1
|
Zhou Y, Zheng M, Gong Y, Huang J, Wang J, Xu N, Tong Y, Chen Y, Jiang Q, Cai Y, Zhou Y. Changing seroprevalence of schistosomiasis japonica in China from 1982 to 2020: A systematic review and spatial analysis. PLoS Negl Trop Dis 2024; 18:e0012466. [PMID: 39226311 DOI: 10.1371/journal.pntd.0012466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 08/17/2024] [Indexed: 09/05/2024] Open
Abstract
BACKGROUND Schistosomiasis is a global public health issue. In China, while the seroprevalence of Schistosomiasis japonica has currently reduced to a relatively low level, risk of infection still exists in certain areas. However, there has been a lack of comprehensive research on the long-term trends of national seroprevalence, changes across age groups, and characteristics in spatial distribution, which is crucial for effectively targeting interventions and achieving the goal of eliminating schistosomiasis by 2030. Our study aimed to address this gap by analyzing the long-term trends of Schistosomiasis japonica seroprevalence in China from 1982 to 2020 based on the data from diverse sources spanning a period of 39 years. METHODOLOGY Seroprevalence data were collected from literature databases and national schistosomiasis surveillance system. Meta-analysis was conducted to estimate the seroprevalence. Joinpoint model was used to identify changing trend and inflection point. Inverse distance weighted interpolation was used to determine the spatial distribution of seroprevalence. PRINCIPAL FINDINGS The seroprevalence decreased from 34.8% in 1982 to 2.4% in 2020 in China. Before 2006, the seroprevalence was higher in the middle age group, and a pattern of increasing with age was observed afterwards. The areas with high seroprevalence existed in Dongting Lake, Poyang Lake, Jianghan Plain, the Anhui branch of the Yangtze River and some localized mountainous regions in Sichuan and Yunnan provinces. CONCLUSIONS/SIGNIFICANCE There was a significant decline in the seroprevalence of Schistosomiasis japonica from 1982 to 2020 in China. Nevertheless, schistosomiasis has not been eradicated; thus, implementing precise and personalized monitoring measures is crucial for the elimination of schistosomiasis, especially in endemic areas and with a particular focus on the elderly.
Collapse
Affiliation(s)
- Yu Zhou
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Mao Zheng
- Hunan Institute for Schistosomiasis Control, Yueyang, Hunan Province, China
| | - Yanfeng Gong
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Junhui Huang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Jiamin Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Ning Xu
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Yixin Tong
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Qingwu Jiang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Yu Cai
- Hunan Institute for Schistosomiasis Control, Yueyang, Hunan Province, China
| | - Yibiao Zhou
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
- Fudan University Center for Tropical Disease Research, Shanghai, China
| |
Collapse
|
2
|
Kadaleka S, Abelman S, Tchuenche JM. A Human-Bovine Schistosomiasis Mathematical Model with Treatment and Mollusciciding. Acta Biotheor 2021; 69:511-541. [PMID: 34191204 DOI: 10.1007/s10441-021-09416-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 05/31/2021] [Indexed: 10/21/2022]
Abstract
To mitigate the spread of schistosomiasis, a deterministic human-bovine mathematical model of its transmission dynamics accounting for contaminated water reservoirs, including treatment of bovines and humans and mollusciciding is formulated and theoretically analyzed. The disease-free equilibrium is locally and globally asymptotically stable whenever the basic reproduction number [Formula: see text], while global stability of the endemic equilibrium is investigated by constructing a suitable Lyapunov function. To support the analytical results, parameter values from published literature are used for numerical simulations and where applicable, uncertainty analysis on the non-dimensional system parameters is performed using the Latin Hypercube Sampling and Partial Rank Correlation Coefficient techniques. Sensitivity analysis to determine the relative importance of model parameters to disease transmission shows that the environment-related parameters namely, [Formula: see text] (snails shedding rate of cercariae), [Formula: see text] (probability that cercariae shed by snails survive), c (fraction of the contaminated environment sprayed by molluscicides) and [Formula: see text] (mortality rate of cercariae) are the most significant to mitigate the spread of schistosomiasis. Mollusciciding, which directly impacts the contaminated environment as a single control strategy is more effective compared to treatment. However, concurrently applying mollusciciding and treatment will yield a better outcome.
Collapse
|
3
|
Comprehensive Risk Assessment of Schistosomiasis Epidemic Based on Precise Identification of Oncomelania hupensis Breeding Grounds-A Case Study of Dongting Lake Area. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041950. [PMID: 33671375 PMCID: PMC7923101 DOI: 10.3390/ijerph18041950] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/10/2021] [Accepted: 02/13/2021] [Indexed: 11/16/2022]
Abstract
Spatio-temporal epidemic simulation, assessment, and risk monitoring serve as the core to establishing and improving the national public health emergency management system. In this study, we investigated Oncomelania hupensis breeding grounds and analyzed the locational and environmental preferences of snail breeding in Dongting Lake (DTL), Hunan, China. Using geographic information systems and remote sensing technology, we identified schistosomiasis risk areas and explored the factors affecting the occurrence and transmission of the disease. Several key conclusions were drawn. (1) From 2006 to 2016, the spatial change of potential O. hupensis breeding risk showed a diminishing trend from the eastern and northern regions to southwest DTL. Environmental changes in the eastern DTL region resulted in the lakeside and hydrophilic agglomerations of the O. hupensis populations. The shift in snail breeding grounds from a fragmented to centralized distribution indicates the weakening mobility of the O. hupensis population, the increasing independence of solitary groups, and the growing dependence of the snail population to the local environment. (2) The spatial risk distribution showed a descending gradient from west Dongting area to the east and an overall pattern of high in the periphery of large lakes and low in other areas. The cold-spot areas had their cores in Huarong County and Anxiang County and were scattered throughout the peripheral areas. The hot-spot areas had their center at Jinshi City, Nanxian County, and the southern part of Huarong County. The areas with increased comprehensive risks changed from centralized and large-scale development to fragmented shrinkage with increased partialization in the core area. The risk distribution's center shifted to the northwest. The spatial risk distribution exhibited enhanced concentricity along the major axis and increased dispersion along the minor axis.
