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Rotejanaprasert C, Malaphone V, Mayxay M, Chindavongsa K, Banouvong V, Khamlome B, Vilay P, Vanisavaeth V, Maude RJ. Malaria epidemiology, surveillance and response for elimination in Lao PDR. Infect Dis Poverty 2024; 13:35. [PMID: 38783374 PMCID: PMC11112833 DOI: 10.1186/s40249-024-01202-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 05/07/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Lao PDR has made significant progress in malaria control. The National Strategic Plans outline ambitious targets, aiming for the elimination of Plasmodium falciparum and P. vivax malaria from all northern provinces by 2025 and national elimination by 2030. This article presents an overview of malaria epidemiology, surveillance, and response systems in Lao PDR, emphasizing experiences and achievements in transmission reduction. METHODS Data on surveillance, monitoring and evaluation systems, human resources, infrastructure, and community malaria knowledge during 2010-2020 were systematically gathered from the national program and relevant documents. The collected information was synthesized, and discussions on challenges and future prospects were provided. RESULTS Malaria control and elimination activities in Lao PDR were implemented at various levels, with a focus on health facility catchment areas. There has been significant progress in reducing malaria transmission throughout the country. Targeted interventions, such as case management, vector control, and community engagement, using stratification of control interventions by catchment areas have contributed to the decline in malaria cases. In elimination areas, active surveillance strategies, including case and foci investigation, are implemented to identify and stop transmission. The surveillance system has facilitated timely detection and response to malaria cases, enabling these targeted interventions in higher-risk areas. CONCLUSIONS The malaria surveillance and response system in Lao PDR has played a crucial role in reducing transmission and advancing the country towards elimination. Challenges such as importation, drug resistance, and sustaining support require ongoing efforts. Further strengthening surveillance, improving access to services, and addressing transmission determinants are key areas of focus to achieve malaria elimination and enhance population health in Lao PDR.
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Affiliation(s)
- Chawarat Rotejanaprasert
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
| | - Vilayvone Malaphone
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Laos
- Institute of Research and Education Development, University of Health Sciences, Ministry of Health, Vientiane, Laos
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Virasack Banouvong
- Center of Malariology, Parasitology, and Entomology, Vientiane, Lao PDR, Laos
| | - Boualam Khamlome
- Center of Malariology, Parasitology, and Entomology, Vientiane, Lao PDR, Laos
| | - Phoutnalong Vilay
- Center of Malariology, Parasitology, and Entomology, Vientiane, Lao PDR, Laos
| | | | - Richard J Maude
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- The Open University, Milton Keynes, UK
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Tréhard H, Musset L, Lazrek Y, Djossou F, Epelboin L, Roux E, Landier J, Gaudart J, Mosnier E. Understanding the impact of mobility on Plasmodium spp. carriage in an Amazon cross-border area with low transmission rate. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0002706. [PMID: 38349936 PMCID: PMC10863871 DOI: 10.1371/journal.pgph.0002706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 01/02/2024] [Indexed: 02/15/2024]
Abstract
Despite the large reduction in malaria incidence in the last decade, the last kilometre to elimination is often the hardest, especially in international border areas. This study investigated the impact of mobility on Plasmodium spp. carriage in people living in a cross-border area in Amazonia with a low malaria transmission rate. We implemented a longitudinal ancillary study in the French Guiana town of St. Georges de l'Oyapock, which is located on the border with Brazil. It was based on data from two transversal surveys performed in October 2017 and October 2018. Data were collected on peri-domestic mobility for food-producing activities, and longer-distance mobility in high-risk areas. Participants were screened for Plasmodium spp. carriage using PCR tests, and treated if positive. Vector density around a participant's home was estimated using a previously published model based on remote sensing and meteorological data. The association between Plasmodium spp. carriage and mobility was analysed using a generalized additive mixed model. A total of 1,192 inhabitants, aged between 0 and 92 years old, were included. Median age was 18 years in 2017 (IQR [8;35]). Plasmodium spp. prevalence in the study population was 7% in 2017 (n = 89) and 3% in 2018 (n = 35). Plasmodium spp. carriage was independently associated with i) travel to the adjoining Oiapoque Indigenous Territories in Brazil (OR = 1.76, p = 0.023), ii) the estimated vector density around a participant's home (High versus Low risk OR = 4.11, p<0.001), iii) slash-and-burn farming (OR = 1.96, p = 0.013), and iv) age (p = 0.032). Specific surveillance systems and interventions which take into account different types of mobility are needed in cross-border areas to achieve and maintain malaria elimination (e.g., reactive case detection and treatment in the places visited).
