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Malaria hotspots explained from the perspective of ecological theory underlying insect foraging
Hotspots constitute the major reservoir for residual malaria transmission, with higher malaria incidence than neighbouring areas, and therefore, have the potential to form the cornerstone for successful intervention strategies. Detection of malaria hotspots is hampered by their heterogenous spatial...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7722757/ https://www.ncbi.nlm.nih.gov/pubmed/33293574 http://dx.doi.org/10.1038/s41598-020-78021-x |
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author | Debebe, Yared Hill, Sharon Rose Tekie, Habte Dugassa, Sisay Hopkins, Richard J. Ignell, Rickard |
author_facet | Debebe, Yared Hill, Sharon Rose Tekie, Habte Dugassa, Sisay Hopkins, Richard J. Ignell, Rickard |
author_sort | Debebe, Yared |
collection | PubMed |
description | Hotspots constitute the major reservoir for residual malaria transmission, with higher malaria incidence than neighbouring areas, and therefore, have the potential to form the cornerstone for successful intervention strategies. Detection of malaria hotspots is hampered by their heterogenous spatial distribution, and the laborious nature and low sensitivity of the current methods used to assess transmission intensity. We adopt ecological theory underlying foraging in herbivorous insects to vector mosquito host seeking and modelling of fine-scale landscape features at the village level. The overall effect of environmental variables on the density of indoor mosquitoes, sporozoite infected mosquitoes, and malaria incidence, was determined using generalized linear models. Spatial analyses were used to identify hotspots for malaria incidence, as well as malaria vector density and associated sporozoite prevalence. We identify household occupancy and location as the main predictors of vector density, entomological inoculation rate and malaria incidence. We propose that the use of conventional vector control and malaria interventions, integrated with their intensified application targeting predicted hotspots, can be used to reduce malaria incidence in endemic and residual malaria settings. |
format | Online Article Text |
id | pubmed-7722757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77227572020-12-09 Malaria hotspots explained from the perspective of ecological theory underlying insect foraging Debebe, Yared Hill, Sharon Rose Tekie, Habte Dugassa, Sisay Hopkins, Richard J. Ignell, Rickard Sci Rep Article Hotspots constitute the major reservoir for residual malaria transmission, with higher malaria incidence than neighbouring areas, and therefore, have the potential to form the cornerstone for successful intervention strategies. Detection of malaria hotspots is hampered by their heterogenous spatial distribution, and the laborious nature and low sensitivity of the current methods used to assess transmission intensity. We adopt ecological theory underlying foraging in herbivorous insects to vector mosquito host seeking and modelling of fine-scale landscape features at the village level. The overall effect of environmental variables on the density of indoor mosquitoes, sporozoite infected mosquitoes, and malaria incidence, was determined using generalized linear models. Spatial analyses were used to identify hotspots for malaria incidence, as well as malaria vector density and associated sporozoite prevalence. We identify household occupancy and location as the main predictors of vector density, entomological inoculation rate and malaria incidence. We propose that the use of conventional vector control and malaria interventions, integrated with their intensified application targeting predicted hotspots, can be used to reduce malaria incidence in endemic and residual malaria settings. Nature Publishing Group UK 2020-12-08 /pmc/articles/PMC7722757/ /pubmed/33293574 http://dx.doi.org/10.1038/s41598-020-78021-x Text en © The Author(s) 2020 Open Access This 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/. |
spellingShingle | Article Debebe, Yared Hill, Sharon Rose Tekie, Habte Dugassa, Sisay Hopkins, Richard J. Ignell, Rickard Malaria hotspots explained from the perspective of ecological theory underlying insect foraging |
title | Malaria hotspots explained from the perspective of ecological theory underlying insect foraging |
title_full | Malaria hotspots explained from the perspective of ecological theory underlying insect foraging |
title_fullStr | Malaria hotspots explained from the perspective of ecological theory underlying insect foraging |
title_full_unstemmed | Malaria hotspots explained from the perspective of ecological theory underlying insect foraging |
title_short | Malaria hotspots explained from the perspective of ecological theory underlying insect foraging |
title_sort | malaria hotspots explained from the perspective of ecological theory underlying insect foraging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7722757/ https://www.ncbi.nlm.nih.gov/pubmed/33293574 http://dx.doi.org/10.1038/s41598-020-78021-x |
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