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An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi

BACKGROUND: The urban–rural designation has been an important risk factor in infectious disease epidemiology. Many studies rely on a politically determined dichotomization of rural versus urban spaces, which fails to capture the complex mosaic of infrastructural, social and environmental factors dri...

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Autores principales: Larson, Peter S., Eisenberg, Joseph N. S., Berrocal, Veronica J., Mathanga, Don P., Wilson, Mark L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543962/
https://www.ncbi.nlm.nih.gov/pubmed/34689786
http://dx.doi.org/10.1186/s12936-021-03950-5
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author Larson, Peter S.
Eisenberg, Joseph N. S.
Berrocal, Veronica J.
Mathanga, Don P.
Wilson, Mark L.
author_facet Larson, Peter S.
Eisenberg, Joseph N. S.
Berrocal, Veronica J.
Mathanga, Don P.
Wilson, Mark L.
author_sort Larson, Peter S.
collection PubMed
description BACKGROUND: The urban–rural designation has been an important risk factor in infectious disease epidemiology. Many studies rely on a politically determined dichotomization of rural versus urban spaces, which fails to capture the complex mosaic of infrastructural, social and environmental factors driving risk. Such evaluation is especially important for Plasmodium transmission and malaria disease. To improve targeting of anti-malarial interventions, a continuous composite measure of urbanicity using spatially-referenced data was developed to evaluate household-level malaria risk from a house-to-house survey of children in Malawi. METHODS: Children from 7564 households from eight districts throughout Malawi were tested for presence of Plasmodium parasites through finger-prick blood sampling and slide microscopy. A survey questionnaire was administered and latitude and longitude coordinates were recorded for each household. Distances from households to features associated with high and low levels of development (health facilities, roads, rivers, lakes) and population density were used to produce a principal component analysis (PCA)-based composite measure for all centroid locations of a fine geo-spatial grid covering Malawi. Regression methods were used to test associations of the urbanicity measure against Plasmodium infection status and to predict parasitaemia risk for all locations in Malawi. RESULTS: Infection probability declined with increasing urbanicity. The new urbanicity metric was more predictive than either a governmentally defined rural/urban dichotomous variable or a population density variable. One reason for this was that 23% of cells within politically defined rural areas exhibited lower risk, more like those normally associated with “urban” locations. CONCLUSIONS: In addition to increasing predictive power, the new continuous urbanicity metric provided a clearer mechanistic understanding than the dichotomous urban/rural designations. Such designations often ignore urban-like, low-risk pockets within traditionally rural areas, as were found in Malawi, along with rural-like, potentially high-risk environments within urban areas. This method of characterizing urbanicity can be applied to other infectious disease processes in rapidly urbanizing contexts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03950-5.
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spelling pubmed-85439622021-10-26 An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi Larson, Peter S. Eisenberg, Joseph N. S. Berrocal, Veronica J. Mathanga, Don P. Wilson, Mark L. Malar J Research BACKGROUND: The urban–rural designation has been an important risk factor in infectious disease epidemiology. Many studies rely on a politically determined dichotomization of rural versus urban spaces, which fails to capture the complex mosaic of infrastructural, social and environmental factors driving risk. Such evaluation is especially important for Plasmodium transmission and malaria disease. To improve targeting of anti-malarial interventions, a continuous composite measure of urbanicity using spatially-referenced data was developed to evaluate household-level malaria risk from a house-to-house survey of children in Malawi. METHODS: Children from 7564 households from eight districts throughout Malawi were tested for presence of Plasmodium parasites through finger-prick blood sampling and slide microscopy. A survey questionnaire was administered and latitude and longitude coordinates were recorded for each household. Distances from households to features associated with high and low levels of development (health facilities, roads, rivers, lakes) and population density were used to produce a principal component analysis (PCA)-based composite measure for all centroid locations of a fine geo-spatial grid covering Malawi. Regression methods were used to test associations of the urbanicity measure against Plasmodium infection status and to predict parasitaemia risk for all locations in Malawi. RESULTS: Infection probability declined with increasing urbanicity. The new urbanicity metric was more predictive than either a governmentally defined rural/urban dichotomous variable or a population density variable. One reason for this was that 23% of cells within politically defined rural areas exhibited lower risk, more like those normally associated with “urban” locations. CONCLUSIONS: In addition to increasing predictive power, the new continuous urbanicity metric provided a clearer mechanistic understanding than the dichotomous urban/rural designations. Such designations often ignore urban-like, low-risk pockets within traditionally rural areas, as were found in Malawi, along with rural-like, potentially high-risk environments within urban areas. This method of characterizing urbanicity can be applied to other infectious disease processes in rapidly urbanizing contexts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03950-5. BioMed Central 2021-10-24 /pmc/articles/PMC8543962/ /pubmed/34689786 http://dx.doi.org/10.1186/s12936-021-03950-5 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
Larson, Peter S.
Eisenberg, Joseph N. S.
Berrocal, Veronica J.
Mathanga, Don P.
Wilson, Mark L.
An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi
title An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi
title_full An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi
title_fullStr An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi
title_full_unstemmed An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi
title_short An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi
title_sort urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in malawi
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543962/
https://www.ncbi.nlm.nih.gov/pubmed/34689786
http://dx.doi.org/10.1186/s12936-021-03950-5
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