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Affiliation(s)
- Hélène Tréhard
- Aix Marseille Institute of Public Health ISSPAM, UMR1252 SESSTIM, Aix-Marseille University, Inserm, IRD, Marseille, France
| | - Lise Musset
- Laboratoire de parasitologie, World Health Organization Collaborating Center for Surveillance of Antimalarial Drug Resistance, Centre Nationale de Référence du Paludisme, Institut Pasteur de la Guyane, Cayenne, French Guiana
| | - Yassamine Lazrek
- Laboratoire de parasitologie, World Health Organization Collaborating Center for Surveillance of Antimalarial Drug Resistance, Centre Nationale de Référence du Paludisme, Institut Pasteur de la Guyane, Cayenne, French Guiana
| | - Felix Djossou
- Unité des Maladies Infectieuses et Tropicales, Centre Hospitalier de Cayenne, French Guiana
| | - Loïc Epelboin
- Unité des Maladies Infectieuses et Tropicales, Centre Hospitalier de Cayenne, French Guiana
- Centre d’Investigation Clinique Antilles Guyane CIC Inserm 1424, Centre Hospitalier de Cayenne, French Guiana
| | - Emmanuel Roux
- French National Research Institute for Sustainable Development (IRD), ESPACE‐DEV, University of Montpellier, University of French West Indies, University of French Guiana, University of La Reunion, Montpellier, France
- French National Research Institute for Sustainable Development (IRD), Sentinela International Joint Laboratory, University of Brasilia (UnB), Oswaldo Cruz Foundation (Fiocruz), Montpellier, France
| | - Jordi Landier
- Aix Marseille Institute of Public Health ISSPAM, UMR1252 SESSTIM, Aix-Marseille University, Inserm, IRD, Marseille, France
| | - Jean Gaudart
- Aix Marseille University, INSERM, IRD, ISSPAM, SESSTIM, UMR1252, APHM, Hop Timone, BioSTIC, Biostatistic & ICT, Marseille, France
| | - Emilie Mosnier
- Aix Marseille Institute of Public Health ISSPAM, UMR1252 SESSTIM, Aix-Marseille University, Inserm, IRD, Marseille, France
- Grant Management Office, University of Health Sciences, Phnom Penh, Cambodia
- French Agency for Research on AIDS, Viral Hepatitis and Emerging Infectious Diseases (ANRS-MIE), Phnom Penh, Cambodia
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Zhou Y, Zhang WX, Tembo E, Xie MZ, Zhang SS, Wang XR, Wei TT, Feng X, Zhang YL, Du J, Liu YQ, Zhang X, Cui F, Lu QB. Effectiveness of indoor residual spraying on malaria control: a systematic review and meta-analysis. Infect Dis Poverty 2022; 11:83. [PMID: 35870946 PMCID: PMC9308352 DOI: 10.1186/s40249-022-01005-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/30/2022] [Indexed: 11/18/2022] Open
Abstract
Background Indoor residual spraying (IRS) is one of the key interventions recommended by World Health Organization in preventing malaria infection. We aimed to conduct a systematic review and meta-analysis of global studies about the impact of IRS on malaria control. Method We searched PubMed, Web of Science, Embase, and Scopus for relevant studies published from database establishment to 31 December 2021. Random-effects models were used to perform meta-analysis and subgroup analysis to pool the odds ratio (OR) and 95% confidence interval (CI). Meta-regression was used to investigate potential factors of heterogeneity across studies. Results Thirty-eight articles including 81 reports and 1,174,970 individuals were included in the meta-analysis. IRS was associated with lower rates of malaria infection (OR = 0.35, 95% CI: 0.27–0.44). The significantly higher effectiveness was observed in IRS coverage ≥ 80% than in IRS coverage < 80%. Pyrethroids was identified to show the greatest performance in malaria control. In addition, higher effectiveness was associated with a lower gross domestic product
as well as a higher coverage of IRS and bed net utilization. Conclusions IRS could induce a positive effect on malaria infection globally. The high IRS coverage and the use of pyrethroids are key measures to reduce malaria infection. More efforts should focus on increasing IRS coverage, developing more effective new insecticides against malaria, and using multiple interventions comprehensively to achieve malaria control goals. Supplementary Information The online version contains supplementary material available at 10.1186/s40249-022-01005-8.