Collapse
|
4
|
KADALEKA S, ABELMAN S, MWAMTOBE PM, TCHUENCHE JM. OPTIMAL CONTROL ANALYSIS OF A HUMAN–BOVINE SCHISTOSOMIASIS MODEL. J BIOL SYST 2021. [DOI: 10.1142/s0218339021500017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
We formulate and analyze a deterministic mathematical model for the transmission dynamics of schistosomiasis with treatment of both humans and bovines and mollu-sciciding of the contaminated environment. The model effective reproduction number is derived and analytical results show that the disease-free and endemic equilibria are both locally and globally asymptotically stable. Pontryagin’s Maximum Principle which uses both Lagrangian and Hamiltonian principles with respect to a time-dependent constant is used to establish the existence of the optimal control problem and to derive the necessary conditions for optimal control of the disease. Mollusciciding of the contaminated environment has a major impact on disease control. However, combining it with treatment could help mitigate the spread of the disease compared to applying each control measure individually. Numerical simulations are performed to support theoretical results.
Collapse
Affiliation(s)
- S. KADALEKA
- School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, Private Bag 3, Wits 2050, South Africa
- Department of Mathematics and Statistics, University of Malawi, Private Bag 303, Chichiri, Blantyre, Malawi
| | - S. ABELMAN
- School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, Private Bag 3, Wits 2050, South Africa
| | - P. M. MWAMTOBE
- Department of Applied Studies, Malawi University of Science and Technology, P. O. Box 5196, Limbe, Malawi
| | - J. M. TCHUENCHE
- School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, Private Bag 3, Wits 2050, South Africa
| |
Collapse
|
5
|
Publication output of the new integrated strategy for schistosomiasis japonica control in China: a PubMed-based bibliometric assessment. GLOBAL HEALTH JOURNAL 2019. [DOI: 10.1016/j.glohj.2019.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
|
6
|
Qian C, Zhang Y, Zhang X, Yuan C, Gao Z, Yuan H, Zhong J. Effectiveness of the new integrated strategy to control the transmission of Schistosoma japonicum in China: a systematic review and meta-analysis. ACTA ACUST UNITED AC 2018; 25:54. [PMID: 30444486 PMCID: PMC6238655 DOI: 10.1051/parasite/2018058] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 11/04/2018] [Indexed: 12/30/2022]
Abstract
Since 2004, the national schistosomiasis control strategy in China has shifted from the morbidity control strategy (conventional strategy) to an integrated strategy (new strategy). We investigated the effectiveness of the new strategy and compared it against the conventional strategy. We retrieved from electronic databases the literature regarding the new strategy published from 2000 to 2017. The effect of the new or conventional strategy on infection by Schistosoma japonicum of humans and snails (Oncomelania hupensis) was evaluated with pooled log relative risk (logRR). A total of only eight eligible publications were included in the final meta-analysis. The results showed that implementation of the new strategy reduced the infection risk by 3–4 times relative to the conventional strategy. More specifically, the conventional strategy caused a reduction in both human (logRR = 0.56, 95% CI: 0.12–0.99) and snail infections (logRR = 0.34, 95% CI: −0.69–1.37), while the new strategy also significantly reduced both human (logRR = 1.89, 95% CI: 1.33–2.46) and snail infections (logRR = 1.61, 95% CI: 1.06–2.15). In contrast to the conventional strategy, the new strategy appeared more effective to control both human (logRR difference = 1.32, 95% CI: 0.78–1.86) and snail infections (logRR difference = 1.53, 95% CI: 0.76–2.31). Our data demonstrate that the new integrated strategy is highly effective to control the transmission of S. japonicum in China, and this strategy is recommended for schistosomiasis elimination in other affected regions across the world, with adaptation to local conditions.
Collapse
Affiliation(s)
- Chunyan Qian
- Yuhang Branch, The Second Affiliated Hospital of Zhejiang University, Hangzhou 311100, Zhejiang Province, PR China - School of Life Sciences, Fudan University, Shanghai 200433, PR China
| | - Yuefeng Zhang
- Yuhang Branch, The Second Affiliated Hospital of Zhejiang University, Hangzhou 311100, Zhejiang Province, PR China
| | - Xinyan Zhang
- Department of Clinical Laboratory, The Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200001, PR China
| | - Chao Yuan
- Shanghai Skin Disease Hospital, Shanghai 200443, PR China
| | - Zhichao Gao
- Yuhang Branch, The Second Affiliated Hospital of Zhejiang University, Hangzhou 311100, Zhejiang Province, PR China
| | - Hong Yuan
- Yuhang Branch, The Second Affiliated Hospital of Zhejiang University, Hangzhou 311100, Zhejiang Province, PR China
| | - Jiang Zhong
- School of Life Sciences, Fudan University, Shanghai 200433, PR China
| |
Collapse
|
7
|
Matilla F, Velleman Y, Harrison W, Nevel M. Animal influence on water, sanitation and hygiene measures for zoonosis control at the household level: A systematic literature review. PLoS Negl Trop Dis 2018; 12:e0006619. [PMID: 30001331 PMCID: PMC6057674 DOI: 10.1371/journal.pntd.0006619] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 07/24/2018] [Accepted: 06/18/2018] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Neglected zoonotic diseases (NZDs) have a significant impact on the livelihoods of the world's poorest populations, which often lack access to basic services. Water, sanitation and hygiene (WASH) programmes are included among the key strategies for achieving the World Health Organization's 2020 Roadmap for Implementation for control of Neglected Tropical Diseases (NTDs). There exists a lack of knowledge regarding the effect of animals on the effectiveness of WASH measures. OBJECTIVES This review looked to identify how animal presence in the household influences the effectiveness of water, hygiene and sanitation measures for zoonotic disease control in low and middle income countries; to identify gaps of knowledge regarding this topic based on the amount and type of studies looking at this particular interaction. METHODS Studies from three databases (Medline, Web of Science and Global Health) were screened through various stages. Selected articles were required to show burden of one or more zoonotic diseases, an animal component and a WASH component. Selected articles were analysed. A narrative synthesis was chosen for the review. RESULTS Only two studies out of 7588 met the inclusion criteria. The studies exemplified how direct or indirect contact between animals and humans within the household can influence the effectiveness of WASH interventions. The analysis also shows the challenges faced by the scientific community to isolate and depict this particular interaction. CONCLUSION The dearth of studies examining animal-WASH interactions is explained by the difficulties associated with studying environmental interventions and the lack of collaboration between the WASH and Veterinary Public Health research communities. Further tailored research under a holistic One Health approach will be required in order to meet the goals set in the NTDs Roadmap and the 2030 Agenda for Sustainable Development.
