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Wang X, Xu W, Luo F, Lin K, Zhang T, Yao L, Zhang X, Zhang J, Auburn S, Wang D, Ruan W. Increasing incidence of Plasmodium ovale and persistent reporting of Plasmodium vivax in imported malaria cases: an analysis of 9-year surveillance data in four areas of China. Front Public Health 2023; 11:1203095. [PMID: 37448654 PMCID: PMC10338171 DOI: 10.3389/fpubh.2023.1203095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 05/16/2023] [Indexed: 07/15/2023] Open
Abstract
Background This study aimed at exploring the epidemiological pattern of imported malaria in China before malaria elimination in 2021, to provide evidence-based data for preventing malaria re-establishment in China. Methods Nine-year surveillance data on imported malaria in four provincial-level administrative divisions (PLADs) (Anhui, Chongqing, Guangxi, and Zhejiang) between 2011 and 2019 were thoroughly collected and analyzed. Results A quite stable trend in imported malaria cases between 2011 and 2019 was observed. In total, 6,064 imported patients were included. Plasmodium falciparum was the most frequently reported species (4,575, 75.6%). Cases of malaria were most frequently imported from Western Africa (54.4%). We identified an increasing trend in P. ovale and a persistence of P. vivax infections among the cases of malaria imported from Western Africa. Most patients (97.5%) were 20-50 years old. Among imported malaria infections, the main purposes for traveling abroad were labor export (4,914/6,064, 81.0%) and business trips (649, 10.7%). Most patients (2,008/6,064, 33.1%) first visited county-level medical institutions when they sought medical help in China. More patients were diagnosed within 3 days after visiting Centers for Disease Control and Prevention (CDCs) or entry-exit quarantine facilities (EQFs) (1,147/1609, 71.3%) than after visiting medical institutions (2,182/3993, 54.6%). Conclusion Imported malaria still poses a threat to the malaria-free status of China. County-level institutions are the primary targets in China to improve the sensitivity of the surveillance system and prevent the re-establishment of malaria. Health education should focus on exported labors, especially to Western and Central Africa. Increasing trend in P. ovale and persistence of P. vivax infections indicated their underestimations in Western Africa. Efficient diagnostic tools and sensitive monitoring systems are required to identify Plasmodium species in Africa.
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Affiliation(s)
- Xiaoxiao Wang
- Department of Infectious Diseases, Zhejiang Center of Disease Control and Prevention, Hangzhou, China
| | - Wenjie Xu
- Department of Infectious Diseases, Zhejiang Center of Disease Control and Prevention, Hangzhou, China
| | - Fei Luo
- Department of Endemic and Parasitic Diseases, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Kangming Lin
- Department of Infectious Diseases, Guangxi Center of Disease Control and Prevention, Nanning, China
| | - Tao Zhang
- Department of Infectious Diseases, Anhui Center of Disease Control and Prevention, Hefei, China
| | - Linong Yao
- Department of Infectious Diseases, Zhejiang Center of Disease Control and Prevention, Hangzhou, China
| | - Xuan Zhang
- Department of Infectious Diseases, Zhejiang Center of Disease Control and Prevention, Hangzhou, China
| | - Jiaqi Zhang
- Department of Infectious Diseases, Zhejiang Center of Disease Control and Prevention, Hangzhou, China
| | - Sarah Auburn
- Global and Tropical Health Division, Menzies School of Health Research and Charles Darwin University, Darwin, NT, Australia
- Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - Duoquan Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Ruan
- Department of Infectious Diseases, Zhejiang Center of Disease Control and Prevention, Hangzhou, China
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2
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Lin K, Wang S, Sui Y, Zhang T, Luo F, Shi F, Qian Y, Li J, Lu S, Cotter C, Wang D, Li S. Evaluation of an Innovative Point-of-Care Rapid Diagnostic Test for the Identification of Imported Malaria Parasites in China. Trop Med Infect Dis 2023; 8:296. [PMID: 37368714 DOI: 10.3390/tropicalmed8060296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 04/20/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND China was certified malaria-free by the World Health Organization on 30 June 2021. However, due to imported malaria, maintaining a malaria-free status in China is an ongoing challenge. There are critical gaps in the detection of imported malaria through the currently available tools, especially for non-falciparum malaria. In the study, a novel point-of-care Rapid Diagnostic Test designed for the detection of imported malaria infections was evaluated in the field. METHODS Suspected imported malaria cases reported from Guangxi and Anhui Provinces of China during 2018-2019 were enrolled to evaluate the novel RDTs. Diagnostic performance of the novel RDTs was evaluated based on its sensitivity, specificity, positive and negative predictive values, and Cohen's kappa coefficient, using polymerase chain reaction as the gold standard. The Additive and absolute Net Reclassification Index were calculated to compare the diagnostic performance between the novel RDTs and Wondfo RDTs (control group). RESULTS A total of 602 samples were tested using the novel RDTs. Compared to the results of PCR, the novel RDTs presented sensitivity, specificity, PPV, NPV, and diagnostic accuracy rates of 78.37%, 95.05%, 94.70%, 79.59%, and 86.21%, respectively. Among the positive samples, the novel RDTs found 87.01%, 71.31%, 81.82%, and 61.54% of P. falciparum, P. ovale, P. vivax, and P. malariae, respectively. The ability to detect non-falciparum malaria did not differ significantly between the novel and Wondfo RDTs (control group). However, Wondfo RDTs can detect more P. falciparum cases than the novel RDTs (96.10% vs. 87.01%, p < 0.001). After the introduction of the novel RDTs, the value of the additive and absolute Net Reclassification Index is 1.83% and 1.33%, respectively. CONCLUSIONS The novel RDTs demonstrated the ability to distinguish P. ovale and P. malariae from P. vivax which may help to improve the malaria post-elimination surveillance tools in China.
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Affiliation(s)
- Kangming Lin
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China
| | - Shuqi Wang
- Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, China
| | - Yuan Sui
- Brown School, Washington University, St. Louis, MO 63130, USA
| | - Tao Zhang
- Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, China
| | - Fei Luo
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
| | - Feng Shi
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Yingjun Qian
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Jun Li
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China
| | - Shenning Lu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Chris Cotter
- Malaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94109, USA
- Department of Women's and Children's Health, Uppsala University, 75309 Uppsala, Sweden
| | - Duoquan Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 201100, China
| | - Shizhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 201100, China
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3
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Maniga JN, Samuel M, John O, Rael M, Muchiri JN, Bwogo P, Martin O, Sankarapandian V, Wilberforce M, Albert O, Onkoba SK, Adebayo IA, Adeyemo RO, Akinola SA. Novel Plasmodium falciparum k13 gene polymorphisms from Kisii County, Kenya during an era of artemisinin-based combination therapy deployment. Malar J 2023; 22:87. [PMID: 36894982 PMCID: PMC9996564 DOI: 10.1186/s12936-023-04517-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 02/28/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Currently, chemotherapy stands out as the major malaria intervention strategy, however, anti-malarial resistance may hamper global elimination programs. Artemisinin-based combination therapy (ACT) stands as the drug of choice for the treatment of Plasmodium falciparum malaria. Plasmodium falciparum kelch13 gene mutations are associated with artemisinin resistance. Thus, this study was aimed at evaluating the circulation of P. falciparum k13 gene polymorphisms from Kisii County, Kenya during an era of ACT deployment. METHODS Participants suspected to have malaria were recruited. Plasmodium falciparum was confirmed using the microscopy method. Malaria-positive patients were treated with artemether-lumefantrine (AL). Blood from participants who tested positive for parasites after day 3 was kept on filter papers. DNA was extracted using chelex-suspension method. A nested polymerase chain reaction (PCR) was conducted and the second-round products were sequenced using the Sanger method. Sequenced products were analysed using DNAsp 5.10.01 software and then blasted on the NCBI for k13 propeller gene sequence identity using the Basic Local Alignment Search Tool (BLAST). To assess the selection pressure in P. falciparum parasite population, Tajima' D statistic and Fu & Li's D test in DnaSP software 5.10.01 was used. RESULTS Out of 275 enrolled participants, 231 completed the follow-up schedule. 13 (5.6%) had parasites on day 28 hence characterized for recrudescence. Out of the 13 samples suspected of recrudescence, 5 (38%) samples were positively amplified as P. falciparum, with polymorphisms in the k13-propeller gene detected. Polymorphisms detected in this study includes R539T, N458T, R561H, N431S and A671V, respectively. The sequences have been deposited in NCBI with bio-project number PRJNA885380 and accession numbers SAMN31087434, SAMN31087433, SAMN31087432, SAMN31087431 and SAMN31087430 respectively. CONCLUSIONS WHO validated polymorphisms in the k13-propeller gene previously reported to be associated with ACT resistance were not detected in the P. falciparum isolates from Kisii County, Kenya. However, some previously reported un-validated k13 resistant single nucleotide polymorphisms were reported in this study but with limited occurrences. The study has also reported new SNPs. More studies need to be carried out in the entire country to understand the association of reported mutations if any, with ACT resistance.
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Affiliation(s)
- Josephat Nyabayo Maniga
- Department of Medical Microbiology and Immunology, Kampala International University Western Campus, Bushenyi, Uganda.
| | | | - Odda John
- School of Pharmacy, Kampala International University Western Campus, Bushenyi, Uganda.,Department of Pharmacology and Therapeutics, Makerere University, Kampala, Uganda.,Department of Pharmacology and Toxicology, School of Medicine, King Caesor University, Kampala, Uganda
| | - Masai Rael
- Department of Biological Sciences, Kisii University, Kisii, Kenya
| | | | - Pacifica Bwogo
- Department of Biological Sciences, Kisii University, Kisii, Kenya
| | - Odoki Martin
- Department of Medical Microbiology and Immunology, Kampala International University Western Campus, Bushenyi, Uganda.,Department of Medical Microbiology and Immunology, School of Medicine, King Ceasor University, Kampala, Uganda.,Department of Applied Sciences, School of Sciences, Nkumba University, Entebbe, Uganda
| | - Vidya Sankarapandian
- Department of Medical Microbiology and Immunology, Kampala International University Western Campus, Bushenyi, Uganda
| | - Mfitundinda Wilberforce
- School of Pharmacy, Kampala International University Western Campus, Bushenyi, Uganda.,Department of Pharmacology and Toxicology, School of Medicine, King Caesor University, Kampala, Uganda
| | - Ochweri Albert
- School of Pharmacy, Kampala International University Western Campus, Bushenyi, Uganda
| | - Sarah Kemuma Onkoba
- Department of Medical Microbiology and Immunology, Kampala International University Western Campus, Bushenyi, Uganda
| | - Ismail Abiola Adebayo
- Department of Medical Biochemistry, Molecular Biology and Genetics, School of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Butare, Rwanda
| | - Rasheed Omotayo Adeyemo
- Department of Medical Microbiology and Parasitology, School of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Butare, Rwanda
| | - Saheed Adekunle Akinola
- Department of Medical Microbiology and Parasitology, School of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Butare, Rwanda
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4
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Abdalal SA, Yukich J, Andrinoplous K, Harakeh S, Altwaim SA, Gattan H, Carter B, Shammaky M, Niyazi HA, Alruhaili MH, Keating J. An insight to better understanding cross border malaria in Saudi Arabia. Malar J 2023; 22:37. [PMID: 36732819 PMCID: PMC9893606 DOI: 10.1186/s12936-023-04467-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 01/23/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Border malaria is a major obstacle for the malaria elimination in Saudi Arabia. Today, the southern border of Saudi Arabia is a region where malaria cases are resurging, and malaria control is dwindling mainly due to the humanitarian crisis and the conflict in Yemen. This study analyses the current border malaria epidemiology along the southern border of Saudi Arabia from 2015 to 2018. METHODS All reported cases maintained by the malaria elimination centres in Aledabi and Baish, Jazan Province, Saudi Arabia, from 2015 to 2018 were analysed to examine the epidemiological changes over time. Pearson's Chi-Square test of differences was utilized to assess differences between the characteristics of imported and local causes and between border cases. A logistic regression model was used to predict imported status was related to living along side of the border area. RESULTS A total of 3210 malaria cases were reported in Baish and Aledabi malaria centres between 2015 and 2018, of which 170 were classified as local cases and 3040 were classified as imported cases. Reported malaria cases were mainly among males, within the imported cases 61.5% (1868/3039) were residents of the border areas. CONCLUSIONS Given the complexity of cross-border malaria, creating a malaria buffer zone that covers a certain margin from both sides of the border would allow for a joint force, cross-border malaria elimination programme. To initiate a malaria elimination activity and cases reported as belonging to this zone, rather than being pushed from one country to the other, would allow malaria elimination staff to work collaboratively with local borderland residents and other stakeholders to come up with innovative solutions to combat malaria and reach malaria-free borders.