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Chen F, Chen X, Gu P, Sang X, Wu R, Tian M, Ye Y, Long C, Bishwajit G, Ji L, Feng D, Yang L, Tang S. The economic burden of malaria inpatients and its determinants during China's elimination stage. Front Public Health 2022; 10:994529. [PMID: 36388376 PMCID: PMC9651145 DOI: 10.3389/fpubh.2022.994529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/30/2022] [Indexed: 01/26/2023] Open
Abstract
Background Malaria burden is still worrisome, while empirical evidence from malaria-eliminated countries including China may provide inspiration for the world. Objective This study aimed to investigate China's malaria hospitalization costs and explore its determinants. Methods Stratified multistage sampling across provincial, municipal, and county hospitals was conducted in 2017. All the malaria medical records were retrieved from 2014 to 2016 in 70 hospitals. Parametric and non-parametric methods were employed to estimate hospitalization costs, and the non-parametric bootstrap was used to compare hospitalization costs among sample areas and assessed the uncertainty of its differences. Quantile regressions were conducted to identify the determinants of hospitalization costs. Results The median hospitalization costs of 1633 malaria inpatients were 628 USD. Medication and laboratory tests accounted for over 70% of total expenditure. The median reimbursement rate was 41.87%, and this number was even lower in higher-level hospitals (<35%) and among the New Rural Cooperative Medical Scheme (<40%). Finally, health insurance type, hospital tier, clinical units, unknown fever, and comorbidity were the main determinants of hospitalization costs. Conclusion The disparity of health protection for malaria hospitalization between rural and urban areas was noteworthy. Equivocal diagnosis and comorbidity are contributors of high cost as well. A reasonable payment system and enhanced capacities to treat malaria in a cost-effective way are suggested to reassure malaria economic burden.
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Affiliation(s)
- Fangfei Chen
- School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyu Chen
- School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Peng Gu
- Division of Comprehensive, China Science and Technology Exchange Center, Beijing, China
| | - Xiaodong Sang
- Division of Comprehensive and Supervision, China Biotechnology Development Center, Beijing, China
| | - Ruijun Wu
- Division of Strategy and Policy, China Biotechnology Development Center, Beijing, China
| | - Miaomiao Tian
- Division of Public Rights Protection, Beijing Municipal Health Commission, Beijing, China
| | - Yisheng Ye
- School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Chengxu Long
- Faculty of Social Science and Public Policy, King's College, London, United Kingdom
| | - Ghose Bishwajit
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lu Ji
- School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Da Feng
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Yang
- College of Public Administration, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Lei Yang
| | - Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China,Shangfeng Tang
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Sattabongkot J, Cui L, Bantuchai S, Chotirat S, Kaewkungwal J, Khamsiriwatchara A, Kiattibutr K, Kyaw MP, Lawpoolsri S, Linn NYY, Menezes L, Miao J, Nguitragool W, Parker D, Prikchoo P, Roobsoong W, Sa-Angchai P, Samung Y, Sirichaisinthop J, Sriwichai P, Suk-Uam K, Thammapalo S, Wang B, Zhong D. Malaria Research for Tailored Control and Elimination Strategies in the Greater Mekong Subregion. Am J Trop Med Hyg 2022; 107:152-159. [PMID: 36228914 DOI: 10.4269/ajtmh.21-1268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 05/28/2022] [Indexed: 11/07/2022] Open
Abstract
The malaria landscape in the Greater Mekong Subregion has experienced drastic changes with the ramp-up of the control efforts, revealing formidable challenges that slowed down the progress toward malaria elimination. Problems such as border malaria and cross-border malaria introduction, multidrug resistance in Plasmodium falciparum, the persistence of Plasmodium vivax, the asymptomatic parasite reservoirs, and insecticide resistance in primary vectors require integrated strategies tailored for individual nations in the region. In recognition of these challenges and the need for research, the Southeast Asian International Center of Excellence for Malaria Research has established a network of researchers and stakeholders and conducted basic and translational research to identify existing and emerging problems and develop new countermeasures. The installation of a comprehensive disease and vector surveillance system at sentinel sites in border areas with the implementation of passive/active case detection and cross-sectional surveys allowed timely detection and management of malaria cases, provided updated knowledge for effective vector control measures, and facilitated the efficacy studies of antimalarials. Incorporating sensitive molecular diagnosis to expose the significance of asymptomatic parasite reservoirs for sustaining transmission helped establish the necessary evidence to guide targeted control to eliminate residual transmission. In addition, this program has developed point-of-care diagnostics to monitor the quality of artemisinin combination therapies, delivering the needed information to the drug regulatory authorities to take measures against falsified and substandard antimalarials. To accelerate malaria elimination, this program has actively engaged with stakeholders of all levels, fostered vertical and horizontal collaborations, and enabled the effective dissemination of research findings.