Collapse
Affiliation(s)
- Francisco Matilla
- Department of Pathobiology and Population Sciences, The Royal Veterinary College, London, United Kingdom
| | - Yael Velleman
- Policy and Campaigns Department, WaterAid, London, United Kingdom
| | - Wendy Harrison
- Faculty of Medicine, School of Public Health, Imperial College, London, United Kingdom
| | - Mandy Nevel
- Department of Pathobiology and Population Sciences, The Royal Veterinary College, London, United Kingdom
| |
Collapse
|
8
|
Li S, Chen Y, Xia C, Lynn H, Gao F, Wang Q, Zhang S, Hu Y, Zhang Z. The Spatial-Temporal Trend Analysis of Schistosomiasis from 1997 to 2010 in Anhui Province, Eastern China. Am J Trop Med Hyg 2018; 98:1145-1151. [PMID: 29436347 DOI: 10.4269/ajtmh.17-0475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Schistosomiasis is still prevalent in some parts of China. A shift in strategy from morbidity control to elimination has led to great strides in the past several decades. The objective of this study was to explore the spatial and temporal characteristics of schistosomiasis in Anhui, an eastern province of China. In this study, township-based parasitological data were collected from annual cross-sectional surveys during 1997-2010. The kernel k-means method was used to identify spatial clusters of schistosomiasis, and an empirical mode decomposition technique was used to analyze the temporal trend for Schistosoma japonicum in each clustered region. Overall, the prevalence of schistosomiasis remained at a low level except for the resurgence in 2005. According to the Caliński-Harabas index, all the townships were classified into three different clusters (median prevalence: 3.6 per 10,100, 1.8 per 10,000 and 1.7 per 10,000), respectively representing high-, median-, and low-risk clusters. There was an increasing tendency observed for the disease over time. The prevalence increased rapidly from 2003 to 2005, peaked in 2006, and then decreased afterward in the high-risk cluster. A moderate increase was observed in the median-risk cluster from 1998 to 2006, but there was an obvious decreasing tendency in the low-risk cluster after the year 2000. The spatial and temporal patterns of schistosomiasis were nonsynchronous across the three clusters. Disease interventions may be adjusted according to the risk levels of the clusters.
Collapse
Affiliation(s)
- Si Li
- Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.,Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Laboratory for Spatial Analysis and Modelling, School of Public Health, Fudan University, Shanghai, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Congcong Xia
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.,Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Laboratory for Spatial Analysis and Modelling, School of Public Health, Fudan University, Shanghai, China.,Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Henry Lynn
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.,Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Fenghua Gao
- Anhui Institute of Parasitic Diseases, Hefei, Anhui Province, China
| | - Qizhi Wang
- Anhui Institute of Parasitic Diseases, Hefei, Anhui Province, China
| | - Shiqing Zhang
- Anhui Institute of Parasitic Diseases, Hefei, Anhui Province, China
| | - Yi Hu
- Laboratory for Spatial Analysis and Modelling, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.,Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Zhijie Zhang
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.,Laboratory for Spatial Analysis and Modelling, School of Public Health, Fudan University, Shanghai, China.,Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China.,Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
| |
Collapse
|
9
|
Sun LP, Wang W, Zuo YP, Zhang ZQ, Hong QB, Yang GJ, Zhu HR, Liang YS, Yang HT. An integrated environmental improvement of marshlands: impact on control and elimination of schistosomiasis in marshland regions along the Yangtze River, China. Infect Dis Poverty 2017; 6:72. [PMID: 28330510 PMCID: PMC5361825 DOI: 10.1186/s40249-017-0287-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 03/15/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Schistosomiasis is a global snail-transmitted infectious disease of poverty. Transmission control had been achieved in China in 2015 after the control efforts for over 60 years. Currently, the remaining core regions endemic for Schistosoma japonicum are mainly located in the marshland and lake regions along the Yangtze River basin. METHODS During the period from 2001 through 2015, an integrated environmental improvement of the marshlands was carried out through the implementation of industrial, agricultural and resources development projects in Yizheng County along the Yangtze River. S. japonicum infection in humans, livestock and snails was estimated by serology, stool examination, hatching technique and microscopy during the 15-year study period to evaluate the effect of the integrated environmental improvement on control and elimination of schistosomiasis. RESULTS A 0.05% overall rate of S. japonicum infection was observed in snails during the 15-year study period, and no infected snails were detected since 2012. The overall prevalence of S. japonicum infection was 0.09% in humans during the study period, and no human infection was found since 2012. In addition, only 13 bovines were identified with S. japonicum infection in 2003 during the 15-year study period, and since 2004, no infection was found in livestock. CONCLUSION The results of the present study demonstrate that the implementation of industrial, agricultural and water resources development projects, not only alters snail habitats in marshland regions, and promotes local economic development, which appears a win-to-win strategy to block the transmission of S. japonicum and accelerate socio-economic development along the Yangtze River.
Collapse
Affiliation(s)
- Le-Ping Sun
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Institute of Parasitic Diseases, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
| | - Wei Wang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Institute of Parasitic Diseases, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
| | - Yin-Ping Zuo
- Yangzhou Municipal Center for Disease Control and Prevention, No. 36 Yanfu East Road, Yangzhou City, Jiangsu Province 225000 China
| | - Zheng-Qiu Zhang
- Yizheng County Center for Disease Control and Prevention, NO. 1 Jiankang Road, Yangzhou City, Jiangsu Province 211440 China
| | - Qing-Biao Hong
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Institute of Parasitic Diseases, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
| | - Guo-Jing Yang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Institute of Parasitic Diseases, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
| | - Hong-Ru Zhu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Institute of Parasitic Diseases, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
| | - You-Sheng Liang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Institute of Parasitic Diseases, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
| | - Hai-Tao Yang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
- Jiangsu Institute of Parasitic Diseases, No. 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064 China
| |
Collapse
|
10
|
Sun LP, Wang W, Hong QB, Li SZ, Liang YS, Yang HT, Zhou XN. Approaches being used in the national schistosomiasis elimination programme in China: a review. Infect Dis Poverty 2017; 6:55. [PMID: 28292327 PMCID: PMC5351197 DOI: 10.1186/s40249-017-0271-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 02/27/2017] [Indexed: 01/07/2023] Open
Abstract
Schistosomiasis japonica, caused by the human blood fluke Schistosoma japonicum, remains a major public health problem in China, although great success has been achieved. The control efforts during the past half-decade, notably the wide implementation of the new integrated strategy with emphasis on control of the source of S. japonicum infection across the country since 2004, has greatly reduced S. japonicum in humans, livestock, and intermediate host Oncomelania hupensis snails, and transmission control of schistosomiasis was achieved in China in 2015. A two-stage roadmap was therefore proposed for schistosomiasis elimination in 2015, with aims to achieve transmission interruption by 2020 and achieve disease elimination by 2025 in the country. During the last two decades, a variety of approaches, which target the epidemiological factors of schistosomiasis japonica have been developed, in order to block the transmission cycle of the parasite. These approaches have been employed in the national or local schistosomiasis control activities, and facilitated, at least in part, the progress of the schistosomiasis elimination programs. Here, we present an approach to control the source of S. japonicum infection, three new tools for snail control, three approaches for detecting and monitoring S. japonicum infection, and a novel model for health education. These approaches are considered to play a great role in the stage moving towards transmission interruption and elimination of schistosomiasis in China.