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Affiliation(s)
- Shaymaa A. Abdalal
- grid.412126.20000 0004 0607 9688Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University and King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Joshua Yukich
- grid.265219.b0000 0001 2217 8588Tulane University School of Public Health and Tropical Medicine, New Orleans, LA USA
| | - Katherine Andrinoplous
- grid.265219.b0000 0001 2217 8588Tulane University School of Public Health and Tropical Medicine, New Orleans, LA USA
| | - Steve Harakeh
- Saudi Arabia Ministry of Health, Jazan, Saudi Arabia
| | - Sarah A. Altwaim
- grid.412126.20000 0004 0607 9688Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University and King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Hattan Gattan
- grid.412125.10000 0001 0619 1117Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Brendan Carter
- grid.265219.b0000 0001 2217 8588Tulane University School of Public Health and Tropical Medicine, New Orleans, LA USA
| | | | - Hatoon A. Niyazi
- grid.412126.20000 0004 0607 9688Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University and King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Mohammed H. Alruhaili
- grid.412126.20000 0004 0607 9688Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University and King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Joseph Keating
- grid.265219.b0000 0001 2217 8588Tulane University School of Public Health and Tropical Medicine, New Orleans, LA USA
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5
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Zhang T, Wang D, Qian Y, Ruan W, Liu Y, Xia J, Yan H, Sui Y, Lu S, Xu X, Jiang J, Lyu X, Wang S, Li S, Li W. Profile and determinants of delayed care-seeking and diagnosis among patients with imported malaria: a retrospective study in China, 2014-2021. Infect Dis Poverty 2022; 11:125. [PMID: 36550586 PMCID: PMC9773583 DOI: 10.1186/s40249-022-01050-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND In areas where malaria has been eliminated, delayed care-seeking and diagnosis of imported malaria are constant threats. This study aimed to describe the profile and determinants of delayed care-seeking and diagnosis among patients with imported malaria in China. METHODS This retrospective study assessed surveillance data obtained from 2014 to 2021 in the Chinese provincial-level administrative divisions (PLADs) of Anhui, Henan, Hubei, and Zhejiang, and Guangxi. Epidemiological characteristics were analyzed using descriptive statistics. Furthermore, factors associated with delayed care-seeking and diagnosis among imported malaria cases were identified using multivariate logistic regression. RESULTS Overall, 11.81% and 30.08% of imported malaria cases had delays in seeking care and diagnosis, respectively. During the study period, there was a decreasing trend in the proportion of imported malaria cases with delayed care-seeking (χ2 = 36.099, P < 0.001) and diagnosis (χ2 = 11.395, P = 0.001). In multivariate analysis, independent risk factors associated with delayed care-seeking include PLADs (Guangxi as reference), consultations in high-level facilities for the first medical visit, infections with non-Plasmodium falciparum species, and older age. However, PLADs (Guangxi as reference), the purpose of traveling (labour as reference), and infections with non-P. falciparum species increased the risk of delayed diagnosis. Delayed care-seeking (adjusted odds ratio: 1.79, P = 0.001) and diagnosis (adjusted odds ratio: 1.62, P = 0.004) were risk factors for severe disease development. CONCLUSIONS Based on this study's findings, we strongly advocate for improved access to quality healthcare to reduce the rate of misdiagnosis at the first visit. Infections caused by non-P. falciparum species should be highlighted, and more sensitive and specific point-of-care detection methods for non-P. falciparum species should be developed and implemented. In addition, education programs should be enhanced to reach target populations at risk of malaria infection. All these factors may reduce delayed care-seeking and diagnosis of imported malaria.
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Affiliation(s)
- Tao Zhang
- grid.410620.10000 0004 1757 8298Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601 China
| | - Duoquan Wang
- grid.508378.1National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025 China ,grid.16821.3c0000 0004 0368 8293School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Yingjun Qian
- grid.508378.1National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025 China
| | - Wei Ruan
- grid.433871.aZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Ying Liu
- grid.418504.cHenan Provincial Center for Disease Control and Prevention, Zhengzhou, 450016 China
| | - Jing Xia
- grid.508373.a0000 0004 6055 4363Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079 China
| | - Hui Yan
- grid.418332.fGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028 China
| | - Yuan Sui
- grid.4367.60000 0001 2355 7002Brown School, Washington University, St. Louis, MO USA
| | - Shenning Lu
- grid.508378.1National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025 China
| | - Xian Xu
- grid.410620.10000 0004 1757 8298Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601 China
| | - Jingjing Jiang
- grid.410620.10000 0004 1757 8298Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601 China
| | - Xiaofeng Lyu
- grid.410620.10000 0004 1757 8298Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601 China
| | - Shuqi Wang
- grid.410620.10000 0004 1757 8298Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601 China
| | - Shizhu Li
- grid.508378.1National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025 China ,grid.16821.3c0000 0004 0368 8293School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Weidong Li
- grid.410620.10000 0004 1757 8298Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601 China
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6
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The malaria transmission in Anhui province China. Infect Dis Model 2022; 8:1-10. [PMID: 36582746 PMCID: PMC9764179 DOI: 10.1016/j.idm.2022.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/22/2022] [Indexed: 11/28/2022] Open
Abstract
Plasmodium vivax and Plasmodium falciparum cases have opposite trends in Anhui China in the past decade. Long term and seasonal trends in the transmission rate of P. falciparum in Africa has been well studied, however that of P. vivax transmitted by Anopheles sinensis in China has not been investigated. There is a lot of work on the relationship between P. vivax cases and climatic factors in China, with sometimes contradicting results. However, how climatic factors affect transmission rate of P. vivax in China is unknown. We used Anhui province as an example to analyze the recent transmission dynamics where two types of malaria have been reported with differing etiologies. We examined breakpoints of the P. vivax and P. falciparum malaria long term dynamics in the recent decade. For locally transmitted P. vivax malaria, we analyzed the transmission rate and its seasonality using the combined human and mosquitos SIR-SI model with time-varied mosquito biting rate. We identified the effects of meteorological factors on the seasonality in transmission rate using a GAM model. For the imported P. falciparum malaria, we analyzed the potential reason for the observed increase in cases. The breakpoints of P. vivax and P. falciparum dynamics happened in a same year, 2010. The seasonality in the transmission rate of P. vivax malaria was high (42.4%) and was linearly associated with temperature and nonlinearly with rainfall. The abrupt increase in imported P. falciparum cases after the breakpoint was significantly related to the increased annual Chinese investment in Africa. Under the conditions of the existing vectors of malaria, long-term trends in climatic factors, and increasing trend in migration to/from endemic areas and imported malaria cases, we should be cautious of the possibility of the reestablishment of malaria in regions where it has been eliminated or the establishment of other vector-borne diseases.
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7
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Mahittikorn A, Mala W, Wilairatana P, Siri S, Masangkay FR, Kotepui KU, Kotepui M. Prevalence, anti-malarial chemoprophylaxis and causes of deaths for severe imported malaria: A systematic review and meta-analysis. Travel Med Infect Dis 2022; 49:102408. [PMID: 35985533 DOI: 10.1016/j.tmaid.2022.102408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/16/2022] [Accepted: 07/25/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND There are limited data regarding prevalence, anti-malarial chemoprophylaxis, and causes of death for severe imported malaria. Thus, we conducted a systematic review and meta-analysis to characterise these variables. METHODS We searched studies reporting deaths attributable to severe imported malaria. The following pooled prevalence rates were determined: 1) the pooled prevalence of severe malaria among patients with imported malaria, 2) the pooled prevalence of deaths among patients with severe imported malaria, 3) the pooled prevalence of anti-malarial chemoprophylaxis among patients with severe imported malaria, and 4) the causes of death among patients with severe imported malaria. RESULTS The search identified 52 studies that were mainly conducted in Europe (25, 48.1%), North America (16, 30.8%) and Asia (7, 13.5%). The pooled prevalence of severe imported malaria was 12.5% (95% confidence interval [CI] = 10.3%-14.6%, I2 = 99.32%, 12393 severe cases/118325 imported cases). The pooled prevalence of deaths attributable to severe imported malaria was 5.1% (95% CI = 4.0%-6.2%, I2 = 91.72%, 721 deaths/16310 severe cases). The pooled prevalence of adequate anti-malarial chemoprophylaxis among patients with severe imported malaria was 9.7% (95% CI = 6.5%-13.0%, I2 = 89.9%, 203/2049 cases). The most common cause of death was multi-organ failure (12.3%). CONCLUSION The results highlighted the need for education and preventative measures for travellers, immigrants, or workers who plan to visit malaria-endemic areas to minimize the risk of severe disease or death.
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Affiliation(s)
- Aongart Mahittikorn
- Department of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
| | - Wanida Mala
- Medical Technology, School of Allied Health Sciences, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand.
| | - Polrat Wilairatana
- Department of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
| | - Sukhontha Siri
- Department of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
| | | | - Kwuntida Uthaisar Kotepui
- Medical Technology, School of Allied Health Sciences, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand.
| | - Manas Kotepui
- Medical Technology, School of Allied Health Sciences, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand.
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8
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Lu S, Huang L, Duan L, Xu Q, Ma X, Ding W, Wang D, Lv S, Xiao N. Role of international network on surveillance and response system leading to malaria elimination: China's engagement in global health. Infect Dis Poverty 2022; 11:64. [PMID: 35659108 PMCID: PMC9166191 DOI: 10.1186/s40249-022-00991-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 05/20/2022] [Indexed: 12/02/2022] Open
Abstract
China has accumulated multiple practices and experiences in building and enhancing malaria surveillance and response system. As China’s engagement into global health has gathered stronger momentum than ever, China together with the Swiss Tropical and Public Health Institute and WHO has organised five sessions of the International Forum on Surveillance-Response System Leading to Tropical Diseases Elimination during 2012–2020, in which malaria elimination has always been one of the hottest topics. In this study, the roles of international network on the surveillance and response system were explored to achieve a global malaria-free goal. China’s approach to malaria elimination has demonstrated significance of global collaboration on taking joint prevention and control, and building a worldwide institutional-based network.
