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Li J, Huang X, Chuai X, Yang H, Chen H, Li Y, Wu C. Inequality characteristics and influencing factors of CO 2 emissions per capita in Jiangsu Province, China. Environ Sci Pollut Res Int 2024; 31:28564-28577. [PMID: 38561534 DOI: 10.1007/s11356-024-32815-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 03/04/2024] [Indexed: 04/04/2024]
Abstract
Analyzing the inequality characteristics and influencing factors of CO2 emissions per capita (CEPC) is conducive to balancing regional development and CO2 emissions reduction. This study applied the Gini coefficient and Theil index to investigate the CEPC inequalities during 2005-2017 at the county level in Jiangsu Province, China. Considering the spatial spillover and interaction effects, the factors influencing CEPC were analyzed by a hierarchical spatial autoregressive model. The results showed that the inequalities in CEPC first increased and then decreased at the inter-regional, and inter-county levels. The spatial pattern of CEPC was stable, and there was a significantly positive spatial autocorrelation of CEPC at the county level. The High-High type counties were mainly located in Sunan (southern Jiangsu). The spatial interaction effects of the CEPC between the prefecture and county levels indicated that governments at the prefecture level should integrate their county governments to reduce the CEPC. Moreover, carbon intensity, GDP per capita, land urbanization, and industrial structure play an important role in reducing CEPC. Our findings provide a scientific basis for formulating reasonable and effective carbon emission reduction policies.
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Affiliation(s)
- Jianbao Li
- School of Public Administration, Nanjing University of Finance & Economics, Nanjing, 210023, Jiangsu, China.
- Government Management Research Centre, Nanjing University of Finance & Economics, Nanjing, 210023, Jiangsu, China.
| | - Xianjin Huang
- School of Geography and Oceanography Sciences, Nanjing University, Nanjing, 210023, Jiangsu, China
| | - Xiaowei Chuai
- School of Geography and Oceanography Sciences, Nanjing University, Nanjing, 210023, Jiangsu, China
- Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, 210046, Jiangsu, China
| | - Hong Yang
- Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, UK
| | - Hongmei Chen
- School of Public Administration, Nanjing University of Finance & Economics, Nanjing, 210023, Jiangsu, China
| | - Ying Li
- School of Public Administration, Nanjing University of Finance & Economics, Nanjing, 210023, Jiangsu, China
| | - Changyan Wu
- School of Economics, Zhejiang Gongshang University, Hangzhou, 310000, Zhejiang, China
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Zhang C, Wang J, Wang H, Zhang H. Surveillance of noise exposure level in industrial enterprises- Jiangsu Province, China, 2022. Front Public Health 2024; 12:1230481. [PMID: 38410664 PMCID: PMC10894969 DOI: 10.3389/fpubh.2024.1230481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 01/29/2024] [Indexed: 02/28/2024] Open
Abstract
Occupational noise exposure is the most prominent problem in industrial enterprises in Jiangsu Province. Since 2019, China has established the National Surveillance System for Occupational Hazards in the workplace to grasp the current occupational hazards in critical industries, including occupational noise. According to the Work Plan for Surveillance of Occupational Hazards in the Workplace (2022) issued by the National Health Commission of the People's Republic of China, the noise exposure level of 3,142 enterprises in our province was monitored, the median and interquartile range (IQR) were calculated, and the distribution of noise exposure level was described by industry classification, enterprise-scale and ownership type of the enterprise. The railway, shipping, aerospace, and other transportation equipment manufacturing industries exhibited the highest proportion (42.9%) of individual noise exposure levels exceeding 85 dB(A), followed by the motor vehicles manufacturing industry (36.4%). The proportion of individual noise exposure levels exceeding 85 dB(A) was higher in medium and small enterprises, with rates of 28.1 and 28.6%, respectively. The highest proportion of personal noise exposure levels exceeding 85 dB(A) was observed in Hong Kong, Macao and Taiwan investment enterprises (37.5%), followed by incorporated companies (34.6%) and limited liability companies (28.1%), the lowest was state-owned enterprises(15.5%). The areas with excessive noise are primarily concentrated in grinding, welding, machining, cutting, and other related operations, accounting for 61.2% of the total. Among these operations, grinding accounts for 29.8%. The highest environmental noise and individual noise intensity were found in sandblasting and grinding positions, with individual noise intensities of 115.5 dB(A) and 108.4 dB(A), respectively. The noise exposure risk is so high that cannot be ignored in the manufacturing industry, especially in Hong Kong, Macao, and Taiwan investment enterprises, incorporated companies and medium and small enterprises.
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Affiliation(s)
| | - Jianfeng Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
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Wang XY, Zhu BL, Han L. [Analysis of active surveillance results of pneumoconiosis in Jiangsu Province in 2019]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:927-931. [PMID: 38195230 DOI: 10.3760/cma.j.cn121094-20221109-00535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Objective: To conduct active surveillance of pneumoconiosis in Jiangsu Province in 2019, to understand the status quo of occupational health of dust-exposed workers, timely detect occupational health damage and occupational hazard factors, and provide scientific basis for the prevention and control of pneumoconiosis in the future. Methods: From January to December 2019, counties (cities and districts) with relatively concentrated dust hazard enterprises in Jiangsu Province were selected as monitoring points to carry out active surveillance of pneumoconiosis, and occupational health examination of dust workers (3540 people) in 255 enterprises were carried out, including chest radiographs and lung function examinations. SPSS 26.0 statistical software was used for statistical analysis of the data, and Chi-square test was used to analyze the difference level of the rate between different groups such as gender, age and service. Results: Among the 255 employers, small enterprises accounted for the highest proportion (186 enterprises, 72.94%), private economy accounted for the highest proportion (225 enterprises, 88.24%), and machinery manufacturing industry accounted for the highest proportion (44 enterprises, 17.25%). Among the 3540 workers exposed to dust, 6 suspected occupational diseases (0.17%), 50 occupational contraindications (1.41%), and 1469 other diseases or abnormalities (41.50%) were detected. Among the 3540 workers exposed to dust, 399 (11.27%) had abnormal chest radiography results, and 848 (23.95%) had abnormal lung function indicators. The abnormal detection rate of chest radiographs in males (12.25%, 359/2931) was higher than that in females (6.57%, 40/609), and the abnormal detection rate of lung function in females (32.18%, 196/609) was higher than that in males (22.24%, 652/2931), with statistical significance (P<0.05). The age of the workers exposed to dust ranged from 17 to 75 (41.78±10.39) years old, and the years of service in contact with dust of the workers ranged from 0.08 to 42 (6.72±7.47) years. There were statistically significant differences in the detection rate of abnormal chest radiography and abnormal lung function among different age and seniority workers (P<0.05). The abnormal rates of forced vital capacity (FVC), forced expiratory volume in the first second (FEV(1)) and FEV(1)/FVC were 13.79% (488/3540), 15.28% (541/3540) and 1.86% (66/3540), respectively. There were significant differences in the detection rate of abnormal chest radiography and abnormal lung function among workers exposed to different dust types (P<0.05) . Conclusion: There are few suspected occupational diseases detected by active surveillance of pneumoconiosis in Jiangsu Province in 2019, and there are differences in occupational health examination results among workers with different dust types, ages, genders and dust exposure years.
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Affiliation(s)
- X Y Wang
- School of Public Health, Nantong University, Nantong 226000, China Office of Rugao Center for Disease Control and Prevention, Rugao 226500, China
| | - B L Zhu
- School of Public Health, Nantong University, Nantong 226000, China Jiangsu Center for Disease Control and Prevention, Nanjing 210009, China
| | - L Han
- Institute of Occupational Disease Prevention and Control, Jiangsu Center for Disease Control and Prevention, Nanjing 210009, China
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Gu W, Xing W, Liang M, Wang Z, Zhang B, Sun S, Fan D, Wang L. Occurrence, distribution, and risk assessment of pesticides in surface water and sediment in Jiangsu Province, China. Environ Sci Pollut Res Int 2023; 30:118418-118429. [PMID: 37907825 DOI: 10.1007/s11356-023-30416-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/08/2023] [Indexed: 11/02/2023]
Abstract
The occurrence and distribution of 157 pesticides were investigated in surface water and sediment in Jiangsu Province, China. Gas chromatography-mass spectrometry was used to analyze and quantify these pesticides, and the risk quotient method was used to evaluate their respective environmental risk. The results showed that 91 pesticides were detected in surface water. The organophosphates (OPPs), fungicides, and amide herbicides were predominant. The total concentration in surface water ranged from 63.7 to 22,463 ng/L, 3.90 to 7262 ng/L, and ND to 34,120 ng/L, respectively. The mean concentration was 3479 ng/L, 1644 ng/L, and 1878 ng/L, respectively. The concentration range of detected pesticides in the Yangtze River Basin was generally lower than that in the Huai River Basin. In sediment samples, a total of 63 pesticides were detected. OPPs and amide herbicides were also ranked highest; the total concentration in sediment samples ranged from 2951 to 47,739 ng/g and 106 to 12,996 ng/g, respectively. And the mean concentrations was 6971 ng/g and 5130 ng/g, respectively. Suqian City had the highest concentration for OPPs and amide herbicides in the Huai River Basin, followed by Huai'an City, while Nanjing City and Yangzhou City ranked highest in the Yangtze River Basin. The spatial distribution of pesticides in Jiangsu Province indicated a concentration significantly higher in the western and northern regions than in the eastern and southern regions, and a concentration generally higher in lakes than in rivers. The risk assessment results showed that OPPs, fungicides, amide herbicides, organochlorines, and triazine herbicides in most surface water samples posed a high risk and had regional pollution characteristics. In sediment samples, organochlorines, carbamates, other herbicides, and other insecticides posed a high risk in northern Jiangsu Province, whereas OPPs, amide herbicides, and triazine herbicides posed high risks everywhere in Jiangsu Province.
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Affiliation(s)
- Wen Gu
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Weilong Xing
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Mengyuan Liang
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Zhen Wang
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Bing Zhang
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Shuai Sun
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Deling Fan
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Lei Wang
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing, 210042, China.
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Wang T, Chuai XW, Xiang A, Gu YJ, Bie M. Carbon budget and evaluation of marine industry in Jiangsu Province, China. Ying Yong Sheng Tai Xue Bao 2023; 34:2527-2535. [PMID: 37899120 DOI: 10.13287/j.1001-9332.202309.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
The measurement and evaluation of carbon budget of marine industry is the basis for promoting green and efficient development of marine economy under the goal of carbon neutrality. We constructed a carbon accounting system for the marine industry in Jiangsu Province, and assessed carbon efficiency and neutrality. The results showed that from 2016 to 2020, the total amount of marine carbon sinks in Jiangsu Province were 894.8 to 2773.2 thousand tons, while carbon emissions of major marine industries were 3538.4 to 4350.6 thousand tons. The net emissions of marine industries ranged from 1478.7 to 2906.1 thousand tons. Both of carbon sinks and emissions were significantly increased in this period. In terms of carbon sinks, the offshore wind power accounted for the largest contribution, followed by ecosystem carbon sequestration, and mariculture carbon sequestration was the smallest. In terms of carbon emissions, the marine transportation industry played a dominant role, followed by coastal tourism and marine fisheries, while the marine engineering and construction industry and marine shipping industry accounted for a small proportion. In general, the carbon neutral status showed that marine industry in Jiangsu Province was in carbon deficit from 2016-2020, but the net emissions were decreasing year by year. The net carbon sink efficiency of mariculture in Jiangsu Province was lower than the national level, and carbon efficiency of offshore wind power was stable.
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Affiliation(s)
- Tong Wang
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Xiao-Wei Chuai
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
- Key Laboratory of Carbon Neutralization and Territorial Space Planning of the Ministry of Natural Resources, Nanjing 210023, China
| | - Ai Xiang
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Yun-Juan Gu
- Marine Economic Monitoring and Assessment Center of Jiangsu Pro-vince, Nanjing 210017, China
| | - Meng Bie
- Marine Economic Monitoring and Assessment Center of Jiangsu Pro-vince, Nanjing 210017, China
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Yang YX, Zhang DK, Lu HY, Zhao XL, Yu H. [Change trends and related risk factors of disease burden on mesothelioma in Jiangsu Province from 1990 to 2019]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:594-600. [PMID: 37667155 DOI: 10.3760/cma.j.cn121094-20220815-00400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Objective: To analyze the change trends and risk factors of mesothelioma disease burden in Jiangsu Province from 1990 to 2019. Methods: In January 2022, using the 2019 Global Burden of Disease Study Data, the Joinpoint regression model was used to analyze the change trends of incidence, mortality, disable-adjusted life years (DALY) and premature mortality of mesothelioma residents in Jiangsu Province from 1990 to 2019, and the attribution level of mesothelioma risk factors was estimated by population attributing fraction. Results: The standardized incidence rates of mesothelioma in Jiangsu Province from 1990 to 2019 ranged from 0.07/10(5) to 0.09/10(5), with an average annual percentage change (AAPC) of -1.1% (t=-13.56, P<0.001). AAPCs in males and females were -0.3% (t=-2.18, P=0.029) and -1.6% (t=-11.39, P<0.001), respectively. The standardized mortality rates of mesothelioma ranged from 0.07/10(5) to 0.09/10(5), the AAPC was -1.1% (t=-12.23, P<0.001), AAPC was -1.6% (t=-14.09, P<0.001) for females, and there was no significant change in males (t=-1.83, P=0.068). The premature mortality was 0.004%-0.006%, the AAPC was -1.0% (t=-4.40, P<0.001), AAPC was -1.7% (t=-13.72, P<0.001) for females, and there was no significant change in males (t=-0.68, P=0.495). The standardized DALY rates ranged from 1.86/10(5) to 2.32/10(5), the AAPC was -0.9% (t=-11.08, P<0.001), AAPC was -1.6% (t=-11.05, P<0.001) for females, and there was no significant change in males (t=-0.95, P=0.343). Both the standardized years of life lost (YLL) rate and the standardized years lived with disability (YLD) rate showed a decreasing trend, and the AAPCs were -0.9% (t=-7.66, P<0.001) and -1.0% (t=-12.88, P<0.001), respectively. The proportion of YLL in DALY was more than 98.5%. Among the risk factors for mesothelioma burden attribution, the AAPC attributed to occupational asbestos exposure of DALY was 1.4% (t=3.43, P=0.001). The AAPC of DALY rate of standardized attribution was -1.7% (t=-12.11, P<0.001) . Conclusion: The overall burden of mesothelioma in Jiangsu Province is decreasing, occupational asbestos exposure is still the main risk factor of mesothelioma in Jiangsu Province, and early diagnosis and treatment should be strengthened.