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Affiliation(s)
- Jetsumon Sattabongkot
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Liwang Cui
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | | | - Sadudee Chotirat
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | | | - Kirakorn Kiattibutr
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | | | - Nay Yi Yi Linn
- Department of Public Health, Ministry of Health, Nay Pyi Taw, Myanmar
| | - Lynette Menezes
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | - Jun Miao
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | - Wang Nguitragool
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Daniel Parker
- Department of Epidemiology, University of California at Irvine, Irvine, California
| | - Pathomporn Prikchoo
- Office of Disease Prevention and Control 12, Ministry of Public Health, Songkla, Thailand
| | - Wanlapa Roobsoong
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | - Yudthana Samung
- Department of Medical Entomology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Jeeraphat Sirichaisinthop
- Vector-Borne Disease Control Center, Department of Disease Control, Ministry of Public Health, Bangkok, Thailand
| | - Patchara Sriwichai
- Department of Medical Entomology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Kritsana Suk-Uam
- Vector Borne Disease Control Center 2.3, Ministry of Public Health, Tak, Thailand
| | - Suwich Thammapalo
- Vector-Borne Disease Control Center, Department of Disease Control, Ministry of Public Health, Bangkok, Thailand
| | - Baomin Wang
- College of Agriculture and Biotechnology, China Agricultural University, Beijing, China
| | - Daibin Zhong
- Program in Public Health, University of California at Irvine, Irvine, California
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Xu JW, Deng DW, Wei C, Zhou XW, Li JX. Risk factors associated with malaria infection along China–Myanmar border: a case–control study. Malar J 2022; 21:288. [PMID: 36210453 PMCID: PMC9548336 DOI: 10.1186/s12936-022-04312-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 09/23/2022] [Indexed: 12/02/2022] Open
Abstract
Background The World Health Organization (WHO) has certificated China malaria free, but imported malaria is a continuous challenge in preventing reintroduction of malaria in the border area of China. Understanding risk factors of malaria along China–Myanmar border is benefit for preventing reintroduction of malaria in China and achieving the WHO’s malaria elimination goal in the Greater Mekong Subregion (GMS). Methods This is a case–control study with one malaria case matched to two controls, in which cases were microscopy-confirmed malaria patients and controls were feverish people with microscopy-excluded malaria. A matched logistic regression analysis (LRA) was used to identify risk factors associated with malaria infection. Results From May 2016 through October 2017, the study recruited 223 malaria cases (152 in China and 71 in Myanmar) and 446 controls (304 in China and 142 in Myanmar). All the 152 cases recruited in China were imported malaria. Independent factors associated with malaria infection were overnight out of home in one month prior to attendance of health facilities (adjusted odd ratio [AOR] 13.37, 95% confidence interval [CI]: 6.32–28.28, P < 0.0001), staying overnight in rural lowland and foothill (AOR 2.73, 95% CI: 1.45–5.14, P = 0.0019), staying overnight at altitude < 500 m (AOR 5.66, 95% CI: 3.01–10.71, P < 0.0001) and streamlets ≤ 100 m (AOR9.98, 95% CI: 4.96–20.09, P < 0.0001) in the border areas of Myanmar; and people lacking of knowledge of malaria transmission (AOR 2.17, 95% CI: 1.42–3.32, P = 0.0004). Conclusions Malaria transmission is highly focalized in lowland and foothill in the border areas of Myanmar. The risk factors associated with malaria infection are overnight staying out of home, at low altitude areas, proximity to streamlets and lack of knowledge of malaria transmission. To prevent reintroduction of malaria transmission in China and achieve the WHO goal of malaria elimination in the GMS, cross-border collaboration is continuously necessary, and health education is sorely needed for people in China to maintain their malaria knowledge and vigilance, and in Myanmar to improve their ability of personal protection. Supplementary Information The online version contains supplementary material available at 10.1186/s12936-022-04312-5.