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Affiliation(s)
- Shenning Lu
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
| | - Lulu Huang
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
| | - Lei Duan
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China.,State Key Laboratory of Genetic Engineering, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Infectious Diseases, School of Life Science, Huashan Hospital, Fudan University, Shanghai, 200433, China
| | - Qiuli Xu
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China.,Pudong New Area Center for Disease Control and Prevention and Pudong Institute of Preventive Medicine, Fudan University, Pudong New Area, Shanghai, 200136, China
| | - Xuejiao Ma
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
| | - Wei Ding
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
| | - Duoquan Wang
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China.,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Shan Lv
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China.,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ning Xiao
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China. .,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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9
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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. ADVANCES IN PARASITOLOGY 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] [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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10
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Li G, Zhang D, Chen Z, Feng D, Cai X, Chen X, Tang S, Feng Z. Risk factors for the accuracy of the initial diagnosis of malaria cases in China: a decision-tree modelling approach. Malar J 2022; 21:11. [PMID: 34991610 PMCID: PMC8740495 DOI: 10.1186/s12936-021-04006-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 12/03/2021] [Indexed: 11/16/2022] Open
Abstract
Background Early accurate diagnosis and risk assessment for malaria are crucial for improving patients’ terminal prognosis and preventing them from progressing to a severe or critical stage. This study aims to describe the accuracy of the initial diagnosis of malaria cases with different characteristics and the factors that affect the accuracy in the context of the agenda for a world free of malaria. Methods A retrospective study was conducted on 494 patients admitted to hospitals with a diagnosis of malaria from January 2014 through December 2016. Descriptive statistics were calculated, and decision tree analysis was performed to predict the probability of patients who may be misdiagnosed. Results Of the 494 patients included in this study, the proportions of patients seeking care in county-level, prefecture-level and provincial-level hospitals were 27.5% (n = 136), 26.3% (n = 130) and 8.3% (n = 41), respectively; the proportions of patients seeking care in clinic, township health centre and Centres for Disease Control and Prevention were 25.9% (n = 128), 4.1% (n = 20), and 7.9% (n = 39), respectively. Nearly 60% of malaria patients were misdiagnosed on their first visit, and 18.8% had complications. The median time from onset to the first visit was 2 days (IQR: 0-3 days), and the median time from the first visit to diagnosis was 3 days (IQR: 0–4 days). The decision tree classification of malaria patients being misdiagnosed consisted of six categorical variables: healthcare facilities for the initial diagnosis, time interval between onset and initial diagnosis, region, residence type, insurance status, and age. Conclusions Insufficient diagnostic capacity of healthcare facilities with lower administrative levels for the first visit was the most important risk factor in misdiagnosing patients. To reduce diagnostic errors, clinicians, government decision-makers and communities should consider strengthening the primary care facilities, the time interval between onset and initial diagnosis, residence type, and health insurance status.
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Affiliation(s)
- Gang Li
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Donglan Zhang
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA
| | - Zhuo Chen
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA.,School of Economics, University of Nottingham Ningbo China, Ningbo, 531200, Zhejiang, China
| | - Da Feng
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xinyan Cai
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, 30602, USA
| | - Xiaoyu Chen
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.
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11
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Liu W, Hu W, Dong Z, You X. Travel-related infection in Guangzhou, China,2009-2019. Travel Med Infect Dis 2021; 43:102106. [PMID: 34116241 DOI: 10.1016/j.tmaid.2021.102106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 06/01/2021] [Accepted: 06/04/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND We analyzed the epidemiological characteristics of travel-related infectious diseases in reported Guangzhou between 2009 and 2019 to provide a scientific basis for prevention and control strategies. METHOD The infectious diseases report information system of China was mined for case reports, combined with clinical diagnosis records, and analyzed. RESULTS Between 2009 and 2019, 1478 cases of imported infectious diseases were reported in Guangzhou. Dengue fever accounted for 46.14%of cases and malaria accounted for 45.47% of cases. The patients with imported travel-related infection cases were mainly male (75.88%), Chinese (75.57%), and aged 20-45 years (83.01%). Cases increased from May each year, peaked between August and September, and declined rapidly after October. The main source areas of import were Africa and other countries in Asia. CONCLUSIONS Dengue fever and malaria are the main travel-related infection in Guangzhou, and are generally brought in by male Chinese workers. Intervention and health education in this population should be strengthened to prevent and control travel-related infection.
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Affiliation(s)
- Weisi Liu
- Guangzhou Center for Disease Control and Prevention, China.
| | - Wensui Hu
- Guangzhou Center for Disease Control and Prevention, China
| | - Zhiqiang Dong
- Guangzhou Center for Disease Control and Prevention, China
| | - Xiaojin You
- Guangzhou Center for Disease Control and Prevention, China
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12
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Dai S, Zhu M, Wu H, Zhang Y, Wang Z, Zhang C, Ma X, Jiang L. From malaria elimination to post-elimination: a 10-year surveillance data study in Shanghai. Malar J 2021; 20:199. [PMID: 33902612 PMCID: PMC8074350 DOI: 10.1186/s12936-021-03691-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 03/06/2021] [Indexed: 11/25/2022] Open
Abstract
Background The aim of this study was to investigate and analyse the characteristics of malaria in Shanghai from 2010 to 2019 and to provide suggestions for areas with a similar elimination process in China in order to prompt development of strategies and interventions in the post-elimination stage. Methods This was a cross-sectional study exploring the malaria characteristics during 2010–2019 in Shanghai, China. Malaria data from the Infectious Diseases Information Reporting Management System (IDIRMS) between 2010 and 2012 and data from the Parasitic Diseases Information Reporting Management System (PDIRMS) between 2013 and 2019 were combined for analysis in this study. Results From 2010 to 2019, a total of 436 malaria cases were reported in Shanghai. Among them, 415 (95.18%) were imported from abroad, 19 (4.36%) were domestically acquired from other provinces, 1 (0.23%) case was caused by blood transfusion, and 1 (0.23%) had a long incubation. Only Plasmodium vivax was found in domestically indigenous cases; Plasmodium falciparum accounted for the largest proportion of imported cases. Domestically acquired cases were only reported in 2010–2011 and 88% occurred in June to September; no significant seasonal difference was observed for imported cases over the 10 years. No local transmission has occurred in Shanghai since 2012. The median interval from fever onset to diagnosis was 3 days. Between 2010 and 2019, among 308 foci, 33 were classified as potential transmission and dispersed in suburb areas (Minhang, Baoshan, Jiading, Pudong, Jinshan, Songjiang, Qingpu, Fengxian, and Chongming). Only Anopheles sinensis was present and the proportion of Anopheles sinensis in different species of mosquitoes under surveillance in Shanghai decreased from 2011 to 2019. Conclusions Shanghai faces the challenge of malaria re-establishment caused by imported malaria in the post-elimination stage. Therefore, risk investigation and assessment should be carried out, and receptivity and susceptibility should be assessed for every point of focus. Training should be continued to strengthen facility staff capability, and multisectoral coordination and cooperation need to be conducted efficiently to maintain malaria elimination in Shanghai.
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Affiliation(s)
- Simin Dai
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Min Zhu
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China.
| | - Huanyu Wu
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Yaoguang Zhang
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Zhenyu Wang
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Chengang Zhang
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Xiaojiang Ma
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Li Jiang
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
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13
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Xie Y, Wu K, Cheng W, Jiang T, Yao Y, Xu M, Yang Y, Tan H, Li J. Molecular epidemiological surveillance of Africa and Asia imported malaria in Wuhan, Central China: comparison of diagnostic tools during 2011-2018. Malar J 2020; 19:321. [PMID: 32883296 PMCID: PMC7470674 DOI: 10.1186/s12936-020-03387-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 08/25/2020] [Indexed: 01/17/2023] Open
Abstract
Background Malaria remains a serious public health problem globally. As the elimination of indigenous malaria continues in China, imported malaria has gradually become a major health hazard. Well-timed and accurate diagnoses could support the timely implementation of therapeutic schedules, reveal the prevalence of imported malaria and avoid transmission of the disease. Methods Blood samples were collected in Wuhan, China, from August 2011 to December 2018. All patients accepted microscopy and rapid diagnosis test (RDT) examinations. Subsequently, each of the positive or suspected positive cases was tested for four human-infectious Plasmodium species by using 18S rRNA-based nested PCR and Taqman probe-based real-time PCR. The results of the microscopy and the two molecular diagnostic methods were analysed. Importation origins were traced by country, and the prevalence of Plasmodium species was analysed by year. Results A total of 296 blood samples, including 288 that were microscopy and RDT positive, 7 RDT and Plasmodium falciparum positive, and 1 suspected case, were collected and reanalysed. After application of the two molecular methods and sequencing, 291 cases including 245 P. falciparum, 15 Plasmodium vivax, 20 Plasmodium ovale, 6 Plasmodium malariae and 5 mixed infections (3 P. falciparum + P. ovale, 2 P. vivax + P. ovale) were confirmed. These patients had returned from Africa (95.53%) and Asia (4.47%). Although the prevalence displayed a small-scale fluctuation, the overall trend of the imported cases increased yearly. Conclusions These results emphasize the necessity of combined utilization of the four tools for malaria diagnosis in clinic and in field surveys of potential risk regions worldwide including Wuhan.
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Affiliation(s)
- Yiting Xie
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.,Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China
| | - Kai Wu
- Department of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, 430015, People's Republic of China
| | - Weijia Cheng
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.,Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China
| | - Tingting Jiang
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.,Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China
| | - Yi Yao
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.,Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China
| | - Mingxing Xu
- Department of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, 430015, People's Republic of China
| | - Yan Yang
- Department of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, 430015, People's Republic of China
| | - Huabing Tan
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.,Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China
| | - Jian Li
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, People's Republic of China. .,Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.
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14
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Martins JF, Marques C, Nieto-Andrade B, Kelley J, Patel D, Nace D, Herman C, Barratt J, Ponce de León G, Talundzic E, Rogier E, Halsey ES, Plucinski MM. Malaria Risk and Prevention in Asian Migrants to Angola. Am J Trop Med Hyg 2020; 103:1918-1926. [PMID: 32815500 DOI: 10.4269/ajtmh.20-0706] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The number of Asian migrants working in sub-Saharan developing countries like Angola has been increasing. Their malaria risk, prevention, and care-seeking practices have not been characterized. A cross-sectional survey was conducted in 733 Chinese and Southeast Asian migrants in Angola. Respondents were interviewed and provided blood samples. Samples were analyzed to detect Plasmodium antigen and characterize host anti-Plasmodium response. Positive samples were genotyped using the pfs47 marker. Most respondents (72%; 95% CI: 68-75) reported using bed nets, but less than 1% reported using chemoprophylaxis. Depending on the assay, 1-4% of respondents had evidence of active malaria infection. By contrast, 55% (95% CI: 52-59) were seropositive for Plasmodium antibodies. Most infections were Plasmodium falciparum, but infection and/or exposure to Plasmodium vivax and Plasmodium malariae was also detected. Seroprevalence by time in Angola showed most exposure occurred locally. One respondent had sufficiently high parasitemia for pfs47 genotyping, which showed that the infection was likely locally acquired despite recent travel to home country. Asian migrants to Angola are at substantial risk of malaria. Employers should consider enhanced malaria prevention programs, including chemoprophylaxis; embassies should encourage prevention practices. Angolan healthcare workers should be aware of high malaria exposure in Asian migrants.
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Affiliation(s)
| | | | | | - Julia Kelley
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Dhruviben Patel
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Doug Nace
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Camelia Herman
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Joel Barratt
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Gabriel Ponce de León
- U.S. President's Malaria Initiative, Centers for Disease Control and Prevention, Atlanta, Georgia.,Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Eldin Talundzic
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Eric Rogier
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Eric S Halsey
- U.S. President's Malaria Initiative, Centers for Disease Control and Prevention, Atlanta, Georgia.,Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mateusz M Plucinski
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia.,U.S. President's Malaria Initiative, Centers for Disease Control and Prevention, Atlanta, Georgia
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15
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Xia J, Wu D, Wu K, Zhu H, Sun L, Lin W, Li K, Zhang J, Wan L, Zhang H, Liu S. Epidemiology of Plasmodium falciparum Malaria and Risk Factors for Severe Disease in Hubei Province, China. Am J Trop Med Hyg 2020; 103:1534-1539. [PMID: 32700677 DOI: 10.4269/ajtmh.20-0299] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
This study aimed to describe the epidemiology of Plasmodium falciparum malaria and identify risk factors for severe disease in Hubei Province, China, using a case-based survey of retrospective data from 2013 to 2018. From 2013 to 2018, a total of 763 imported malaria cases were reported in Hubei Province; 69.2% (528/763) cases were caused by P. falciparum species. The proportion of malaria caused by P. falciparum increased from 66.7% in 2013 to 74.0% in 2018 (χ2 = 21.378, P < 0.05). Plasmodium falciparum malaria was reported in 77 counties of Hubei Province. The majority of imported P. falciparum cases originated from Africa (98.9%, 522/528); 9.7% (51/528) of patients infected with P. falciparum developed severe malaria. Three deaths (case fatality rate: 0.6%) were related to imported P. falciparum malaria. Risk factors for severe malaria were being female (odds ratio [OR] = 3.593, 95% CI: 1.003-12.874), age ≥ 50 years (OR = 2.674, 95% CI: 1.269-5.634), > 3 days between symptom onset and diagnosis (OR = 2.383, 95% CI: 1.210-4.693), and the first-visit medical institution at the township level or lower (OR = 2.568, 95% CI: 1.344-4.908). Malaria prevention should be undertaken among high-risk groups, infection with P. falciparum should be detected early to prevent severe disease and death, and healthcare providers in health facilities at the township level should be trained on early recognition of malaria.