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Affiliation(s)
- Y X Yang
- Department of Non-communicable Chronic Disease Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - D K Zhang
- Department of Non-communicable Chronic Disease Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - H Y Lu
- Department of Non-communicable Chronic Disease Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - X L Zhao
- Department of Non-communicable Chronic Disease Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - H Yu
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
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Zhang Y, Cao Y, Yang K, Wang W, Yang M, Chai L, Gu J, Li M, Lu Y, Zhou H, Zhu G, Cao J, Lu G. [Risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on the machine learning]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:225-235. [PMID: 37455092 DOI: 10.16250/j.32.1374.2022290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To create risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on machine learning algorithms, so as to provide insights into early identification of imported malaria cases in Jiangsu Province. METHODS Case investigation, first symptoms and time of initial diagnosis of imported malaria patients in Jiangsu Province in 2019 were captured from Infectious Disease Report Information Management System and Parasitic Disease Prevention and Control Information Management System of Chinese Center for Disease Control and Prevention. The risk predictive models of healthcare-seeking delay among imported malaria patients were created with the back propagation (BP) neural network model, logistic regression model, random forest model and Bayesian model using thirteen factors as independent variables, including occupation, species of malaria parasite, main clinical manifestations, presence of complications, severity of disease, age, duration of residing abroad, frequency of malaria parasite infections abroad, incubation period, level of institution at initial diagnosis, country of origin, number of individuals travelling with patients and way to go abroad, and time of healthcare-seeking delay as a dependent variable. Logistic regression model was visualized using a nomogram, and the nomogram was evaluated using calibration curves. In addition, the efficiency of the four models for prediction of risk of healthcare-seeking delay among imported malaria patients was evaluated using the area under curve (AUC) of receiver operating characteristic curve (ROC). The importance of each characteristic was quantified and attributed by using SHAP to examine the positive and negative effects of the value of each characteristic on the predictive efficiency. RESULTS A total of 244 imported malaria patients were enrolled, including 100 cases (40.98%) with the duration from onset of first symptoms to time of initial diagnosis that exceeded 24 hours. Logistic regression analysis identified a history of malaria parasite infection [odds ratio (OR) = 3.075, 95% confidential interval (CI): (1.597, 5.923)], long incubation period [OR = 1.010, 95% CI: (1.001, 1.018)] and seeking healthcare in provincial or municipal medical facilities [OR = 12.550, 95% CI: (1.158, 135.963)] as risk factors for delay in seeking healthcare among imported malaria cases. BP neural network modeling showed that duration of residing abroad, incubation period and age posed great impacts on delay in healthcare-seek among imported malaria patients. Random forest modeling showed that the top five factors with the greatest impact on healthcare-seeking delay included main clinical manifestations, the way to go abroad, incubation period, duration of residing abroad and age among imported malaria patients, and Bayesian modeling revealed that the top five factors affecting healthcare-seeking delay among imported malaria patients included level of institutions at initial diagnosis, age, country of origin, history of malaria parasite infection and individuals travelling with imported malaria patients. ROC curve analysis showed higher overall performance of the BP neural network model and the logistic regression model for prediction of the risk of healthcare-seeking delay among imported malaria patients (Z = 2.700 to 4.641, all P values < 0.01), with no statistically significant difference in the AUC among four models (Z = 1.209, P > 0.05). The sensitivity (71.00%) and Youden index (43.92%) of the logistic regression model was higher than those of the BP neural network (63.00% and 36.61%, respectively), and the specificity of the BP neural network model (73.61%) was higher than that of the logistic regression model (72.92%). CONCLUSIONS Imported malaria cases with long duration of residing abroad, a history of malaria parasite infection, long incubation period, advanced age and seeking healthcare in provincial or municipal medical institutions have a high likelihood of delay in healthcare-seeking in Jiangsu Province. The models created based on the logistic regression and BP neural network show a high efficiency for prediction of the risk of healthcare-seeking among imported malaria patients in Jiangsu Province, which may provide insights into health management of imported malaria patients.
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Affiliation(s)
- Y Zhang
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - Y Cao
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - K Yang
- School of Artificial Intelligence, Yangzhou University, China
| | - W Wang
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - M Yang
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - L Chai
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - J Gu
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - M Li
- School of Nursing, Yangzhou University, China
| | - Y Lu
- Health and Quarantine Office, Nanjing Customs, China
| | - H Zhou
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - G Zhu
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - J Cao
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - G Lu
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
- Jiangsu Key Laboratory of Zoonoses, Yangzhou University, Yangzhou, Jiangsu 225007, China
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Wang Q, Zhao XF, Lin SH, Huang XJ, Lv JC. Identifying spatial agglomeration and driving forces of land use by green industries: a case study of Jiangsu Province, China. Environ Sci Pollut Res Int 2023; 30:54586-54599. [PMID: 36877393 DOI: 10.1007/s11356-023-25740-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
In response to China's aims of becoming "carbon-neutral," the development of green industries such as renewable energy and recycling has flourished. Based on 2015 and 2019 data, this study uses spatial autocorrelation to analyze the evolution of land use by the green industries in Jiangsu Province. The Geodetector model was also applied to identify the driving factors underlying these spatial patterns. The spatial variability of green industrial land use in Jiangsu Province is significant, with the land-use area gradually decreasing from Southern to Northern Jiangsu. In terms of spatial-temporal changes, there is an increase in land use and a trend of expansion in the central and northern regions of Jiangsu. Land use by green industries in the province exhibits a more significant spatial clustering pattern but with a weakened clustering effect. The clustering types are mainly H-H and L-L, with the H-H type distributed mainly in the Su-Xi-Chang region and the L-L type distributed mainly in the Northern Jiangsu region. The levels of technology, economic development, industrialization, and industrial diversification are important individual driving factors, and the interaction among the different factors enhances their driving forces. This study suggests that spatial spillover effects should be focused to promote the coordinated development of regional energy-saving and environmental protection industries. At the same time, joint efforts should be made from the aspects of resources, government, economy, and related industries to promote the agglomeration of land for energy-saving and environmental protection industries.
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Affiliation(s)
- Qi Wang
- Department of Land Resource Management, Hohai University, No. 8 W Focheng Road, Nanjing, 211100, Jiangsu, China
| | - Xiao-Feng Zhao
- Department of Land Resource Management, Hohai University, No. 8 W Focheng Road, Nanjing, 211100, Jiangsu, China.
| | - Sheng-Hau Lin
- Department of Public Administration, Law School, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo City, 315211, Zhejiang Province, China
| | - Xian-Jin Huang
- School of Geographic and Oceanographic Sciences, Nanjing University, No. 163 Xianlin Road, Nanjing, 210023, Jiangsu, China
| | - Jian-Cheng Lv
- Institute of Land Surveying and Planning of Jiangsu, No. 222 Changhong Road, Nanjing, 210024, China
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Zhang J, Zhou Y, Guo J, Li J, Wu Y, Zhou Z, Zhu H, Luo X, Chen D, Li Q, Liu X, Li W. [Prevalence and molecular characterization of Cryptosporidium in captive-bred Mustela putorius furo in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:73-77. [PMID: 36974018 DOI: 10.16250/j.32.1374.2022159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
OBJECTIVE To investigate the prevalence and molecular features of Cryptosporidium in captive-bred Mustela putorius furo in Jiangsu Province. METHODS A total of 290 fresh stool samples were collected from a ferret farm in Jiangsu Province on May 2017, and the small subunit rRNA (SSU rRNA) gene of Cryptosporidium was amplified in stool samples using nested PCR assay. The actin, cowp and gp60 genes were amplified in positive samples and sequenced to characterize Cryptosporidium species/genotypes. RESULTS A total of 18 stool samples were tested positive for Cryptosporidium SSU rRNA gene, with a detection rate of 6.2%. Sequence and phylogenetic analyses of SSU rRNA, actin and cowp genes characterized Cryptosporidium isolated from captive-bred ferrets as Cryptosporidium sp. ferret genotype. In addition, gp60 gene was amplified in 10 out of 18 stool samples tested positive for Cryptosporidium. CONCLUSIONS Cryptosporidium is widely prevalent in captive-bred ferrets in Jiangsu Province, and Cryptosporidium sp. ferret genotype is the only Cryptosporidium genotype in ferrets.
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Affiliation(s)
- J Zhang
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - Y Zhou
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, China
| | - J Guo
- Animal Husbandry Development Center of Lu'an City, China
| | - J Li
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - Y Wu
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - Z Zhou
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - H Zhu
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - X Luo
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - D Chen
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - Q Li
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - X Liu
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
| | - W Li
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, Anhui 233100, China
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Li J, Tang J, Wu J, Yang M, Zhang M, Liang C, Zhou H, Zhu G, Cao J. [Surveillance of Aedes populations in Jiangsu Province in 2020]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2022; 35:63-67. [PMID: 36974016 DOI: 10.16250/j.32.1374.2022107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
OBJECTIVE To investigate the seasonal Aedes population fluctuation and the resistance of Aedes populations to common insecticides in Jiangsu Province in 2020, so as to provide insights into vector-borne infectious diseases control. METHODS One village was randomly sampled from each of Xinbei District of Changzhou City and Zhangjiagang County of Suzhou City in southern Jiangsu Province, Hai'an County of Nantong City and Yandu District of Yancheng City in Central Jiangsu Province, and Suining County of Xuzhou City and Sihong County of Suqian City in northern Jiangsu Province during the period between May and October, 2020. A small ponding container was sampled, and larval Aedes mosquitoes were collected using straws once each in early and late stages of each month. All larvae were bred in laboratory to adults for population identification. In addition, larval breeding were observed in all small ponding containers in and out of 30 households that were randomly sampled from six surveillance sites, and the larval mosquito density was estimated using Breteau index. Larval A. albopictus mosquitoes were sampled around Cuiyuan New Village in Jintan District of Changzhou City, and bred in laboratory to the first offspring generation, and the susceptibility of adult female mosquitoes to deltamethrin, lambda-cyhalothrin, malathion, and propoxur was tested using the filter-paper bioassay recommended by WHO. RESULTS A total of 1 165 larval Aedes mosquitoes were captured from small ponding containers in six surveillance sites of Jiangsu Province in 2020, and all were identified as A. albopictus following eclosion. The largest number of Aedes larvae captured was found in July. A total of 1 152 households were investigated in six surveillance sites, and the mean Breteau indexes were 9.58, 13.20, 13.71, 13.20, 12.18 and 5.58 from May to October, respectively, while a high Aedes transmission risk was seen in Xinbei District of Changzhou City, with a higher Breteau index than in Suining (H = 23.667, Padjusted = 0.001) and Sihong (H = 22.500, Padjusted = 0.003) counties. The field-captured A. albopictus from Cuiyuan New Village in Jintan District of Changzhou City remained sensitive to malathion, but was resistant to propoxur, and developed high-level resistance to deltamethrin and lambda-cyhalothrin. CONCLUSIONS A. albopictus was present in southern, central and northern Jiangsu Province in 2020, and the larval density peaked in July. A. albopictus captured from Cuiyuan New Village in Jintan District of Changzhou City has developed high-level resistance to pyrethroid pesticides.
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Affiliation(s)
- J Li
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - J Tang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - J Wu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - M Yang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - M Zhang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - C Liang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - H Zhou
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - G Zhu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - J Cao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
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Hu C, Fan J, Chen J. Spatial and Temporal Characteristics and Drivers of Agricultural Carbon Emissions in Jiangsu Province, China. Int J Environ Res Public Health 2022; 19:ijerph191912463. [PMID: 36231763 PMCID: PMC9564916 DOI: 10.3390/ijerph191912463] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 05/29/2023]
Abstract
Scientific measurement and analysis of the spatial and temporal distribution characteristics of agricultural carbon emissions (ACEs) and the influencing factors are important prerequisites for the formulation of reasonable ACEs reduction policies. Compared with previous studies, this paper fully considers the heterogeneity of rice carbon emission coefficients, measures and analyzes the spatial and temporal characteristics of ACEs in Jiangsu Province from three carbon sources, including agricultural land use, rice cultivation, and livestock and poultry breeding, and explores spatial clustering patterns and driving factors, which can provide a reference for agricultural low-carbon production. The results indicate that from 2005 to 2020, Jiangsu's ACEs showed a decreasing trend, with an average annual decrease of 0.32%, while agricultural carbon emission density (ACED) showed an increasing trend, with an average annual increase of 0.16%. The area with the highest values for ACEs is concentrated in the northern region of Jiangsu, while the areas with the highest values for ACED are distributed in the southern region. The spatial clustering characteristics of ACEs have been strengthening. The "H-H" agglomeration is mainly concentrated in Lianyungang and Suqian, while the "L-L" agglomeration is concentrated in Zhenjiang, Changzhou, and Wuxi. Each 1% change in rural population, economic development level, agricultural technology factors, agricultural industry structure, urbanization level, rural investment, and per capita disposable income of farmers causes changes of 0.112%, -0.127%, -0.116%, 0.192%, -0.110%, -0.114%, and -0.123% in Jiangsu's ACEs, respectively. To promote carbon emission reduction in agriculture in Jiangsu Province, we should actively promote the development of regional synergistic carbon reduction, accelerate the construction of new urbanization, and guide the coordinated development of agriculture, forestry, animal husbandry, and fisheries industries.
