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The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling

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The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling. / Barrett, Carrie; Chiphwanya, John; Mkwanda, Square et al.
In: PLoS Neglected Tropical Diseases, 25.03.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Barrett, C, Chiphwanya, J, Mkwanda, S, Matipula, DE, Ndhlovu, P, Chaponda, L, Turner, JD, Giorgi, E, Betts, H, Martindale, S, Taylor, MJ & Read, J 2024, 'The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling', PLoS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0012056

APA

Barrett, C., Chiphwanya, J., Mkwanda, S., Matipula, D. E., Ndhlovu, P., Chaponda, L., Turner, J. D., Giorgi, E., Betts, H., Martindale, S., Taylor, M. J., & Read, J. (2024). The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling. PLoS Neglected Tropical Diseases, Article e0012056. https://doi.org/10.1371/journal.pntd.0012056

Vancouver

Barrett C, Chiphwanya J, Mkwanda S, Matipula DE, Ndhlovu P, Chaponda L et al. The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling. PLoS Neglected Tropical Diseases. 2024 Mar 25;e0012056. doi: 10.1371/journal.pntd.0012056

Author

Barrett, Carrie ; Chiphwanya, John ; Mkwanda, Square et al. / The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling. In: PLoS Neglected Tropical Diseases. 2024.

Bibtex

@article{9f11da59d1c24fe9a213da3102a885ba,
title = "The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling",
abstract = "BackgroundIn 2020 the World Health Organization (WHO) declared that Malawi had successfully eliminated lymphatic filariasis (LF) as a public health problem. Understanding clinical case distributions at a national and sub-national level is important, so essential care packages can be provided to individuals living with LF symptoms. This study aimed to develop a national database and map of LF clinical case numbers across Malawi using geostatistical modelling approaches, programme-identified clinical cases, antigenaemia prevalence and climate information.MethodologyLF clinical cases identified through programme house-to-house surveys across 90 sub-district administrative boundaries (Traditional Authority (TA)) and antigenaemia prevalence from 57 sampled villages in Malawi were used in a two-step geostatistical modelling process to predict LF clinical cases across all TAs of the country. First, we modelled antigenaemia prevalence in relation to climate covariates to predict nationwide antigenaemia prevalence. Second, we modelled clinical cases for unmapped TAs based on our antigenaemia prevalence spatial estimates.Principle findingsThe models estimated 20,938 (95% CrI 18,091 to 24,071) clinical cases in unmapped TAs (70.3%) in addition to the 8,856 (29.7%), programme-identified cases in mapped TAs. In total, the overall national number of LF clinical cases was estimated to be 29,794 (95% CrI 26,957 to 32,927). The antigenaemia prevalence and clinical case mapping and modelling found the highest burden of disease in Chikwawa and Nsanje districts in the Southern Region and Karonga district in the Northern Region of the country.ConclusionsThe models presented in this study have facilitated the development of the first national LF clinical case database and map in Malawi, the first endemic country in sub-Saharan Africa. It highlights the value of using existing LF antigenaemia prevalence and clinical case data together with modelling approaches to produce estimates that may be used for the WHO dossier requirements, to help target limited resources and implement long-term health strategies.",
author = "Carrie Barrett and John Chiphwanya and Square Mkwanda and Matipula, {Dorothy E.} and Paul Ndhlovu and Limbikani Chaponda and Turner, {Joseph D.} and Emanuele Giorgi and Hannah Betts and Sarah Martindale and Taylor, {Mark J} and Jonathan Read",
year = "2024",
month = mar,
day = "25",
doi = "10.1371/journal.pntd.0012056",
language = "English",
journal = "PLoS Neglected Tropical Diseases",
issn = "1935-2727",
publisher = "Public Library of Science",

}

RIS

TY - JOUR

T1 - The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling

AU - Barrett, Carrie

AU - Chiphwanya, John

AU - Mkwanda, Square

AU - Matipula, Dorothy E.

AU - Ndhlovu, Paul

AU - Chaponda, Limbikani

AU - Turner, Joseph D.

