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Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study

BACKGROUND: Large-scale variation in ecological parameters across Madagascar is hypothesized to drive varying spatial patterns of malaria infection. However, to date, few studies of parasite prevalence with resolution at finer, sub-regional spatial scales are available. As a result, there is a poor...

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Autores principales: Rice, Benjamin L., Golden, Christopher D., Randriamady, Hervet J., Rakotomalala, Anjaharinony Andry Ny Aina, Vonona, Miadana Arisoa, Anjaranirina, Evelin Jean Gasta, Hazen, James, Castro, Marcia C., Metcalf, C. Jessica E., Hartl, Daniel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164762/
https://www.ncbi.nlm.nih.gov/pubmed/34051786
http://dx.doi.org/10.1186/s12889-021-11090-3
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author Rice, Benjamin L.
Golden, Christopher D.
Randriamady, Hervet J.
Rakotomalala, Anjaharinony Andry Ny Aina
Vonona, Miadana Arisoa
Anjaranirina, Evelin Jean Gasta
Hazen, James
Castro, Marcia C.
Metcalf, C. Jessica E.
Hartl, Daniel L.
author_facet Rice, Benjamin L.
Golden, Christopher D.
Randriamady, Hervet J.
Rakotomalala, Anjaharinony Andry Ny Aina
Vonona, Miadana Arisoa
Anjaranirina, Evelin Jean Gasta
Hazen, James
Castro, Marcia C.
Metcalf, C. Jessica E.
Hartl, Daniel L.
author_sort Rice, Benjamin L.
collection PubMed
description BACKGROUND: Large-scale variation in ecological parameters across Madagascar is hypothesized to drive varying spatial patterns of malaria infection. However, to date, few studies of parasite prevalence with resolution at finer, sub-regional spatial scales are available. As a result, there is a poor understanding of how Madagascar’s diverse local ecologies link with variation in the distribution of infections at the community and household level. Efforts to preserve Madagascar’s ecological diversity often focus on improving livelihoods in rural communities near remaining forested areas but are limited by a lack of data on their infectious disease burden. METHODS: To investigate spatial variation in malaria prevalence at the sub-regional scale in Madagascar, we sampled 1476 households (7117 total individuals, all ages) from 31 rural communities divided among five ecologically distinct regions. The sampled regions range from tropical rainforest to semi-arid, spiny forest and include communities near protected areas including the Masoala, Makira, and Mikea forests. Malaria prevalence was estimated by rapid diagnostic test (RDT) cross-sectional surveys performed during malaria transmission seasons over 2013–2017. RESULTS: Indicative of localized hotspots, malaria prevalence varied more than 10-fold between nearby (< 50 km) communities in some cases. Prevalence was highest on average in the west coast region (Morombe district, average community prevalence 29.4%), situated near protected dry deciduous forest habitat. At the household level, communities in southeast Madagascar (Mananjary district) were observed with over 50% of households containing multiple infected individuals at the time of sampling. From simulations accounting for variation in household size and prevalence at the community level, we observed a significant excess of households with multiple infections in rural communities in southwest and southeast Madagascar, suggesting variation in risk within communities. CONCLUSIONS: Our data suggest that the malaria infection burden experienced by rural communities in Madagascar varies greatly at smaller spatial scales (i.e., at the community and household level) and that the southeast and west coast ecological regions warrant further attention from disease control efforts. Conservation and development efforts in these regions may benefit from consideration of the high, and variable, malaria prevalences among communities in these areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11090-3.
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spelling pubmed-81647622021-06-01 Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study Rice, Benjamin L. Golden, Christopher D. Randriamady, Hervet J. Rakotomalala, Anjaharinony Andry Ny Aina Vonona, Miadana Arisoa Anjaranirina, Evelin Jean Gasta Hazen, James Castro, Marcia C. Metcalf, C. Jessica E. Hartl, Daniel L. BMC Public Health Research BACKGROUND: Large-scale variation in ecological parameters across Madagascar is hypothesized to drive varying spatial patterns of malaria infection. However, to date, few studies of parasite prevalence with resolution at finer, sub-regional spatial scales are available. As a result, there is a poor understanding of how Madagascar’s diverse local ecologies link with variation in the distribution of infections at the community and household level. Efforts to preserve Madagascar’s ecological diversity often focus on improving livelihoods in rural communities near remaining forested areas but are limited by a lack of data on their infectious disease burden. METHODS: To investigate spatial variation in malaria prevalence at the sub-regional scale in Madagascar, we sampled 1476 households (7117 total individuals, all ages) from 31 rural communities divided among five ecologically distinct regions. The sampled regions range from tropical rainforest to semi-arid, spiny forest and include communities near protected areas including the Masoala, Makira, and Mikea forests. Malaria prevalence was estimated by rapid diagnostic test (RDT) cross-sectional surveys performed during malaria transmission seasons over 2013–2017. RESULTS: Indicative of localized hotspots, malaria prevalence varied more than 10-fold between nearby (< 50 km) communities in some cases. Prevalence was highest on average in the west coast region (Morombe district, average community prevalence 29.4%), situated near protected dry deciduous forest habitat. At the household level, communities in southeast Madagascar (Mananjary district) were observed with over 50% of households containing multiple infected individuals at the time of sampling. From simulations accounting for variation in household size and prevalence at the community level, we observed a significant excess of households with multiple infections in rural communities in southwest and southeast Madagascar, suggesting variation in risk within communities. CONCLUSIONS: Our data suggest that the malaria infection burden experienced by rural communities in Madagascar varies greatly at smaller spatial scales (i.e., at the community and household level) and that the southeast and west coast ecological regions warrant further attention from disease control efforts. Conservation and development efforts in these regions may benefit from consideration of the high, and variable, malaria prevalences among communities in these areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11090-3. BioMed Central 2021-05-29 /pmc/articles/PMC8164762/ /pubmed/34051786 http://dx.doi.org/10.1186/s12889-021-11090-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rice, Benjamin L.
Golden, Christopher D.
Randriamady, Hervet J.
Rakotomalala, Anjaharinony Andry Ny Aina
Vonona, Miadana Arisoa
Anjaranirina, Evelin Jean Gasta
Hazen, James
Castro, Marcia C.
Metcalf, C. Jessica E.
Hartl, Daniel L.
Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study
title Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study
title_full Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study
title_fullStr Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study
title_full_unstemmed Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study
title_short Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study
title_sort fine-scale variation in malaria prevalence across ecological regions in madagascar: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164762/
https://www.ncbi.nlm.nih.gov/pubmed/34051786
http://dx.doi.org/10.1186/s12889-021-11090-3
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