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Affiliation(s)
- Chao Hu
- College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
| | - Jin Fan
- College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
- Economic Development Quality Research Center Base, Nanjing Forestry University, Nanjing 210037, China
| | - Jian Chen
- College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
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Cao Y, Lu G, Zhou H, Wang W, Liu Y, Yang M, Liang C, Zhu G, Cao J. Case-based malaria surveillance and response: implementation of 1-3-7 approach in Jiangsu Province, China. Adv Parasitol 2022; 116:1-31. [PMID: 35752445 DOI: 10.1016/bs.apar.2022.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Following initiation of China's National Malaria Elimination Action Plan (NMEAP) in 2010, China's 1-3-7 surveillance and response approach was developed and rolled out in China to facilitate the malaria control programme and accelerate the progress of malaria elimination. Innovative strategies and interventions have been developed and implemented in Jiangsu Province to facilitate case-based malaria surveillance and response. A total of 9879 malaria cases were reported in Jiangsu Province from 2001 to 2020. Since 2012, no indigenous malaria cases have been reported in Jiangsu Province. However, in recent years, there has been a substantial increase of imported cases from abroad. To continue improving the malaria surveillance and response system, Jiangsu Province has conducted population-based health education to improve the healthcare seeking behaviour of malaria patients, strengthened the capacity of health facilities to improve the performance of malaria diagnosis and treatment, and strengthened health workforce capacity to improve the implementation of 1-3-7 approach. Continually improving surveillance and response system can play a critical role in the early detection and rapid response of individual malaria cases and prevent the re-establishment of malaria.
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Affiliation(s)
- Yuanyuan Cao
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Guangyu Lu
- School of Public Health, Medical College of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, PR China
| | - Huayun Zhou
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Weiming Wang
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Yaobao Liu
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Mengmeng Yang
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Cheng Liang
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Guoding Zhu
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, PR China.
| | - Jun Cao
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, PR China.
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Fan CH, Zhou L, Xie LZ, Ye M, Zhu BL, Zhang HD, Zhao Y, Han L. [Investigation on diagnosis of pneumoconiosis in non-coal mining industry in Jiangsu Province]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:358-361. [PMID: 35680579 DOI: 10.3760/cma.j.cn121094-20210316-00146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To understand the incidence of pneumoconiosis in the non-coal mining industry in Jiangsu Province, and provide reference for the prevention and control of pneumoconiosis in the non-coal mining industry. Methods: The data of 7019 newly diagnosed pneumoconiosis patients in non-coal mining industry in Jiangsu Province from January 1956 to December 2019 were collected through the Jiangsu Province Pneumoconiosis Follow-up Network Report System, including the gender of the pneumoconiosis patients, the name of the employer and the location, the industry classification of the employer, the duration of dust exposure in dust exposure, the name of occupational pneumoconiosis disease, the date of diagnosis of pneumoconiosis, etc. The collected case data of patients with pneumoconiosis were entered into the statistical software, and the characteristics of the patients' diagnosis time, region and industry were analyzed. Results: The number of confirmed pneumoconiosis patients in the non-coal mining industry in Jiangsu Province was mostly in 2007 (395 cases) , concentrated in Wuxi City (40.96%, 2875/7019) and Suzhou City (27.72%, 1946/7019) . The industries to which the patients belonged were mainly non-metallic mining and dressing (60.95%, 4278/7019) , and the most common type of pneumoconiosis was silicosis (96.40%, 6766/7019) . The patients were mainly stageⅠpneumoconiosis (61.33%, 4305/7019) . There were statistically significant differences in the mean age of diagnosis and the average duration of dust exposure among patients with different pneumoconiosis stages (P<0.01) . The differences in the average diagnosis age and the average duration of dust exposure of patients with different types of pneumoconiosis were statistically significant (P<0.05) , the mean age of diagnosis and the average duration of dust exposure of electric welders were the smallest, which were (44.92±7.74) years old and (17.38±10.15) years, respectively. Conclusion: The regional and industry distribution characteristics of new pneumoconiosis patients in the non-coal mining industry in Jiangsu Province are obvious, and attention should be paid to the treatment of pneumoconiosis patients with young diagnosed age and short duration of dust exposure, as well as the personal protection and health protection of front-line workers such as electric welders who are exposed to productive dust in a short period of time.
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Affiliation(s)
- C H Fan
- Director's Office, Jiangyan District Center for Disease Control and Prevention, Taizhou City, Taizhou 225500, China
| | - L Zhou
- Occupational Disease Prevention and Control Institute, Jiangsu Center for Disease Control and Prevention, Nanjing 210028, China
| | - L Z Xie
- Occupational Disease Prevention and Control Institute, Jiangsu Center for Disease Control and Prevention, Nanjing 210028, China Jiangsu Preventive Medicine Association, Nanjing 210009, China
| | - M Ye
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - B L Zhu
- Occupational Disease Prevention and Control Institute, Jiangsu Center for Disease Control and Prevention, Nanjing 210028, China
| | - H D Zhang
- Occupational Disease Prevention and Control Institute, Jiangsu Center for Disease Control and Prevention, Nanjing 210028, China
| | - Y Zhao
- Occupational Disease Prevention and Control Institute, Jiangsu Center for Disease Control and Prevention, Nanjing 210028, China
| | - L Han
- Occupational Disease Prevention and Control Institute, Jiangsu Center for Disease Control and Prevention, Nanjing 210028, China
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Zhang X, Wang J, Yue C, Ma S, Wang LJ. Exploring the spatiotemporal changes in carbon storage under different development scenarios in Jiangsu Province, China. PeerJ 2022; 10:e13411. [PMID: 35586132 PMCID: PMC9109690 DOI: 10.7717/peerj.13411] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/19/2022] [Indexed: 01/14/2023] Open
Abstract
Carbon storage (CS) is closely linked to the global challenge of climate change. Land use/cover (LULC) change is the main factor driving changes in CS, and evaluating the impact of LULC changes on CS is important for carbon balance. Taking Jiangsu Province as an example, we used the Integrated Valuation of Ecosystem Services and Trade-offs model to analyze the spatiotemporal changes in CS during 2000-2015. Then we coupled it with the patch-generating land use simulation model to simulate and predict LULC and CS in 2050 under four different development plans. The results showed that LULC change in Jiangsu Province was manifested mainly as transformation of cropland to construction land (3,485 km2) and cropland to water body (470 km2). The high value area for CS was concentrated mainly in forest land, water body and grassland, whereas the low value area was concentrated mainly in construction land. During 2000-2015, CS decreased by 0.23 Tg, and during 2015-2050, CS was predicted to decrease by 0.16, 1.69, 0.02, and 0.10 Tg under the baseline, fast, slow and harmonious development scenarios. The conversion of a large amount of cropland to construction land was the main cause of CS loss. In all scenarios, the carbon loss was the largest in southern Jiangsu and lowest in central Jiangsu. It is necessary to balance the conflict between economic development and ecological protection during the process of urbanization. This study can provide an important reference for decision makers during the formulation of regional development models and ecological management strategies.
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Affiliation(s)
| | - Jun Wang
- Zhejiang Academy of Forestry, Hangzhou, China
| | - Chunlei Yue
- Zhejiang Academy of Forestry, Hangzhou, China
| | - Shuai Ma
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Liang-Jie Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
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15
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Lu GY, Cao YY, Wang WM, Yang MM, Liu YB, Zhang YY, Chen Q, Lu Y, Zhou HY, Zhu GD, Cao J. [Time to initial diagnosis of imported malaria and its influencing factors in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2022; 34:172-178. [PMID: 35537839 DOI: 10.16250/j.32.1374.2021185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To investigate the health-seeking behaviors of imported malaria cases after returning to China, and to investigate the factors affecting the time to initial diagnosis, so as to provide the scientific evidence for early identification of imported malaria cases and prevention of severe cases development and secondary transmission. METHODS The individual demographic features, and the disease onset and the time to initial diagnosis of imported malaria cases in Jiangsu Province in 2019 were captured from the National Notifiable Disease Report System and the Information Management System for Parasitic Disease Control in China. The characteristics of health-seeking behaviors and epidemiological features of imported malaria cases were descriptively analyzed, and the factors affecting the time to initial diagnosis of imported malaria cases after returning to China were identified using multivariate logistic regression analysis. RESULTS A total of 244 imported malaria cases were reported in Jiangsu Province in 2019, and the time to initial diagnosis of the cases were 1-12 days, with mean time of (1.53 ± 1.65) days, with median time of one day. The highest number of malaria cases seeking healthcare services were found on the day of developing primary symptoms (76 cases, 31.1%), followed by on the second day (68 cases, 27.9%), on the third day (46 cases, 18.9%), and 54 cases (22.1%) received initial diagnosis 3 days following presence of primary symptoms, including 3 cases with initial diagnosis at more than one week. High proportions of imported malaria cases with a delay in the time to initial diagnosis were seen in migrant workers who returned to China in January (14 cases, 5.7%) and December (13 cases, 5.3%) and those aged between 41 and 50 years (32 cases, 13.1%). Multivariate logistic regression analysis showed relative short time to initial diagnosis among imported malaria cases returning to China on March [odds ratio (OR) = 0.16, P = 0.03, 95% confidence interval (CI): (0.03, 0.85)] and those with a history of overseas malaria parasite infections [OR = 0.36, P = 0.001, 95% CI: (0.19, 0.67)]. CONCLUSIONS Timely health-seeking behaviors should be improved among imported malaria cases in Jiangsu Province, patients with a history of overseas malaria infections require faster health-seeking activities.
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Affiliation(s)
- G Y Lu
- School of Public Health, Medical College of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - Y Y Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - W M Wang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - M M Yang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - Y B Liu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - Y Y Zhang
- School of Public Health, Medical College of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - Q Chen
- Institute of Global Health, University of Heidelberg, Germany
| | - Y Lu
- Health and Quarantine Office, Nanjing Customs, China
| | - H Y Zhou
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - G D Zhu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - J Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
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Chen L, Gong Y, Yuan L. Health behaviour and its determinants in elderly patients with chronic diseases: evidence from Jiangsu Province, China. BMC Geriatr 2022; 22:297. [PMID: 35392819 PMCID: PMC8988547 DOI: 10.1186/s12877-022-03010-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 03/31/2022] [Indexed: 12/02/2022] Open
Abstract
Background Chronic disease is a major cause of mortality among elderly individuals in China, and treatment is a substantial public health burden. However, behavioural interventions may be more important than mere clinical treatment of these chronic diseases. Objective The paper aimed to assess the health behaviour of a sample of elderly individuals with chronic diseases in Jiangsu Province, China and to identify how demographic characteristics influence health behaviour. Furthermore, the group that would likely need the most health intervention was identified. Design A version of the Health Promoting Lifestyle Profile II (HPLP-II) was adapted to Chinese to evaluate health behaviours in six dimensions: nutrition, tobacco and alcohol use, physical activity, stress management, health responsibility, and spiritual growth. Multistage random sampling was conducted from October 2020 to May 2021. Questionnaires incorporating the adapted HPLP-II were distributed to 900 elderly patients (i.e., aged 60 and above) with chronic diseases in the three sampled prefectures of Jiangsu Province; of these questionnaires, 791 were completed. Univariate t tests, principal component analysis, and multivariate linear regressions were employed in the analysis. Results The average total score of respondents on health behaviour was 73.73. The dimensions (ordered from highest to lowest scores) are as follows: “nutrition”, “tobacco and alcohol use”, “health responsibility”, “spiritual growth”, “stress management”, and “physical activity”. The multivariate linear regression suggested that the determinants (P < 0.05) of health behaviour (total score) were income, sex, age, relationship status, residence, and education. Conclusions Elderly patients with chronic diseases in Jiangsu Province generally behaved in a healthy manner. “Physical activity”, “stress management”, and “spiritual growth” were the dimensions that would most benefit from health intervention, while elderly single/divorced/widowed patients with lower income and less education should be the target group for health intervention.
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Affiliation(s)
- Li Chen
- School of Economics, Changzhou University, Changzhou, 213000, People's Republic of China
| | - Yinghua Gong
- Shanghai National Accounting Institute, Shanghai, 201799, People's Republic of China.
| | - Liang Yuan
- College of Business, Shanghai University of Finance and Economics, Shanghai, 200433, People's Republic of China
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Pan X, Li J, Wei J, Yue Y, Liu L. Measuring green development level at a regional scale: framework, model, and application. Environ Monit Assess 2022; 194:343. [PMID: 35389100 DOI: 10.1007/s10661-022-09953-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 03/12/2022] [Indexed: 06/14/2023]
Abstract
In this study, we propose and construct a novel model that measures regional green development level based on the "three-circle" conceptual framework for green development. Using Jiangsu Province in eastern China as a case study, the spatial-temporal characteristics and dynamics of the green development level from 2000 to 2020 were evaluated using a multi-source dataset at the grid-cell level. Our results show that (1) the analytical hierarchy process-based model proposed herein has higher reliability in terms of the development level measurement than principal component analysis and the entropy weight method. In addition, the average score of green development in the study area was approximately 0.53. Spatially, the green development level in the eastern coastal areas of the study area was found to be generally higher than in other regions, while that in southwestern regions is relatively low. In terms of sub-regions, the green development level scores of the study area have been ranked as follows: middle Jiangsu > southern Jiangsu > northern Jiangsu. (2) It was observed that the gravity center of the green development level can be divided into three stages during the study, with a whole had shifted to the north. (3) For most cities in Jiangsu, the green development level initially increased at first, then declined, and then increased again. (4) In the future, the green development level of Jiangsu Province should pay more attention to promoting regional coordinated development and relationships between society and the environment under rapid economic development.
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Affiliation(s)
- Xia Pan
- School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China
| | - Jianguo Li
- School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China.
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Yapeng Yue
- School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China
| | - Lili Liu
- School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China
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Pan C, Kang ZM. [Impact of Meteorological Conditions on PM 2.5 in Jiangsu Province from 2001 to 2019]. Huan Jing Ke Xue 2022; 43:649-662. [PMID: 35075839 DOI: 10.13227/j.hjkx.202104292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The weather research and forecasting model coupled with chemistry (WRF-Chem) was used to investigate the impact of meteorological conditions on PM2.5 in Jiangsu Province from 2001 to 2019. Under the condition of constant emission sources, the strongest positive and negative anomalies of annual PM2.5 concentration caused by meteorological conditions occurred in 2008 and 2001, respectively. Furthermore, their anomalies respectively accounted for 10.5% and -14.3% relative to the long-time averaged annual PM2.5 concentration, indicating that meteorological conditions are an important factor causing the interannual variation in PM2.5 concentration in Jiangsu Province. The empirical orthogonal function decomposition results show that the influence of meteorological conditions on the spatial distribution of PM2.5 concentration in Jiangsu Province is consistent under this mode. Additionally, the boundary layer height, temperature, relative humidity, wind speed, and precipitation all have significant negative correlations with the PM2.5 concentration in Jiangsu Province. Meanwhile, the linear regression equation constructed by the above meteorological factors can characterize the relationship between PM2.5 concentration and meteorological conditions well. Moreover, the correlation between the fitting value and the simulated value was 0.73, which was statistically significant at a 99% confidence level according to a student's t test.
