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Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia
Scabies is a parasitic infestation with high global burden. Mass drug administrations (MDAs) are recommended for communities with a scabies prevalence of >10%. Quantitative analyses are needed to demonstrate the likely effectiveness of MDA recommendations. In this study, we developed an agent-bas...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548539/ https://www.ncbi.nlm.nih.gov/pubmed/37593956 http://dx.doi.org/10.1017/S0950268823001310 |
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author | Tellioglu, Nefel Chisholm, Rebecca H. Campbell, Patricia Therese Collinson, Shelui Timothy, Joseph Kollie, Karsor Zayzay, Samuel Devine, Angela McVernon, Jodie Marks, Michael Geard, Nicholas |
author_facet | Tellioglu, Nefel Chisholm, Rebecca H. Campbell, Patricia Therese Collinson, Shelui Timothy, Joseph Kollie, Karsor Zayzay, Samuel Devine, Angela McVernon, Jodie Marks, Michael Geard, Nicholas |
author_sort | Tellioglu, Nefel |
collection | PubMed |
description | Scabies is a parasitic infestation with high global burden. Mass drug administrations (MDAs) are recommended for communities with a scabies prevalence of >10%. Quantitative analyses are needed to demonstrate the likely effectiveness of MDA recommendations. In this study, we developed an agent-based model of scabies transmission calibrated to demographic and epidemiological data from Monrovia. We used this model to compare the effectiveness of MDA scenarios for achieving scabies elimination and reducing scabies burden, as measured by time until recrudescence following delivery of an MDA and disability-adjusted-life-years (DALYs) averted. Our model showed that three rounds of MDA delivered at six-month intervals and reaching 80% of the population could reduce prevalence below 2% for three years following the final round, before recrudescence. When MDAs were followed by increased treatment uptake, prevalence was maintained below 2% indefinitely. Increasing the number of and coverage of MDA rounds increased the probability of achieving elimination and the number of DALYs averted. Our results suggest that acute reduction of scabies prevalence by MDA can support a transition to improved treatment access. This study demonstrates how modelling can be used to estimate the expected impact of MDAs by projecting future epidemiological dynamics and health gains under alternative scenarios. |
format | Online Article Text |
id | pubmed-10548539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105485392023-10-05 Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia Tellioglu, Nefel Chisholm, Rebecca H. Campbell, Patricia Therese Collinson, Shelui Timothy, Joseph Kollie, Karsor Zayzay, Samuel Devine, Angela McVernon, Jodie Marks, Michael Geard, Nicholas Epidemiol Infect Original Paper Scabies is a parasitic infestation with high global burden. Mass drug administrations (MDAs) are recommended for communities with a scabies prevalence of >10%. Quantitative analyses are needed to demonstrate the likely effectiveness of MDA recommendations. In this study, we developed an agent-based model of scabies transmission calibrated to demographic and epidemiological data from Monrovia. We used this model to compare the effectiveness of MDA scenarios for achieving scabies elimination and reducing scabies burden, as measured by time until recrudescence following delivery of an MDA and disability-adjusted-life-years (DALYs) averted. Our model showed that three rounds of MDA delivered at six-month intervals and reaching 80% of the population could reduce prevalence below 2% for three years following the final round, before recrudescence. When MDAs were followed by increased treatment uptake, prevalence was maintained below 2% indefinitely. Increasing the number of and coverage of MDA rounds increased the probability of achieving elimination and the number of DALYs averted. Our results suggest that acute reduction of scabies prevalence by MDA can support a transition to improved treatment access. This study demonstrates how modelling can be used to estimate the expected impact of MDAs by projecting future epidemiological dynamics and health gains under alternative scenarios. Cambridge University Press 2023-08-18 /pmc/articles/PMC10548539/ /pubmed/37593956 http://dx.doi.org/10.1017/S0950268823001310 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Paper Tellioglu, Nefel Chisholm, Rebecca H. Campbell, Patricia Therese Collinson, Shelui Timothy, Joseph Kollie, Karsor Zayzay, Samuel Devine, Angela McVernon, Jodie Marks, Michael Geard, Nicholas Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia |
title | Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia |
title_full | Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia |
title_fullStr | Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia |
title_full_unstemmed | Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia |
title_short | Modelling mass drug administration strategies for reducing scabies burden in Monrovia, Liberia |
title_sort | modelling mass drug administration strategies for reducing scabies burden in monrovia, liberia |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548539/ https://www.ncbi.nlm.nih.gov/pubmed/37593956 http://dx.doi.org/10.1017/S0950268823001310 |
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