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Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate
BACKGROUND: Monitoring malaria transmission is a critical component of efforts to achieve targets for elimination and eradication. Two commonly monitored metrics of transmission intensity are parasite prevalence (PR) and the entomological inoculation rate (EIR). Comparing the spatial and temporal va...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530514/ https://www.ncbi.nlm.nih.gov/pubmed/34672946 http://dx.doi.org/10.7554/eLife.65682 |
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author | Amoah, Benjamin McCann, Robert S Kabaghe, Alinune N Mburu, Monicah Chipeta, Michael G Moraga, Paula Gowelo, Steven Tizifa, Tinashe van den Berg, Henk Mzilahowa, Themba Takken, Willem van Vugt, Michele Phiri, Kamija S Diggle, Peter J Terlouw, Dianne J Giorgi, Emanuele |
author_facet | Amoah, Benjamin McCann, Robert S Kabaghe, Alinune N Mburu, Monicah Chipeta, Michael G Moraga, Paula Gowelo, Steven Tizifa, Tinashe van den Berg, Henk Mzilahowa, Themba Takken, Willem van Vugt, Michele Phiri, Kamija S Diggle, Peter J Terlouw, Dianne J Giorgi, Emanuele |
author_sort | Amoah, Benjamin |
collection | PubMed |
description | BACKGROUND: Monitoring malaria transmission is a critical component of efforts to achieve targets for elimination and eradication. Two commonly monitored metrics of transmission intensity are parasite prevalence (PR) and the entomological inoculation rate (EIR). Comparing the spatial and temporal variations in the PR and EIR of a given geographical region and modelling the relationship between the two metrics may provide a fuller picture of the malaria epidemiology of the region to inform control activities. METHODS: Using geostatistical methods, we compare the spatial and temporal patterns of Plasmodium falciparum EIR and PR using data collected over 38 months in a rural area of Malawi. We then quantify the relationship between EIR and PR by using empirical and mechanistic statistical models. RESULTS: Hotspots identified through the EIR and PR partly overlapped during high transmission seasons but not during low transmission seasons. The estimated relationship showed a 1-month delayed effect of EIR on PR such that at lower levels of EIR, increases in EIR are associated with rapid rise in PR, whereas at higher levels of EIR, changes in EIR do not translate into notable changes in PR. CONCLUSIONS: Our study emphasises the need for integrated malaria control strategies that combine vector and human host managements monitored by both entomological and parasitaemia indices. FUNDING: This work was supported by Stichting Dioraphte grant number 13050800. |
format | Online Article Text |
id | pubmed-8530514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-85305142021-10-25 Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate Amoah, Benjamin McCann, Robert S Kabaghe, Alinune N Mburu, Monicah Chipeta, Michael G Moraga, Paula Gowelo, Steven Tizifa, Tinashe van den Berg, Henk Mzilahowa, Themba Takken, Willem van Vugt, Michele Phiri, Kamija S Diggle, Peter J Terlouw, Dianne J Giorgi, Emanuele eLife Epidemiology and Global Health BACKGROUND: Monitoring malaria transmission is a critical component of efforts to achieve targets for elimination and eradication. Two commonly monitored metrics of transmission intensity are parasite prevalence (PR) and the entomological inoculation rate (EIR). Comparing the spatial and temporal variations in the PR and EIR of a given geographical region and modelling the relationship between the two metrics may provide a fuller picture of the malaria epidemiology of the region to inform control activities. METHODS: Using geostatistical methods, we compare the spatial and temporal patterns of Plasmodium falciparum EIR and PR using data collected over 38 months in a rural area of Malawi. We then quantify the relationship between EIR and PR by using empirical and mechanistic statistical models. RESULTS: Hotspots identified through the EIR and PR partly overlapped during high transmission seasons but not during low transmission seasons. The estimated relationship showed a 1-month delayed effect of EIR on PR such that at lower levels of EIR, increases in EIR are associated with rapid rise in PR, whereas at higher levels of EIR, changes in EIR do not translate into notable changes in PR. CONCLUSIONS: Our study emphasises the need for integrated malaria control strategies that combine vector and human host managements monitored by both entomological and parasitaemia indices. FUNDING: This work was supported by Stichting Dioraphte grant number 13050800. eLife Sciences Publications, Ltd 2021-10-21 /pmc/articles/PMC8530514/ /pubmed/34672946 http://dx.doi.org/10.7554/eLife.65682 Text en © 2021, Amoah et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Amoah, Benjamin McCann, Robert S Kabaghe, Alinune N Mburu, Monicah Chipeta, Michael G Moraga, Paula Gowelo, Steven Tizifa, Tinashe van den Berg, Henk Mzilahowa, Themba Takken, Willem van Vugt, Michele Phiri, Kamija S Diggle, Peter J Terlouw, Dianne J Giorgi, Emanuele Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate |
title | Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate |
title_full | Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate |
title_fullStr | Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate |
title_full_unstemmed | Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate |
title_short | Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate |
title_sort | identifying plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530514/ https://www.ncbi.nlm.nih.gov/pubmed/34672946 http://dx.doi.org/10.7554/eLife.65682 |
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