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Affiliation(s)
- Chen Pan
- Jiangsu Meteorological Observatory, Jiangsu Meteorological Bureau, Nanjing 210008, China
- Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing 210009, China
| | - Zhi-Ming Kang
- Jiangsu Meteorological Observatory, Jiangsu Meteorological Bureau, Nanjing 210008, China
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Wang YY, Zhang JX, Tian T, Gao MY, Zhu QR, Xie W, Fu LM, Wang SK, Dai Y. Dietary patterns in association with the risk of elevated blood pressure, lipid profile and fasting plasma glucose among adults in Jiangsu Province of China. Nutr Metab Cardiovasc Dis 2022; 32:69-79. [PMID: 34920942 DOI: 10.1016/j.numecd.2021.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 07/28/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND AIMS This study aimed to identify unique dietary patterns, and to examine the correlation of dietary patterns with elevated blood pressure, lipid profile and fasting plasma glucose (FPG) among adults in Jiangsu Province of China. METHODS AND RESULTS 4951 individuals were selected in this cross-sectional study from nutrition and health survey in Jiangsu Province in 2014. Factor analysis was used to identify the dietary patterns. Higher quartile of the cereals-seafood-dairy dietary pattern was inversely associated with high low-density lipoprotein cholesterol (LDL) (composed to Q1, OR = 0.834, 95% CI: 0.700∼0.993, P < 0.05) and FPG (composed to Q1, OR = 0.725, 95% CI: 0.609-0.862, P < 0.05), while higher quartile of the traditional Jiangsu dietary pattern was positively associated with low high-density lipoprotein cholesterol (HDL) (composed to Q1, OR = 1.395, 95% CI: 1.067∼1.825, P < 0.05) and high systolic blood pressure (SBP) (composed to Q1, OR = 1.238, 95% CI: 1.020∼1.503, P < 0.05). Higher scores of the refined food-oriented dietary pattern was inversely related to high triglycerides (TG) (composed to Q1, OR = 0.665, 95% CI: 0.551∼0.802, P < 0.05), but was positively related to high TC (composed to Q1, OR = 2.179, 95% CI: 1.817∼2.614), high LDL (composed to Q1, OR = 2.431, 95% CI: 2.037∼2.902, P < 0.05) and elevated FPG (composed to Q1, OR = 1.734, 95% CI: 1.458∼2.061, P < 0.05). CONCLUSION Different structure of dietary patterns do affect the blood pressure, lipid profile and fasting plasma glucose among adults in Jiangsu Province, China.
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Affiliation(s)
- Yuan-Yuan Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Jing-Xian Zhang
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Ting Tian
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Min-Yue Gao
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Qian-Rang Zhu
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Wei Xie
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Ling-Meng Fu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Shao-Kang Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China.
| | - Yue Dai
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China; Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
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Wang WM, Cao YY, Yang MM, Lu Y, Gu YP, Xu S, Zhou HY, Zhu GD. [Epidemiological characteristics of imported Plasmodium ovale malaria in Jiangsu Province from 2012 to 2020]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 34:66-71. [PMID: 35266359 DOI: 10.16250/j.32.1374.2021186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To analyze the epidemiological characteristics of imported cases with Plasmodium ovale infections in Jiangsu Province from 2012 to 2020, so as to provide insights into the development of the imported malaria control strategy in the province. METHODS All data pertaining to cases with definitive diagnosis of P. ovale malaria in Jiangsu Province from 2012 to 2020 were captured from the National Notifiable Disease Report System and the Information Management System for Parasitic Disease Control in China, including the date of going abroad and returning to China, time of malaria infections overseas, date of malaria onset, initial diagnosis and definitive diagnosis. All data pertaining to epidemic status were descriptively analyzed. RESULTS A total of 347 cases of P. ovale malaria were reported in Jiangsu Province from 2012 to 2020, with the highest number seen in 2015 (71 cases). All cases were laboratory-confirmed overseas imported malaria cases, accounting for 14.32% of all reported malaria cases in Jiangsu Province during the period from 2012 to 2020. The 5 cities with the highest number of imported P. ovale malaria cases included Lianyungang City (53 cases, 15.27%), Nantong City (44 cases, 12.68%), Huai'an (44 cases, 12.68%), Taizhou City (44 cases, 12.68%) and Yangzhou City (36 cases, 10.37%). The highest number of imported P. ovale malaria cases was reported in October (39 cases, 11.24%), and the lowest number was seen in December (21 cases, 6.05%). P. ovale infections mainly occurred in were Equatorial Guinea (97 cases, 37.95%), Angola (60 cases, 17.29%) and Nigeria (40 cases, 11.53%). The median duration between returning to China and malaria onset was 64 (144) days, and 7.49% (26/347) of all cases developed malaria one year after returning to China. The initial diagnosis of P. ovale malaria was mainly made at county-level medical institutions (117 cases, 33.72%), and the definitive diagnosis was mainly made at city-level medical institutions (122 cases, 35.16%). The correct rate of initial diagnosis of P. ovale malaria increased from 0 in 2012 to 78.26% in 2020, appearing a tendency towards a rise year by year (χ2 = 50.90, P < 0.01). CONCLUSIONS Imported P. ovale malaria cases were reported in Jiangsu Province each year from 2012 to 2020, and P. ovale infections predominantly occurred in Africa. Initial and definitive diagnoses of P. ovale malaria were mainly made at city- and county-level medical institutions. Training on the detection ability of malaria parasites is recommended among grassroots microscopists to improve the diagnostic ability of P. ovale malaria, and consolidate the achievements of malaria elimination in Jiangsu Province.
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Affiliation(s)
- W M Wang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - Y Y Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - M M Yang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - Y Lu
- Health and Quarantine Office, Nanjing Customs, China
| | - Y P Gu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - S Xu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - H Y Zhou
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - G D Zhu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
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Wang Y, Dai Y, Tian T, Zhang J, Xie W, Pan D, Xu D, Lu Y, Wang S, Xia H, Sun G. The Effects of Dietary Pattern on Metabolic Syndrome in Jiangsu Province of China: Based on a Nutrition and Diet Investigation Project in Jiangsu Province. Nutrients 2021; 13:nu13124451. [PMID: 34960003 PMCID: PMC8708757 DOI: 10.3390/nu13124451] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/09/2021] [Accepted: 12/10/2021] [Indexed: 12/11/2022] Open
Abstract
Metabolic syndrome, a complex group of metabolic disorders of energy use and storage, is considered as an important determinant risk factor for many cardiovascular diseases. This study aimed to examine the association between metabolic syndrome (MetS) and dietary pattern among adults in Jiangsu Province of China. Data were from three rounds of cross–sectional nutrition and diet investigation projects in Jiangsu Province of China, which were conducted in 2002, 2007, and 2014 by Jiangsu Provincial Center for Disease Control and Prevention. A total of 13,944 participants with complete food frequency questionnaire (FFQ) were eventually included in this study after further data screening. The 2009 Joint Interim Statement for China was used to define metabolic syndrome. Three distinct dietary patterns were identified by factor analysis: the modern dietary pattern (rich in pork, poultry, vegetables, seafood, pastry food, other animal meats, fruits, milk and its products, soft drink, whole grains, nuts, and seeds, but low in wheat), vegetable oils/condiments/soy products dietary pattern (rich in vegetable oils, other condiments, salt, soy products, and fruits and low in dry legumes), and modern high–wheat dietary pattern (rich in wheat, tubers, fruits, and other animal meats, but low in rice). Higher intake of the modern dietary pattern and modern high–wheat dietary pattern were positively associated with metabolic syndrome in both unadjusted and adjusted models by genders, whereas higher intake of the vegetable oils/condiments/soy products dietary pattern had a negative relationship with metabolic syndrome in both unadjusted and adjusted models by genders (p < 0.05). Our study recommends reducing the consumption of animal meat products, especially processed meat products, and replacing animal oils with vegetable oils as the main supply of daily oils. Furthermore, more prospective and experimental studies are needed to confirm the relationship between dietary patterns and metabolic syndrome.
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Affiliation(s)
- Yuanyuan Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
| | - Yue Dai
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China; (T.T.); (J.Z.); (W.X.)
| | - Ting Tian
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China; (T.T.); (J.Z.); (W.X.)
| | - Jingxian Zhang
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China; (T.T.); (J.Z.); (W.X.)
| | - Wei Xie
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China; (T.T.); (J.Z.); (W.X.)
| | - Da Pan
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
| | - Dengfeng Xu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
| | - Yifei Lu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
| | - Shaokang Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
| | - Hui Xia
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China; (Y.W.); (Y.D.); (D.P.); (D.X.); (Y.L.); (S.W.); (H.X.)
- Correspondence: ; Tel./Fax: +86-25-83272567
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Li JL, Tang JX, Wu JY, Yang MM, Liang C, Zhang MH, Li YS, Wang GX, Zhou HY, Zhu GD, Cao J. [Surveillance of Culex mosquitoes in Jiangsu Province from 2018 to 2019]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 33:510-512. [PMID: 34791850 DOI: 10.16250/j.32.1374.2020308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the distribution and density of Culex mosquito populations and the resistance of Culex pipiens pallens to insecticides in Jiangsu Province in 2018 and 2019. METHODS During the period from June to October in 2018 and 2019, six counties (districts, cities) were sampled in southern, northern and central Jiangsu Province as surveillance sites. The density of Culex mosquitoes was measured overnight using the light trapping technique. In addition, Culex pipiens pallens mosquitoes were collected from Hai'an of Nantong City and Yandu District of Yancheng City, central Jiangsu Province, and the sensitivity of female first filial generations to dichlorodiphenyltrichloroethane (DDT), malation, proposur, beta cypermethrin and deltamethrin was tested using the standard WHO insecticide susceptibility test assay. RESULTS A total of 104 423 Culex mosquitoes were captured in six surveillance sites of Jiangsu Province in 2018 and 2019, and Culex quinquefasciatus (49.11%), Culex pipiens pallens (28.38%), and Culex tritaeniorhynchus (21.04%) were predominant species. The density of Culex mosquitoes started to increase since early June, peaked in July and tended to be low in late October. Culex pipiens pallens mosquitoes captured from Hai'an was susceptible to malation, while those from Yandu District were moderately resistant to malation. Culex pipiens pallens mosquitoes from both Yandu and Hai'an were moderately resistant to proposur, and were resistant to DDT, beta cypermethrin and deltamethrin. CONCLUSIONS Culex quinquefasciatus, Culex pipiens pallens and Culex tritaeniorhynchus are predominant Culex species in Jiangsu Province. Culex pipiens pallens is resistant to DT, beta cypermethrin and deltamethrin in central Jiangsu Province.
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Affiliation(s)
- J L Li
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - J X Tang
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - J Y Wu
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - M M Yang
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - C Liang
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - M H Zhang
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y S Li
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - G X Wang
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - H Y Zhou
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - G D Zhu
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - J Cao
- WHO Collaborating Center for Research and Training on Malaria Elimination; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
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Fu T, Liu Y, Shen J, Shen H. Oral Health Status of Residents in Jiangsu Province, China: An Epidemiologic Survey. Int Dent J 2021; 72:519-528. [PMID: 34657734 PMCID: PMC9381386 DOI: 10.1016/j.identj.2021.08.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 07/29/2021] [Accepted: 08/05/2021] [Indexed: 11/26/2022] Open
Abstract
Introduction This study was conducted to characterise the oral health conditions of residents in Jiangsu Province, China. Methods In this descriptive study, 5 groups of participants were selected by a multistage stratified equal capacity random sampling, including 3- to 5-year-olds, 12- to 15-year-olds, 35- to 44-year-olds, 55- to 64-year-olds, and 65- to 74-year-olds. The data were collected by using the fifth edition of Oral Health Surveys-Basic Methods recommended by the World Health Organization (WHO). Results In these 5 groups, the mean DMFT/dmft of coronal caries were 3.07, 0.69, 4.03, 7.15, and 11.97, respectively, resulting in prevalence rates of 59.69%, 34.98%, 52.05%, 56.86%, and 72.19%, respectively. However, the filling rates were low in all age groups (1.88%, 17.53%, 29.88%, 16.13%, and 19.36%, respectively). Only 3.58% of the 12-year-old participants had good pit and fissure sealants. The adults include three groups, 35- to 44-year-olds, 55- to 64-year-olds, and 65- to 74-year-olds, and the prevalence rates of clinical attachment loss (CAL ≥4 mm) were 32.19%, 76.47%, and 85.43%, respectively. The proportions of adult groups with implant dentures, fixed dentures, removable partial dentures, complete dentures, and substandard dentures were 0%, 26.44%, 11.11%, 0.67%, and 4.89%, respectively. Additionally, 49.64% of adults had missing teeth that were not replaced. Conclusions Dental caries and periodontal disease were frequent and common in Jiangsu, China. But only a few of the residents sought treatment. Oral diseases continued to be a major problem for local residents.
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Affiliation(s)
- Tingting Fu
- Department of Pediatric and Preventive Dentistry, Affiliated Hospital of Stomatology, Nanjing Medical University, Jiangsu Key Laboratory of Oral Diseases, Nanjing, China
| | - Yiran Liu
- Department of Pediatric and Preventive Dentistry, Affiliated Hospital of Stomatology, Nanjing Medical University, Jiangsu Key Laboratory of Oral Diseases, Nanjing, China
| | - Jiaping Shen
- Department of Pediatric and Preventive Dentistry, Affiliated Hospital of Stomatology, Nanjing Medical University, Jiangsu Key Laboratory of Oral Diseases, Nanjing, China.
| | - Hong Shen
- Department of Pediatric and Preventive Dentistry, Affiliated Hospital of Stomatology, Nanjing Medical University, Jiangsu Key Laboratory of Oral Diseases, Nanjing, China.
