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Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar
BACKGROUND: The malaria burden of Myanmar still remains high within the Greater Mekong Subregion of Southeast Asia. An important indicator of progress towards malaria elimination is the prevalence of parasite infections in endemic populations. Information about malaria epidemiology is mostly derived...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378722/ https://www.ncbi.nlm.nih.gov/pubmed/30777127 http://dx.doi.org/10.1186/s13071-019-3330-1 |
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author | Liu, Ziling Soe, Than Naing Zhao, Yan Than, Aye Cho, Cho Aung, Pyae Linn Li, Yuling Wang, Lin Yang, Huilin Li, Xiangnan Li, Danni Peng, Zhiping Wang, Jiangang Li, Yan Yang, Zhaoqing Zhou, Hongning Wang, Qinghui Kyaw, Myat Phone Cao, Yaming Cui, Liwang |
author_facet | Liu, Ziling Soe, Than Naing Zhao, Yan Than, Aye Cho, Cho Aung, Pyae Linn Li, Yuling Wang, Lin Yang, Huilin Li, Xiangnan Li, Danni Peng, Zhiping Wang, Jiangang Li, Yan Yang, Zhaoqing Zhou, Hongning Wang, Qinghui Kyaw, Myat Phone Cao, Yaming Cui, Liwang |
author_sort | Liu, Ziling |
collection | PubMed |
description | BACKGROUND: The malaria burden of Myanmar still remains high within the Greater Mekong Subregion of Southeast Asia. An important indicator of progress towards malaria elimination is the prevalence of parasite infections in endemic populations. Information about malaria epidemiology is mostly derived from reports of confirmed acute malaria cases through passive case detection, whereas the prevalence of baseline subclinical malaria infections is much less known. METHODS: In this study, cross-sectional surveys were conducted during the rainy season of 2017 in four townships (Bilin, Thabeikkyin, Banmauk and Paletwa) of Myanmar with divergent annual malaria incidences. A total of 1991 volunteers were recruited from local villages and Plasmodium subclinical infections were estimated by light microscopy (LM), rapid diagnostic tests (RDTs) and nested PCR. The nested PCR analysis was performed with a modified pooling strategy that was optimized based on an initial estimate the infection prevalence. RESULTS: The overall malaria infection prevalence based on all methods was 13.9% (277/1991) and it differed drastically among the townships, with Paletwa in the western border having the highest infection rate (22.9%) and Thabeikkyin in central Myanmar having the lowest (3.9%). As expected, nested PCR was the most sensitive and identified 226 (11.4%) individuals with parasite infections. Among the parasite species, Plasmodium vivax was the most prevalent in all locations, while Plasmodium falciparum also accounted for 32% of infections in the western township Paletwa. Two RDTs based on the detection of the hrp2 antigen detected a total of 103 P. falciparum infections, and the ultrasensitive RDT detected 20% more P. falciparum infections than the conventional RDT. In contrast, LM missed the majority of the subclinical infections and only identified 14 Plasmodium infections. CONCLUSIONS: Cross-sectional surveys identified considerable levels of asymptomatic Plasmodium infections in endemic populations of Myanmar with P. vivax becoming the predominant parasite species. Geographical heterogeneity of subclinical infections calls for active surveillance of parasite infections in endemic areas. The pooling scheme designed for nested PCR analysis offers a more practical strategy for large-scale epidemiological studies of parasite prevalence. Such information is important for decision-makers to put forward a more realistic action plan for malaria elimination. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-019-3330-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6378722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63787222019-02-28 Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar Liu, Ziling Soe, Than Naing Zhao, Yan Than, Aye Cho, Cho Aung, Pyae Linn Li, Yuling Wang, Lin Yang, Huilin Li, Xiangnan Li, Danni Peng, Zhiping Wang, Jiangang Li, Yan Yang, Zhaoqing Zhou, Hongning Wang, Qinghui Kyaw, Myat Phone Cao, Yaming Cui, Liwang Parasit Vectors Research BACKGROUND: The malaria burden of Myanmar still remains high within the Greater Mekong Subregion of Southeast Asia. An important indicator of progress towards malaria elimination is the prevalence of parasite infections in endemic populations. Information about malaria epidemiology is mostly derived from reports of confirmed acute malaria cases through passive case detection, whereas the prevalence of baseline subclinical malaria infections is much less known. METHODS: In this study, cross-sectional surveys were conducted during the rainy season of 2017 in four townships (Bilin, Thabeikkyin, Banmauk and Paletwa) of Myanmar with divergent annual malaria incidences. A total of 1991 volunteers were recruited from local villages and Plasmodium subclinical infections were estimated by light microscopy (LM), rapid diagnostic tests (RDTs) and nested PCR. The nested PCR analysis was performed with a modified pooling strategy that was optimized based on an initial estimate the infection prevalence. RESULTS: The overall malaria infection prevalence based on all methods was 13.9% (277/1991) and it differed drastically among the townships, with Paletwa in the western border having the highest infection rate (22.9%) and Thabeikkyin in central Myanmar having the lowest (3.9%). As expected, nested PCR was the most sensitive and identified 226 (11.4%) individuals with parasite infections. Among the parasite species, Plasmodium vivax was the most prevalent in all locations, while Plasmodium falciparum also accounted for 32% of infections in the western township Paletwa. Two RDTs based on the detection of the hrp2 antigen detected a total of 103 P. falciparum infections, and the ultrasensitive RDT detected 20% more P. falciparum infections than the conventional RDT. In contrast, LM missed the majority of the subclinical infections and only identified 14 Plasmodium infections. CONCLUSIONS: Cross-sectional surveys identified considerable levels of asymptomatic Plasmodium infections in endemic populations of Myanmar with P. vivax becoming the predominant parasite species. Geographical heterogeneity of subclinical infections calls for active surveillance of parasite infections in endemic areas. The pooling scheme designed for nested PCR analysis offers a more practical strategy for large-scale epidemiological studies of parasite prevalence. Such information is important for decision-makers to put forward a more realistic action plan for malaria elimination. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-019-3330-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-18 /pmc/articles/PMC6378722/ /pubmed/30777127 http://dx.doi.org/10.1186/s13071-019-3330-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Liu, Ziling Soe, Than Naing Zhao, Yan Than, Aye Cho, Cho Aung, Pyae Linn Li, Yuling Wang, Lin Yang, Huilin Li, Xiangnan Li, Danni Peng, Zhiping Wang, Jiangang Li, Yan Yang, Zhaoqing Zhou, Hongning Wang, Qinghui Kyaw, Myat Phone Cao, Yaming Cui, Liwang Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar |
title | Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar |
title_full | Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar |
title_fullStr | Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar |
title_full_unstemmed | Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar |
title_short | Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar |
title_sort | geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of myanmar |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378722/ https://www.ncbi.nlm.nih.gov/pubmed/30777127 http://dx.doi.org/10.1186/s13071-019-3330-1 |
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