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Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya

BACKGROUND: As many countries with endemic soil-transmitted helminth (STH) burdens achieve high coverage levels of mass drug administration (MDA) to treat school-aged and pre-school-aged children, understanding the detailed effects of MDA on the epidemiology of STH infections is desirable in formula...

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Autores principales: Truscott, James E., Ower, Alison K., Werkman, Marleen, Halliday, Katherine, Oswald, William E., Gichuki, Paul M., Mcharo, Carlos, Brooker, Simon, Njenga, Sammy M., Mwandariwo, Charles, Walson, Judd L., Pullan, Rachel, Anderson, Roy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745791/
https://www.ncbi.nlm.nih.gov/pubmed/31522687
http://dx.doi.org/10.1186/s13071-019-3686-2
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author Truscott, James E.
Ower, Alison K.
Werkman, Marleen
Halliday, Katherine
Oswald, William E.
Gichuki, Paul M.
Mcharo, Carlos
Brooker, Simon
Njenga, Sammy M.
Mwandariwo, Charles
Walson, Judd L.
Pullan, Rachel
Anderson, Roy
author_facet Truscott, James E.
Ower, Alison K.
Werkman, Marleen
Halliday, Katherine
Oswald, William E.
Gichuki, Paul M.
Mcharo, Carlos
Brooker, Simon
Njenga, Sammy M.
Mwandariwo, Charles
Walson, Judd L.
Pullan, Rachel
Anderson, Roy
author_sort Truscott, James E.
collection PubMed
description BACKGROUND: As many countries with endemic soil-transmitted helminth (STH) burdens achieve high coverage levels of mass drug administration (MDA) to treat school-aged and pre-school-aged children, understanding the detailed effects of MDA on the epidemiology of STH infections is desirable in formulating future policies for morbidity and/or transmission control. Prevalence and mean intensity of infection are characterized by heterogeneity across a region, leading to uncertainty in the impact of MDA strategies. In this paper, we analyze this heterogeneity in terms of factors that govern the transmission dynamics of the parasite in the host population. RESULTS: Using data from the TUMIKIA study in Kenya (cluster STH prevalence range at baseline: 0–63%), we estimated these parameters and their variability across 120 population clusters in the study region, using a simple parasite transmission model and Gibbs-sampling Monte Carlo Markov chain techniques. We observed great heterogeneity in R(0) values, with estimates ranging from 1.23 to 3.27, while k-values (which vary inversely with the degree of parasite aggregation within the human host population) range from 0.007 to 0.29 in a positive association with increasing prevalence. The main finding of this study is the increasing trend for greater parasite aggregation as prevalence declines to low levels, reflected in the low values of the negative binomial parameter k in clusters with low hookworm prevalence. Localized climatic and socioeconomic factors are investigated as potential drivers of these observed epidemiological patterns. CONCLUSIONS: Our results show that lower prevalence is associated with higher degrees of aggregation and hence prevalence alone is not a good indicator of transmission intensity. As a consequence, approaches to MDA and monitoring and evaluation of community infection status may need to be adapted as transmission elimination is aimed for by targeted treatment approaches.
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spelling pubmed-67457912019-09-18 Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya Truscott, James E. Ower, Alison K. Werkman, Marleen Halliday, Katherine Oswald, William E. Gichuki, Paul M. Mcharo, Carlos Brooker, Simon Njenga, Sammy M. Mwandariwo, Charles Walson, Judd L. Pullan, Rachel Anderson, Roy Parasit Vectors Research BACKGROUND: As many countries with endemic soil-transmitted helminth (STH) burdens achieve high coverage levels of mass drug administration (MDA) to treat school-aged and pre-school-aged children, understanding the detailed effects of MDA on the epidemiology of STH infections is desirable in formulating future policies for morbidity and/or transmission control. Prevalence and mean intensity of infection are characterized by heterogeneity across a region, leading to uncertainty in the impact of MDA strategies. In this paper, we analyze this heterogeneity in terms of factors that govern the transmission dynamics of the parasite in the host population. RESULTS: Using data from the TUMIKIA study in Kenya (cluster STH prevalence range at baseline: 0–63%), we estimated these parameters and their variability across 120 population clusters in the study region, using a simple parasite transmission model and Gibbs-sampling Monte Carlo Markov chain techniques. We observed great heterogeneity in R(0) values, with estimates ranging from 1.23 to 3.27, while k-values (which vary inversely with the degree of parasite aggregation within the human host population) range from 0.007 to 0.29 in a positive association with increasing prevalence. The main finding of this study is the increasing trend for greater parasite aggregation as prevalence declines to low levels, reflected in the low values of the negative binomial parameter k in clusters with low hookworm prevalence. Localized climatic and socioeconomic factors are investigated as potential drivers of these observed epidemiological patterns. CONCLUSIONS: Our results show that lower prevalence is associated with higher degrees of aggregation and hence prevalence alone is not a good indicator of transmission intensity. As a consequence, approaches to MDA and monitoring and evaluation of community infection status may need to be adapted as transmission elimination is aimed for by targeted treatment approaches. BioMed Central 2019-09-16 /pmc/articles/PMC6745791/ /pubmed/31522687 http://dx.doi.org/10.1186/s13071-019-3686-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Truscott, James E.
Ower, Alison K.
Werkman, Marleen
Halliday, Katherine
Oswald, William E.
Gichuki, Paul M.
Mcharo, Carlos
Brooker, Simon
Njenga, Sammy M.
Mwandariwo, Charles
Walson, Judd L.
Pullan, Rachel
Anderson, Roy
Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya
title Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya
title_full Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya
title_fullStr Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya
title_full_unstemmed Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya
title_short Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya
title_sort heterogeneity in transmission parameters of hookworm infection within the baseline data from the tumikia study in kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745791/
https://www.ncbi.nlm.nih.gov/pubmed/31522687
http://dx.doi.org/10.1186/s13071-019-3686-2
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