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Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme

BACKGROUND: Kenya is endemic for soil-transmitted helminths (STH) with over 6 million children in 27 counties currently at-risk. A national school-based deworming programme (NSBDP) was launched in 2012 with a goal to eliminate parasitic worms as a public health problem. This study used model-based g...

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Autores principales: Okoyo, Collins, Minnery, Mark, Orowe, Idah, Owaga, Chrispin, Campbell, Suzy J., Wambugu, Christin, Olick, Nereah, Hagemann, Jane, Omondi, Wyckliff P., McCracken, Kate, Montresor, Antonio, Medley, Graham F., Fronterre, Claudio, Diggle, Peter, Mwandawiro, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565763/
https://www.ncbi.nlm.nih.gov/pubmed/37829802
http://dx.doi.org/10.1016/j.heliyon.2023.e20695
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author Okoyo, Collins
Minnery, Mark
Orowe, Idah
Owaga, Chrispin
Campbell, Suzy J.
Wambugu, Christin
Olick, Nereah
Hagemann, Jane
Omondi, Wyckliff P.
McCracken, Kate
Montresor, Antonio
Medley, Graham F.
Fronterre, Claudio
Diggle, Peter
Mwandawiro, Charles
author_facet Okoyo, Collins
Minnery, Mark
Orowe, Idah
Owaga, Chrispin
Campbell, Suzy J.
Wambugu, Christin
Olick, Nereah
Hagemann, Jane
Omondi, Wyckliff P.
McCracken, Kate
Montresor, Antonio
Medley, Graham F.
Fronterre, Claudio
Diggle, Peter
Mwandawiro, Charles
author_sort Okoyo, Collins
collection PubMed
description BACKGROUND: Kenya is endemic for soil-transmitted helminths (STH) with over 6 million children in 27 counties currently at-risk. A national school-based deworming programme (NSBDP) was launched in 2012 with a goal to eliminate parasitic worms as a public health problem. This study used model-based geostatistical (MBG) approach to design and analyse the impact of the NSBDP and inform treatment strategy changes. METHODS: A cross-sectional study was used to survey 200 schools across 27 counties in Kenya. The study design, school selection and analysis followed the MBG approach which incorporated historical data on treatment, morbidity and environmental covariates to efficiently predict the helminths prevalence in Kenya. RESULTS: Overall, the NSBDP geographic area prevalence for any STH was estimated to sit between 2 % and <10 % with a high predictive probability of >0.999. Species-specific thresholds were between 2 % and <10 % for Ascaris lumbricoides, 0 % to <2 % for hookworm, and 0 % to <2 % for Trichuris trichiura, all with high predictive probability of >0.999. CONCLUSIONS: Based on the World Health Organization guidelines, STH treatment requirements can now be confidently refined. Ten counties may consider suspending treatment and implement appropriate surveillance system, while another 10 will require treatment once every two years, and the remaining seven will require treatment once every year.
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spelling pubmed-105657632023-10-12 Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme Okoyo, Collins Minnery, Mark Orowe, Idah Owaga, Chrispin Campbell, Suzy J. Wambugu, Christin Olick, Nereah Hagemann, Jane Omondi, Wyckliff P. McCracken, Kate Montresor, Antonio Medley, Graham F. Fronterre, Claudio Diggle, Peter Mwandawiro, Charles Heliyon Research Article BACKGROUND: Kenya is endemic for soil-transmitted helminths (STH) with over 6 million children in 27 counties currently at-risk. A national school-based deworming programme (NSBDP) was launched in 2012 with a goal to eliminate parasitic worms as a public health problem. This study used model-based geostatistical (MBG) approach to design and analyse the impact of the NSBDP and inform treatment strategy changes. METHODS: A cross-sectional study was used to survey 200 schools across 27 counties in Kenya. The study design, school selection and analysis followed the MBG approach which incorporated historical data on treatment, morbidity and environmental covariates to efficiently predict the helminths prevalence in Kenya. RESULTS: Overall, the NSBDP geographic area prevalence for any STH was estimated to sit between 2 % and <10 % with a high predictive probability of >0.999. Species-specific thresholds were between 2 % and <10 % for Ascaris lumbricoides, 0 % to <2 % for hookworm, and 0 % to <2 % for Trichuris trichiura, all with high predictive probability of >0.999. CONCLUSIONS: Based on the World Health Organization guidelines, STH treatment requirements can now be confidently refined. Ten counties may consider suspending treatment and implement appropriate surveillance system, while another 10 will require treatment once every two years, and the remaining seven will require treatment once every year. Elsevier 2023-10-05 /pmc/articles/PMC10565763/ /pubmed/37829802 http://dx.doi.org/10.1016/j.heliyon.2023.e20695 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/3.0/igo/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/).
spellingShingle Research Article
Okoyo, Collins
Minnery, Mark
Orowe, Idah
Owaga, Chrispin
Campbell, Suzy J.
Wambugu, Christin
Olick, Nereah
Hagemann, Jane
Omondi, Wyckliff P.
McCracken, Kate
Montresor, Antonio
Medley, Graham F.
Fronterre, Claudio
Diggle, Peter
Mwandawiro, Charles
Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme
title Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme
title_full Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme
title_fullStr Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme
title_full_unstemmed Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme
title_short Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme
title_sort model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in kenya: results from ten-years of the kenya national school-based deworming programme
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565763/
https://www.ncbi.nlm.nih.gov/pubmed/37829802
http://dx.doi.org/10.1016/j.heliyon.2023.e20695
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