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Wu N. Governance Quality, Public Health, Education, and Innovation: Study for Novel Implications. Front Public Health 2022; 10:940036. [PMID: 35875001 PMCID: PMC9301235 DOI: 10.3389/fpubh.2022.940036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022] Open
Abstract
Pandemic or worldwide disease is the greatest issue of all time that not only affects human health but also influences the economic, educational, and other activities of the countries, since malaria is among the leading health disease that disrupts the economic system of the country. Therefore, this study aimed to analyze whether educational expenditure and technological innovation influence malarial incidence in emerging economies. This study also examined the role of government effectiveness, government health expenditure, gross domestic growth, human capital, and research and development during the period 2000-2018. Employing panel data approaches, including the slope heterogeneity and cross-sectional dependence, the second-generation unit root test reveals the stationarity of all variables. The study also validated the existence of a long-run relationship between the variables. Based on the asymmetrical distribution properties, this study employed the quantile regression approach. The empirical results asserted that education and technological innovation significantly reduce malarial incidents in the panel economies. Also, government effectiveness, research and development, and human capital adversely affect incidences of malaria. In contrast, gross domestic product is the only factor found that increases malarial incidents during the selected period. Based on the empirical results, this study suggested policy measures that could benefit the governors, policymakers, and scholars.
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Affiliation(s)
- Ning Wu
- School of Journalism and Communication, Hubei University, Wuhan, China
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Xu X, Wang JJ, Jiang JJ, Zhang T, Lv XF, Wang SQ, Liu ZJ, Li WD, Lu XC. Mass drug administration in response to vivax malaria resurgence in Anhui Province of Huanghuai Plain, China. ADVANCES IN PARASITOLOGY 2022; 116:115-152. [PMID: 35752446 DOI: 10.1016/bs.apar.2022.04.001] [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
This article summarizes the background, specific conditions, main measures, steps and effects of the implementation of Mass Drug Administration (MDA) to control the local P. vivax malaria epidemic in Anhui Province in central China. Distributing medicines to the designated population quickly controlled the local epidemic of P. vivax. Implementing MDA to control P. vivax ensured the correct selection of medicines, clarification of the targeted population for receipt of medicines, and assurance of a high rate of compliance through government support and health education. These results provide a reference for countries and regions experiencing similar events and planning to implement MDA in malaria control.
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Affiliation(s)
- Xian Xu
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
| | - Jian-Jun Wang
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
| | - Jing-Jing Jiang
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
| | - Tao Zhang
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
| | - Xiao-Feng Lv
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
| | - Shu-Qi Wang
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
| | - Zi-Jian Liu
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
| | - Wei-Dong Li
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China.
| | - Xue-Chun Lu
- Anhui Provincial Center for Disease Control and Prevention, Anhui, PR China
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Feng Y, Gou QY, Yang WH, Wu WC, Wang J, Holmes EC, Liang G, Shi M. OUP accepted manuscript. Virus Evol 2022; 8:veac006. [PMID: 35242359 PMCID: PMC8887699 DOI: 10.1093/ve/veac006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 11/21/2022] Open
Abstract
Although metagenomic sequencing has revealed high numbers of viruses in mosquitoes sampled globally, our understanding of how their diversity and abundance varies in time and space as well as by host species and gender remains unclear. To address this, we collected 23,109 mosquitoes over the course of 12 months from a bat-dwelling cave and a nearby village in Yunnan province, China. These samples were organized by mosquito species, mosquito gender, and sampling time for meta-transcriptomic sequencing. A total of 162 eukaryotic virus species were identified, of which 101 were novel, including representatives of seventeen RNA virus multi-family supergroups and four species of DNA virus from the families Parvoviridae, Circoviridae, and Nudiviridae. In addition, two known vector-borne viruses—Japanese encephalitis virus and Banna virus—were found. Analyses of the entire virome revealed strikingly different viral compositions and abundance levels in warmer compared to colder months, a strong host structure at the level of mosquito species, and no substantial differences between those viruses harbored by male and female mosquitoes. At the scale of individual viruses, some were found to be ubiquitous throughout the year and across four mosquito species, while most of the other viruses were season and/or host specific. Collectively, this study reveals the diversity, dynamics, and evolution of the mosquito virome at a single location and sheds new lights on the ecology of these important vector animals.