Collapse
Affiliation(s)
- Le-Ping Sun
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Wuxi, 214064, China.,Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Wuxi, 214064, China.,Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China
| | - Wei Wang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Wuxi, 214064, China. .,Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Wuxi, 214064, China. .,Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China. .,School of Public Health, Fujian Medical University, Fuzhou, 350004, China.
| | - Qing-Biao Hong
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Wuxi, 214064, China.,Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Wuxi, 214064, China.,Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China
| | - Shi-Zhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.,Key Laboratory for Parasite and Vector Biology, National Health and Family Planning Commission, Shanghai, 200025, China.,WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025, China
| | - You-Sheng Liang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Wuxi, 214064, China.,Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Wuxi, 214064, China.,Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China
| | - Hai-Tao Yang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Wuxi, 214064, China.,Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Wuxi, 214064, China.,Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China. .,Key Laboratory for Parasite and Vector Biology, National Health and Family Planning Commission, Shanghai, 200025, China. .,WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025, China.
| |
Collapse
|
11
|
Wang X, Wang W, Wang P. Long-term effectiveness of the integrated schistosomiasis control strategy with emphasis on infectious source control in China: a 10-year evaluation from 2005 to 2014. Parasitol Res 2016; 116:521-528. [PMID: 27812902 DOI: 10.1007/s00436-016-5315-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 10/26/2016] [Indexed: 01/24/2023]
Abstract
Schistosomiasis is a neglected tropical parasitic disease of great public health significance worldwide. Currently, mass drug administration with praziquantel remains the major strategy for global schistosomiasis control programs. Since 2005, an integrated strategy with emphasis on infectious source control was implemented for the control of schistosomiasis japonica, a major public health concern in China, and pilot studies have demonstrated that such a strategy is effective to reduce the prevalence of Schistosoma japonicum infection in both humans and bovines. However, there is little knowledge on the long-term effectiveness of this integrated strategy for controlling schistosomiasis japonica. The aim of this study was to evaluate the long-term effectiveness of the integrated strategy for schistosomiasis control following the 10-year implementation, based on the data from the national schistosomiasis control program released by the Ministry of Health, People's Republic of China. In 2014, there were 5 counties in which the transmission of schistosomiasis japonica had not been interrupted, which reduced by 95.2% as compared to that in 2005 (105 counties). The number of schistosomiasis patients and acute cases reduced by 85.5 and 99.7% in 2014 (115,614 cases and 2 cases) as compared to that in 2005 (798,762 cases and 564 cases), and the number of bovines and S. japonicum-infected bovines reduced by 47.9 and 98% in 2014 (919,579 bovines and 666 infected bovines) as compared to that in 2005 (1,764,472 bovines and 33,736 infected bovines), respectively. During the 10-year implementation of the integrated strategy, however, there was a minor fluctuation in the area of Oncomelania hupensis snail habitats, and there was only a 5.6% reduction in the area of snail habitats in 2014 relative to in 2005. The results of the current study demonstrate that the 10-year implementation of the integrated strategy with emphasis on infectious source has greatly reduced schistosomiasis-related morbidity in humans and bovines. It is concluded that the new integrated strategy has remarkable long-term effectiveness on the transmission of schistosomiasis japonica in China, which facilitates the shift of the national schistosomiasis control program from transmission control to transmission interruption and elimination. However, such a strategy seems to have little effect on the shrinking of areas of snail habitats.
Collapse
Affiliation(s)
- Xiaoli Wang
- Jingzhou Hospital of Traditional Chinese Medicine, Jingzhou City, Hubei, 434000, China
| | - Wei Wang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Wuxi City, Jiangsu Province, 214064, China.,Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Wuxi City, Jiangsu Province, 214064, China.,Jiangsu Institute of Parasitic Diseases, Wuxi City, Jiangsu Province, 214064, China
| | - Peng Wang
- Wuxi No. 2 Hospital Affiliated to Nanjing Medical University, No. 68 Zhongshan Road, Wuxi City, Jiangsu Province, 214002, China.
| |
Collapse
|
12
|
Xu J, Steinman P, Maybe D, Zhou XN, Lv S, Li SZ, Peeling R. Evolution of the National Schistosomiasis Control Programmes in The People's Republic of China. ADVANCES IN PARASITOLOGY 2016; 92:1-38. [PMID: 27137441 DOI: 10.1016/bs.apar.2016.02.001] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Schistosomiasis japonica is caused by the parasitic trematode Schistosoma japonicum. It is endemic in The People's Republic of China and has significant impact on human health and socioeconomic development in certain regions. Over the last six decades, the national control programmes evolved in remarkable ways and brought schistosomiasis japonica largely under control. We describe the history and evolution of schistosomiasis control in The People's Republic of China, with an emphasis on shifts in control strategies that evolved with new insights into the biology of the parasite and its intermediate hosts, and the epidemiology of the disease in the country. We also highlight the achievements in controlling the disease in different socioecological settings, and identify persisting challenges to fully eliminate schistosomiasis japonica from the country. To reach the goal of schistosomiasis elimination, further integration of interventions, multisector collaboration, sensitive and effective surveillance are needed to strengthen.
Collapse
Affiliation(s)
- J Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - P Steinman
- Swiss Tropical and Public Health Institute, Basel, Switzerland; Basel Universities, Basel, Switzerland
| | - D Maybe
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - X-N Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - S Lv
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - S-Z Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - R Peeling
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| |
Collapse
|
13
|
Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2015; 12:11756-69. [PMID: 26393632 PMCID: PMC4586705 DOI: 10.3390/ijerph120911756] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Revised: 09/10/2015] [Accepted: 09/10/2015] [Indexed: 12/02/2022]
Abstract
With the strategy shifting from morbidity control to transmission interruption, the burden of schistosomiasis in China has been declining over the past decade. However, further controls of the epidemic in the lake and marshland regions remain a challenge. Prevalence data at county level were obtained from the provincial surveillance system in Anhui during 1997–2010. Spatial autocorrelation analysis and spatial scan statistics were combined to assess the spatial pattern of schistosomiasis. The spatial-temporal cluster analysis based on retrospective space-time scan statistics was further used to detect risk clusters. The Global Moran’s I coefficients were mostly statistically significant during 1997–2004 but not significant during 2005–2010. The clusters detected by two spatial cluster methods occurred in Nanling, Tongling, Qingyang and Wuhu during 1997–2004, and Guichi and Wuhu from 2005 to 2010, respectively. Spatial-temporal cluster analysis revealed 2 main clusters, namely Nanling (1999–2002) and Guichi (2005–2008). The clustering regions were significantly narrowed while the spatial extent became scattered during the study period. The high-risk areas shifted from the low reaches of the Yangtze River to the upper stream, suggesting the focus of schistosomiasis control should be shifted accordingly and priority should be given to the snail habitats within the high-risk areas of schistosomiasis.
