Loading…

Analysing the nutrition-disease nexus: the case of malaria

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....

Full description

Saved in:
Bibliographic Details
Published in:Malaria journal 2015-12, Vol.14 (1), p.479-479, Article 479
Main Authors: Lakkam, Milinda, Wein, Lawrence M
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c564t-f152a9a2a8ecf16c4e41d2c7656902258bf9877c4b30bf483573966fb87ae9183
cites cdi_FETCH-LOGICAL-c564t-f152a9a2a8ecf16c4e41d2c7656902258bf9877c4b30bf483573966fb87ae9183
container_end_page 479
container_issue 1
container_start_page 479
container_title Malaria journal
container_volume 14
creator Lakkam, Milinda
Wein, Lawrence M
description 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. 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. 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. 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.
doi_str_mv 10.1186/s12936-015-0894-x
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4665912</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A469083305</galeid><sourcerecordid>A469083305</sourcerecordid><originalsourceid>FETCH-LOGICAL-c564t-f152a9a2a8ecf16c4e41d2c7656902258bf9877c4b30bf483573966fb87ae9183</originalsourceid><addsrcrecordid>eNptUctOHDEQtKKgQEg-IJdopVxyGXD7bQ6RVigvCSmX5Gx5vPZiNGMTewYtfx9PlhBAyIe2u6vK3V0IvQN8AqDEaQWiqegw8A4rzbrdC3QETPKOKMlfPrgfote1XmEMUknyCh0SIUBrRo_Q2TrZ4bbGtF1Nl36V5qnEKebUbWL1traM38317G_RLe8cVqMdbIn2DToIdqj-7V08Rr--fP55_q27-PH1-_n6onNcsKkLwInVlljlXQDhmGewIU4KLjQmhKs-aCWlYz3FfWCKckm1EKFX0noNih6jT3vd67kf_cb5NBU7mOsSR1tuTbbRPK6keGm2-cYwIbgG0gQ-3gmU_Hv2dTJjrM4Pg00-z9WApEq1LiVt0A9PoFd5Lm1FC0pqwajQ8B-1tYM3MYXc_nWLqFmzNpWiFPOGOnkG1c7Gj9Hl5ENs-UcE2BNcybUWH-5nBGwWw83ecNMMN4vhZtc47x8u557xz2H6B5c3pHg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1779643691</pqid></control><display><type>article</type><title>Analysing the nutrition-disease nexus: the case of malaria</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed Central Free</source><creator>Lakkam, Milinda ; Wein, Lawrence M</creator><creatorcontrib>Lakkam, Milinda ; Wein, Lawrence M</creatorcontrib><description>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. 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. 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. 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.</description><identifier>ISSN: 1475-2875</identifier><identifier>EISSN: 1475-2875</identifier><identifier>DOI: 10.1186/s12936-015-0894-x</identifier><identifier>PMID: 26619943</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Africa South of the Sahara - epidemiology ; Analysis ; Animals ; Child, Preschool ; Diet therapy ; Disease Susceptibility ; Health aspects ; Humans ; Infant ; Insecticides ; Malaria ; Malaria - epidemiology ; Malaria - mortality ; Models, Statistical ; Mortality ; Nutritional Status</subject><ispartof>Malaria journal, 2015-12, Vol.14 (1), p.479-479, Article 479</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Lakkam and Wein. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c564t-f152a9a2a8ecf16c4e41d2c7656902258bf9877c4b30bf483573966fb87ae9183</citedby><cites>FETCH-LOGICAL-c564t-f152a9a2a8ecf16c4e41d2c7656902258bf9877c4b30bf483573966fb87ae9183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4665912/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1779643691?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26619943$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lakkam, Milinda</creatorcontrib><creatorcontrib>Wein, Lawrence M</creatorcontrib><title>Analysing the nutrition-disease nexus: the case of malaria</title><title>Malaria journal</title><addtitle>Malar J</addtitle><description>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. 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. 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. 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.