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Affiliation(s)
- Yun Feng
- *Corresponding authors: E-mail: ;
| | | | - Wei-hong Yang
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, No. 5 Wenhua Road, Xiaguan, Dali, Yunnan 671000, China
| | - Wei-chen Wu
- Shenzhen Campus of Sun-Yat Sen University, Sun-Yat Sen University Shenzhen Campus, Guangming New District, Shenzhen, Guangdong 518107, China
| | - Juan Wang
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, No. 5 Wenhua Road, Xiaguan, Dali, Yunnan 671000, China
| | | | - Guodong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing 102206, China
| | - Mang Shi
- *Corresponding authors: E-mail: ;
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Huang F, Zhang L, Xue JB, Zhou HN, Thi A, Zhang J, Zhou SS, Xia ZG, Zhou XN. From control to elimination: a spatial-temporal analysis of malaria along the China-Myanmar border. Infect Dis Poverty 2020; 9:158. [PMID: 33213516 PMCID: PMC7676414 DOI: 10.1186/s40249-020-00777-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 11/06/2020] [Indexed: 01/27/2023] Open
Abstract
Background Malaria cases have declined significantly along the China-Myanmar border in the past 10 years and this region is going through a process from control to elimination. The aim of this study is to investigate the epidemiology of malaria along the border, will identify challenges in the progress from control to elimination. Methods National reported malaria cases from China and Myanmar, along with the data of 18 Chinese border counties and 23 townships in Myanmar were obtained from a web-based diseases information reporting system in China and the national malaria control program of Myanmar, respectively. Epidemiological data was analyzed, including the number of reported cases, annual parasite index and proportion of vivax infection. Spatial mapping of the annual parasite index (API) at county or township level in 2014 and 2018 was performed by ArcGIS. The relationship of malaria endemicity on both sides of the border was evaluated by regression analysis. Results The number of reported malaria cases and API declined in the border counties or townships. In 2014, 392 malaria cases were reported from 18 Chinese border counties, including 8.4% indigenous cases and 91.6% imported cases, while the highest API (0.11) was occurred in Yingjiang County. There have been no indigenous cases reported since 2017, but 164 imported cases were reported in 2018 and 97.6% were imported from Myanmar. The average API in 2014 in 23 Myanmar townships was significantly greater than that of 18 Chinese counties (P < 0.01). However, the API decreased significantly in Myanmar side from 2014 to 2018 (P < 0.01). The number of townships with an API between 0 and 1 increased to 15 in 2018, compared to only five in 2014, while still four townships had API > 10. Plasmodium vivax was the predominant species along the border. The number of reported malaria cases and the proportion of vivax infection in the 18 Chinese counties were strongly correlated with those of the 23 Myanmar townships (P < 0.05). Conclusions Malaria elimination is approaching along the China-Myanmar border. However, in order to achieve the malaria elimination in this region and prevent the re-establishment of malaria in China after elimination, continued political, financial and scientific commitment is required.
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Affiliation(s)
- Fang Huang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, WHO Collaborating Center for Tropical Diseases, National Centre for International Research on Tropical Diseases, Ministry of Science and Technology, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Li Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, WHO Collaborating Center for Tropical Diseases, National Centre for International Research on Tropical Diseases, Ministry of Science and Technology, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Jing-Bo Xue
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, WHO Collaborating Center for Tropical Diseases, National Centre for International Research on Tropical Diseases, Ministry of Science and Technology, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Hong-Ning Zhou
- Yunnan Institute of Parasitic Diseases, Puer, 665000, China
| | - Aung Thi
- Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, 15011, Myanmar
| | - Jun Zhang
- Health Poverty Action East Asia Programme Office, Kunming, 650000, China
| | - Shui-Sen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, WHO Collaborating Center for Tropical Diseases, National Centre for International Research on Tropical Diseases, Ministry of Science and Technology, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Zhi-Gui Xia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, WHO Collaborating Center for Tropical Diseases, National Centre for International Research on Tropical Diseases, Ministry of Science and Technology, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, WHO Collaborating Center for Tropical Diseases, National Centre for International Research on Tropical Diseases, Ministry of Science and Technology, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
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