Collapse
|
14
|
Integrated control programmes for schistosomiasis and other helminth infections in P.R. China. Acta Trop 2015; 141:332-41. [PMID: 24361182 DOI: 10.1016/j.actatropica.2013.11.028] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Revised: 10/26/2013] [Accepted: 11/30/2013] [Indexed: 02/08/2023]
Abstract
The prevalence of human schistosomiasis and soil-transmitted helminthiasis (STH) has decreased significantly in the People's Republic of China (P.R. China), particularly after 2005 when the national control programmes were reinforced by forming of integrated control strategies. Furthermore, social-economic development also contributed to the decrease of schistosome and soil-transmitted helminth infections. The prevalence of the zoonotic helminthiasis, including clonorchiasis and echinococcosis, on the other hand, is either underestimated or has in fact increased due to changes in social and environmental factors. In comparison with the control strategies in force and their effects on those four kinds of helminthiasis, the challenges and control priorities for the potential transfer from control to elimination of each disease is reviewed, to provide evidence for policy-makers to act upon.
Collapse
|
15
|
Gao FH, Abe EM, Li SZ, Zhang LJ, He JC, Zhang SQ, Wang TP, Zhou XN, Gao J. Fine scale Spatial-temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-time scan statistics. Parasit Vectors 2014; 7:578. [PMID: 25491192 PMCID: PMC4273478 DOI: 10.1186/s13071-014-0578-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 11/27/2014] [Indexed: 01/04/2023] Open
Abstract
Background Marching towards the elimination of schistosomiasis in China, both the incidence and prevalence have witnessed profound decline over the past decades, with the strategy shifting from morbidity control to transmission control. The current challenge is to find out hotspots of transmission risk for precise targeted control in low-prevalence areas. This study assessed the risk at the village level, using the spatial and temporal characteristics of Schistosomiasis japonica in Anhui province from 2006 to 2012. Method The comprehensive database was generated from annual surveillance data at village level in Anhui province between 2006 and 2012, comprising schistosomiasis prevalence among humans and cattle, occurrence rate of infected environments and incidence rate of acute schistosomiasis. The database parameters were matched with geographic data of the study area and fine scale spatial-temporal cluster analysis based on retrospective space-time scan statistics was used to assess the clustering pattern of schistosomiasis. The analysis was conducted by using SaTScan 9.1.1 and ArcGIS 10.0. A spatial statistical modelling was carried out to determine the spatial dependency of prevalence of human infection by using Geoda 1.4.3. Result A pronounced decline was found in the prevalence of human infection, cattle infection, occurrence rate of environment with infected vector snails and incidence rate of acute schistosomiasis from 2006 to 2012 by 48.6%, 71.5%, 91.9% and 96.4%, respectively. Meanwhile, all 4 indicators showed a statistically significant clustering pattern both in time and space, with a total of 16, 6, 8 and 4 corresponding clustering foci found respectively. However, the number of clustering foci declined with time, and none was found after year 2010. All clustering foci were mainly distributed along the Yangtze River and its connecting branches. The result shows that there is a direct spatial relationship between prevalence of human infection and the other indicators. Conclusion A decreasing trend in space-time clustering of schistosomiasis endemic status was observed between 2006 and 2012 in Anhui province. Nevertheless, giving the complexity in schistosomiasis control, areas within the upper-stream of Yangtze River in Anhui section and its connecting branches should be targeted for effective implementation of control strategies in the future.
Collapse
Affiliation(s)
- Feng-hua Gao
- Anhui Provincial Institute of Schistosomiasis Control, Hefei, 230061, China.
| | - Eniola Michael Abe
- Department of Zoology, Federal University Lafia, P.M. B 146, Lafia, Nasarawa State, Nigeria.
| | - Shi-zhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
| | - Li-juan Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
| | - Jia-Chang He
- Anhui Provincial Institute of Schistosomiasis Control, Hefei, 230061, China.
| | - Shi-qing Zhang
- Anhui Provincial Institute of Schistosomiasis Control, Hefei, 230061, China.
| | - Tian-ping Wang
- Anhui Provincial Institute of Schistosomiasis Control, Hefei, 230061, China.
| | - Xiao-nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
| | - Jing Gao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
| |
Collapse
|
16
|
Abstract
Schistosomiasis is one of the most prevalent, insidious and serious of the tropical parasitic diseases. Although the effective anthelmintic drug, praziquantel, is widely available and cheap, it does not protect against re-infection, drug-resistant schistosome may evolve and mass drug administration programmes based around praziquantel are probably unsustainable long term. Whereas protective anti-schistosome vaccines are not yet available, the zoonotic nature of Schistosoma japonicum provides a novel approach for developing a transmission-blocking veterinary vaccine in domestic animals, especially bovines, which are major reservoir hosts, being responsible for up to 90% of environmental egg contamination in China and the Philippines. However, a greater knowledge of schistosome immunology is required to understand the processes associated with anti-schistosome protective immunity and to reinforce the rationale for vaccine development against schistosomiasis japonica. Importantly as well, improved diagnostic tests, with high specificity and sensitivity, which are simple, rapid and able to diagnose light S. japonicum infections, are required to determine the extent of transmission interruption and the complete elimination of schistosomiasis following control efforts. This article discusses aspects of the host immune response in schistosomiasis, the current status of vaccine development against S. japonicum and reviews approaches for diagnosing and detecting schistosome infections in mammalian hosts.