AU - Giorgi, Emanuele

AU - Betts, Hannah

AU - Martindale, Sarah

AU - Taylor, Mark J

AU - Read, Jonathan

PY - 2024/3/25

Y1 - 2024/3/25

N2 - BackgroundIn 2020 the World Health Organization (WHO) declared that Malawi had successfully eliminated lymphatic filariasis (LF) as a public health problem. Understanding clinical case distributions at a national and sub-national level is important, so essential care packages can be provided to individuals living with LF symptoms. This study aimed to develop a national database and map of LF clinical case numbers across Malawi using geostatistical modelling approaches, programme-identified clinical cases, antigenaemia prevalence and climate information.MethodologyLF clinical cases identified through programme house-to-house surveys across 90 sub-district administrative boundaries (Traditional Authority (TA)) and antigenaemia prevalence from 57 sampled villages in Malawi were used in a two-step geostatistical modelling process to predict LF clinical cases across all TAs of the country. First, we modelled antigenaemia prevalence in relation to climate covariates to predict nationwide antigenaemia prevalence. Second, we modelled clinical cases for unmapped TAs based on our antigenaemia prevalence spatial estimates.Principle findingsThe models estimated 20,938 (95% CrI 18,091 to 24,071) clinical cases in unmapped TAs (70.3%) in addition to the 8,856 (29.7%), programme-identified cases in mapped TAs. In total, the overall national number of LF clinical cases was estimated to be 29,794 (95% CrI 26,957 to 32,927). The antigenaemia prevalence and clinical case mapping and modelling found the highest burden of disease in Chikwawa and Nsanje districts in the Southern Region and Karonga district in the Northern Region of the country.ConclusionsThe models presented in this study have facilitated the development of the first national LF clinical case database and map in Malawi, the first endemic country in sub-Saharan Africa. It highlights the value of using existing LF antigenaemia prevalence and clinical case data together with modelling approaches to produce estimates that may be used for the WHO dossier requirements, to help target limited resources and implement long-term health strategies.

AB - BackgroundIn 2020 the World Health Organization (WHO) declared that Malawi had successfully eliminated lymphatic filariasis (LF) as a public health problem. Understanding clinical case distributions at a national and sub-national level is important, so essential care packages can be provided to individuals living with LF symptoms. This study aimed to develop a national database and map of LF clinical case numbers across Malawi using geostatistical modelling approaches, programme-identified clinical cases, antigenaemia prevalence and climate information.MethodologyLF clinical cases identified through programme house-to-house surveys across 90 sub-district administrative boundaries (Traditional Authority (TA)) and antigenaemia prevalence from 57 sampled villages in Malawi were used in a two-step geostatistical modelling process to predict LF clinical cases across all TAs of the country. First, we modelled antigenaemia prevalence in relation to climate covariates to predict nationwide antigenaemia prevalence. Second, we modelled clinical cases for unmapped TAs based on our antigenaemia prevalence spatial estimates.Principle findingsThe models estimated 20,938 (95% CrI 18,091 to 24,071) clinical cases in unmapped TAs (70.3%) in addition to the 8,856 (29.7%), programme-identified cases in mapped TAs. In total, the overall national number of LF clinical cases was estimated to be 29,794 (95% CrI 26,957 to 32,927). The antigenaemia prevalence and clinical case mapping and modelling found the highest burden of disease in Chikwawa and Nsanje districts in the Southern Region and Karonga district in the Northern Region of the country.ConclusionsThe models presented in this study have facilitated the development of the first national LF clinical case database and map in Malawi, the first endemic country in sub-Saharan Africa. It highlights the value of using existing LF antigenaemia prevalence and clinical case data together with modelling approaches to produce estimates that may be used for the WHO dossier requirements, to help target limited resources and implement long-term health strategies.

U2 - 10.1371/journal.pntd.0012056

DO - 10.1371/journal.pntd.0012056

M3 - Journal article

JO - PLoS Neglected Tropical Diseases

JF - PLoS Neglected Tropical Diseases

SN - 1935-2727

M1 - e0012056

ER -