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Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children

In 2012, the World Health Organisation (WHO) set out a roadmap for eliminating schistosomiasis as a public health problem by 2025. To achieve this target, preschool-aged children (PSAC; aged 6 years and below) will need to be included in schistosomiasis treatment programmes. As the global community...

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Autores principales: Lim, Rivka M., Woolhouse, Mark E. J., Mduluza, Takafira, Chase-Topping, Margo, Osakunor, Derick N. M., Chitsulo, Lester, Mutapi, Francisca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529243/
https://www.ncbi.nlm.nih.gov/pubmed/33001969
http://dx.doi.org/10.1371/journal.pntd.0008650
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author Lim, Rivka M.
Woolhouse, Mark E. J.
Mduluza, Takafira
Chase-Topping, Margo
Osakunor, Derick N. M.
Chitsulo, Lester
Mutapi, Francisca
author_facet Lim, Rivka M.
Woolhouse, Mark E. J.
Mduluza, Takafira
Chase-Topping, Margo
Osakunor, Derick N. M.
Chitsulo, Lester
Mutapi, Francisca
author_sort Lim, Rivka M.
collection PubMed
description In 2012, the World Health Organisation (WHO) set out a roadmap for eliminating schistosomiasis as a public health problem by 2025. To achieve this target, preschool-aged children (PSAC; aged 6 years and below) will need to be included in schistosomiasis treatment programmes. As the global community discusses the tools and approaches for treating this group, one of the main questions that remains unanswered is how to quantify infection in this age group to inform treatment strategies. The aim of this study was thus to determine whether a relationship exists between levels of schistosome infection in PSAC and school-aged children (SAC), that can be used to determine unknown schistosome infection prevalence levels in PSAC. A systematic search of publications reporting schistosomiasis prevalence in African PSAC and SAC was conducted. The search strategy was formulated using the PRISMA guidelines and SPIDER search strategy tool. The published data was subjected to regression analysis to determine if a relationship exists between infection levels in PSAC and SAC. The interaction between SAC and community treatment history was also entered in the regression model to determine if treatment history significantly affected the relationship between PSAC and SAC prevalence. The results showed that a significant positive relationship exists between infection prevalence levels in PSAC and SAC for Schistosoma mansoni (r = 0.812, df (88, 1), p = <0.0001) and S. haematobium (r = 0.786, df (53, 1), p = <0.0001). The relationship was still significant after allowing for diagnostic method, treatment history, and the African sub-region where the study was conducted (S. mansoni: F = 25.63, df (88, 9), p = <0.0001; S. haematobium: F = 10.20, df (53, 10), p = <0.0001). Using the regression equation for PSAC and SAC prevalence, over 90% of the PSAC prevalence studies were placed in the correct WHO classifications category based on the SAC levels, regardless of treatment history. The study indicated that schistosome prevalence in SAC can be extended as a proxy for infection levels in PSAC, extending on its current use in the adult population. SAC prevalence data could identify where there is a need to accelerate and facilitate the treatment of PSAC for schistosomiasis in Africa.
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spelling pubmed-75292432020-10-02 Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children Lim, Rivka M. Woolhouse, Mark E. J. Mduluza, Takafira Chase-Topping, Margo Osakunor, Derick N. M. Chitsulo, Lester Mutapi, Francisca PLoS Negl Trop Dis Research Article In 2012, the World Health Organisation (WHO) set out a roadmap for eliminating schistosomiasis as a public health problem by 2025. To achieve this target, preschool-aged children (PSAC; aged 6 years and below) will need to be included in schistosomiasis treatment programmes. As the global community discusses the tools and approaches for treating this group, one of the main questions that remains unanswered is how to quantify infection in this age group to inform treatment strategies. The aim of this study was thus to determine whether a relationship exists between levels of schistosome infection in PSAC and school-aged children (SAC), that can be used to determine unknown schistosome infection prevalence levels in PSAC. A systematic search of publications reporting schistosomiasis prevalence in African PSAC and SAC was conducted. The search strategy was formulated using the PRISMA guidelines and SPIDER search strategy tool. The published data was subjected to regression analysis to determine if a relationship exists between infection levels in PSAC and SAC. The interaction between SAC and community treatment history was also entered in the regression model to determine if treatment history significantly affected the relationship between PSAC and SAC prevalence. The results showed that a significant positive relationship exists between infection prevalence levels in PSAC and SAC for Schistosoma mansoni (r = 0.812, df (88, 1), p = <0.0001) and S. haematobium (r = 0.786, df (53, 1), p = <0.0001). The relationship was still significant after allowing for diagnostic method, treatment history, and the African sub-region where the study was conducted (S. mansoni: F = 25.63, df (88, 9), p = <0.0001; S. haematobium: F = 10.20, df (53, 10), p = <0.0001). Using the regression equation for PSAC and SAC prevalence, over 90% of the PSAC prevalence studies were placed in the correct WHO classifications category based on the SAC levels, regardless of treatment history. The study indicated that schistosome prevalence in SAC can be extended as a proxy for infection levels in PSAC, extending on its current use in the adult population. SAC prevalence data could identify where there is a need to accelerate and facilitate the treatment of PSAC for schistosomiasis in Africa. Public Library of Science 2020-10-01 /pmc/articles/PMC7529243/ /pubmed/33001969 http://dx.doi.org/10.1371/journal.pntd.0008650 Text en © 2020 Lim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lim, Rivka M.
Woolhouse, Mark E. J.
Mduluza, Takafira
Chase-Topping, Margo
Osakunor, Derick N. M.
Chitsulo, Lester
Mutapi, Francisca
Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children
title Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children
title_full Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children
title_fullStr Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children
title_full_unstemmed Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children
title_short Investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children
title_sort investigating a strategy for quantifying schistosome infection levels in preschool-aged children using prevalence data from school-aged children
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529243/
https://www.ncbi.nlm.nih.gov/pubmed/33001969
http://dx.doi.org/10.1371/journal.pntd.0008650
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