Collapse
|
17
|
Yang GJ, Liu L, Zhu HR, Griffiths SM, Tanner M, Bergquist R, Utzinger J, Zhou XN. China's sustained drive to eliminate neglected tropical diseases. THE LANCET. INFECTIOUS DISEASES 2014; 14:881-92. [DOI: 10.1016/s1473-3099(14)70727-3] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
|
18
|
Zhou L, Yu L, Wang Y, Lu Z, Tian L, Tan L, Shi Y, Nie S, Liu L. A hybrid model for predicting the prevalence of schistosomiasis in humans of Qianjiang City, China. PLoS One 2014; 9:e104875. [PMID: 25119882 PMCID: PMC4131990 DOI: 10.1371/journal.pone.0104875] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2014] [Accepted: 07/16/2014] [Indexed: 11/18/2022] Open
Abstract
Backgrounds/Objective Schistosomiasis is still a major public health problem in China, despite the fact that the government has implemented a series of strategies to prevent and control the spread of the parasitic disease. Advanced warning and reliable forecasting can help policymakers to adjust and implement strategies more effectively, which will lead to the control and elimination of schistosomiasis. Our aim is to explore the application of a hybrid forecasting model to track the trends of the prevalence of schistosomiasis in humans, which provides a methodological basis for predicting and detecting schistosomiasis infection in endemic areas. Methods A hybrid approach combining the autoregressive integrated moving average (ARIMA) model and the nonlinear autoregressive neural network (NARNN) model to forecast the prevalence of schistosomiasis in the future four years. Forecasting performance was compared between the hybrid ARIMA-NARNN model, and the single ARIMA or the single NARNN model. Results The modelling mean square error (MSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) of the ARIMA-NARNN model was 0.1869×10−4, 0.0029, 0.0419 with a corresponding testing error of 0.9375×10−4, 0.0081, 0.9064, respectively. These error values generated with the hybrid model were all lower than those obtained from the single ARIMA or NARNN model. The forecasting values were 0.75%, 0.80%, 0.76% and 0.77% in the future four years, which demonstrated a no-downward trend. Conclusion The hybrid model has high quality prediction accuracy in the prevalence of schistosomiasis, which provides a methodological basis for future schistosomiasis monitoring and control strategies in the study area. It is worth attempting to utilize the hybrid detection scheme in other schistosomiasis-endemic areas including other infectious diseases.
Collapse
Affiliation(s)
- Lingling Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lijing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhouqin Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lihong Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Tan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yun Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaofa Nie
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- * E-mail: (SFN); (LL)
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- * E-mail: (SFN); (LL)
| |
Collapse
|
19
|
Li SZ, Zheng H, Abe EM, Yang K, Bergquist R, Qian YJ, Zhang LJ, Xu ZM, Xu J, Guo JG, Xiao N, Zhou XN. Reduction patterns of acute schistosomiasis in the People's Republic of China. PLoS Negl Trop Dis 2014; 8:e2849. [PMID: 24810958 PMCID: PMC4014431 DOI: 10.1371/journal.pntd.0002849] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Accepted: 03/27/2014] [Indexed: 12/04/2022] Open
Abstract
Background Despite significant, steady progress in schistosomiasis control in the People's Republic of China over the past 50 years, available data suggest that the disease has re-emerged with several outbreaks of acute infections in the early new century. In response, a new integrated strategy was introduced. Methods This retrospective study was conducted between Jan 2005 and Dec 2012, to explore the effectiveness of a new integrated control strategy that was implemented by the national control program since 2004. Results A total of 1,047 acute cases were recorded between 2005 and 2012, with an annual reduction in prevalence of 97.7%. The proportion of imported cases of schistosomiasis was higher in 2011 and 2012. Nine clusters of acute infections were detected by spatio-temporal analysis between June and November, indicating that the high risk areas located in the lake and marshland regions. Conclusion This study shows that the new integrated strategy has played a key role in reducing the morbidity of schistosomiasis in the People's Republic of China. A retrospective study on the incidence of acute schistosomiasis in the People's Republic of China (P.R. China) was performed, in order to assess the new integrated control strategy that was implemented through the national control program from 2005 to 2012. The lake and marshland regions have been identified as high risk areas as shown by the nine spatio-temporal clusters that we found in the transmission period between June and November each year. When a total of 1,047 reported cases of acute schistosomiasis were analyzed, a reduction in prevalence of 97.7% between 2005 and 2012 was found. In contrast, imported cases of acute schistosomiasis increased between 2011 and 2012. These findings support the approach and effectiveness of the new integrated strategy in the reduction of schistosomiasis morbidity.
Collapse
Affiliation(s)
- Shi-Zhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Hao Zheng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Eniola Michael Abe
- Department of Zoology, Federal University Lafia, Lafia, Nasarawa State, Nigeria
| | - Kun Yang
- Jiangsu Institute of Parasitic Diseases, Wuxi, People's Republic of China
| | | | - Ying-Jun Qian
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Li-Juan Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Zhi-Min Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Jing Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Jia-Gang Guo
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Ning Xiao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai, People's Republic of China
- * E-mail:
| |
Collapse
|
20
|
Yang K, Xu JF, Zhang JF, Li W, He J, Liang S, Bergquist R. Establishing and applying a schistosomiasis early warning index (SEWI) in the lower Yangtze River Region of Jiangsu Province, China. PLoS One 2014; 9:e94012. [PMID: 24705352 PMCID: PMC3976384 DOI: 10.1371/journal.pone.0094012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2013] [Accepted: 03/12/2014] [Indexed: 12/30/2022] Open
Abstract
Background China has made remarkable progress in schistosomiasis control over the past decades. Transmission control has replaced morbidity control as the country moves towards the goal of elimination and the current challenge is to find a sensitive measure capable of gauging transmission risk in low-prevalence areas. The study aims to develop a Schistosomiasis Early Warning Index (SEWI) and demonstrate its use in Jiangsu Province along the lower Yangtze River. Methodology/Principal Findings The Delphi approach, a structured communication technique, was used to develop the SEWI. Two rounds of interviews with 30 public health experts specialized in schistosomiasis control were conducted using 40 indicators that reflected different aspects of schistosomiasis transmission and control. The necessity, feasibility, and sensitivity of each indicator were assessed and the weight value of each indicator determined based on these experts' judgment. The system included 3 first-order indicators, 7 second-order indicators, and 30 third-order indicators. The 3 first-order indicators were endemic status, control measures, social and environmental factors, with the weight values 0.366, 0.343 and 0.291, respectively. For the 7 second-order indicators, the highest weight value was for control measures for snails (0.175) and the lowest for transmission route (0.110). We estimated and mapped the SEWI for endemic areas at the county scale in Jiangsu Province finding that the majority of the endemic areas were characterized as medium transmission risk (SEWI risk values between 0.3 and 0.6), while areas where transmission interruption had been officially declared showed SEWI values <0.30. A few isolated areas (e.g. endemic islands in the Yangtze River) produced SEWI values >0.60. These estimates are largely in agreement with the endemicity levels based on recent epidemiological surveys. Conclusions/Significance The SEWI should be useful for estimation of schistosomiasis transmission surveillance, particularly with reference to the elimination of the disease in China.