</description><subject>Adult</subject><subject>Africa South of the Sahara - epidemiology</subject><subject>Analysis</subject><subject>Animals</subject><subject>Child, Preschool</subject><subject>Diet therapy</subject><subject>Disease Susceptibility</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Infant</subject><subject>Insecticides</subject><subject>Malaria</subject><subject>Malaria - epidemiology</subject><subject>Malaria - mortality</subject><subject>Models, Statistical</subject><subject>Mortality</subject><subject>Nutritional Status</subject><issn>1475-2875</issn><issn>1475-2875</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptUctOHDEQtKKgQEg-IJdopVxyGXD7bQ6RVigvCSmX5Gx5vPZiNGMTewYtfx9PlhBAyIe2u6vK3V0IvQN8AqDEaQWiqegw8A4rzbrdC3QETPKOKMlfPrgfote1XmEMUknyCh0SIUBrRo_Q2TrZ4bbGtF1Nl36V5qnEKebUbWL1traM38317G_RLe8cVqMdbIn2DToIdqj-7V08Rr--fP55_q27-PH1-_n6onNcsKkLwInVlljlXQDhmGewIU4KLjQmhKs-aCWlYz3FfWCKckm1EKFX0noNih6jT3vd67kf_cb5NBU7mOsSR1tuTbbRPK6keGm2-cYwIbgG0gQ-3gmU_Hv2dTJjrM4Pg00-z9WApEq1LiVt0A9PoFd5Lm1FC0pqwajQ8B-1tYM3MYXc_nWLqFmzNpWiFPOGOnkG1c7Gj9Hl5ENs-UcE2BNcybUWH-5nBGwWw83ecNMMN4vhZtc47x8u557xz2H6B5c3pHg</recordid><startdate>20151201</startdate><enddate>20151201</enddate><creator>Lakkam, Milinda</creator><creator>Wein, Lawrence M</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SS</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>H95</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20151201</creationdate><title>Analysing the nutrition-disease nexus: the case of malaria</title><author>Lakkam, Milinda ; Wein, Lawrence M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c564t-f152a9a2a8ecf16c4e41d2c7656902258bf9877c4b30bf483573966fb87ae9183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Africa South of the Sahara - epidemiology</topic><topic>Analysis</topic><topic>Animals</topic><topic>Child, Preschool</topic><topic>Diet therapy</topic><topic>Disease Susceptibility</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Infant</topic><topic>Insecticides</topic><topic>Malaria</topic><topic>Malaria - epidemiology</topic><topic>Malaria - mortality</topic><topic>Models, Statistical</topic><topic>Mortality</topic><topic>Nutritional Status</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lakkam, Milinda</creatorcontrib><creatorcontrib>Wein, Lawrence M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Malaria journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lakkam, Milinda</au><au>Wein, Lawrence M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysing the nutrition-disease nexus: the case of malaria</atitle><jtitle>Malaria journal</jtitle><addtitle>Malar J</addtitle><date>2015-12-01</date><risdate>2015</risdate><volume>14</volume><issue>1</issue><spage>479</spage><epage>479</epage><pages>479-479</pages><artnum>479</artnum><issn>1475-2875</issn><eissn>1475-2875</eissn><abstract>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. 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. 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. 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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26619943</pmid><doi>10.1186/s12936-015-0894-x</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1475-2875
ispartof Malaria journal, 2015-12, Vol.14 (1), p.479-479, Article 479
issn 1475-2875
1475-2875
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4665912
source Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central Free
subjects Adult
Africa South of the Sahara - epidemiology
Analysis
Animals
Child, Preschool
Diet therapy
Disease Susceptibility
Health aspects
Humans
Infant
Insecticides
Malaria
Malaria - epidemiology
Malaria - mortality
Models, Statistical
Mortality
Nutritional Status
title Analysing the nutrition-disease nexus: the case of malaria
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T19%3A12%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysing%20the%20nutrition-disease%20nexus:%20the%20case%20of%20malaria&rft.jtitle=Malaria%20journal&rft.au=Lakkam,%20Milinda&rft.date=2015-12-01&rft.volume=14&rft.issue=1&rft.spage=479&rft.epage=479&rft.pages=479-479&rft.artnum=479&rft.issn=1475-2875&rft.eissn=1475-2875&rft_id=info:doi/10.1186/s12936-015-0894-x&rft_dat=%3Cgale_pubme%3EA469083305%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c564t-f152a9a2a8ecf16c4e41d2c7656902258bf9877c4b30bf483573966fb87ae9183%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1779643691&rft_id=info:pmid/26619943&rft_galeid=A469083305&rfr_iscdi=true