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Affiliation(s)
- Jing Xia
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Dongni Wu
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Kai Wu
- Department of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, China
| | - Hong Zhu
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Lingcong Sun
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Wen Lin
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Kaijie Li
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Juan Zhang
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Lun Wan
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Huaxun Zhang
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Si Liu
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
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16
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Xiao N, Li SZ, Qian MB, Xia ZG, Yu Q, Liu Q, Lv S, Zhou XN. Contribution of NIPD-CTDR to the parasitic diseases control and elimination in China: Memory of the 70th anniversary for NIPD-CTDR. ADVANCES IN PARASITOLOGY 2020; 110:401-427. [PMID: 32563333 DOI: 10.1016/bs.apar.2020.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
China has achieved a great success in control and elimination of key parasitic diseases. In 2007, the elimination of lymphatic filariasis was verified by WHO. The schistosomiasis incidence and snail-distributed areas have reduced to the lowest level in the history. The transmission and disease burden of echinococcosis have been contained largely, and the populations infected with soil-transmitted trematode and food-borne parasites have also shown a significantly declining trend. Because of rapid globalization and climate changes, however, many new challenges have arisen. In his paper, the 2020-2030 roadmaps towards the control and elimination of these key parasitic diseases are described. Moreover, China is actively implementing its global health strategy, and will be more and more engaged into global health affairs, in which a series of China-Africa health cooperation projects have been in planning with a wish of making a greater contribution to the SDGs.
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Affiliation(s)
- Ning Xiao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China.
| | - Shi-Zhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Men-Bao Qian
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Zhi-Gui Xia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Qing Yu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Qin Liu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Shan Lv
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China.
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Zhao X, Thanapongtharm W, Lawawirojwong S, Wei C, Tang Y, Zhou Y, Sun X, Sattabongkot J, Kaewkungwal J. Spatiotemporal Trends of Malaria in Relation to Economic Development and Cross-Border Movement along the China-Myanmar Border in Yunnan Province. THE KOREAN JOURNAL OF PARASITOLOGY 2020; 58:267-278. [PMID: 32615740 PMCID: PMC7338897 DOI: 10.3347/kjp.2020.58.3.267] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 03/02/2020] [Accepted: 04/06/2020] [Indexed: 12/01/2022]
Abstract
The heterogeneity and complexity of malaria involves political and natural environments, socioeconomic development, cross-border movement, and vector biology; factors that cannot be changed in a short time. This study aimed to assess the impact of economic growth and cross-border movement, toward elimination of malaria in Yunnan Province during its pre-elimination phase. Malaria data during 2011-2016 were extracted from 18 counties of Yunnan and from 7 villages, 11 displaced person camps of the Kachin Special Region II of Myanmar. Data of per-capita gross domestic product (GDP) were obtained from Yunnan Bureau of Statistics. Data were analyzed and mapped to determine spatiotemporal heterogeneity at county and village levels. There were a total 2,117 malaria cases with 85.2% imported cases; most imported cases came from Myanmar (78.5%). Along the demarcation line, malaria incidence rates in villages/camps in Myanmar were significantly higher than those of the neighboring villages in China. The spatial and temporal trends suggested that increasing per-capita GDP may have an indirect effect on the reduction of malaria cases when observed at macro level; however, malaria persists owing to complex, multi-faceted factors including poverty at individual level and cross-border movement of the workforce. In moving toward malaria elimination, despite economic growth, cooperative efforts with neighboring countries are critical to interrupt local transmission and prevent reintroduction of malaria via imported cases. Cross-border workers should be educated in preventive measures through effective behavior change communication, and investment is needed in active surveillance systems and novel diagnostic and treatment services during the elimination phase.
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Affiliation(s)
- Xiaotao Zhao
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Yunnan Institute of Parasitic Diseases, Puer, Yunnan, China
| | - Weerapong Thanapongtharm
- Veterinary Epidemiological Center, Bureau of Disease Control and Veterinary Services, Department of Livestock Development, Bangkok, Thailand
| | - Siam Lawawirojwong
- Geo-Informatics and Space Technology Development Agency, Bangkok, Thailand
| | - Chun Wei
- Yunnan Institute of Parasitic Diseases, Puer, Yunnan, China
| | - Yerong Tang
- Yunnan Institute of Parasitic Diseases, Puer, Yunnan, China
| | - Yaowu Zhou
- Yunnan Institute of Parasitic Diseases, Puer, Yunnan, China
| | - Xiaodong Sun
- Yunnan Institute of Parasitic Diseases, Puer, Yunnan, China
| | - Jestumon Sattabongkot
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Jaranit Kaewkungwal
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
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Genetic diversity and immunogenicity analysis of 6-cysteine protein family members in Plasmodium ovale curtisi importess from Africa to China: P12, P38 and P41. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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19
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Yu T, Fu Y, Kong X, Liu X, Yan G, Wang Y. Epidemiological characteristics of imported malaria in Shandong Province, China, from 2012 to 2017. Sci Rep 2020; 10:7568. [PMID: 32371895 PMCID: PMC7200687 DOI: 10.1038/s41598-020-64593-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 04/09/2020] [Indexed: 01/19/2023] Open
Abstract
Shandong Province, China, has been implementing a malaria elimination program. In this study, we analyzed the epidemiological characteristics of malaria imported into Shandong Province between 2012 and 2017 to provide scientific data for the elimination of malaria. In this epidemiological study, we examined the status of malaria in 2012–2017 in Shandong Province, China. Data on all cases of malaria were collected from the online Infection Diseases Monitor Information System to describe and statistically analyze the sources of infection, species of parasite, populations affected, regional distributions, incidence, and temporal distributions of malaria. In total, 1053 cases of malaria were reported in 2012–2017, and all of them were imported. Plasmodium falciparum was the predominant species (77.6%) in Shandong Province; P. vivax malaria accounted for 10.9% of the total number of cases, P. ovale malaria for 2.9%, and P. malariae malaria for 8.2%. Most patients were male (96.8%), most were aged 21–50 years (87.2%), and migrant laborers (77.2%) and workers (6.6%) were at highest risk. The origin of the largest number of imported cases was Africa (93.4%), followed by Asia (5.9%) and Oceania (0.4%). Most cases of imported malaria occurred in June each year and 70% of cases were recorded in six cities during the period of 2012–2017. It is necessary to strengthen malaria surveillance among workers returning home from Africa and Southeast Asia, and to conduct timely blood tests to diagnose and treat imported infections.
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Affiliation(s)
- Tao Yu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China.
| | - Yuguang Fu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Xiangli Kong
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Xin Liu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Ge Yan
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Yongbin Wang
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
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20
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Li W, Zhang T, Xu X, Jiang J, Yu C, Tian C, Wang S, Lyu X, Liu Z. Problems Associated with the Diagnosis of Imported Malaria in Anhui Province, China. Am J Trop Med Hyg 2020; 102:142-146. [PMID: 31701862 DOI: 10.4269/ajtmh.19-0471] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Imported malaria in Anhui Province, China, remains a significant public health issue with frequent reporting of severe and fatal cases, partly because of globalization and increased international communication. A retrospective evaluation using surveillance data from 2012 to 2018 was conducted to draw lessons on diagnosis of imported malaria. Epidemiological characteristics, together with diagnostic information, were analyzed using descriptive and comparative statistics. Simultaneously, blinded rechecking of malaria blood slides was performed at general hospitals in Anhui Province in 2018. The results showed that, in their first medical visits, 238 (28.2%) of 844 imported cases were not correctly diagnosed. Notably, the proportion of patients who were misdiagnosed at the first clinic visit was 104/120 (86.7%) at private and village clinics, and 41/81 (50.6%) at primary hospitals. The species identification rates for Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, and Plasmodium malariae were 85.2%, 66.7%, 23.2%, and 32.3% (χ2 = 224, P < 0.001), respectively. Nearly 7% of cases lacked laboratory evidence and were classified as presumed cases. Our findings suggest that physicians and health care providers, especially those at the primary level, lacked the awareness of diagnosing imported malaria. The training of physicians in malaria diagnosis needs to be enhanced. In addition, polymerase chain reactions (previously only carried out at the provincial level) should be performed at municipal CDC for rapid species identification, thereby guiding clinical treatment.
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Affiliation(s)
- Weidong Li
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Tao Zhang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Xian Xu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Jingjing Jiang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Chen Yu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Cuicui Tian
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Shuqi Wang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Xiaofeng Lyu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Zhirong Liu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
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21
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Li G, Zhang D, Chen Z, Feng D, Chen X, Tang S, Son H, Wang Z, Xi Y, Feng Z. Distribution of malaria patients seeking care in different types of health facilities during the implementation of National Malaria Elimination Programme. Malar J 2020; 19:131. [PMID: 32228594 PMCID: PMC7106820 DOI: 10.1186/s12936-020-03205-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 03/23/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND China launched the National Malaria Elimination Programme (NMEP) in 2010 and set the goal that all health facilities should be able to diagnose malaria. Additionally, hospitals at all levels could treat malaria by 2015. To provide a reference for the control of imported malaria, a study was conducted on the distribution of malaria patients seeking care in different types of health facilities. METHODS There were two data sources. One was obtained through the Infectious Diseases Information Reporting Management System (IDIRMS), which only contained the name of health facilities and the number of cases. The other was obtained through multistage stratified cluster sampling. Descriptive statistical analysis was used to investigate the distribution of malaria patients attending different types of health facilities (hospitals, township hospitals, and Centers for Disease Control and Prevention), hospital tiers (county-level, prefecture-level, and provincial-level), and hospital levels (primary, secondary, and tertiary). Chi-square test was also used to compare the proportions of patients seeking care outside their current residence region between different types of hospitals. Point maps were drawn to visualize the spatial distribution of hospitals reporting malaria cases, and flow maps were created to show the spatial flow of malaria patients by using the ArcGIS software. RESULTS The proportions of malaria patients who sought care in hospitals, township hospitals, and Centers for Disease Control and Prevention were 81.7%, 14.7%, and 3.6%, respectively. For those who sought care in hospitals, the percentages of patients who sought care in provincial-level, prefecture-level and county-level hospitals were 17.4%, 60.5% and 22.1%, correspondingly; the proportions of patients who sought care in tertiary hospitals, secondary hospitals, and primary hospitals were 59.8%, 39.9%, and 0.3%, respectively. Moreover, the proportions of patients seeking care in hospitals within county and prefectural administrative areas were 18.2%, 63.4%, respectively. CONCLUSION During the implementation of NMEP, malaria patients tended to seek care in tertiary hospitals and prefecture-level hospitals, and more than half of patients could be treated in hospitals in prefecture-level areas. In the current phase, it is necessary to establish referral system from county-level hospitals to higher-level hospitals for malaria treatment.
