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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10565763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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