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Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India
BACKGROUND: Despite declining incidence over the past decade, malaria remains an important health burden in India. This study aimed to assess the village-level temporal patterns of Plasmodium infection in two districts of the north-eastern state of Meghalaya and evaluate risk factors that might expl...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859895/ https://www.ncbi.nlm.nih.gov/pubmed/33541366 http://dx.doi.org/10.1186/s12936-021-03600-w |
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author | Kessler, Anne Shylla, Badondor Singh, Upasana Shyamsunder Lyngdoh, Rilynti Mawkhlieng, Bandapkupar van Eijk, Anna Maria Sullivan, Steven A. Das, Aparup Walton, Catherine Wilson, Mark L. Carlton, Jane M. Albert, Sandra |
author_facet | Kessler, Anne Shylla, Badondor Singh, Upasana Shyamsunder Lyngdoh, Rilynti Mawkhlieng, Bandapkupar van Eijk, Anna Maria Sullivan, Steven A. Das, Aparup Walton, Catherine Wilson, Mark L. Carlton, Jane M. Albert, Sandra |
author_sort | Kessler, Anne |
collection | PubMed |
description | BACKGROUND: Despite declining incidence over the past decade, malaria remains an important health burden in India. This study aimed to assess the village-level temporal patterns of Plasmodium infection in two districts of the north-eastern state of Meghalaya and evaluate risk factors that might explain these patterns. METHODS: Primary Health Centre passive malaria case data from 2014 to 2018 were analysed to characterize village-specific annual incidence and temporal trends. Active malaria case detection was undertaken in 2018 and 2019 to detect Plasmodium infections using PCR. A questionnaire collected socio-demographic, environmental, and behavioural data, and households were spatially mapped via GPS. Adult mosquitoes were sampled at a subset of subjects' houses, and Anopheles were identified by PCR and sequencing. Risk factors for Plasmodium infection were evaluated using bivariate and multivariate logistic regression analysis, and spatial cluster analysis was undertaken. RESULTS: The annual malaria incidence from PHC-based passive surveillance datasets in 2014–2018 was heterogenous but declining across villages in both districts. Active surveillance in 2018 enrolled 1468 individuals from 468 households (West Jaintia Hills) and 1274 individuals from 359 households (West Khasi Hills). Plasmodium falciparum prevalence per 100 people varied from 0 to 4.1% in the nine villages of West Jaintia Hills, and from 0 to 10.6% in the 12 villages of West Khasi Hills. Significant clustering of P. falciparum infections [observed = 11, expected = 2.15, Relative Risk (RR) = 12.65; p < 0.001] was observed in West Khasi Hills. A total of 13 Anopheles species were found at 53 houses in five villages, with Anopheles jeyporiensis being the most abundant. Risk of infection increased with presence of mosquitoes and electricity in the households [Odds Ratio (OR) = 1.19 and 1.11], respectively. Households with reported animals had reduced infection risk (OR = 0.91). CONCLUSION: Malaria incidence during 2014–2018 declined in all study villages covered by the passive surveillance data, a period that includes the first widespread insecticide-treated net campaign. The survey data from 2018 revealed a significant association between Plasmodium infection and certain household characteristics. Since species of Plasmodium-competent mosquito vectors continue to be abundant, malaria resurgence remains a threat, and control efforts should continue. |
format | Online Article Text |
id | pubmed-7859895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78598952021-02-04 Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India Kessler, Anne Shylla, Badondor Singh, Upasana Shyamsunder Lyngdoh, Rilynti Mawkhlieng, Bandapkupar van Eijk, Anna Maria Sullivan, Steven A. Das, Aparup Walton, Catherine Wilson, Mark L. Carlton, Jane M. Albert, Sandra Malar J Research BACKGROUND: Despite declining incidence over the past decade, malaria remains an important health burden in India. This study aimed to assess the village-level temporal patterns of Plasmodium infection in two districts of the north-eastern state of Meghalaya and evaluate risk factors that might explain these patterns. METHODS: Primary Health Centre passive malaria case data from 2014 to 2018 were analysed to characterize village-specific annual incidence and temporal trends. Active malaria case detection was undertaken in 2018 and 2019 to detect Plasmodium infections using PCR. A questionnaire collected socio-demographic, environmental, and behavioural data, and households were spatially mapped via GPS. Adult mosquitoes were sampled at a subset of subjects' houses, and Anopheles were identified by PCR and sequencing. Risk factors for Plasmodium infection were evaluated using bivariate and multivariate logistic regression analysis, and spatial cluster analysis was undertaken. RESULTS: The annual malaria incidence from PHC-based passive surveillance datasets in 2014–2018 was heterogenous but declining across villages in both districts. Active surveillance in 2018 enrolled 1468 individuals from 468 households (West Jaintia Hills) and 1274 individuals from 359 households (West Khasi Hills). Plasmodium falciparum prevalence per 100 people varied from 0 to 4.1% in the nine villages of West Jaintia Hills, and from 0 to 10.6% in the 12 villages of West Khasi Hills. Significant clustering of P. falciparum infections [observed = 11, expected = 2.15, Relative Risk (RR) = 12.65; p < 0.001] was observed in West Khasi Hills. A total of 13 Anopheles species were found at 53 houses in five villages, with Anopheles jeyporiensis being the most abundant. Risk of infection increased with presence of mosquitoes and electricity in the households [Odds Ratio (OR) = 1.19 and 1.11], respectively. Households with reported animals had reduced infection risk (OR = 0.91). CONCLUSION: Malaria incidence during 2014–2018 declined in all study villages covered by the passive surveillance data, a period that includes the first widespread insecticide-treated net campaign. The survey data from 2018 revealed a significant association between Plasmodium infection and certain household characteristics. Since species of Plasmodium-competent mosquito vectors continue to be abundant, malaria resurgence remains a threat, and control efforts should continue. BioMed Central 2021-02-04 /pmc/articles/PMC7859895/ /pubmed/33541366 http://dx.doi.org/10.1186/s12936-021-03600-w Text en © The Author(s) 2021 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/. 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 in a credit line to the data. |
spellingShingle | Research Kessler, Anne Shylla, Badondor Singh, Upasana Shyamsunder Lyngdoh, Rilynti Mawkhlieng, Bandapkupar van Eijk, Anna Maria Sullivan, Steven A. Das, Aparup Walton, Catherine Wilson, Mark L. Carlton, Jane M. Albert, Sandra Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India |
title | Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India |
title_full | Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India |
title_fullStr | Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India |
title_full_unstemmed | Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India |
title_short | Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India |
title_sort | spatial and temporal village-level prevalence of plasmodium infection and associated risk factors in two districts of meghalaya, india |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859895/ https://www.ncbi.nlm.nih.gov/pubmed/33541366 http://dx.doi.org/10.1186/s12936-021-03600-w |
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