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Affiliation(s)
- Gang Li
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Donglan Zhang
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA
| | - Zhuo Chen
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA.,School of Economics, University of Nottingham Ningbo China, Ningbo, 531200, Zhejiang, China
| | - Da Feng
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xiaoyu Chen
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Heejung Son
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA
| | - Zhenhua Wang
- Department of Mathematics, University of Georgia, Athens, GA, 30602, USA
| | - Yuanhang Xi
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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22
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Wang XL, Cao JB, Li DD, Guo DX, Zhang CD, Wang X, Li DK, Zhao QL, Huang XW, Zhang WD. Management of imported malaria cases and healthcare institutions in central China, 2012-2017: application of decision tree analysis. Malar J 2019; 18:429. [PMID: 31852503 PMCID: PMC6921536 DOI: 10.1186/s12936-019-3065-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 12/08/2019] [Indexed: 02/06/2023] Open
Abstract
Background Imported malaria has been an important challenge for China. Fatality rates from malaria increased in China, particularly in Henan Province, primarily due to malpractice and misdiagnoses in healthcare institutions, and the level of imported malaria. This study aims to investigate the relationship between the state of diagnosis and subsequent complications among imported malaria cases at healthcare institutions, based on malaria surveillance data in Henan Province from 2012 to 2017. Methods A retrospective descriptive analysis was performed using data from the Centre for Disease Control and Prevention, Zhengzhou City, the capital of Henan Province. A decision tree method was exploited to provide valuable insight into the correlation between imported malaria cases and healthcare institutions. Results From 2012 to 2017, there were 371 imported malaria cases, mostly in males aged between 20 and 50 years, including 319 Plasmodium falciparum cases. First visits of 32.3%, 19.9% and 15.9% malaria cases for treatment were to provincial, municipal and county healthcare institutions, respectively. The time interval between onset and initial diagnosis of 284 cases (76.5%) and the time interval between initial diagnosis and final diagnosis of 197 cases (53.1%) was no more than 72 h. An apparent trend was found that there were notably fewer patients misdiagnosed at first visit to healthcare institutions of a higher administrative level; 12.5% of cases were misdiagnosed in provincial healthcare institutions compared to 98.2% in private clinics, leading to fewer complications at healthcare institutions of higher administrative level due to correct initial diagnosis. In the tree model, the rank of healthcare facilities for initial diagnosis, and number of days between onset and initial diagnosis, made a major contribution to the classification of initial diagnosis, which subsequently became the most significant factor influencing complications developed in the second tree model. The classification accuracy were 82.2 and 74.1%, respectively for the tree models of initial diagnosis and complications developed. Conclusion Inadequate seeking medical care by imported malaria patients, and insufficient capacity to diagnose malaria by healthcare institutions of lower administrative level were identified as major factors influencing complications of imported malaria cases in Henan Province. The lack of connection between uncommon imported malaria cases and superior medical resources was found to be the crucial challenge. A web-based system combined with WeChat to target imported malaria cases was proposed to cope with the challenge.
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Affiliation(s)
- Xi-Liang Wang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jie-Bin Cao
- The Centre for Disease Control and Prevention of Erqi District, Zhengzhou, 450001, Henan, People's Republic of China
| | - Dan-Dan Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Dong-Xiao Guo
- The Centre for Disease Control and Prevention of Erqi District, Zhengzhou, 450001, Henan, People's Republic of China
| | - Cheng-Da Zhang
- Department of International Medicine, Beaumont Health System, Royal Oak, MI, 48073, USA
| | - Xiao Wang
- The Centre for Disease Control and Prevention of Erqi District, Zhengzhou, 450001, Henan, People's Republic of China
| | - Dan-Kang Li
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Qing-Lin Zhao
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiao-Wen Huang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wei-Dong Zhang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China.
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Zhang SS, Feng J, Zhang L, Ren X, Geoffroy E, Manguin S, Frutos R, Zhou SS. Imported malaria cases in former endemic and non-malaria endemic areas in China: are there differences in case profile and time to response? Infect Dis Poverty 2019; 8:61. [PMID: 31272497 PMCID: PMC6610923 DOI: 10.1186/s40249-019-0571-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 06/18/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND China has achieved zero indigenous malaria case report in 2017. However, along with the increasing of international cooperation development, there is an increasing number of imported malaria cases from Chinese nationals returning from malaria-affected countries. Previous studies have focused on malaria endemic areas in China. There is thus limited information on non-endemic areas in China, especially on the performance of malaria surveillance and response in health facilities. METHODS A comparative retrospective study was carried out based on routine malaria surveillance data collected from 2013 to 2017. All imported malaria cases reported within the mainland of China were included. Variables used in the comparative analysis between cases in former endemic and former non-endemic areas, included age, gender and occupation, destination of overseas travel, Plasmodium species and patient health outcome. Monthly aggregated data was used to compare seasonal and spatial characteristics. Geographical distribution and spatial-temporal aggregation analyses were conducted. Time to diagnosis and report, method of diagnosis, and level of reporting/diagnosing health facilities were used to assess performance of health facilities. RESULTS A total of 16 733 malaria cases, out of which 90 were fatal, were recorded in 31 provinces. The majority of cases (96.2%) were reported from former malaria endemic areas while 3.8% were reported from former non-malaria endemic areas. Patients in the age class from 19 to 59 years and males made the highest proportion of cases in both areas. There were significant differences between occupational categories in the two areas (P < 0.001). In former endemic areas, the largest proportion of cases was among outdoor workers (80%). Two peaks (June, January) and three peaks (June, September and January) were found in former endemic and former non-endemic areas, respectively. Time between the onset of symptoms and diagnosis at clinics was significantly different between the two areas at different level of health facilities (P < 0.05). CONCLUSIONS All the former non-endemic areas are now reporting imported malaria cases. However, the largest proportion of imported cases is still reported from former endemic areas. Health facilities in former endemic areas outperformed those in former non-endemic areas. Information, treatment, and surveillance must be provided for expatriates while capacity building and continuous training must be implemented at health facilities in China.
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Affiliation(s)
- Shao-Sen Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
- HydroSciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD), CNRS, Université de Montpellier, 34093 Montpellier, France
- IES Université de Montpellier, CNRS, 34059 Montpellier Cedex 5, France
- Cirad, UMR 17, Intertryp, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France
| | - Jun Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Li Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Xiang Ren
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - Sylvie Manguin
- HydroSciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD), CNRS, Université de Montpellier, 34093 Montpellier, France
| | - Roger Frutos
- IES Université de Montpellier, CNRS, 34059 Montpellier Cedex 5, France
- Cirad, UMR 17, Intertryp, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France
| | - Shui-Sen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
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Epidemiology of Imported Malaria in Netrokona District of Bangladesh 2013-2018: Analysis of Surveillance Data. Malar Res Treat 2019; 2019:6780258. [PMID: 31312425 PMCID: PMC6595392 DOI: 10.1155/2019/6780258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 04/11/2019] [Accepted: 04/18/2019] [Indexed: 12/14/2022] Open
Abstract
Introduction Netrokona is one of the first phase malaria elimination targeted 8 districts of Bangladesh by 2021. The district constitutes only 7% of the population but contributes half of the malaria cases in that area. Most of the cases of that district are imported from Meghalaya State of India. The study was conducted to understand the epidemiology of these imported malaria cases for further strategy development to prevent both imported and introduced cases. Methodology The study was retrospectively conducted on the malaria cases confirmed by microscopy and/or RDT by the government and/or NGO service providers between 2013 and 2018. The information of the cases was collected from the verbal "investigation" report of individual malaria confirmed cases. The respondents of the "investigation" were either the patients or their family members. Out of the 713 cases during the study period, descriptive analysis of 626 cases (based on the completeness of "investigation form") of the district was done using MS Excel version 2016. Results Proportion of imported malaria in Netrokona district increased from 60% in 2013 to 95% in 2018 which persists throughout the year with a little seasonal fluctuation. The overall contribution of these imported cases is 93% by cross-border workers by population type and 84%, 66%, and 95% by male, labour, and tribal population considering the factors of sex, occupation, and ethnicity, respectively. Population aged between 15 and 49 years contributed 82% of these imported cases. All of these cases occurred in the internationally bordering belt with Meghalaya State of India. Species-wise distribution revealed lower P. falciparum (63%) and higher mixed (28%) infection in imported cases compared to the 71% Pf and 20% mixed infection among the indigenous infections whereas P. vivax is similar in both cases. Conclusion Imported malaria is an emerging issue that has a potential risk of increased local transmission which might be a challenge to malaria elimination in that area. Appropriate interventions targeting the cross-border workers are essential to prevent the introduced cases and subsequently avoid reestablishment when elimination of the disease is achieved.
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Wang Y, Wang X, Liu X, Ren R, Zhou L, Li C, Tu W, Ni D, Li Q, Feng Z, Zhang Y. Epidemiology of Imported Infectious Diseases, China, 2005-2016. Emerg Infect Dis 2019; 25:33-41. [PMID: 30560778 PMCID: PMC6302593 DOI: 10.3201/eid2501.180178] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Imported infectious diseases are becoming a serious public health threat in China. However, limited information concerning the epidemiologic characteristics of imported infectious diseases is available. In this study, we collected data related to imported infectious diseases in mainland China from the National Information Reporting System of Infectious Diseases and analyzed demographic, temporal, and spatial distributions. The number of types of imported infectious diseases reported increased from 2 in 2005 to 11 in 2016. A total of 31,740 cases of infectious disease were imported to mainland China during 2005–2016; most of them were found in Yunnan Province. The cases were imported mainly from Africa and Asia. As a key and effective measure, pretravel education should be strengthened for all migrant workers and tourists in China, and border screening, cross-border international cooperation, and early warning should be further improved.
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Lai S, Sun J, Ruktanonchai NW, Zhou S, Yu J, Routledge I, Wang L, Zheng Y, Tatem AJ, Li Z. Changing epidemiology and challenges of malaria in China towards elimination. Malar J 2019; 18:107. [PMID: 30922301 PMCID: PMC6440015 DOI: 10.1186/s12936-019-2736-8] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 03/18/2019] [Indexed: 12/24/2022] Open
Abstract
Background Historically, malaria had been a widespread disease in China. A national plan was launched in China in 2010, aiming to eliminate malaria by 2020. In 2017, no indigenous cases of malaria were detected in China for the first time. To provide evidence for precise surveillance and response to achieve elimination goal, a comprehensive study is needed to determine the changing epidemiology of malaria and the challenges towards elimination. Methods Using malaria surveillance data from 2011 to 2016, an integrated series of analyses was conducted to elucidate the changing epidemiological features of autochthonous and imported malaria, and the spatiotemporal patterns of malaria importation from endemic countries. Results From 2011 to 2016, a total of 21,062 malaria cases with 138 deaths were reported, including 91% were imported and 9% were autochthonous. The geographic distribution of local transmission have shrunk dramatically, but there were still more than 10 counties reporting autochthonous cases in 2013–2016, particularly in counties bordering with countries in South-East Asia. The importation from 68 origins countries had an increasing annual trend from Africa but decreasing importation from Southeast Asia. Four distinct communities have been identified in the importation networks with the destinations in China varied by origin and species. Conclusions China is on the verge of malaria elimination, but the residual transmission in border regions and the threats of importation from Africa and Southeast Asia are the key challenges to achieve and maintain malaria elimination. Efforts from China are also needed to help malaria control in origin countries and reduce the risk of introduced transmission. Electronic supplementary material The online version of this article (10.1186/s12936-019-2736-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shengjie Lai
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.,Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Junling Sun
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Nick W Ruktanonchai
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Sheng Zhou
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianxing Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.,MOH Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, CAMS-Fondation Mérieux, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Isobel Routledge
- Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Liping Wang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yaming Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Andrew J Tatem
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Zhongjie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
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Characterization of Plasmodium ovale spp. imported from Africa to Henan Province, China. Sci Rep 2019; 9:2191. [PMID: 30778106 PMCID: PMC6379410 DOI: 10.1038/s41598-019-38629-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 01/04/2019] [Indexed: 01/19/2023] Open
Abstract
As indigenous malaria has decreased over recent decades, the increasing number of imported malaria cases has provided a new challenge for China. The proportion of imported cases due to Plasmodium ovale has increased during this time, and the difference between P. ovale curtisi and P. ovale wallikeri is of importance. To better understand P. ovale epidemiology and the differences between the two subspecies, information on imported malaria in Henan Province was collected during 2010–2017. We carried out a descriptive study to analyze the prevalence, proportion, distribution, and origin of P. o. curtisi and P. o. wallikeri. It showed that imported P. ovale spp. accounts for a large proportion of total malaria cases in Henan Province, even more than that of P. vivax. This suggests that the proportion of P. ovale cases is underestimated in Africa. Among these cases, the latency period of P. o. curtisi was significantly longer than that of P. o. wallikeri. More attention should be paid to imported ovale malaria to avoid the reintroduction of these two subspecies into China.