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Yang B, Liu H, Xu QW, Sun YF, Xu S, Zhang H, Tang JX, Zhu GD, Liu YB, Cao J, Cheng Y. Genetic Diversity Analysis of Surface-Related Antigen (SRA) in Plasmodium falciparum Imported From Africa to China. Front Genet 2021; 12:688606. [PMID: 34421996 PMCID: PMC8378275 DOI: 10.3389/fgene.2021.688606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/01/2021] [Indexed: 11/13/2022] Open
Abstract
Plasmodium falciparum surface-related antigen (SRA) is located on the surfaces of gametocyte and merozoite and has the structural and functional characteristics of potential targets for multistage vaccine development. However, little information is available regarding the genetic polymorphism of pfsra. To determine the extent of genetic variation about P. falciparum by characterizing the sra sequence, 74 P. falciparum samples were collected from migrant workers who returned to China from 12 countries of Africa between 2015 and 2019. The full length of the sra gene was amplified and sequenced. The average pairwise nucleotide diversities (π) of P. falciparum sra gene was 0.00132, and the haplotype diversity (Hd) was 0.770. The average number of nucleotide differences (k) for pfsra was 3.049. The ratio of non-synonymous (dN) to synonymous (dS) substitutions across sites (dN/dS) was 1.365. Amino acid substitutions of P. falciparum SRA could be categorized into 35 unique amino acid variants. Neutrality tests showed that the polymorphism of PfSRA was maintained by positive diversifying selection, which indicated its role as a potential target of protective immune responses and a vaccine candidate. Overall, the ability of the N-terminal of PfSRA antibodies to evoke inhibition of merozoite invasion of erythrocytes and conserved amino acid at low genetic diversity suggest that the N-terminal of PfSRA could be evaluated as a vaccine candidate against P. falciparum infection.
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Affiliation(s)
- Bo Yang
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Hong Liu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qin-Wen Xu
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Yi-Fan Sun
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Sui Xu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, China
| | - Hao Zhang
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Jian-Xia Tang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, China
| | - Guo-Ding Zhu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, China
| | - Yao-Bao Liu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, China
| | - Jun Cao
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, China
| | - Yang Cheng
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
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25
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Tong DS, Tang XS, Zhang Y, Hou R, Zang CZ, Guan XJ, Xu XY, Liang YS. [Prevalence of Spirometra mansoni infections in hosts in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 33:636-638. [PMID: 35128897 DOI: 10.16250/j.32.1374.2020212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To investigate the prevalence of Spirometra mansoni infections in hosts in Jiangsu Province, so as to provide the scientific basis for the management of sparganosis mansoni. METHODS From 2018 to 2019, nine counties (cities, districts) were randomly selected from Jiangsu Province as the survey sites, and 100 healthy individuals were randomly selected to perform the serological test of S. mansoni infections and the detection of S. mansoni eggs. The procercoids were detected in the intermediate host Cyclops, and the S. mansoni eggs were identified in the stool samples of the definitive hosts cats and dogs. RESULTS The prevalence of S. mansoni human infections was 0 (0/900) in the 9 survey sites of Jiangsu Province, and the sero-prevalence of the specific IgG antibody against S. mansoni was 1.22% (11/900). The positive rate of procercoids was 0.33% (3/900) in Cyclops. In addition, the S. mansoni egg-positive rate was 1.48% (2/135) in cats and dogs. CONCLUSIONS Sparganosis mansoni is prevalent in Jiangsu Province. Health education pertaining to the damages of sparganosis mansoni and the route of S. mansoni infections should be improved.
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Affiliation(s)
- D S Tong
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - X S Tang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - Y Zhang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - R Hou
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
| | - C Z Zang
- Sihong County Center for Diseases Control and Prevention, Suqian City, Jiangsu Province, China
| | - X J Guan
- Hongze District Center for Diseases Control and Prevention, Huai'an City, Jiangsu Province, China
| | - X Y Xu
- Jingjiang Municipal People's Hospital, Jiangsu Province, China
| | - Y S Liang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
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Li JL, Zhou HY, Tang JX, Zhu GD, Cao J. [Strategies and studies of malaria vector control in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:459-463. [PMID: 33185055 DOI: 10.16250/j.32.1374.2020174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Malaria was one of the major infectious diseases in Jiangsu Province, where Anopheles sinensis and An. anthropophagus are main vectors for malaria transmission. Following the concerted efforts for decades, the goal of malaria elimination was achieved in Jiangsu Province in 2019, and the vector control strategy has played a vital role during the progress towards malaria elimination in Jiangsu Province. Hereby, we review the historical distribution and ecological features of An. sinensis and An. anthropophagus and describe vector control strategies at different stages of malaria control in Jiangsu Province. In addition, the advances in the research of vector biology and control in Jiangsu Province are discussed, including vector identification, strain colonization, susceptibility to malaria parasites and insecticide resistance.
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Affiliation(s)
- J L Li
- Jiangsu Institute of Parasitic Diseases, WHO Collaborating Center for Research and Training on Malaria Elimination, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - H Y Zhou
- Jiangsu Institute of Parasitic Diseases, WHO Collaborating Center for Research and Training on Malaria Elimination, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - J X Tang
- Jiangsu Institute of Parasitic Diseases, WHO Collaborating Center for Research and Training on Malaria Elimination, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - G D Zhu
- Jiangsu Institute of Parasitic Diseases, WHO Collaborating Center for Research and Training on Malaria Elimination, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - J Cao
- Jiangsu Institute of Parasitic Diseases, WHO Collaborating Center for Research and Training on Malaria Elimination, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
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Pan L, Li N, Xue J, Shi L, Li W, Huang YX, Bian HJ. [Role of institutional cultural building in the schistosomiasis control program of Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:526-528. [PMID: 33185067 DOI: 10.16250/j.32.1374.2020159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Jiangsu Province was once one of the provinces that are hyperendemic for schistosomiasis in China. Following the concerted efforts for nearly 70 years, the transmission of schistosomiasis was interrupted in the province in 2019, which is the first province to achieve the national criteria of interruption of schistosomiasis transmission among the 5 provinces locating in the marshland and lake regions. In addition to political, economic and scientific and technical factors that greatly contribute to the huge achievements from schistosomiasis control in Jiangsu Province, the spiritual implication of Jiangsu schistosomiasis control culture that is mainly characterized by dedication, rigorousness, truth-seeking and innovation play a vital role in the schistosomiasis control program of Jiangsu Province, which encourages generations of schistosomiasis control professionals working in Jiangsu Province to fight against the "God of plague".
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Affiliation(s)
- L Pan
- Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - N Li
- Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - J Xue
- Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - L Shi
- Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - W Li
- Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y X Huang
- Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - H J Bian
- Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
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Wang WM, Cao YY, Yang MM, Gu YP, Xu S, Zhou HY, Zhu GD. [Epidemic situation of malaria in Jiangsu Province in 2019]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 33:411-413. [PMID: 34505450 DOI: 10.16250/j.32.1374.2020221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To analyze the epidemic situation of malaria in Jiangsu Province in 2019, so as to provide the scientific basis for the development of the strategy for the prevention of re-introduction of imported malaria. METHODS The malaria case report information, epidemiological case investigation information, epidemic foci investigation and management report in Jiangsu Province in 2019 were collected, and all epidemiological data were descriptively analyzed. RESULTS A total of 244 malaria cases were reported in Jiangsu Province in 2019, and all cases were laboratory-confirmed overseas imported cases, including 4 cases with vivax malaria, 206 cases with falciparum malaria, 12 cases with malariae malaria and 22 cases with ovale malaria. In 2019, there were 12 malaria cases progressing into severe cases in Jiangsu Province, with one death. Nanjing, Nantong, Lianyungang, Taizhou and Changzhou cities contributed the largest number of malaria cases in 2019, with the number of malaria cases accounting for 59.84% of total cases in Jiangsu Province. The infections occurred in Papua New Guinea (2 cases), Pakistan (1 case) and 27 African countries (241 cases), including Angola, the Democratic Republic of the Congo, Nigeria, Equatorial Guinea, Cote d'Ivoire and so on. There were 77 cases (31.55%) with a visit to doctor on the day of onset, and 146 cases (59.84%) within 1 to 3 days after onset. In addition, there were 149 cases (61.06%) with definitive diagnosis at the first visit and 77 cases (31.55%) diagnosed within 1 to 3 days after the visit, and the mean duration from the visit to definitive diagnosis was (0.80 ± 1.59) d, which significantly shortened as compared to that (1.34 d ± 2.59 d) in 2018 (U = 2.53, P < 0.05). CONCLUSIONS Intensifying the surveillance and management of imported malaria and improving the diagnostic capability of imported malaria and the treatment of severe malaria cases are required to consolidate the achievements of malaria elimination in Jiangsu Province.
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Affiliation(s)
- W M Wang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y Y Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - M M Yang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y P Gu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - S Xu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - H Y Zhou
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - G D Zhu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
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Mao FZ, Xu XZ, Jin XL, Liu JF, Ni BX, Dai Y, Cao J. [Epidemic trend and control progress of soil-transmitted nematodiasis in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:453-458. [PMID: 33185054 DOI: 10.16250/j.32.1374.2020141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Soil-transmitted nematodiasis was once widely prevalent in Jiangsu Province, which seriously threatened human health and hindered socioeconomic development. The control efforts over decades resulted in a remarkable decline in the prevalence of soil-transmitted nematode human infections in Jiangsu Province, with a reduction from 59.32% in 1989 to 0.12% in 2019, and the human prevalence remains at < 0.5% since 2013. Since 1987, an integrated strategy has been adopted for the control of soil-transmitted nematodiasis in Jiangsu Province; however, the core interventions varies at different stages, which mainly include deworming, water and sanitation service improvement, health education, and monitoring and assessment. The criteria of effective soil-transmitted nematodiasis control had been achieved in all epidemic counties (districts) of Jiangsu Province by 2019. Further actions to strengthen health education and monitoring and implement precision control measures are required to consolidate the achievements of soil-transmitted nematodiasis control and eliminate the harm of soil-transmitted nematodiasis to humans. This review summarizes the epidemiology, control progress and evolution of control strategy of soil-transmitted nematodiasis in Jiangsu Province.
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Affiliation(s)
- F Z Mao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases; Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - X Z Xu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases; Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - X L Jin
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases; Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - J F Liu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases; Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - B X Ni
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases; Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - Y Dai
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases; Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - J Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology; Jiangsu Institute of Parasitic Diseases; Public Health Research Center, Jiangnan University, Wuxi 214064, China
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Mao FZ, Sun BC, Ni BX, Zhang XY, Wu XM, Ding X, Zhang Q, Xu XZ, Jin XL, Dai Y, Cao J. [Investigation on the risk of of Anisakis infection among high - risk populations along the coastal areas of Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:282-289. [PMID: 32468791 DOI: 10.16250/j.32.1374.2019306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the risk of Anisakis infections among high-risk populations along the coastal areas of Jiangsu Province, so as to develop the strategy for the prevention and control of anisakiasis in the province. METHODS Three counties along the coastal areas of Jiangsu Province were selected as the study sites in 2018, including Rudong County in Nantong City, Haizhou District in Lianyungang City and Dongtai City in Yancheng City. The knowledge, attitude and practice (KAP) of anisakiasis prevention and control, and the prevalence of serum specific IgG antibody against Anisakis were investigated among high-risk populations among these three study sites, including fishermen, fish seller and people who liked eating fresh and live marine fish. Factors affecting the prevalence of the specific IgG antibody against Anisakis were identified using a multiple logistic regression model. In addition, Anisakis larvae infections were detected in fresh and live marine fish samples collected from local markets, and the prevalence and intensity of Anisakis infections were estimated. RESULTS A total of 625 high-risk populations were investigated, including 349 men (55.8%). Only 13.0% of the subjects heard about anisakiasis, and a low awareness rate of anisakiasis prevention and control knowledge was seen among these three types of high-risk populations. There were 21.6% of the subjects eating raw or half-cooked marine fish, 5.8% eating undercooked marine fish, 3.2% presenting vomiting, nausea and diarrhea after eating marine fish, 5.1% developing systemic allergic symptoms, and 65.6% using the same chopping board for raw and cooked food. The sero-prevalence of the anti-Anisakis IgG antibody was 7.0% among the study subjects. Multiple logistic regression analysis identified education level [OR = 0.687, 95% CI (0.478, 0.987)] and development of systemic allergic symptoms [OR = 4.641, 95% CI(1.411, 15.268)]as factors affecting the positive anti-Anisakis IgG antibody among the study subjects. Among 494 fresh and live marine fish detected, the prevalence and intensity of Anisakis larvae infection was 64.0% and 8.1 larvae per fish, with high prevalence seen in Trichiurus haumela and Pneumatophorus japonicas. CONCLUSIONS The awareness of anisakiasis prevention and control knowledge is low among the high-risk populations living along the coastal areas of Jiangsu Province, and there are high-risk behaviors, such as eating raw or half-cooked food, using the same chopping board for raw and cooked food. In addition, the prevalence of Anisakis infections is high in the marine fish in these areas. Therefore, the health education and health promotion for anisakiasis prevention and control should be intensified.