Collapse
Affiliation(s)
- Kun Yang
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province, China
- * E-mail:
| | - Jun-Fang Xu
- Medicine school, Hubei University for Nationalities, Enshi, Hubei Province, China
| | - Jian-Feng Zhang
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province, China
| | - Wei Li
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province, China
| | - Jian He
- Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province, China
| | - Song Liang
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
| | | |
Collapse
|
21
|
Cai YC, Xu JF, Steinmann P, Chen SH, Chu YH, Tian LG, Chen MX, Li H, Lu Y, Zhang LL, Zhou Y, Chen JX. Field comparison of circulating antibody assays versus circulating antigen assays for the detection of schistosomiasis japonica in endemic areas of China. Parasit Vectors 2014; 7:138. [PMID: 24684924 PMCID: PMC3978087 DOI: 10.1186/1756-3305-7-138] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Accepted: 03/14/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Schistosomiasis remains a serious public health problem in affected countries, and routine, highly sensitive and cost-effective diagnostic methods are lacking. We evaluated two immunodiagnostic techniques for the detection of Schistosoma japonicum infections: circulating antibody and circulating antigen assays. METHODS A total of 1864 individuals (between 6 and 72 years old) residing in five administrative villages in Hubei province were screened by serum examination with an indirect hemagglutination assay (IHA). The positive individuals (titer ≥20 in IHA) were reconfirmed by stool examination with the Kato-Katz method (three slides from a single stool specimen). Samples of good serum quality and a volume above 0.5 ml were selected for further testing with two immunodiagnostic antibody (DDIA and ELISA) and two antigen (ELISA) assays. RESULTS The average antibody positive rate in the five villages was 12.7%, while the average parasitological prevalence was 1.50%; 25 of the 28 egg-positive samples were also circulating antigen-positive. Significant differences were observed between the prevalence according to the Kato-Katz method and all three immunodiagnostic antibody assays (P-value <0.0001). Similar differences were observed between the Kato-Katz method and the two immunodiagnostic antigen assays (P-value <0.0001) and between the antigen and antibody assays (P-value <0.0001). CONCLUSION Both circulating antibody and circulating antigen assays had acceptable performance characteristics. Immunodiagnostic techniques to detect circulating antigens have potential to be deployed for schistosomiasis japonica screening in the endemic areas.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Jia-Xu Chen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, People's Republic of China.
| |
Collapse
|
22
|
McManus DP. Schistosomiasis in 2012: current status and key research priorities required for control leading to elimination. Expert Rev Anti Infect Ther 2014; 10:1233-6. [DOI: 10.1586/eri.12.121] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
23
|
Yang K, Li W, Sun LP, Huang YX, Zhang JF, Wu F, Hang DR, Steinmann P, Liang YS. Spatio-temporal analysis to identify determinants of Oncomelania hupensis infection with Schistosoma japonicum in Jiangsu province, China. Parasit Vectors 2013; 6:138. [PMID: 23648203 PMCID: PMC3654978 DOI: 10.1186/1756-3305-6-138] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2013] [Accepted: 05/04/2013] [Indexed: 11/13/2022] Open
Abstract
Background With the successful implementation of integrated measures for schistosomiasis japonica control, Jiangsu province has reached low-endemicity status. However, infected Oncomelania hupensis snails could still be found in certain locations along the Yangtze river until 2009, and there is concern that they might spread again, resulting in the possible re-emergence of infections among people and domestic animals alike. In order to establish a robust surveillance system that is able to detect the spread of infected snails at an early stage, sensitive and reliable methods to identify risk factors for the establishment of infected snails need to be developed. Methods A total of 107 villages reporting the persistent presence of infected snails were selected. Relevant data on the distribution of infected snails, and human and livestock infection status information for the years 2003 to 2008 were collected. Spatio-temporal pattern analysis including spatial autocorrelation, directional distribution and spatial error models were carried out to explore spatial correlations between infected snails and selected explanatory factors. Results The area where infected snails were found, as well as their density, decreased significantly between 2003 and 2008. Changes in human and livestock prevalences were less pronounced. Three statistically significant spatial autocorrelations for infected snails were identified. (i) The Moran’s I of infected snails increased from 2004 to 2007, with the snail density increasing and the area with infected snails decreasing. (ii) The standard deviations of ellipses around infected snails were decreasing and the central points of the ellipses moved from West to East. (iii) The spatial error models indicated no significant correlation between the density of infected snails and selected risk factors. Conclusions We conclude that the contribution of local infection sources including humans and livestock to the distribution of infected snails might be relatively small and that snail control may limit infected snails to increasingly small areas ecologically most suitable for transmission. We provide a method to identify these areas and risk factors for persistent infected snail presence through spatio-temporal analysis, and a suggested framework, which could assist in designing evidence based control strategies for schistosomiasis japonica elimination.
Collapse
Affiliation(s)
- Kun Yang
- Jiangsu Institute of Parasitic Diseases, Wuxi, China.
| | | | | | | | | | | | | | | | | |
Collapse
|
24
|
Hong XC, Xu XJ, Chen X, Li YS, Yu CH, Yuan Y, Chen YY, Li RD, Qiu J, Liu ZC, Yi P, Ren GH, He HB. Assessing the effect of an integrated control strategy for schistosomiasis japonica emphasizing bovines in a marshland area of Hubei Province, China: a cluster randomized trial. PLoS Negl Trop Dis 2013; 7:e2122. [PMID: 23516656 PMCID: PMC3597472 DOI: 10.1371/journal.pntd.0002122] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2012] [Accepted: 02/04/2013] [Indexed: 11/30/2022] Open
Abstract
Introduction More than 80% of schistosomiasis patients in China live in the lake and marshland regions. The purpose of our study is to assess the effect of a comprehensive strategy to control transmission of Schistosoma japonicum in marshland regions. Methodology/Principal Findings In a cluster randomized controlled trial, we implemented an integrated control strategy in twelve villages from 2009 through 2011 in Gong'an County, Hubei Province. The routine interventions included praziquantel chemotherapy and controlling snails, and were implemented in all villages. New interventions, mainly consisting of building fences to limit the grazing area for bovines, building safe pastures for grazing, improving the residents' health conditions and facilities, were only implemented in six intervention villages. Results showed that the rate of S. japonicum infection in humans, bovines, snails, cow dung and mice in the intervention group decreased from 3.41% in 2008 to 0.81% in 2011, 3.3% to none, 11 of 6,219 to none, 3.9% to none and 31.7% to 1.7%, respectively (P<0.001 for all comparisons). In contrast, there were no statistically significant reductions of S. japonicum infection in humans, bovines and snails from 2008 to 2011 in the control group (P>0.05 for all comparisons). Moreover, a generalized linear model showed that there was a higher infection risk in humans in the control group than in the intervention group (OR = 1.250, P = 0.001) and an overall significant downward trend in infection risk during the study period. Conclusions/Significance The integrated control strategy, designed to reduce the role of bovines and humans as sources of S. japonicum infection, was highly effective in controlling the transmission of S. japonicum in marshland regions in China. Trial Registration Chinese Clinical Trial Registry ChiCTR-PRC-12002405. More than 80% of schistosomiasis patients in China live in the lake and marshland regions. Hence, how to control transmission of Schistosoma japonicum in these regions is especially important. From 2009 through 2011, we implemented an integrated control strategy, designed to reduce the role of bovines and humans as sources of S. japonicum infection, in twelve villages Gong'an County of Hubei Province, which is located in typical marshland. After three years, the rate of S. japonicum infection in humans, bovines and snails significantly declined in the six intervention villages. In contrast, there was no significant decline in these indexes in the six control villages. Moreover, there was a higher infection risk in humans in the control group than the intervention group. Our study showed that the integrated control strategy was highly effective in controlling the transmission of S. japonicum in marshland regions of China.
