The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa

Abstract Background The disease burden of Plasmodium falciparum malaria illness is generally estimated using one of two distinct approaches: either by transforming P. falciparum infection prevalence estimates into incidence estimates using conversion formulae; or through adjustment of counts of reco...

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Main Authors: Ursula Dalrymple, Ewan Cameron, Rohan Arambepola, Katherine E. Battle, Elisabeth G. Chestnutt, Suzanne H. Keddie, Katherine A. Twohig, Daniel A. Pfeffer, Harry S. Gibson, Daniel J. Weiss, Samir Bhatt, Peter W. Gething
Format: Article
Language:English
Published: BMC 2019-06-01
Series:Malaria Journal
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Online Access:http://link.springer.com/article/10.1186/s12936-019-2830-y
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author Ursula Dalrymple
Ewan Cameron
Rohan Arambepola
Katherine E. Battle
Elisabeth G. Chestnutt
Suzanne H. Keddie
Katherine A. Twohig
Daniel A. Pfeffer
Harry S. Gibson
Daniel J. Weiss
Samir Bhatt
Peter W. Gething
spellingShingle Ursula Dalrymple
Ewan Cameron
Rohan Arambepola
Katherine E. Battle
Elisabeth G. Chestnutt
Suzanne H. Keddie
Katherine A. Twohig
Daniel A. Pfeffer
Harry S. Gibson
Daniel J. Weiss
Samir Bhatt
Peter W. Gething
The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa
Malaria Journal
Malaria-attributable fever
Burden estimation
Plasmodium falciparum
Fever
author_facet Ursula Dalrymple
Ewan Cameron
Rohan Arambepola
Katherine E. Battle
Elisabeth G. Chestnutt
Suzanne H. Keddie
Katherine A. Twohig
Daniel A. Pfeffer
Harry S. Gibson
Daniel J. Weiss
Samir Bhatt
Peter W. Gething
author_sort Ursula Dalrymple
title The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa
title_short The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa
title_full The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa
title_fullStr The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa
title_full_unstemmed The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa
title_sort contribution of non-malarial febrile illness co-infections to plasmodium falciparum case counts in health facilities in sub-saharan africa
publisher BMC
series Malaria Journal
issn 1475-2875
publishDate 2019-06-01
description Abstract Background The disease burden of Plasmodium falciparum malaria illness is generally estimated using one of two distinct approaches: either by transforming P. falciparum infection prevalence estimates into incidence estimates using conversion formulae; or through adjustment of counts of recorded P. falciparum-positive fever cases from clinics. Whilst both ostensibly seek to evaluate P. falciparum disease burden, there is an implicit and problematic difference in the metric being estimated. The first enumerates only symptomatic malaria cases, while the second enumerates all febrile episodes coincident with a P. falciparum infection, regardless of the fever’s underlying cause. Methods Here, a novel approach was used to triangulate community-based data sources capturing P. falciparum infection, fever, and care-seeking to estimate the fraction of P. falciparum-positive fevers amongst children under 5 years of age presenting at health facilities that are attributable to P. falciparum infection versus other non-malarial causes. A Bayesian hierarchical model was used to assign probabilities of malaria-attributable fever (MAF) and non-malarial febrile illness (NMFI) to children under five from a dataset of 41 surveys from 21 countries in sub-Saharan Africa conducted between 2006 and 2016. Using subsequent treatment-seeking outcomes, the proportion of MAF and NMFI amongst P. falciparum-positive febrile children presenting at public clinics was estimated. Results Across all surveyed malaria-positive febrile children who sought care at public clinics across 41 country-years in sub-Saharan Africa, P. falciparum infection was estimated to be the underlying cause of only 37.7% (31.1–45.4, 95% CrI) of P. falciparum-positive fevers, with significant geographical and temporal heterogeneity between surveys. Conclusions These findings highlight the complex nature of the P. falciparum burden amongst children under 5 years of age and indicate that for many children presenting at health clinics, a positive P. falciparum diagnosis and a fever does not necessarily mean P. falciparum is the underlying cause of the child’s symptoms, and thus other causes of illness should always be investigated, in addition to prescribing an effective anti-malarial medication. In addition to providing new large-scale estimates of malaria-attributable fever prevalence, the results presented here improve comparability between different methods for calculating P. falciparum disease burden, with significant implications for national and global estimation of malaria burden.
topic Malaria-attributable fever
Burden estimation
Plasmodium falciparum
Fever
url http://link.springer.com/article/10.1186/s12936-019-2830-y
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spelling doaj-7db2cba9d38d4271a92bf6134ead17ac2020-11-25T03:49:31ZengBMCMalaria Journal1475-28752019-06-0118111210.1186/s12936-019-2830-yThe contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan AfricaUrsula Dalrymple0Ewan Cameron1Rohan Arambepola2Katherine E. Battle3Elisabeth G. Chestnutt4Suzanne H. Keddie5Katherine A. Twohig6Daniel A. Pfeffer7Harry S. Gibson8Daniel J. Weiss9Samir Bhatt10Peter W. Gething11Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of OxfordAbstract Background The disease burden of Plasmodium falciparum malaria illness is generally estimated using one of two distinct approaches: either by transforming P. falciparum infection prevalence estimates into incidence estimates using conversion formulae; or through adjustment of counts of recorded P. falciparum-positive fever cases from clinics. Whilst both ostensibly seek to evaluate P. falciparum disease burden, there is an implicit and problematic difference in the metric being estimated. The first enumerates only symptomatic malaria cases, while the second enumerates all febrile episodes coincident with a P. falciparum infection, regardless of the fever’s underlying cause. Methods Here, a novel approach was used to triangulate community-based data sources capturing P. falciparum infection, fever, and care-seeking to estimate the fraction of P. falciparum-positive fevers amongst children under 5 years of age presenting at health facilities that are attributable to P. falciparum infection versus other non-malarial causes. A Bayesian hierarchical model was used to assign probabilities of malaria-attributable fever (MAF) and non-malarial febrile illness (NMFI) to children under five from a dataset of 41 surveys from 21 countries in sub-Saharan Africa conducted between 2006 and 2016. Using subsequent treatment-seeking outcomes, the proportion of MAF and NMFI amongst P. falciparum-positive febrile children presenting at public clinics was estimated. Results Across all surveyed malaria-positive febrile children who sought care at public clinics across 41 country-years in sub-Saharan Africa, P. falciparum infection was estimated to be the underlying cause of only 37.7% (31.1–45.4, 95% CrI) of P. falciparum-positive fevers, with significant geographical and temporal heterogeneity between surveys. Conclusions These findings highlight the complex nature of the P. falciparum burden amongst children under 5 years of age and indicate that for many children presenting at health clinics, a positive P. falciparum diagnosis and a fever does not necessarily mean P. falciparum is the underlying cause of the child’s symptoms, and thus other causes of illness should always be investigated, in addition to prescribing an effective anti-malarial medication. In addition to providing new large-scale estimates of malaria-attributable fever prevalence, the results presented here improve comparability between different methods for calculating P. falciparum disease burden, with significant implications for national and global estimation of malaria burden.http://link.springer.com/article/10.1186/s12936-019-2830-yMalaria-attributable feverBurden estimationPlasmodium falciparumFever