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Affiliation(s)
- F Z Mao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - B C Sun
- Yancheng Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - B X Ni
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - X Y Zhang
- Jiangsu Vocational College of Medicine, China
| | - X M Wu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - X Ding
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - Q Zhang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - X Z Xu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - X L Jin
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - Y Dai
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
| | - J Cao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center, Jiangnan University, Wuxi 214064, China
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Jiang TT, Shi L, Li W, Zhang JF, He J, Wang XY, Liu L, Feng Y, Wang L, Xie YQ, Wang ZJ, Zhu T, Jiang T, Sun JP, Dai W, Xu DC, Yang K. [Spatio-temporal distribution of Oncomelania hupensis snails along the Danyang section of the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:10-14. [PMID: 32185922 DOI: 10.16250/j.32.1374.2019307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To explore the spatio-temporal characteristics of Oncomelania hupensis snails along the Danyang section of the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal, so as to provide scientific evidence for the dynamic assessment of the risk of snail spread in this region. METHODS O. hupensis snail status was collected in the plain regions with waterway networks in the study area from 2012 to 2017. The spatio-temporal variations of snail distribution were investigated along the Danyang section of the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal using buffer zone analysis, spatial autocorrelation, hotspot analysis and standard deviational ellipse with the geographical information system (GIS) tools. RESULTS The number of snail habitats showed a tendency towards a rise in the study area from 2012 to 2017, and snail habitats were predominantly distributed in the 1 000 m long buffer zone of the Danyang-Jintan-Liyang Canal, notably along the Jiuqu River at the junction between the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal. The distribution of snail habitats appeared spatial autocorrelations in 2014, 2016 and 2017, and the hotspot areas were mainly identified at the junction between the Danyang-Jintan-Liyang Canal and the Beijing-Hangzhou Grand Canal. In addition, the overall distribution of snail habitats was located in the northeastern-southwestern part of the study aera, and gradually shifted to the southern and northern parts with the time. CONCLUSIONS The spatial distribution of O. hupensis snails is complex along the Danyang section of the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal, and there is a risk of snail spread from the upper reaches to the lower reaches, where snail control needs to be intensified.
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Affiliation(s)
- T T Jiang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - L Shi
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China.,Co-first author
| | - W Li
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - J F Zhang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - J He
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - X Y Wang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - L Liu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - Y Feng
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - L Wang
- Zhenjiang Center for Disease Control and Prevention, Jiangsu Province, China
| | - Y Q Xie
- Chang-zhou Center for Disease Control and Prevention, Jiangsu Province, China
| | - Z J Wang
- Danyang Center for Disease Control and Prevention, Jiangsu Province, China
| | - T Zhu
- Danyang Center for Disease Control and Prevention, Jiangsu Province, China
| | - T Jiang
- Danyang Center for Disease Control and Prevention, Jiangsu Province, China
| | - J P Sun
- Jintan Center for Disease Control and Prevention, Changzhou City, Jiangsu Province, China
| | - W Dai
- Jintan Center for Disease Control and Prevention, Changzhou City, Jiangsu Province, China
| | - D C Xu
- Jintan Center for Disease Control and Prevention, Changzhou City, Jiangsu Province, China
| | - K Yang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
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32
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Zhou XN. [A high-quality driver to accelerate the progress towards schistosomiasis elimination by science and technology-led innovation in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 31:573-575. [PMID: 32064797 DOI: 10.16250/j.32.1374.2019297] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Schistosomiasis was once hyper-endemic in Jiangsu Province. During the past seven decades, the professionals working in schistosomiasis control from Jiangsu Province insisted on scientific and precision control all the time, created a series of replicable and generalizable "Jiangsu experiences". These practices have developed a number of tools and approaches that have been employed in schistosomiasis control programs in main endemic foci of China. More importantly, the successful experiences from national schistosomiasis control programs of China have been firstly transferred to Africa by professionals from Jiangsu Province, and remarkable achievements have been obtained for the control of schistosomiasis haematobia in Zanzibar.
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Affiliation(s)
- X N Zhou
- National Institute of Parasitic Diseases, Chinese Center for Diaeaae Control and Prevention; WHO Collaborating Centre for Tropical Diseases; Chinese Center for Tropical Diseases Research; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
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Wang WM, Cao YY, Yang MM, Gu YP, Xu S, Zhou HY, Zhu GD, Cao J. [Epidemic situation of malaria in Jiangsu Province in 2018]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 31:649-651. [PMID: 32064812 DOI: 10.16250/j.32.1374.2019249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To analyze the epidemic situation of malaria in Jiangsu Province in 2018, so as to provide scientific evidence for formulating post-elimination malaria surveillance schemes and technical measures in Jiangsu Province. METHODS The malaria case report cards, epidemiological individual investigation forms of malaria cases and foci data were collected from Jiangsu Province in 2018, and the epidemic situation of malaria was descriptively analyzed. RESULTS A total of 243 malaria cases were reported in Jiangsu Province in 2018, which increased by 1.67% in relative to in 2017 (239 cases), and these cases included 171 cases with falciparum malaria, 14 cases with vivax malaria, 15 cases with quartan malaria, 42 cases with ovale malaria and a case with mixed infection of P. vivax and P. ovale. All cases were overseas imported, and no local secondary cases were found. The malaria cases were predominantly workers (76.54%). Nantong City (48 cases), Yangzhou City (33 cases) and Taizhou City (22 cases) were the most 3 cities with the largest number of malaria cases across Jiangsu Province. The malaria infections predominantly occurred in African areas (96.30%), and the other 9 cases had infections in Asia (8 cases) and Central America (1 case). There were 125 cases (51.44%) and 91 cases (37.45%) with definitive diagnosis at the day of admission and within 1 to 3 days post-admission, respectively. The percentages of definitive diagnosis at initial diagnosis were 48.27%, 88.76% and 97.30% at township-, county- and city-level medical institutions, respectively, and the percentage of definitive diagnosis at initial diagnosis was significantly lower in township-level medical institutions than in county- (χ2 = 21.47, P < 0.01) and city-level medical institutions (χ2 = 32.86, P < 0.01). CONCLUSIONS There are no local malaria cases in Jiangsu Province; however, the number of overseas imported malaria cases remains high in China. In the future, improving the post-elimination malaria surveillance system, enhancing the awareness of malaria prevention and control knowledge among high-risk populations, increasing the diagnostic capability of malaria in medical institutions, and improving the management of imported malaria cases should be performed to consolidate the achievements of malaria elimination.
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Affiliation(s)
- W M Wang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y Y Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - M M Yang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y P Gu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - S Xu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - H Y Zhou
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - G D Zhu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - J Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
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Li W, Zhang JF, Wu F, Shi L, Xiong CR, Yao YY, Zhao S, Liu L, Feng Y, Hang DR, Hong QB, Huang YX, Liang YS, Ge J, Wu HH, Yang HT, Yang K. [Progress of interruption of schistosomiasis transmission in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 31:583-590. [PMID: 32064799 DOI: 10.16250/j.32.1374.2019184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Schistosomiasis was once heavily endemic in Jiangsu Province. Following the control efforts for several decades, schistosomiasis was almost eradicated in all endemic counties in Jiangsu Province in 1980, and transmission control was achieved in the province in 2011. According to the principle of "implementing the control measures with adaptation to local circumstances and guiding the control programs with classified interventions", an integrated strategy with emphasis on the management of both infectious sources and snails has been recently employed for schitsosomiasis control in Jiangsu Province. In addition, a sensitive and highly effective surveillance system has been built and the application of novel techniques and information construction has been intensified to effectively interrupt the transmission of schistosomiasis in the Province. Transmission interruption of schistosomiasis was achieved in all endemic counties in Jiangsu Province. The paper summarizes the endemic situation of schistosomiasis, progress of schistosomiasis control, and major schistosomiasis control measures implemented during the stage of transmission interruption in Jiangsu Province.
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Affiliation(s)
- W Li
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - J F Zhang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - F Wu
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - L Shi
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - C R Xiong
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - Y Y Yao
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - S Zhao
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - L Liu
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - Y Feng
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - D R Hang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - Q B Hong
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - Y X Huang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - Y S Liang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - J Ge
- Office of the Leading Group for Schistosomiasis and other Endemic Diseases Control, Jiangsu Provincial People's Government, China
| | - H H Wu
- Office of the Leading Group for Schistosomiasis and other Endemic Diseases Control, Jiangsu Provincial People's Government, China
| | - H T Yang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - K Yang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
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He J, Zhang JF, Wang XY, Liu L, Shi L, Li W, Yang K. [Status of grass-roots schistosomiasis control professionals in Jiangsu Province: a cross-sectional study]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 31:665-668. [PMID: 32064817 DOI: 10.16250/j.32.1374.2019181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To understand the status of grass-roots schistosomiasis control professionals in Jiangsu Province, so as to provide scientific evidence for the rational resource allocation and the improvement of capability building. METHODS A cross-sectional survey was conducted by telephone interview and e-mail among city- and county-level disease prevention and control institutions that undertook schistosomiasis control activities in Jiangsu Province, and the age, educational background, major, duration of working, professional title and professional capability were descriptively analyzed. RESULTS There were totally 274 fulltime schistosomiasis control professionals working at grass-roots institutions in Jiangsu Province, with a mean age of (43.19 ± 9.47) years. The least professionals were below 30 years of age (12.77%, 35/274), and the most professionals were aged from 41 to 50 years (36.86%, 101/274). Among the 274 professionals, 43.07% (118/274) had duration of working of less than 10 years, 62.04% (170/274) had a bachelor degree, and 40.88% (112/274) had the medium-level professional title. CONCLUSIONS A schistosomiasis control team with a relatively high academic degree and professional title has been built at the grassroot level in Jiangsu Province. However, capability building remains to be improved through the participation of more young professionals and professional training with adaptation to local conditions.
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Affiliation(s)
- J He
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, College of Medicine, Jiangnan University, China
| | - J F Zhang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - X Y Wang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - L Liu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - L Shi
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - W Li
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - K Yang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, College of Medicine, Jiangnan University, China
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Cheng Y, Nathanail CP, Ja'afaru SW. Generic assessment criteria for human health risk management of agricultural land scenario in Jiangsu Province, China. Sci Total Environ 2019; 697:134071. [PMID: 32380600 DOI: 10.1016/j.scitotenv.2019.134071] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 08/12/2019] [Accepted: 08/22/2019] [Indexed: 06/11/2023]
Abstract
The widespread of agricultural soil pollution in China is posing great risks to food safety and human health. Lack of human health-based generic assessment criteria (GAC) for Chinese agricultural land makes it impossible to efficiently screen and assess the risks unless site-specific risk assessments being carried out, which are both time-consuming and costly. This paper has thus derived the first set human health-based generic assessment criteria (GAC) for 13 substances of concern (including isomers) using the CLEA model for agricultural land scenario in Jiangsu province of China. As there is no authoritative human health risk assessment model in China yet, this paper has determined and demonstrated the applicability of the CLEA model to Chinese agricultural land exposure scenarios. The derived GAC are generally less stringent than the current two Chinese standards (i.e. GB 15618-2018, GB36600-2018) for most substances except for five substances (including cadmium, nickel, alpha-HCH, beta-HCH and gamma-HCH) for which the oral background intake accounts for 50% of the Total Daily Intake. This indicates that the two Chinese soil quality standards maybe over conservative, and oral background intake (i.e. MDIoral) can be a critical parameter when deriving regional GAC for Chinese agricultural land scenarios. Since there is a notable regional difference in MDIoral for some of the substances of concern, as well as in the vegetable consumption rates and vegetable varieties consumed, it is considered necessary to derive GAC for other provinces of China for agricultural land scenario, to further examine the sensitivity of MDIoral on GAC. In addition, the 13 substances of concern in this paper are some of the most prevalent contaminants in agricultural soils in China, but GAC for some emerging new contaminants, such as thallium, vanadium, should also be derived in further research.
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Affiliation(s)
- Yuanyuan Cheng
- School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, China.
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Zhang JF, Li W, Feng Y, Yao YY, Wang XY, Xiong CR, Liu L, Yang K. [Endemic situation of schistosomiasis in national surveillance sites of Jiangsu Province from 2011 to 2018]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:599-602. [PMID: 32064802 DOI: 10.16250/j.32.1374.2019164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To analyze and investigate the changing trend of the endemic situation of schistosomiasis in national surveillance sites of Jiangsu Province from 2011 to 2018, so as to provide scientific evidence for formulating strategies for schistosomiasis control. METHODS From 2011 to 2014, the national schistosomiasis surveillance sites were set in seven schistosomiasis endemic counties (cities, districts) across Jiangsu Province as according to the National Schistosomiasis Surveillance Scheme (2011 version), and from 2015 to 2018, the national surveillance sites were assigned in all 64 counties (cities, districts) endemic for schistosomiasis in Jiangsu Province according to the National Schistosomiasis Surveillance Scheme (2014 version). Schistosoma japonicum infections in local populations, mobile populations and livestock, and snail status were monitored in the national schistosomiasis surveillance sites of Jiangsu Province from 2011 to 2018, and the monitoring data were statistically analyzed. RESULTS The sero-prevalence of S. japonicum infections was 1.50% to 4.61% among local populations in the national schistosomiasis surveillance sites of Jiangsu Province from 2011 to 2018, and a higher sero-prevalence was seen in men than in women, with the sero-positives predominantly detected in local populations at ages of over 50 years. The positive rate of stool examinations was 0 to 0.14% among sero-positive local populations in the national schistosomiasis surveillance sites of Jiangsu Province from 2011 to 2018, and no acute case was found in local populations during the study period. The sero-prevalence of S. japonicum infections was 0.46% to 15.97% among mobile populations in the national schistosomiasis surveillance sites of Jiangsu Province from 2011 to 2018, and no egg-positives were identified. A total of 1 453 livestock were tested in the national schistosomiasis surveillance sites of Jiangsu Province from 2011 to 2018, and no S. japonicum infections were detected. During the period from 2011 through 2018, snail survey was conducted in an area of 216 million m2 in the national schistosomiasis surveillance sites of Jiangsu Province, and 1 291.01 hm2 snail habitats were identified, with snail densities ranging from 0.01 to 0.47 snails/0.1 m2; however, no S. japonicum infections were identified in snails. CONCLUSIONS The overall endemic situation of schistosomiasis appears a tendency towards a decline in Jiangsu Province, and S. japonicum infection remains at a low level in both humans and livestock. No S. japonicum infection has been identified in local populations in Jiangsu Province since 2012. In the future, monitoring and management of imported sources of S. japonicum infections should be intensified in Jiangsu Province, and the capability building of passive surveillance of schistosomiasis should be improved in sentinel hospitals in national schistosomiasis surveillance sites of Jiangsu Province. In addition, the examination of schistosomiasis should be strengthened in mobile populations in Jiangsu Province, a sensitive and effective surveillance-response system for schistosomiasis is urgently needed.
