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Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination
BACKGROUND: Malaria is heterogeneously distributed across landscapes. Human population movement (HPM) could link sub-regions with varying levels of transmission, leading to the persistence of disease even in very low transmission settings. Malaria along the Thai–Myanmar border has been decreasing, b...
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/PMC6408830/ https://www.ncbi.nlm.nih.gov/pubmed/30849980 http://dx.doi.org/10.1186/s12936-019-2704-3 |
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author | Saita, Sayambhu Pan-ngum, Wirichada Phuanukoonnon, Suparat Sriwichai, Patchara Silawan, Tassanee White, Lisa J. Parker, Daniel M. |
author_facet | Saita, Sayambhu Pan-ngum, Wirichada Phuanukoonnon, Suparat Sriwichai, Patchara Silawan, Tassanee White, Lisa J. Parker, Daniel M. |
author_sort | Saita, Sayambhu |
collection | PubMed |
description | BACKGROUND: Malaria is heterogeneously distributed across landscapes. Human population movement (HPM) could link sub-regions with varying levels of transmission, leading to the persistence of disease even in very low transmission settings. Malaria along the Thai–Myanmar border has been decreasing, but remains heterogeneous. This study aimed to measure HPM, associated predictors of travel, and HPM correlates of self-reported malaria among people living within malaria hotspots. METHODS: 526 individuals from 279 households in two malaria hotspot areas were included in a prospective observational study. A baseline cross-sectional study was conducted at the beginning, recording both individual- and household-level characteristics. Individual movement and travel patterns were repeatedly observed over one dry season month (March) and one wet season month (May). Descriptive statistics, random effects logistic regressions, and logistic regressions were used to describe and determine associations between HPM patterns, individual-, household-factors, and self-reported malaria. RESULTS: Trips were more common in the dry season. Malaria risk was related to the number of days doing outdoor activities in the dry season, especially trips to Myanmar, to forest areas, and overnight trips. Trips to visit forest areas were more common among participants aged 20–39, males, individuals with low income, low education, and especially among individuals with forest-related occupations. Overnight trips were more common among males, and individual with forest-related occupations. Forty-five participants reported having confirmed malaria infection within the last year. The main place of malaria blood examination and treatment was malaria post and malaria clinic, with participants usually waiting for 2–3 days from onset fever to seeking diagnosis. Individuals using bed nets, living in houses with elevated floors, and houses that received indoor residual spraying in the last year were less likely to report malaria infection. CONCLUSION: An understanding of HPM and concurrent malaria dynamics is important for consideration of targeted public health interventions. Furthermore, diagnosis and treatment centres must be capable of quickly diagnosing and treating infections regardless of HPM. Coverage of diagnosis and treatment centres should be broad, maintained in areas bordering malaria hotspots, and available to all febrile individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2704-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6408830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64088302019-03-21 Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination Saita, Sayambhu Pan-ngum, Wirichada Phuanukoonnon, Suparat Sriwichai, Patchara Silawan, Tassanee White, Lisa J. Parker, Daniel M. Malar J Research BACKGROUND: Malaria is heterogeneously distributed across landscapes. Human population movement (HPM) could link sub-regions with varying levels of transmission, leading to the persistence of disease even in very low transmission settings. Malaria along the Thai–Myanmar border has been decreasing, but remains heterogeneous. This study aimed to measure HPM, associated predictors of travel, and HPM correlates of self-reported malaria among people living within malaria hotspots. METHODS: 526 individuals from 279 households in two malaria hotspot areas were included in a prospective observational study. A baseline cross-sectional study was conducted at the beginning, recording both individual- and household-level characteristics. Individual movement and travel patterns were repeatedly observed over one dry season month (March) and one wet season month (May). Descriptive statistics, random effects logistic regressions, and logistic regressions were used to describe and determine associations between HPM patterns, individual-, household-factors, and self-reported malaria. RESULTS: Trips were more common in the dry season. Malaria risk was related to the number of days doing outdoor activities in the dry season, especially trips to Myanmar, to forest areas, and overnight trips. Trips to visit forest areas were more common among participants aged 20–39, males, individuals with low income, low education, and especially among individuals with forest-related occupations. Overnight trips were more common among males, and individual with forest-related occupations. Forty-five participants reported having confirmed malaria infection within the last year. The main place of malaria blood examination and treatment was malaria post and malaria clinic, with participants usually waiting for 2–3 days from onset fever to seeking diagnosis. Individuals using bed nets, living in houses with elevated floors, and houses that received indoor residual spraying in the last year were less likely to report malaria infection. CONCLUSION: An understanding of HPM and concurrent malaria dynamics is important for consideration of targeted public health interventions. Furthermore, diagnosis and treatment centres must be capable of quickly diagnosing and treating infections regardless of HPM. Coverage of diagnosis and treatment centres should be broad, maintained in areas bordering malaria hotspots, and available to all febrile individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2704-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-08 /pmc/articles/PMC6408830/ /pubmed/30849980 http://dx.doi.org/10.1186/s12936-019-2704-3 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 Saita, Sayambhu Pan-ngum, Wirichada Phuanukoonnon, Suparat Sriwichai, Patchara Silawan, Tassanee White, Lisa J. Parker, Daniel M. Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination |
title | Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination |
title_full | Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination |
title_fullStr | Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination |
title_full_unstemmed | Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination |
title_short | Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination |
title_sort | human population movement and behavioural patterns in malaria hotspots on the thai–myanmar border: implications for malaria elimination |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408830/ https://www.ncbi.nlm.nih.gov/pubmed/30849980 http://dx.doi.org/10.1186/s12936-019-2704-3 |
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