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Lu F, Ahmed MA, Xu S, Xu S, Han JH, Liu Q, Chen J, Zhu G, Zhou H, Cao J, Han ET. Plasmodium ovale curtisi and Plasmodium ovale wallikeri in Chinese travelers: Prevalence of novel genotypes of circumsporozoite protein in the African continent. INFECTION GENETICS AND EVOLUTION 2019; 70:9-14. [PMID: 30763775 DOI: 10.1016/j.meegid.2019.02.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 01/15/2019] [Accepted: 02/09/2019] [Indexed: 10/27/2022]
Abstract
Imported malaria due to Plasmodium ovale curtisi and P. ovale wallikeri infections from African countries has increased recently (2011-2014) in Chinese travelers. We report novel genotypes, their prevalence and the predominant haplotypes of P. ovale curtisi and P. ovale wallikeri circumsporozoite protein (CSP) from 20 African countries in Chinese travelers. These genotypes should be considered while designing a CSP-based vaccine against P. ovale malaria.
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Affiliation(s)
- Feng Lu
- Department of Parasitology, Institute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou 225001, Jiangsu Province, People's Republic of 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 Parasitic Diseases, Wuxi 214064, Jiangsu Province, People's Republic of China
| | - Md Atique Ahmed
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Gangwon-do 24341, Republic of Korea
| | - Simin Xu
- Department of Parasitology, Institute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou 225001, Jiangsu Province, People's Republic of 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 Parasitic Diseases, Wuxi 214064, Jiangsu Province, People's Republic of China
| | - Jin-Hee Han
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Gangwon-do 24341, Republic of Korea
| | - Qianyan Liu
- Department of Parasitology, Institute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou 225001, Jiangsu Province, People's Republic of China
| | - Jing Chen
- 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 214064, Jiangsu Province, People's Republic of China
| | - Guoding Zhu
- 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 214064, Jiangsu Province, People's Republic of China
| | - Huayun Zhou
- 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 214064, Jiangsu Province, People's Republic of China
| | - Jun Cao
- 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 214064, Jiangsu Province, People's Republic of China.
| | - Eun-Taek Han
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Gangwon-do 24341, Republic of Korea.
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Lowa M, Sitali L, Siame M, Musonda P. Human mobility and factors associated with malaria importation in Lusaka district, Zambia: a descriptive cross sectional study. Malar J 2018; 17:404. [PMID: 30390654 PMCID: PMC6215643 DOI: 10.1186/s12936-018-2554-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 10/27/2018] [Indexed: 11/24/2022] Open
Abstract
Background Malaria is a major public health problem in Zambia with an estimated 4 million confirmed cases and 2389 deaths reported in 2015. Efforts to reduce the incidence of malaria are often undermined by a number of factors such as human mobility which may lead to introduction of imported infections. The aim of this study was to establish the burden of malaria attributed to human mobility in Lusaka district and identify factors associated with malaria importation among residents of Lusaka district. Methods A cross sectional study was conducted in five randomly selected health facilities in Lusaka district from November 2015 to February 2016. Data was collected from 260 patients who presented with malaria and whose status was confirmed by rapid diagnostic test or microscopy. Each confirmed malaria case was interviewed using a structured questionnaire to establish their demographic characteristics, travel history and preventive measures. Travel history was used as a proxy to classify cases as either imported or local. Residency was also used as a secondary proxy for importation to compare characteristics of residents vs non-residents in relation to malaria importation. Logistic regression was used to determine factors associated with malaria importation among residents of Lusaka district. Results Out of 260 cases, 94.2% were classified as imported cases based on participants’ travel history. There were 131 (50.4%) males and 129 (49.6%) females. Age distribution ranged from 0 to 68 years with a median age of 15 years (IQR 8–27). Imported cases came from all the ten provinces of Zambia with the Copperbelt Province being the highest contributor (41%). Of all imported cases, use of prophylaxis was found to be highly protective [AOR = 0.22 (95% CI 0.06–0.82); p-value = 0.024]. Other factors that significantly influence malaria transmission and importation by residents include duration of stay in a highly endemic region [AOR = 1.25 (95% CI 1.09–1.44); p-value = 0.001] and frequency of travel [AOR = 3.71 (95% CI 1.26–10.84); p-value = 0.017]. Conclusion Human mobility has influenced malaria transmission in Lusaka district through a number of factors by importing infections. This leads to onward transmission and poses a challenge to malaria elimination and control. However, taking of prophylaxis is highly protective and must be highly recommended.
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Affiliation(s)
- Miriam Lowa
- Department of Epidemiology and Biostatistics, School of Public Health, University of Zambia, P.O. Box 50110, Lusaka, Zambia. .,Department of Public Health, National Malaria Programme, Ministry of Health and Wellness, P.O. Box 82343, Gaborone, Botswana.
| | - Lungowe Sitali
- Department of Biomedical Sciences, School of Health Sciences, University of Zambia, P.O. Box 50110, Lusaka, Zambia
| | - Mwiche Siame
- Department of Policy and Planning, Ministry of Health, P.O. Box 30205, Lusaka, Zambia
| | - Patrick Musonda
- Department of Epidemiology and Biostatistics, School of Public Health, University of Zambia, P.O. Box 50110, Lusaka, Zambia
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Fang LQ, Sun Y, Zhao GP, Liu LJ, Jiang ZJ, Fan ZW, Wang JX, Ji Y, Ma MJ, Teng J, Zhu Y, Yu P, Li K, Tian YJ, Cao WC. Travel-related infections in mainland China, 2014-16: an active surveillance study. Lancet Public Health 2018; 3:e385-e394. [PMID: 30033200 PMCID: PMC7164813 DOI: 10.1016/s2468-2667(18)30127-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Revised: 06/14/2018] [Accepted: 06/18/2018] [Indexed: 11/17/2022]
Abstract
BACKGROUND Transmission of infection through international travel is a growing health issue, and the frequency of imported infection is increasing in China. We aimed to quantify the total number of infections imported into mainland China by arriving travellers. METHODS We actively surveyed arriving travellers at all 272 international entry-exit ports in mainland China. Suspected cases were detected through fever screening, medical inspection, self-declaration, and reporting by on-board staff. Participants completed a standardised questionnaire with questions about demographics, their travel itinerary (including detailed information about all countries or regions visited), and clinical manifestations. Nasopharyngeal swabs, sputum samples, faecal samples, vomitus, blood, and serum were collected as appropriate for diagnoses. Diagnosis was made by specific laboratory tests according to the national technical guidelines. Infections were classified as respiratory, gastrointestinal, vector-borne, blood-transmitted and sex-transmitted, or mucocutaneous. We divided arriving travellers into two groups: travellers coming from countries other than China, and travellers coming from Hong Kong, Macau, and Taiwan. We integrated surveillance data for 2014-16, calculated incidences of travel-related infections, and compared the frequency of infections among subgroups. FINDINGS Between Jan 1, 2014, and Dec 31, 2016, 22 797 cases were identified among 805 993 392 arriving travellers-an overall incidence of 28·3 per million. 45 pathogens were detected in participants: 18 respiratory (19 662 cases), ten gastrointestinal (189 cases), seven vector-borne (831 cases), seven blood-transmitted and sex-transmitted (1531 cases), and three mucocutaneous (584 cases). Both the overall number and incidence of infection were more than five times higher in 2016 than in 2014. Case numbers and incidences also varied substantially by province, autonomous region, and municipality. Overall, 17 643 (77%) infections were detected by fever screening, but 753 (49%) blood-transmitted and sex-transmitted infections were identified through medical inspection. 14 305 (73%) cases of respiratory infection and 96 (51%) of gastrointestinal infections were in tourists. Tuberculosis, hepatitis A virus, vector-borne, and blood-transmitted and sex-transmitted infections were common among Chinese labourers who worked abroad. Dengue and malaria were most commonly diagnosed in travellers arriving from Africa. 12 126 (93%) of the 12 985 cases arriving from Hong Kong, Macau, or Taiwan were respiratory infections. Hand, foot, and mouth disease accounted for 2·90% of infections in travellers from Hong Kong, Macau, or Taiwan and 0·31% of infections in international travellers. INTERPRETATION This report is the first to characterise the profile of travel-related infections among arriving travellers in mainland China. Our findings should increase public awareness of the potential risk of imported infections, and help health-care providers to make evidence-based health recommendations to travellers. FUNDING The Natural Science Foundation of China.
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Affiliation(s)
- Li-Qun Fang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China
| | - Yu Sun
- Institute of EcoHealth, Shandong University, Jinan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Guo-Ping Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; The Logistics University of the Chinese People's Armed Police Force, Tianjin, China
| | - Li-Juan Liu
- Institute of Health Quarantine, The Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Zhe-Jun Jiang
- Institute of Health Services and Transfusion Medicine, Academy of Military Medical Science, Beijing, China
| | - Zheng-Wei Fan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jing-Xue Wang
- Institute of Health Services and Transfusion Medicine, Academy of Military Medical Science, Beijing, China
| | - Yang Ji
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Mai-Juan Ma
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China
| | - Juan Teng
- State Key Surveillance Laboratory of Vector-borne Infectious Diseases, Hainan Customs District, Haikou, China
| | - Yan Zhu
- International Travel Healthcare Center, Xining Customs District, Xining, China
| | - Ping Yu
- Xi'an Xian Yang Airport Customs House, Xian Yang, China
| | - Kai Li
- International Travel Healthcare Center, Ningxia Customs District, Yinchuan, China
| | - Ying-Jie Tian
- University of Chinese Academy of Sciences, Beijing, China
| | - Wu-Chun Cao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China.
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Xia J, Huang X, Sun L, Zhu H, Lin W, Dong X, Wu D, Qiu J, Zheng L, Cao M, Liu S, Zhang H. Epidemiological characteristics of malaria from control to elimination in Hubei Province, China, 2005-2016. Malar J 2018; 17:81. [PMID: 29448927 PMCID: PMC5815180 DOI: 10.1186/s12936-018-2207-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Accepted: 01/27/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Hubei Province, China, has been operating a malaria elimination programme. This study aimed at investigating the epidemiologic characteristics of malaria in Hubei Province (2005-2016) to plan resource allocation for malaria elimination. METHODS Data on all malaria cases from 2005 to 2016 in all counties of Hubei Province were extracted from a web-based reporting system. The numbers of indigenous and imported cases during the disease control (2005-2010) and elimination (2011-2016) stages, as well as their spatiotemporal distribution, were compared. RESULTS A total of 8109 malaria cases were reported from 2005 to 2016 (7270 and 839 cases during the control and elimination stages, respectively). Between 2005 and 2010, indigenous malaria cases comprised the majority of total cases (7114/7270; 97.9%), and Plasmodium vivax malaria cases accounted for most malaria cases (5572/7270; 76.6%). No indigenous malaria cases have been reported in Hubei Province since 2013. Imported malaria cases showed a gradually increasing trend from 2011 to 2016, Plasmodium falciparum was the predominant species in these cases, and the number of counties with imported cases increased from 4 in 2005 to 47 in 2016. During the control and elimination stages, the most likely spatial clusters for indigenous cases included 13 and 11 counties, respectively. However, the cluster of indigenous malaria cases has not been identified since September 2011. For imported cases, the most likely cluster and three secondary clusters during both stages were identified. CONCLUSIONS Hubei Province has made significant achievements in controlling and eliminating malaria; however, the region now faces some challenges associated with the increasing number and distribution of imported malaria cases. Priorities for malaria elimination should include better management of imported malaria cases, prevention of secondary malaria transmission, and ensuring the sustainability of malaria surveillance.
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Affiliation(s)
- Jing Xia
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Xibao Huang
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Lingcong Sun
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Hong Zhu
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Wen Lin
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Xiaorong Dong
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Dongni Wu
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Juan Qiu
- Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, 430077, China
| | - Li Zheng
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Mumin Cao
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Si Liu
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China.
| | - Huaxun Zhang
- Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China.
