Cargando…
Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws
The World Health Organization is currently developing 2030 goals for neglected tropical diseases (NTDs). In these, yaws has been targeted for eradication by 2030, with 50% of member states certified free of yaws transmission by 2023. Here we summarise the yaws modelling literature and discuss the pr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913063/ https://www.ncbi.nlm.nih.gov/pubmed/31886455 http://dx.doi.org/10.12688/gatesopenres.13078.1 |
_version_ | 1783479598582857728 |
---|---|
author | Dyson, Louise Mooring, Eric Q. Holmes, Alex Tildesley, Michael J. Marks, Michael |
author_facet | Dyson, Louise Mooring, Eric Q. Holmes, Alex Tildesley, Michael J. Marks, Michael |
author_sort | Dyson, Louise |
collection | PubMed |
description | The World Health Organization is currently developing 2030 goals for neglected tropical diseases (NTDs). In these, yaws has been targeted for eradication by 2030, with 50% of member states certified free of yaws transmission by 2023. Here we summarise the yaws modelling literature and discuss the proposed goal and strategy. The current Morges strategy involves rounds of Total Community Treatment (TCT), in which all members of the community are treated, and Total Targeted Treatment (TTT), treating active cases and their contacts. However, modelling and empirical work suggest that latent infections are often not found in the same household as active cases, reducing the utility of household-based contact tracing for a TTT strategy. Economic modelling has also discovered uncertainty in the cost of eradication, requiring further data to give greater information. We also note the need for improved active surveillance in previously endemic countries, in order to plan future intervention efforts and ensure global eradication. |
format | Online Article Text |
id | pubmed-6913063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-69130632019-12-27 Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws Dyson, Louise Mooring, Eric Q. Holmes, Alex Tildesley, Michael J. Marks, Michael Gates Open Res Open Letter The World Health Organization is currently developing 2030 goals for neglected tropical diseases (NTDs). In these, yaws has been targeted for eradication by 2030, with 50% of member states certified free of yaws transmission by 2023. Here we summarise the yaws modelling literature and discuss the proposed goal and strategy. The current Morges strategy involves rounds of Total Community Treatment (TCT), in which all members of the community are treated, and Total Targeted Treatment (TTT), treating active cases and their contacts. However, modelling and empirical work suggest that latent infections are often not found in the same household as active cases, reducing the utility of household-based contact tracing for a TTT strategy. Economic modelling has also discovered uncertainty in the cost of eradication, requiring further data to give greater information. We also note the need for improved active surveillance in previously endemic countries, in order to plan future intervention efforts and ensure global eradication. F1000 Research Limited 2019-10-16 /pmc/articles/PMC6913063/ /pubmed/31886455 http://dx.doi.org/10.12688/gatesopenres.13078.1 Text en Copyright: © 2019 Dyson L et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Open Letter Dyson, Louise Mooring, Eric Q. Holmes, Alex Tildesley, Michael J. Marks, Michael Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws |
title | Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws |
title_full | Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws |
title_fullStr | Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws |
title_full_unstemmed | Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws |
title_short | Insights from quantitative and mathematical modelling on the proposed 2030 goals for Yaws |
title_sort | insights from quantitative and mathematical modelling on the proposed 2030 goals for yaws |
topic | Open Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913063/ https://www.ncbi.nlm.nih.gov/pubmed/31886455 http://dx.doi.org/10.12688/gatesopenres.13078.1 |
work_keys_str_mv | AT dysonlouise insightsfromquantitativeandmathematicalmodellingontheproposed2030goalsforyaws AT mooringericq insightsfromquantitativeandmathematicalmodellingontheproposed2030goalsforyaws AT holmesalex insightsfromquantitativeandmathematicalmodellingontheproposed2030goalsforyaws AT tildesleymichaelj insightsfromquantitativeandmathematicalmodellingontheproposed2030goalsforyaws AT marksmichael insightsfromquantitativeandmathematicalmodellingontheproposed2030goalsforyaws |