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Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo
Gambiense human African trypanosomiasis (gHAT) is marked for elimination of transmission by 2030, but the disease persists in several low-income countries. We couple transmission and health outcomes models to examine the cost-effectiveness of four gHAT elimination strategies in five settings – spann...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881616/ https://www.ncbi.nlm.nih.gov/pubmed/35217656 http://dx.doi.org/10.1038/s41467-022-28598-w |
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author | Antillon, Marina Huang, Ching-I Crump, Ronald E. Brown, Paul E. Snijders, Rian Miaka, Erick Mwamba Keeling, Matt J. Rock, Kat S. Tediosi, Fabrizio |
author_facet | Antillon, Marina Huang, Ching-I Crump, Ronald E. Brown, Paul E. Snijders, Rian Miaka, Erick Mwamba Keeling, Matt J. Rock, Kat S. Tediosi, Fabrizio |
author_sort | Antillon, Marina |
collection | PubMed |
description | Gambiense human African trypanosomiasis (gHAT) is marked for elimination of transmission by 2030, but the disease persists in several low-income countries. We couple transmission and health outcomes models to examine the cost-effectiveness of four gHAT elimination strategies in five settings – spanning low- to high-risk – of the Democratic Republic of Congo. Alongside passive screening in fixed health facilities, the strategies include active screening at average or intensified coverage levels, alone or with vector control with a scale-back algorithm when no cases are reported for three consecutive years. In high or moderate-risk settings, costs of gHAT strategies are primarily driven by active screening and, if used, vector control. Due to the cessation of active screening and vector control, most investments (75-80%) are made by 2030 and vector control might be cost-saving while ensuring elimination of transmission. In low-risk settings, costs are driven by passive screening, and minimum-cost strategies consisting of active screening and passive screening lead to elimination of transmission by 2030 with high probability. |
format | Online Article Text |
id | pubmed-8881616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88816162022-03-17 Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo Antillon, Marina Huang, Ching-I Crump, Ronald E. Brown, Paul E. Snijders, Rian Miaka, Erick Mwamba Keeling, Matt J. Rock, Kat S. Tediosi, Fabrizio Nat Commun Article Gambiense human African trypanosomiasis (gHAT) is marked for elimination of transmission by 2030, but the disease persists in several low-income countries. We couple transmission and health outcomes models to examine the cost-effectiveness of four gHAT elimination strategies in five settings – spanning low- to high-risk – of the Democratic Republic of Congo. Alongside passive screening in fixed health facilities, the strategies include active screening at average or intensified coverage levels, alone or with vector control with a scale-back algorithm when no cases are reported for three consecutive years. In high or moderate-risk settings, costs of gHAT strategies are primarily driven by active screening and, if used, vector control. Due to the cessation of active screening and vector control, most investments (75-80%) are made by 2030 and vector control might be cost-saving while ensuring elimination of transmission. In low-risk settings, costs are driven by passive screening, and minimum-cost strategies consisting of active screening and passive screening lead to elimination of transmission by 2030 with high probability. Nature Publishing Group UK 2022-02-25 /pmc/articles/PMC8881616/ /pubmed/35217656 http://dx.doi.org/10.1038/s41467-022-28598-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Antillon, Marina Huang, Ching-I Crump, Ronald E. Brown, Paul E. Snijders, Rian Miaka, Erick Mwamba Keeling, Matt J. Rock, Kat S. Tediosi, Fabrizio Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo |
title | Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo |
title_full | Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo |
title_fullStr | Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo |
title_full_unstemmed | Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo |
title_short | Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo |
title_sort | cost-effectiveness of sleeping sickness elimination campaigns in five settings of the democratic republic of congo |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881616/ https://www.ncbi.nlm.nih.gov/pubmed/35217656 http://dx.doi.org/10.1038/s41467-022-28598-w |
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