Cargando…

Analysing the nutrition-disease nexus: the case of malaria

BACKGROUND: Motivated by the observation that children suffering from undernutrition are more likely to experience disease and are more likely to die if they do contract a disease, mathematical modelling is used to explore the ramifications of targeting preventive disease measures to undernutritione...

Descripción completa

Detalles Bibliográficos
Autores principales: Lakkam, Milinda, Wein, Lawrence M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4665912/
https://www.ncbi.nlm.nih.gov/pubmed/26619943
http://dx.doi.org/10.1186/s12936-015-0894-x
_version_ 1782403636553318400
author Lakkam, Milinda
Wein, Lawrence M.
author_facet Lakkam, Milinda
Wein, Lawrence M.
author_sort Lakkam, Milinda
collection PubMed
description BACKGROUND: Motivated by the observation that children suffering from undernutrition are more likely to experience disease and are more likely to die if they do contract a disease, mathematical modelling is used to explore the ramifications of targeting preventive disease measures to undernutritioned children. METHODS: A malaria model is constructed with superinfection and heterogeneous susceptibility, where a portion of this susceptibility is due to undernutrition (as measured by weight-for-age z scores); so as to isolate the impact of supplementary food on malaria from the influence of confounding factors, the portion of the total susceptibility that is due to undernutrition is estimated from a large randomized trial of supplementary feeding. Logistic regression is used to estimate mortality given malaria infection as a function of weight-for-age z scores. The clinical malaria morbidity and malaria mortality are analytically computed for a variety of policies involving supplementary food and insecticide-treated bed nets. RESULTS: The portion of heterogeneity in susceptibility that is due to undernutrition is estimated to be 90.3 %. Targeting insecticide-treated bed nets to undernutritioned children leads to fewer malaria deaths than the random distribution of bed nets in the hypoendemic and mesoendemic settings. When baseline bed net coverage for children is 20 %, supplementary food given to underweight children is estimated to reduce malaria mortality by 7.2–22.9 % as the entomological inoculation rate ranges from 500 to 1.0. In the hyperendemic setting, supplementary food has a bigger impact than bed nets, particularly when baseline bed net coverage is high. CONCLUSIONS: Although the results are speculative (e.g., they are based on parameter estimates that do not possess the traditional statistical significance level), the biological plausibility of the modelling assumptions and the high price-sensitivity of demand for bed nets suggest that free bed net distribution targeted to undernutritioned children in areas suffering from both undernutrition and malaria (e.g., sub-Saharan Africa) should be the subject of a randomized trial in a hypoendemic or mesoendemic setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0894-x) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4665912
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-46659122015-12-02 Analysing the nutrition-disease nexus: the case of malaria Lakkam, Milinda Wein, Lawrence M. Malar J Research BACKGROUND: Motivated by the observation that children suffering from undernutrition are more likely to experience disease and are more likely to die if they do contract a disease, mathematical modelling is used to explore the ramifications of targeting preventive disease measures to undernutritioned children. METHODS: A malaria model is constructed with superinfection and heterogeneous susceptibility, where a portion of this susceptibility is due to undernutrition (as measured by weight-for-age z scores); so as to isolate the impact of supplementary food on malaria from the influence of confounding factors, the portion of the total susceptibility that is due to undernutrition is estimated from a large randomized trial of supplementary feeding. Logistic regression is used to estimate mortality given malaria infection as a function of weight-for-age z scores. The clinical malaria morbidity and malaria mortality are analytically computed for a variety of policies involving supplementary food and insecticide-treated bed nets. RESULTS: The portion of heterogeneity in susceptibility that is due to undernutrition is estimated to be 90.3 %. Targeting insecticide-treated bed nets to undernutritioned children leads to fewer malaria deaths than the random distribution of bed nets in the hypoendemic and mesoendemic settings. When baseline bed net coverage for children is 20 %, supplementary food given to underweight children is estimated to reduce malaria mortality by 7.2–22.9 % as the entomological inoculation rate ranges from 500 to 1.0. In the hyperendemic setting, supplementary food has a bigger impact than bed nets, particularly when baseline bed net coverage is high. CONCLUSIONS: Although the results are speculative (e.g., they are based on parameter estimates that do not possess the traditional statistical significance level), the biological plausibility of the modelling assumptions and the high price-sensitivity of demand for bed nets suggest that free bed net distribution targeted to undernutritioned children in areas suffering from both undernutrition and malaria (e.g., sub-Saharan Africa) should be the subject of a randomized trial in a hypoendemic or mesoendemic setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0894-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-01 /pmc/articles/PMC4665912/ /pubmed/26619943 http://dx.doi.org/10.1186/s12936-015-0894-x Text en © Lakkam and Wein. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Lakkam, Milinda
Wein, Lawrence M.
Analysing the nutrition-disease nexus: the case of malaria
title Analysing the nutrition-disease nexus: the case of malaria
title_full Analysing the nutrition-disease nexus: the case of malaria
title_fullStr Analysing the nutrition-disease nexus: the case of malaria
title_full_unstemmed Analysing the nutrition-disease nexus: the case of malaria
title_short Analysing the nutrition-disease nexus: the case of malaria
title_sort analysing the nutrition-disease nexus: the case of malaria
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4665912/
https://www.ncbi.nlm.nih.gov/pubmed/26619943
http://dx.doi.org/10.1186/s12936-015-0894-x
work_keys_str_mv AT lakkammilinda analysingthenutritiondiseasenexusthecaseofmalaria
AT weinlawrencem analysingthenutritiondiseasenexusthecaseofmalaria