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Zhai J, Lu Q, Hu W, Tong S, Wang B, Yang F, Xu Z, Xun S, Shen X. Development of an empirical model to predict malaria outbreaks based on monthly case reports and climate variables in Hefei, China, 1990-2011. Acta Trop 2018; 178:148-154. [PMID: 29138004 DOI: 10.1016/j.actatropica.2017.11.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 10/20/2017] [Accepted: 11/03/2017] [Indexed: 01/10/2023]
Abstract
Malaria remains a significant public health concern in developing countries. Drivers of malaria transmission vary across different geographical regions. Climatic variables are major risk factor in seasonal and secular patterns of P. vivax malaria transmission along Anhui province. The study aims to forecast malaria outbreaks using empirical model developed in Hefei, China. Data on the monthly numbers of notified malaria cases and climatic factors were obtained for the period of January 1st 1990 to December 31st 2011 from the Hefei CDC and Anhui Institute of Meteorological Sciences, respectively. Two logistic regression models with time series seasonal decomposition were used to explore the impact of climatic and seasonal factors on malaria outbreaks. Sensitivity and specificity statistics were used for evaluating the predictive power. The results showed that relative humidity (OR = 1.171, 95% CI = 1.090-1.257), sunshine (OR = 1.076, 95% CI = 1.043-1.110) and barometric pressure (OR = 1.051, 95% CI = 1.003-1.100) were significantly associated with malaria outbreaks after adjustment for seasonality in Hefei area. The validation analyses indicated the overall agreement of 70.42% (sensitivity: 70.52%; specificity: 70.30%). The research suggested that the empirical model developed based on disease surveillance and climatic conditions may have applications in malaria control and prevention activities.
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Wu HM, Fang ZQ, Zhao D, Chen YL, Liu CG, Liang X. A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa. Malar J 2017; 16:275. [PMID: 28676111 PMCID: PMC5496372 DOI: 10.1186/s12936-017-1927-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Accepted: 06/30/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cross-border malaria transmission in China is a major component of Chinese imported malaria cases. Such cases mostly are travellers returning from malaria endemic countries in Africa. By investigating malaria infectious status among Chinese worker in Africa, this study analysed the malaria risk factors, in order to establish infectious forecast model. METHODS Chinese returnees data from Africa were collected at Guangzhou Baiyun International Airport, Guangzhou, China between August 2015 and March 2016 and were included in the cross-sectional and retrospective survey. RESULTS A total of 1492 respondents were included in the study with the majority consisting of junior middle school educated male. Most of them are manual and technical workers hired by companies, with average of 37.04 years of age. Overall malaria incidence rate of the population was 8.98% (134/1492), and there were no significant differences regarding age, gender, occupation, or team. Forecast model was developed on the basis of malaria risk factors including working country, local ecological environment type, work duration and intensity of mosquito bite prevention. CONCLUSIONS The survey suggested that malaria incidence was high among Chinese travellers who had worked in Africa countries of heavy malaria burden. Further research on the frequency and severity of clinical episodes among Chinese travellers having worked in Africa is needed.
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Affiliation(s)
- Hui-ming Wu
- Guangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470 China
| | - Zhi-qiang Fang
- Chinese Academy of Inspection and Quarantine, Beijing, 100176 China
| | - Dang Zhao
- Guangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470 China
| | - Yan-ling Chen
- Guangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470 China
| | - Chuan-ge Liu
- Guangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470 China
| | - Xi Liang
- Guangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470 China
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Lai S, Li Z, Wardrop NA, Sun J, Head MG, Huang Z, Zhou S, Yu J, Zhang Z, Zhou SS, Xia Z, Wang R, Zheng B, Ruan Y, Zhang L, Zhou XN, Tatem AJ, Yu H. Malaria in China, 2011-2015: an observational study. Bull World Health Organ 2017; 95:564-573. [PMID: 28804168 PMCID: PMC5537755 DOI: 10.2471/blt.17.191668] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 05/03/2017] [Accepted: 05/09/2017] [Indexed: 12/16/2022] Open
Abstract
Objective To ascertain the trends and burden of malaria in China and the costs of interventions for 2011–2015. Methods We analysed the spatiotemporal and demographic features of locally transmitted and imported malaria cases using disaggregated surveillance data on malaria from 2011 to 2015, covering the range of dominant malaria vectors in China. The total and mean costs for malaria elimination were calculated by funding sources, interventions and population at risk. Findings A total of 17 745 malaria cases, including 123 deaths (0.7%), were reported in mainland China, with 15 840 (89%) being imported cases, mainly from Africa and south-east Asia. Almost all counties of China (2855/2858) had achieved their elimination goals by 2015, and locally transmitted cases dropped from 1469 cases in 2011 to 43 cases in 2015, mainly occurring in the regions bordering Myanmar where Anopheles minimus and An. dirus are the dominant vector species. A total of United States dollars (US$) 134.6 million was spent in efforts to eliminate malaria during 2011–2015, with US$ 57.2 million (43%) from the Global Fund to Fight AIDS, Tuberculosis and Malaria and US$ 77.3 million (57%) from the Chinese central government. The mean annual investment (US$ 27 million) per person at risk (574 million) was US$ 0.05 (standard deviation: 0.03). Conclusion The locally transmitted malaria burden in China has decreased. The key challenge is to address the remaining local transmission, as well as to reduce imported cases from Africa and south-east Asia. Continued efforts and appropriate levels of investment are needed in the 2016–2020 period to achieve elimination.
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Affiliation(s)
- Shengjie Lai
- School of Public Health, Fudan University, Dongan Road, Xuhui District, Shanghai, 200032, China
| | - Zhongjie Li
- Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Nicola A Wardrop
- Department of Geography and Environment, University of Southampton, Southampton, England
| | - Junling Sun
- Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Michael G Head
- Faculty of Medicine and Global Health Research Institute, University of Southampton, Southampton, England
| | - Zhuojie Huang
- Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Sheng Zhou
- Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianxing Yu
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences
| | - Zike Zhang
- The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou, China
| | - Shui-Sen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Zhigui Xia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Rubo Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Bin Zheng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Yao Ruan
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Li Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Andrew J Tatem
- Department of Geography and Environment, University of Southampton, Southampton, England
| | - Hongjie Yu
- School of Public Health, Fudan University, Dongan Road, Xuhui District, Shanghai, 200032, China
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Kong X, Liu X, Tu H, Xu Y, Niu J, Wang Y, Zhao C, Kou J, Feng J. Malaria control and prevention towards elimination: data from an eleven-year surveillance in Shandong Province, China. Malar J 2017; 16:55. [PMID: 28137270 PMCID: PMC5282722 DOI: 10.1186/s12936-017-1708-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 01/20/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Shandong Province experienced a declining malaria trend of local-acquired transmission, but the increasing imported malaria remains a challenge. Therefore, understanding the epidemiological characteristics of malaria and the control and elimination strategy and interventions is needed for better planning to achieve the overall elimination goal in Shandong Province. METHODS A retrospective study was conducted and all individual cases from a web-based reporting system were reviewed and analysed to explore malaria-endemic characteristics in Shandong from 2005 to 2015. Annual malaria incidence reported in 2005-2015 were geo-coded and matched to the county-level. Spatial cluster analysis was performed to evaluate any identified spatial disease clusters for statistical significance. The space-time cluster was detected with high rates through the retrospective space-time analysis scanning using the discrete Poisson model. RESULTS The overall malaria incidence decreased to a low level during 2005-2015. In total, 1564 confirmed malaria cases were reported, 27.1% of which (n = 424) were indigenous cases. Most of the indigenous case (n = 339, 80.0%) occurred from June to October. However, the number and scale of imported cases have been increased but no significant difference was observed during months. Shandong is endemic for both Plasmodium vivax (n = 730) and Plasmodium falciparum (n = 674). The disease is mainly distributed in Southern (n = 710) and Eastern region (n = 424) of Shandong, such as Jinning (n = 214 [13.7%]), Weihai (n = 151 [9.7%]), and Yantai (n = 107 [6.8%]). Furthermore, the spatial cluster analysis of malaria cases from 2005 to 2015 indicated that the diseased was not randomly distributed. For indigenous cases, a total of 15 and 2 high-risk counties were determined from 2005 to 2009 (control phase) and from 2010 to 2015 (elimination phase), respectively. For imported cases, a total of 26 and 29 high-risk counties were determined from 2005 to 2009 (control phase) and from 2010 to 2015 (elimination phase), respectively. The method of spatial scan statistics identified different 13 significant spatial clusters between 2005 and 2015. The space-time clustering analysis determined that the most likely cluster included 14 and 19 counties for indigenous and imported, respectively. CONCLUSIONS In order to cope with the requirements of malaria elimination phase, the surveillance system should be strengthened particularity on the frequent migration regions as well as the effective multisectoral cooperation and coordination mechanisms. Specific response packages should be tailored among different types of cities and capacity building should also be improved mainly focus on the emergence response and case management. Fund guarantees for scientific research should be maintained both during the elimination and post-elimination phase to consolidate the achievements of malaria elimination.
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Affiliation(s)
- Xiangli Kong
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033 Shandong China
| | - Xin Liu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033 Shandong China
| | - Hong Tu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin Er Road, Shanghai, 200025 China
| | - Yan Xu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033 Shandong China
| | - Jianbing Niu
- Jining No. 1 People’s Hospital, No. 6 Jiankang Road, Jining, 272011 Shandong China
| | - Yongbin Wang
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033 Shandong China
| | - Changlei Zhao
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033 Shandong China
| | - Jingxuan Kou
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033 Shandong China
| | - Jun Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, No. 207 Ruijin Er Road, Shanghai, 200025 China
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Lai S, Wardrop NA, Huang Z, Bosco C, Sun J, Bird T, Wesolowski A, Zhou S, Zhang Q, Zheng C, Li Z, Tatem AJ, Yu H. Plasmodium falciparum malaria importation from Africa to China and its mortality: an analysis of driving factors. Sci Rep 2016; 6:39524. [PMID: 28000753 PMCID: PMC5175130 DOI: 10.1038/srep39524] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 11/23/2016] [Indexed: 12/13/2022] Open
Abstract
Plasmodium falciparum malaria importation from Africa to China is rising with increasing Chinese overseas investment and international travel. Identifying networks and drivers of this phenomenon as well as the contributors to high case-fatality rate is a growing public health concern to enable efficient response. From 2011-2015, 8653 P. falciparum cases leading to 98 deaths (11.3 per 1000 cases) were imported from 41 sub-Saharan countries into China, with most cases (91.3%) occurring in labour-related Chinese travellers. Four strongly connected groupings of origin African countries with destination Chinese provinces were identified, and the number of imported cases was significantly associated with the volume of air passengers to China (P = 0.006), parasite prevalence in Africa (P < 0.001), and the amount of official development assistance from China (P < 0.001) with investment in resource extraction having the strongest relationship with parasite importation. Risk factors for deaths from imported cases were related to the capacity of malaria diagnosis and diverse socioeconomic factors. The spatial heterogeneity uncovered, principal drivers explored, and risk factors for mortality found in the rising rates of P. falciparum malaria importation to China can serve to refine malaria elimination strategies and the management of cases, and high risk groups and regions should be targeted.