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Affiliation(s)
- J F Zhang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - W Li
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - Y Feng
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - Y Y Yao
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - X Y Wang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - C R Xiong
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - L Liu
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
| | - K Yang
- Jiangsu Institute of Parasitic Diseases, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Wuxi 214064, China
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Hou XH, Yu XN, Shen L, Zhao RD, Wang GZ, Zhang YX. [Establishment and Characteristics of an Artificial Ammonia Emissions Inventory in Jiangsu Province from 2013 to 2017]. Huan Jing Ke Xue 2019; 40:4862-4869. [PMID: 31854552 DOI: 10.13227/j.hjkx.201904129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
According to activity level data of various ammonia emission sources in Jiangsu Province, using a reasonable inventory calculation method and emission factor, an ammonia emission inventory in Jiangsu Province from 2013 to 2017 was established, and the trend of anthropogenic ammonia emissions over these years was analyzed. The distribution characteristics of anthropogenic ammonia emissions and emission intensity in Jiangsu Province were analyzed using ArcGIS software. The results showed that the ammonia emissions in Jiangsu Province decreased from 624.84 kt in 2013 to 562.47 kt in 2017 with an average annual rate of decline of approximately 2.6%. Agricultural has always been the most important source of ammonia emissions in Jiangsu Province and accounted for 82.4% of the total ammonia emissions in 2017. Laying hens are the largest source of ammonia emissions from livestock and poultry sources, accounting for 49.3% of the ammonia emissions from livestock and poultry. The average ammonia emission intensity in Jiangsu Province was 5.3 t·km-2 in 2017. Yancheng and Xuzhou are two cities with the largest anthropogenic ammonia emissions and emission intensity in Jiangsu Province. Zhenjiang City has the lowest ammonia emission and emission intensity.
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Affiliation(s)
- Xin-Hong Hou
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Xing-Na Yu
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Li Shen
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Rui-Dong Zhao
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Guo-Zhen Wang
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Yu-Xiu Zhang
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Hang DR, Zhang JF, Li W, Huang YX, Zhao S, Gao Q, Tang F, Xiong CR, Yao YY, Yang K. [Establishment and operation of schistosomiasis diagnostic reference laboratory in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:669-672. [PMID: 32064818 DOI: 10.16250/j.32.1374.2019157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To construct the schistosomiasis diagnostic reference laboratory in Jiangsu Province, and to examine the role and diagnostic efficiency of the reference laboratory. METHODS A schistosomiasis diagnostic reference laboratory was built in Jiangsu Province according to the requirements of the construction of the national schistosomiasis diagnostic reference laboratory in China. Inter-laboratory comparisons were conducted and the diagnostic capability of grassroots laboratories was evaluated in Jiangsu Province. RESULTS The organization structure, environmental conditions, administration and quality systems of the schistosomiasis diagnostic reference laboratory in Jiangsu Province all met the requirements for construction of the national schistosomiasis diagnostic reference laboratory in China, and the schistosomiasis diagnostic reference laboratory in Jiangsu Province was issued a certificate of a province-level schistosomiasis diagnostic reference laboratory. During the 6 inter-laboratory comparisons performed by national schistosomiasis diagnostic reference centers of China, the qualitative and quantitative results of each detection item were all in agreement with the reference samples (Kappa = 1), and the diagnostic capability was identified excellent. The results of indirect hemagglutination assay of 426 serum samples from 4 grassroots laboratories were re-examined, and the mean coincidence rate was 94.13% (range, 92.08% to 96.25%) with the grassroots laboratories, with a mean Kappa value of 0.85 (range, 0.83 to 0.86) and a mean missing rate of 10.19% (range, 0 to 17.65%). CONCLUSIONS The schistosomiasis diagnostic reference laboratory has been successfully established and effectively operated in Jiangsu Province, which plays an active role in improving the capability of schistosomiasis diagnostic equality in the province.
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Affiliation(s)
- D R Hang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - J F Zhang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - W Li
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y X Huang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - S Zhao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Q Gao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - F Tang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - C R Xiong
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Y Y Yao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - K Yang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
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Qian-Wen S, Jun G, Ling-E S, Jing Z, Feng G, Hai-Tao W. [Imported schistosomiasis haematobia in Suzhou City: a case report]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:453-455. [PMID: 31612689 DOI: 10.16250/j.32.1374.2019077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To report the diagnosis and treatment of an imported case of schistosomiasis haematobia. METHODS The patient's medical records were collected, and the clinical features, laboratory diagnosis, epidemiological survey, diagnosis and treatment were analyzed. RESULTS The patient had arrived to Sudan and Egypt for many times and had a history of contact with the infested water. After returning to China, the patient reported a gross hematuria with unknown causes. Cystoscopy showed neoplasms in the bladder, and pathologic examinations showed chronic granulomatous inflammation with infiltration of plenty of plasma cells, and parasite eggs. Serological test showed positive for the dipstick dye immunoassay, and the microscopic examination of urine sediment revealed Schistosoma haematobium eggs. Following praziquantel treatment for a month, S. haematobium eggs were still detected in the urine. The case was treated with praziquantel again and cured without adverse reactions. CONCLUSIONS Health education should be strengthened among China-aid-African workers to improve the awareness of self-protection. In addition, the diagnosis and treatment should be improved in medical professionals to achieve a timely definitive diagnosis.
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Affiliation(s)
- Shi Qian-Wen
- Suzhou Municipal Center for Disease Control and Prevention, Jiangsu Province, Suzhou 215004, China
| | - Gu Jun
- Suzhou Science & Technology Town Hospital, Jiangsu Province, China
| | - Shen Ling-E
- Suzhou Municipal Center for Disease Control and Prevention, Jiangsu Province, Suzhou 215004, China
| | - Zhou Jing
- Suzhou Municipal Center for Disease Control and Prevention, Jiangsu Province, Suzhou 215004, China
| | - Guo Feng
- High-Tech Zone Center for Disease Control and Prevention, Suzhou City, Jiangsu Province, China
| | - Wang Hai-Tao
- Suzhou Municipal Health Commission, Jiangsu Province, China
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Liu L, Yang K, Zhang JF, Wu F, Shi L, Zhao S, He J, Li W. [Spatio-temporal analysis of Oncomelania hupensis along Jiangsu section of the Yangtze River from 2015 to 2017]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:603-606. [PMID: 32064803 DOI: 10.16250/j.32.1374.2018175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the spatio-temporal characteristics of Oncomelania hupensis snails along the Jiangsu section of the Yangtze River, so as to provide evidence for eliminating schistosomiasis and formulating precision control measures in Jiangsu Province. METHODS A total of 75 marshlands were randomly sampled from Nanjing, Zhenjiang and Yangzhou cities along the Jiangsu section of the Yangtze River basin, and the spatio-temporal distribution and changing patterns of O. hupensis snails were investigated using the spatial autocorrelation analysis, kernel density analysis and hotspot analysis during the period from 2015 through 2017. RESULTS There was a spatial autocorrelation in the mean snail density along the Jiangsu section of the Yangtze River basin during the period from 2015 through 2017. The number of living snails and the density of living snails showed an overall decline in Yangzhou City; however, both showed a slight increase in 2016. Kernel density analysis and hotspot analysis showed that the hotspots of living snails were located in the regions neighboring the marshlands at the Yangzhou-Zhenjiang boundary areas along the Jiangsu section of the Yangtze River basin. CONCLUSIONS There is a spatial autocorrelation in the snail distribution with hotspots along the Jiangsu section of the Yangtze River basin, and the surveillance of snails should not be neglected in the marshlands in Jiangsu Province.
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Affiliation(s)
- L Liu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - K Yang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - J F Zhang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - F Wu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - L Shi
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - S Zhao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - J He
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
| | - W Li
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.,Public Health Research Center, Jiangnan University, China
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Wei-Ming W, Hua-Yun Z, Yuan-Yuan C, Ya-Ping G, Sui X, Guo-Ding Z, Jun C. [Epidemiological analysis of malaria prevalence in Jiangsu Province in 2017]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:178-181. [PMID: 31184052 DOI: 10.16250/j.32.1374.2019016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To understand the malaria epidemic situation and characteristics in Jiangsu Province in 2017, so as to provide the evidence for formulating the targeted strategy of malaria elimination. METHODS The data of malaria cases in Jiangsu Province in 2016 were collected from China's Routine Diseases Surveillance Information System (CRDSIS). RESULTS Totally, 239 imported malaria cases were reported in Jiangsu Province in 2017, and the cases decreased by 22.40% compared to 308 cases in 2015. Except 2 malaria case caused by blood transfusion, the rest patients were all imported. Among them, there were 163 falciparum malaria cases, 21 vivax malaria cases, 11 quartan malaria cases, 43 ovale malaria cases, and 1 mixed infection case (Plasmodium falciparum and P. ovale). The numbers of imported cases of Nantong (39 cases, 16.32%), Suzhou (26 cases, 10.88%), Taizhou (25 cases, 10.46%), Huai'an (24 cases, 10.04%), and Lianyungang (22 cases, 9.21%) ranked in the top 5 cities across Jiangsu Province, the malaria cases in the five cities accounted for 56.90% (136/239). The infection source areas of the imported malaria cases included Africa (225 cases), Asia (8 cases), Oceania (2 cases), and South America (2 cases). CONCLUSIONS Jiangsu Province has no local malaria cases for 6 consecutive years. Despite the imported cases in 2017 decreased some-what compared to that in 2016, it is still necessary to strengthen the surveillance of imported malaria cases and improve malaria diagnosis and treatment in the whole province.
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Affiliation(s)
- Wang Wei-Ming
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite and Vector Control, Wuxi 214064, China
| | - Zhou Hua-Yun
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite and Vector Control, Wuxi 214064, China
| | - Cao Yuan-Yuan
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite and Vector Control, Wuxi 214064, China
| | - Gu Ya-Ping
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite and Vector Control, Wuxi 214064, China
| | - Xu Sui
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite and Vector Control, Wuxi 214064, China
| | - Zhu Guo-Ding
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite and Vector Control, Wuxi 214064, China
| | - Cao Jun
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite and Vector Control, Wuxi 214064, China
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Jia-Jie J, Wei-Ming W, Yuan-Yuan C, Guo-Ding Z, Hua-Yun Z, Jia-Yan H, Jun C. [Investigation on malaria rapid diagnostic testing (RDT) - related knowledge, attitude and practice in primary healthcare professionals of Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 30:378-382. [PMID: 30350499 DOI: 10.16250/j.32.1374.2018004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the malaria rapid diagnostic testing (RDT) - related knowledge, attitude, practice (KAP) of primary healthcare professionals in Jiangsu Province and analyze the corresponding influencing factors. METHODS Four cities in Jiangsu Province were selected as the study sites by the typical sampling method to conduct a survey for the RDT related KAP and work satisfaction of primary healthcare professionals, and the multiple logistic regression model was used to explore the relevant influencing factors. RESULTS Totally 1 150 questionnaires were issued and 949 valid questionnaires were collected with the recovery rate of 82.52%. The valid questionnaires included 453 questionnaires from laboratory technicians, 466 from clinicians, and 30 from malaria prevention and control workers. Totally 83.98% of the surveyed professionals had a low mastering level of essential RDT-related knowledge. A total of 52.17% of the surveyed laboratory technicians recognized that the application of RDT technology could effectively improve the current primary-level microscopy work, and the degree of recognition of RDT technological advantage in the laboratory technicians was higher than that in the clinicians. Totally 79.25% of the surveyed laboratory technicians regarded themselves to be capable of conducting the standardized RDT operation, and 84.55% of the surveyed clinicians regarded themselves to be capable of conducting the qualified malaria clinical diagnostic practice. The key influencing factors of RDT-related KAP of primary healthcare professionals included the laboratory technicians' gender, educational level, employer's institutional level, professional title, and working years, and the employer's institutional level of clinicians. CONCLUSIONS The primary healthcare professionals in Jiangsu Province exhibita good acceptability towards RDT technology. However, their essential knowledge on RDT remains to be improved. Therefore, it is necessary to establish a specific training and educational system for primary healthcare professionals to better guarantee the advantageous impact of RDT technology on the consolidation of the malaria elimination work achievements.
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Affiliation(s)
- Jin Jia-Jie
- School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, Shanghai 200032, China
| | - Wang Wei-Ming
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, China
| | - Cao Yuan-Yuan
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, China
| | - Zhu Guo-Ding
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, China
| | - Zhou Hua-Yun
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, China
| | - Huang Jia-Yan
- School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, Shanghai 200032, China
| | - Cao Jun
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, China
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Ju-Lin L, Guo-Ding Z, Hua-Yun Z, Jian-Xia T, Meng-Meng Y, Wei-Ming W, Jun C. [Vector surveillance in Jiangsu Province during the stage of malaria elimination]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 30:390-395. [PMID: 30350501 DOI: 10.16250/j.32.1374.2018158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To analyze the vector surveillance results during the stage of malaria elimination, so as to provide the evidence for assessing the local transmission risk of imported malaria and carrying out the surveillance work after malaria elimination in Jiangsu Province. METHODS From 2011 to 2017, the mosquito population was monitored and human biting rates were calculated by the half overnight human baiting trapping method and overnight lamp trapping method in 7 surveillance sites from June to October. The insecticide resistance level was tested by the force contact method recommended by WHO. RESULTS A total of 5 106 Anopheles mosquitoes were captured by the half over-night human baiting trapping method in the 7 sites from 2011 to 2017, and all the mosquitoes were identified as Anopheles sinensis. The annual human biting rates were 1.075, 0.786, 1.057, 0.787, 0.790, 1.797 and 1.185 mosquitoes/ (human·hour), respectively. Totally 28 186 Anopheles mosquitoes were caught by the overnight lamp trapping method, and all the mosquitoes were An. sinensis. The densities of Anopheles mosquitoes were 57.950, 50.932, 14.800, 4.405, 58.070, 72.406, and 17.145 mosquitoes/ (night·lamp), respectively. In 2012, the resistance indexes of An. sinensis to deltamethrin, DDT and malathion were at R level in Jiangsu Province. CONCLUSIONS The major vector is An. sinensis and no An. anthropophagus is found in Jiangsu Province. An. sinensis has a high level of resistance to deltamethrin, DDT and malathion.