Collapse
Affiliation(s)
- Xi-Cheng Hong
- School of Public Health & Global Health Institute, Wuhan University, Wuhan, Hubei, People's Republic of China
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, People's Republic of China
| | - Xing-Jian Xu
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, People's Republic of China
| | - Xi Chen
- School of Public Health & Global Health Institute, Wuhan University, Wuhan, Hubei, People's Republic of China
- Wuhan Central Hospital, Wuhan, Hubei, People's Republic of China
| | - Yue-Sheng Li
- Hunan Institute of Parasitic Diseases, Yueyang, Hunan, People's Republic of China
| | - Chuan-Hua Yu
- School of Public Health & Global Health Institute, Wuhan University, Wuhan, Hubei, People's Republic of China
- * E-mail:
| | - Yi Yuan
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, People's Republic of China
| | - Yan-Yan Chen
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, People's Republic of China
| | - Ren-Dong Li
- Institute of Geodesy and Geophysics, Chinese Academy of Science, Wuhan, Hubei, People's Republic of China
| | - Juan Qiu
- Institute of Geodesy and Geophysics, Chinese Academy of Science, Wuhan, Hubei, People's Republic of China
| | - Zong-Chuan Liu
- Hunan Institute of Parasitic Diseases, Yueyang, Hunan, People's Republic of China
| | - Ping Yi
- Hunan Institute of Parasitic Diseases, Yueyang, Hunan, People's Republic of China
| | - Guang-Hui Ren
- Hunan Institute of Parasitic Diseases, Yueyang, Hunan, People's Republic of China
| | - Hong-Bin He
- Hunan Institute of Parasitic Diseases, Yueyang, Hunan, People's Republic of China
| |
Collapse
|
25
|
Wang W, Wang L, Liang YS. Susceptibility or resistance of praziquantel in human schistosomiasis: a review. Parasitol Res 2012; 111:1871-7. [PMID: 23052781 DOI: 10.1007/s00436-012-3151-z] [Citation(s) in RCA: 267] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2012] [Accepted: 09/26/2012] [Indexed: 01/07/2023]
Abstract
Since praziquantel was developed in 1970s, it has replaced other antischistosomal drugs to become the only drug of choice for treatment of human schistosomiases, due to high efficacy, excellent tolerability, few and transient side effects, simple administration, and competitive cost. Praziquantel-based chemotherapy has been involved in the global control strategy of the disease and led to the control strategy shifting from disease control to morbidity control, which has greatly reduced the prevalence and intensity of infections. Given that the drug has been widely used for morbidity control in endemic areas for more than three decades, the emergence of resistance of Schistosoma to praziquantel under drug selection pressure has been paid much attention. It is possible to induce resistance of Schistosoma mansoni and Schistosoma japonicum to praziquantel in mice under laboratorial conditions, and a reduced susceptibility to praziquantel in the field isolates of S. mansoni has been found in many foci. In addition, there are several schistosomiasis cases caused by Schistosoma haematobium infections in which repeated standard treatment fails to clear the infection. However, in the absence of exact mechanisms of action of praziquantel, the mechanisms of drug resistance in schistosomes remain unclear. The present review mainly demonstrates the evidence of drug resistance in the laboratory and field and the mechanism of praziquantel resistance and proposes some strategies for control of praziquantel resistance in schistosomes.
Collapse
Affiliation(s)
- Wei Wang
- Jiangsu Institute of Parasitic Diseases, 117 Yangxiang, Meiyuan, Wuxi City, Jiangsu Province 214064, People's Republic of China.
| | | | | |
Collapse
|
26
|
Chen JH, Wang H, Chen JX, Bergquist R, Tanner M, Utzinger J, Zhou XN. Frontiers of parasitology research in the People's Republic of China: infection, diagnosis, protection and surveillance. Parasit Vectors 2012; 5:221. [PMID: 23036110 PMCID: PMC3497869 DOI: 10.1186/1756-3305-5-221] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2012] [Accepted: 10/02/2012] [Indexed: 11/18/2022] Open
Abstract
Control and eventual elimination of human parasitic diseases in the People's Republic of China (P.R. China) requires novel approaches, particularly in the areas of diagnostics, mathematical modelling, monitoring, evaluation, surveillance and public health response. A comprehensive effort, involving the collaboration of 188 scientists (>85% from P.R. China) from 48 different institutions and universities (80% from P.R. China), covers this collection of 29 articles published in Parasites & Vectors. The research mainly stems from a research project entitled “Surveillance and diagnostic tools for major parasitic diseases in P.R. China” (grant no. 2008ZX10004-011) and highlights the frontiers of research in parasitology. The majority of articles in this thematic series deals with the most important parasitic diseases in P.R. China, emphasizing Schistosoma japonicum, Plasmodium vivax and Clonorchis sinensis plus some parasites of emerging importance such as Angiostrongylus cantonensis. Significant achievements have been made through the collaborative research programme in the following three fields: (i) development of strategies for the national control programme; (ii) updating the surveillance data of parasitic infections both in human and animals; and (iii) improvement of existing, and development of novel, diagnostic tools to detect parasitic infections. The progress is considerable and warrants broad validation efforts. Combined with the development of improved tools for diagnosis and surveillance, integrated and multi-pronged control strategies should now pave the way for elimination of parasitic diseases in P.R. China. Experiences and lessons learned can stimulate control and elimination efforts of parasitic diseases in other parts of the world.
Collapse
Affiliation(s)
- Jun-Hu Chen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, People's Republic of China
| | | | | | | | | | | | | |
Collapse
|