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Affiliation(s)
- Shengjie Lai
- WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.,Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China.,Flowminder Foundation, Stockholm, Sweden
| | - Nicola A Wardrop
- WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Zhuojie Huang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Claudio Bosco
- WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Junling Sun
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Tomas Bird
- WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Amy Wesolowski
- Department of Ecology and Evolutionary Biology, Princeton University, New Jersey, USA.,Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Sheng Zhou
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Qian Zhang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Canjun Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zhongjie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Andrew J Tatem
- WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Hongjie Yu
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
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37
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Lu G, Liu Y, Beiersmann C, Feng Y, Cao J, Müller O. Challenges in and lessons learned during the implementation of the 1-3-7 malaria surveillance and response strategy in China: a qualitative study. Infect Dis Poverty 2016; 5:94. [PMID: 27716398 PMCID: PMC5050603 DOI: 10.1186/s40249-016-0188-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 08/24/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND China has made great progress in malaria control over the last century and now aims to eliminate malaria by 2020. In 2012, the country launched its 1-3-7 surveillance and response strategy for malaria elimination. The strategy involves to case reporting within 1 day, case investigation within 3 days, and focus investigation and public health actions within 7 days. The aim of this study was to evaluate the challenges in and lessons learned during the implementation of the 1-3-7 strategy in China so far. METHODS This qualitative study was conducted in two provinces in China: Gansu province (northwestern China) and Jiangsu province (southeastern China) in 2014. Key informant interviews (n = 6) and in-depth interviews (n = 36) about the implementation aspects of the 1-3-7 strategy were conducted with malaria experts, health staff, laboratory practitioners, and village doctors at the provincial, city, county, township, and village levels. RESULTS Broad themes related to the challenges in and lessons learned during the implementation of the 1-3-7 strategy were identified according to: case reporting within 1 day, case investigation within 3 days, focus investigation within 7 days, and the overall strategy. The major challenges outlined were related to respecting the timeline of surveillance procedures, the absence of or difficulties in following guidelines on conducting focus investigations, diagnostics, and the increasing number of returning migrant workers from malaria-endemic countries. Important lessons learned revolve around the importance of continuous capacity building, supervision and motivation, quality control, information technology support, applied research, governmental commitment, and intersectoral collaboration. CONCLUSIONS Surveillance is a key intervention in malaria elimination programs. The Chinese 1-3-7 strategy has already proven to be successful but still needs to be improved. In particular, dealing appropriately with imported malaria cases through the screening of migrant workers from malaria-endemic countries is essential for achieving and sustaining malaria elimination in China. China has perfect preconditions for successful malaria elimination provided political commitment and financial investment are guaranteed. The 1-3-7 strategy may also be considered as a model for other countries.
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Affiliation(s)
- Guangyu Lu
- Department of Preventive Medicine, Medical College of Yangzhou University, Yangzhou University, 225001 Yangzhou, China
- Institute of Public Health, Medical School, The Ruprecht-Karls-Universität Heidelberg, INF 324, 69120 Heidelberg, Germany
| | - Yaobao Liu
- 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, China
| | - Claudia Beiersmann
- Institute of Public Health, Medical School, The Ruprecht-Karls-Universität Heidelberg, INF 324, 69120 Heidelberg, Germany
| | - Yu Feng
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Jun Cao
- 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, China
- Public Health Research Center, Jiangnan University, Wuxi, China
| | - Olaf Müller
- Institute of Public Health, Medical School, The Ruprecht-Karls-Universität Heidelberg, INF 324, 69120 Heidelberg, Germany
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Cao Y, Wang W, Liu Y, Cotter C, Zhou H, Zhu G, Tang J, Tang F, Lu F, Xu S, Gu Y, Zhang C, Li J, Cao J. The increasing importance of Plasmodium ovale and Plasmodium malariae in a malaria elimination setting: an observational study of imported cases in Jiangsu Province, China, 2011-2014. Malar J 2016; 15:459. [PMID: 27604629 PMCID: PMC5015233 DOI: 10.1186/s12936-016-1504-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Accepted: 08/26/2016] [Indexed: 11/27/2022] Open
Abstract
Background Following initiation of China’s National Malaria Elimination Action Plan in 2010, indigenous malaria infections in Jiangsu Province decreased significantly. Meanwhile imported Plasmodium infections have increased substantially, particularly Plasmodium ovale and Plasmodium malariae. Given the risk for malaria resurgence, there is an urgent need to understand the increase in imported P. ovale and P. malariae infections as China works to achieve national malaria elimination. Methods An observational study of imported malaria cases in Jiangsu Province, China was carried out for the period of 2011–2014. Results A total of 1268 malaria cases were reported in Jiangsu Province from 2011 to 2014. Although imported Plasmodium falciparum cases (n = 1058) accounted for 83.4 % of all reported cases in Jiangsu, P. ovale cases (14, 19, 30, and 46) and their proportion (3.7, 9.6, 8.8, and 13.0 %) of all malaria cases increased over the 4 years. Similarly, P. malariae cases (seven, two, nine, and 10) and proportion (1.9, 1.0, 2.6, and 2.8 %) of all malaria cases increased slightly during this time. A total of 98 cases of Plasmodium ovale curtisi (47/98, 48 %) and Plasmodium ovale wallikeri (51/98, 52 %) were identified as well. Latency periods were significant among these Plasmodium infections (p = 0.00). Also, this study found that the latency periods of P. ovale sp., P. malariae and Plasmodium vivax were significantly longer than P. falciparum. However, for both P. ovale curtisi and P. ovale wallikeri infections, the latency period analysis was not significant (p = 0.81). Misdiagnosis of both P. ovale and P. malariae was greater than 71.5 and 71.4 %, respectively. The P. ovale cases were misdiagnosed as P. falciparum (35 cases, 32.1 %), P. vivax (43 cases, 39.4 %) by lower levels of CDCs or hospitals. And, the P. malariae cases were misdiagnosed as P. falciparum (ten cases, 35.7 %), P. vivax (nine cases, 32.1 %) and P. ovale sp. (one case, 3.6 %). Geographic distribution of imported P. ovale sp. and P. malariae cases in Jiangsu Province mainly originated from sub-Saharan Africa such as Equatorial Guinea, Nigeria, and Angola. Conclusions Although the vast majority of imported malaria cases were due to P. falciparum, the increase in other rare Plasmodium species originating from sub-Saharan Africa and Southeast Asia should be closely monitored at all levels of health providers focusing on diagnosis and treatment of malaria. In addition to a receptive vector environment, long latency periods and misdiagnosis of P. malariae and P. ovale sp. increase the risk of re-introduction of malaria in China.
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Affiliation(s)
- Yuanyuan Cao
- 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, 214064, Jiangsu, People's Republic of China
| | - Weiming Wang
- 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, 214064, Jiangsu, People's Republic of China
| | - Yaobao Liu
- 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, 214064, Jiangsu, People's Republic of China
| | - Chris Cotter
- Malaria Elimination Initiative, Global Health Group, University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Huayun Zhou
- 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, 214064, Jiangsu, People's Republic of China
| | - Guoding Zhu
- 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, 214064, Jiangsu, People's Republic of China
| | - Jianxia 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, 214064, Jiangsu, People's Republic of China
| | - Feng 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, 214064, Jiangsu, People's Republic of China
| | - Feng Lu
- 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, 214064, Jiangsu, People's Republic of 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 Parasitic Diseases, Wuxi, 214064, Jiangsu, People's Republic of China
| | - Yaping Gu
- 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, 214064, Jiangsu, People's Republic of China
| | - Chao 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, 214064, Jiangsu, People's Republic of China
| | - Julin Li
- 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, 214064, Jiangsu, People's Republic of China
| | - Jun Cao
- 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, 214064, Jiangsu, People's Republic of China. .,Public Health Research Center, Jiangnan University, Wuxi, 214122, Jiangsu, People's Republic of China.
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Tang S, Ji L, Hu T, Bishwajit G, Da Feng, Ming H, Xian Y, Fu Q, He Z, Fu H, Wang R, Feng Z. Determinants of public malaria awareness during the national malaria elimination programme: a cross-sectional study in rural China. Malar J 2016; 15:372. [PMID: 27430322 PMCID: PMC4950815 DOI: 10.1186/s12936-016-1427-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 07/05/2016] [Indexed: 12/12/2022] Open
Abstract
Background Public malaria health promotion is an integral part of the national malaria elimination programme, which was launched by the Chinese government in 2010. However, the public awareness of malaria needs to improve. This study aims to explore the determinants of public awareness of malaria. Methods A cross-sectional survey was conducted using stratified sampling method from June 2015 to March 2016. Bivariate logistic regression was performed to explore the association between predictors and malaria awareness in the sample population. The homogeneity of the interaction between group assignment and the degree of knowledge related to malaria among the subgroups was calculated by Cochran–Mantel–Haenszel test. Results Community media (including bulletin boards of village clinics or township hospitals, newspapers, exercise books, shopping bags, aprons, disposable cups, leaflets and banner advertisements) was the most prominent determinant influencing public awareness of malaria. The probability of having high-degree of knowledge about malaria among participants who received malaria-related information from community media were 3.99 times greater than those who did not (odds ratio 3.99, 95 % confidence interval 3.04–5.25, p < 0.001). Moreover, socio-demographic predictors including age, distance to township hospital, endemic county type, history of suffering from malaria, electronic media, self-assessed household income level, educational attainment and the knowledge about malaria were clearly associated with public awareness of malaria. Conclusions Community media played the most important role in public awareness of malaria. However, only a few participants have received malaria knowledge through this media. It suggests that community media was an effective publicity material, which should expand its coverage. Malaria health promotion campaign needs to be aligned with target populations, in particular, people who are under 45 years old and residents (especially in type-3 counties) in remote areas.
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Affiliation(s)
- Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Lu Ji
- Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Tao Hu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China.,Bureau of Disease Prevention and Control, National Health and Family, Beijing, China
| | - Ghose Bishwajit
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Da Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Hui Ming
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Yue Xian
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Qian Fu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Zhifei He
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Hang Fu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Ruoxi Wang
- University of Nottingham, Nottingham, UK
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China.
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40
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Tang S, Ji L, Hu T, Wang R, Fu H, Shao T, Liu C, Shao P, He Z, Li G, Feng Z. Public awareness of malaria in the middle stage of national malaria elimination programme. A cross-sectional survey in rural areas of malaria-endemic counties, China. Malar J 2016; 15:373. [PMID: 27436087 PMCID: PMC4949874 DOI: 10.1186/s12936-016-1428-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 07/05/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Remarkable progress in the elimination of malaria has been achieved by the Chinese government in the past 5 years. However, imported cases have increased rapidly, and it is a critical threat to the national malaria elimination programme. This study aims to investigate the current status of the public awareness of malaria in the middle stage of the national malaria elimination progress. METHODS A cross-sectional survey with multi-stage stratified randomized sampling was undertaken between June 2015 and March 2016. A total of 1321 residents from nine malaria-endemic counties, 27 townships and 81 villages were interviewed using a structured questionnaire. RESULTS The results showed 51.6 % of the respondents had sufficient malaria knowledge. The malaria awareness of the public in type I counties was better than that in type II, whereas that in type III was the lowest. Approximately 74.9 % of the respondents were aware of at least one form of prevention of malaria, and 85.2 % of them would seek treatment when suffering from malaria. However, the awareness of fever, chills, sweating as common symptoms of malaria were 53.4, 56.2 and 31.6 %, respectively. The level of malaria awareness of the at-risk population was similar to that of the general population, it seemingly increased along with age and declined with the distance away from township hospitals. CONCLUSION The public awareness of malaria needs to improve continuously. Health education campaigns should focus on basic malaria knowledge and cover target populations. The multi-sectoral or even international collaboration should be further intensified. Careful planning is required to ensure that scattered villages are incorporated into the malaria health promotion system to sustain elimination.
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Affiliation(s)
- Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Lu Ji
- Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Tao Hu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China.,Bureau of Disease Prevention and Control, National Health and Family, Beijing, China
| | - Ruoxi Wang
- University of Nottingham, Nottingham, UK
| | - Hang Fu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Tian Shao
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Chunyan Liu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Piaopiao Shao
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Zhe He
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Gang Li
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China.
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Li Z, Zhang Q, Zheng C, Zhou S, Sun J, Zhang Z, Geng Q, Zhang H, Wang L, Lai S, Hu W, Clements ACA, Zhou XN, Yang W. Erratum to: Epidemiologic features of overseas imported malaria in the People's Republic of China. Malar J 2016; 15:318. [PMID: 27301491 PMCID: PMC4906731 DOI: 10.1186/s12936-016-1355-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Affiliation(s)
- Zhongjie Li
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
| | - Qian Zhang
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
| | - Canjun Zheng
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
| | - Sheng Zhou
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
| | - Junling Sun
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
| | - Zike Zhang
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
- Center of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Qibin Geng
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
- State Key Laboratory of Virology and College of Life Sciences, Wuhan University, Wuhan, China
| | - Honglong Zhang
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
| | - Liping Wang
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
| | - Shengjie Lai
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, 102206, Beijing, China
- Department of Geography and Environment, University of Southampton, Southampton, UK
| | - Wenbiao Hu
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Archie C A Clements
- Research School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, Australia
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, MOH, WHO Collaborating Centre for Tropic Diseases, National Center for International Research on Tropical Diseases, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
| | - Weizhong Yang
- Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
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