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Affiliation(s)
- Li Ju-Lin
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Zhu Guo-Ding
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Zhou Hua-Yun
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Tang Jian-Xia
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Yang Meng-Meng
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Wang Wei-Ming
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Cao Jun
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
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Hua-Yun Z, Jun C, Guo-Ding Z, Wei-Ming W, Yuan-Yuan C, Ya-Ping G, Ju-Lin L, Jian-Xia T, Yao-Bao L, Sui X, Chao Z, Qi G. [Progress of malaria elimination of Jiangsu Province, China]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 30:364-368. [PMID: 30350496 DOI: 10.16250/j.32.1374.2018165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
There were vivax malaria, falciparum malaria, and malariae malaria epidemic in Jiangsu Province, and vivax malaria was the dominant disease. Anopheles sinensis and An. anthropophagus were malaria-transmitted vectors. Since the founding of People's Republic of China, there have been two major malaria outbreaks in Jiangsu Province, when the highest annual malaria incidence reached up to 24.95%. According to prevention and control principles of "adjusting measures to local conditions, giving different guidance to different categories and highlighting key points", during the epidemic outbreak stage, the largescale malaria prevention and control measures were implemented for all the residents who were target population in Jiangsu malaria-endemic areas. During the basic eradication stage, the targeted prevention and control measures had been carried out according to the different epidemic features to gradually consolidate the achievement of prevention and control in Jiangsu Province. In the malaria elimination stage, Jiangsu Province focused on controlling of the source of infection and malaria surveillance. According to the "1-3-7 targeted elimination" work model, the management of infectious sources and investigation and disposal of foci were carried out for each epidemic focus to block the malaria transmission. By the end of 2017, there had been no indigenous malaria cases for the six consecutive years in Jiangsu Province. All the 13 cities have passed the assessment of malaria elimination of Jiangsu Province. Although Jiangsu Province has achieved the goal of malaria elimination, it is urgent and necessary to maintain and improve malaria surveillance capabilities to prevent malaria reintroduction.
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Affiliation(s)
- Zhou Hua-Yun
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Cao Jun
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Zhu Guo-Ding
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Wang Wei-Ming
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Cao Yuan-Yuan
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Gu Ya-Ping
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Li Ju-Lin
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Tang Jian-Xia
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Liu Yao-Bao
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Xu Sui
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Zhang Chao
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
| | - Gao Qi
- Jiangsu Institute of Parasitic Diseases; Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention; Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, China
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Yuan-Yuan C, Hua-Yun Z, Guo-Ding Z, Wei-Ming W, Jia-Jie J, Wen-Ji Q, Jia-Yan H, Jun C. [Challenges for maintaining achievements of malaria elimination in Jiangsu Province, China]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 30:460-464. [PMID: 30350517 DOI: 10.16250/j.32.1374.2018163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To analyze the situation of malaria elimination, identify the current main challenges and difficulties of maintaining the achievements of malaria elimination, and find out feasible solutions in Jiangsu Province. METHODS Through randomized grouping, the subject discussion and questionnaires were conducted by malaria control staffs from centers for diseases control and prevention of 13 cities of Jiangsu Province and Jiangsu Institute of Parasitic Diseases. The basic characteristics of participants and the effect of the discussion were analyzed through questionnaires. RESULTS Twenty-seven professional participants were randomly divided into 3 groups. Totally 27 questionnaires were released and 24 valid questionnaires were retrieved. Among the 24 participants, 79.1% (19/24) of them were with mid-level and senior professional titles, and 66.7% (16/24) of them had worked for more than 10 years. Before the group discussion, only 16.7% (4/24) of the participants were aware of the current main challenges and difficulties in Jiangsu Province. After the discussion, 87.5% (21/24) of them thought the discussion increased their understanding of the challenges and difficulties. Through the subject discussion, the expert group summarized the current challenges and difficulties as well as the solutions in malaria prevention in Jiangsu Province in 4 aspects, namely the management guarantee of prevention work, diagnosis and treatment of the cases, field epidemiological investigation and others. Finally, a framework about these discussion results was established. CONCLUSIONS During the post-stage of malaria elimination, Jiangsu Province still faced many challenges and difficulties, such as management guarantee, case diagnosis and treatment, epidemiology survey and focus disposals, and malaria surveillance sustainability. The feasible solutions of these challenges may provide examples for other provinces and regions which are undergoing malaria elimination or in post-stage of malaria elimination.
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Affiliation(s)
- Cao Yuan-Yuan
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, WHO Collaborating Center for Research and Training on Malaria Elimination, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Zhou Hua-Yun
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, WHO Collaborating Center for Research and Training on Malaria Elimination, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Zhu Guo-Ding
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, WHO Collaborating Center for Research and Training on Malaria Elimination, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Wang Wei-Ming
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, WHO Collaborating Center for Research and Training on Malaria Elimination, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Jin Jia-Jie
- School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, China
| | - Qian Wen-Ji
- School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, China
| | - Huang Jia-Yan
- School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, National Health Commission, China
| | - Cao Jun
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, WHO Collaborating Center for Research and Training on Malaria Elimination, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
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Lin H, Ji YH, Chen XL, Zhu SW, Sun J, Huang CY, Jiao YJ. [Sero-prevalence of Babesia infection among voluntary blood donors in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:516-518. [PMID: 31713382 DOI: 10.16250/j.32.1374.2017209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the sero-positivity of Babesia infection in voluntary blood donors in Jiangsu region, so as to provide the evidence for transfusion safety. METHODS A total of 950 blood samples were collected from voluntary blood donors in Jiangsu Provincial Blood Center from February to May, 2017, and detected by double antigen sandwich ELISA targeting peptides derived from B. microti-secreted antigen 1 (BmSA1). The positive samples were confirmed by microscopy and nested-PCR to determine parasitemia. The prevalence of anti-BmSA1 was analyzed between/among different genders, ages and occupations of the blood donors. RESULTS Of the 950 blood screened samples, 5 were positive for anti-BmSA1, and the sero-prevalence of Babesia infection was 0.53%. The 5 samples were all negative by microscopy and nested-PCR. There were no gender- (χ2 = 0.01, P =0.92) or age-specific differences (χ2 = 0.11, P = 0.95) in the sero-prevalence of Babesia infection; however, there was an occupation-specific difference detected in the sero-prevalence of Babesia infection (χ2 = 11.93, P < 0.05). CONCLUSIONS Babesia infection is detected in voluntary blood donors in Jiangsu region, which should be paid much attention.
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Affiliation(s)
- H Lin
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - Y H Ji
- Jiangsu Provincial Center for Diseases Control and Prevention, China
| | - X L Chen
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - S W Zhu
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - J Sun
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - C Y Huang
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - Y J Jiao
- Jiangsu Provincial Center for Diseases Control and Prevention, China
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Xu WW, Yin CQ, Xu XJ, Zhang W. [Vessel Emission Inventories and Emission Characteristics for Inland Rivers in Jiangsu Province]. Huan Jing Ke Xue 2019; 40:2595-2606. [PMID: 31854650 DOI: 10.13227/j.hjkx.201810207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Based on ship visas, lockage data, and automatic identification system (AIS) data, vessel emission inventories for inland rivers of Jiangsu Province were established by using a vessel power-based approach, and the characteristics of vessel emissions were also discussed. The results showed that NOx, SO2, PM2.5, PM10, hydrocarbons (HC), CO, and CO2 emissions of inland ships in 2014 were 1.87×105, 5.13×104, 8.2×103, 1.1×104, 6.4×103, 1.67×104, and 1.05×107 t, respectively, for inland vessels (excluding the Yangtze River), and dry cargo ships had the largest pollutant emissions. The highest pollutant emissions were found in the tonnage range of 200-600 t, and the highest pollutant emissions were found during the normal navigation conditions of ships. For the arrival of ships in the Jiangsu section of the Yangtze River, the non-container cargo ships had the highest pollutant emissions, and the emissions of pollutants were the highest under loading and unloading conditions. Under a cruise state, the main engine and auxiliary engine were the main emission units for different power units; for transit ships in the Jiangsu section of the Yangtze River, non-container cargo ships had the highest pollutant emissions, followed by oil tankers. The highest emissions of all pollutants occurred under slow driving conditions, and for different power units, the emissions of SO2, PM2.5, and PM10 from the main engine were higher than those from the auxiliary engine. The emissions of atmospheric pollutants along the channel length of the channel of the North Jiangsu section of the Beijing-Hangzhou Grand Canal were relatively large, followed by those of the South Jiangsu Channel. The inland ship emissions in Jiangsu Province were less affected by time, except for the slightly smaller proportion of emissions in February, and the proportion of emissions in other months was basically uniform, where values ranged from 8% to 10%.
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Affiliation(s)
- Wen-Wen Xu
- China Design Group Co., Ltd., Nanjing 210014, China
| | - Cheng-Qi Yin
- China Design Group Co., Ltd., Nanjing 210014, China
| | - Xue-Ji Xu
- China Design Group Co., Ltd., Nanjing 210014, China
| | - Wei Zhang
- China Design Group Co., Ltd., Nanjing 210014, China
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Guo J, Jin J, Tang Y, Wu X. Design of Temperature Insurance Index and Risk Zonation for Single-Season Rice in Response to High-Temperature and Low-Temperature Damage: A Case Study of Jiangsu Province, China. Int J Environ Res Public Health 2019; 16:E1187. [PMID: 30987027 DOI: 10.3390/ijerph16071187] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 03/26/2019] [Accepted: 03/29/2019] [Indexed: 11/17/2022]
Abstract
Disaster insurance is an important tool for achieving sustainable development in modern agriculture. However, in China, the design of such insurance indexes is far from sufficient. In this paper, the single-season rice in Jiangsu Province of China is taken as an example to design the high-temperature damage index in summer and the low-temperature damage index in autumn to construct the formula calculating the weather output and single-season rice yield reduction. The daily highest, lowest and average temperatures between 1999 and 2015 are selected as main variables for the temperature disaster index to quantitatively analyze the relationship between the temperature index and the yield reduction rate of the single-season rice. The temperature disaster index can be put into the relevant model to obtain the yield reduction rate of the year and determine whether to pay the indemnity. Then, the burn analysis is used to determine the insurance premium rate for all cities in Jiangsu Province under four-level deductibles, and the insurance premium rate can be used for the risk division of the Province. The research provides some insights for the design of agricultural weather insurance products, and the empirical results provide a reference for the design of similar single-season rice temperature index insurance products.
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Liang S, Jian-Feng Z, Yi-Xin H, De-Rong H, Jie M, Jun G, Chao-Yong X, Lian-Heng Z, Lin W, Yin-Ping Z, Jing Z, Xuan Z, Yi-Qing X, Bo-Chao S, Gui-Sheng D, Jian-Feng C, Dao-Kuan S, Wei L, Kun Y. [Evaluation of implementation effect of schistosomiasis control program in Jiangsu Province from 2010 to 2015]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 30:615-618. [PMID: 30891970 DOI: 10.16250/j.32.1374.2018209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the actual effect of the schistosomiasis control program in Jiangsu Province from 2010 to 2015. METHODS A total of 67 schistosomiasis-endemic counties in 10 cities were selected, and a combination of retrospective investigation and on-site investigation was adopted to collect and record the epidemic data of the counties from 2010 to 2015, and a retrospective survey database of epidemic situation was established. The effects of integrated control strategies with both Oncomelania hupensis snail control and infection source control were evaluated. RESULTS From 2010 to 2015, 2 465 911 persons who lived in endemic areas were detected for schistosomiasis, with 16 974 positive cases of blood examinations, and 8 positive cases of fecal examinations. Totally 5 145 people with advanced schistosomiasis were treated and 40 460 people with the history of schistosome cercarial-infested water contact received the expanded chemotherapy. A total of 127 636 cattle raised in the endemic areas were detected, and 51 619 cattle (head-times) with the history of cercarial-infested water contact also received the expanded chemotherapy. The area with snails control by molluscicides was 18 604.84 hm2. By the end of 2015, schistosomeinfected snails had not been found and there was no zoological schistosome infection for 5 consecutive years, and in addition, there had been no acute schistosome-infected persons for 6 consecutive years in the whole province. The area with snails dropped to 1 977.18 hm2, with a decreasing rate of 55.24% compared with that in 2010. CONCLUSIONS After the implementation of the plan for the prevention and control of schistosomiasis in Jiangsu Province (2010-2015), the prevention and control of schistosomiasis has achieved remarkable effects and realized the goal of the plan.
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Affiliation(s)
- Shi Liang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center at Jiangnan University, Wuxi 214064, China
| | - Zhang Jian-Feng
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center at Jiangnan University, Wuxi 214064, China
| | - Huang Yi-Xin
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center at Jiangnan University, Wuxi 214064, China
| | - Hang De-Rong
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center at Jiangnan University, Wuxi 214064, China
| | - Min Jie
- Jiangsu Provincial Office of Leading Group for Schistosomiasis and Other Endemic Diseases Control, China
| | - Ge Jun
- Jiangsu Provincial Office of Leading Group for Schistosomiasis and Other Endemic Diseases Control, China
| | - Xie Chao-Yong
- Nanjing Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Zhang Lian-Heng
- Zhenjiang Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Wang Lin
- Zhenjiang Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Zuo Yin-Ping
- Yangzhou Municipal Center for Disease Control and Prevention,Jiangsu Province, China
| | - Zhou Jing
- Suzhou Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Zhang Xuan
- Wuxi Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Xie Yi-Qing
- Changzhou Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Sun Bo-Chao
- Yancheng Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Ding Gui-Sheng
- Nantong Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Chen Jian-Feng
- Taizhou Municipal Center for Disease Control and Prevention, Jiangsu Province, China
| | - Sun Dao-Kuan
- Jinhu County Schistosomiasis Control Station, Huai'an, Jiangsu Province, China
| | - Li Wei
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center at Jiangnan University, Wuxi 214064, China
| | - Yang Kun
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center at Jiangnan University, Wuxi 214064, China
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