Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Insights from quantitative and mathematical modelling on the proposed 2030 goals for yaws

Tools
- Tools
+ Tools

Dyson, Louise, Mooring, Eric Q., Holmes, Alexander, Tildesley, Michael J. and Marks, Michael (2019) Insights from quantitative and mathematical modelling on the proposed 2030 goals for yaws. Gates Open Research, 3 . 1576. doi:10.12688/gatesopenres.13078.1

[img]
Preview
PDF
WRAP-insights-quantitative-mathematical-modelling-proposed-2030-goals-yaws-Dyson-2019.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (300Kb) | Preview
[img] PDF
maths-061219-wrap--yaws_open_letter_.pdf - Submitted Version
Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer.

Download (141Kb)
Official URL: http://dx.doi.org/10.12688/gatesopenres.13078.1

Request Changes to record.

Abstract

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.
Keywords

Item Type: Journal Article
Subjects: R Medicine > RC Internal medicine
Divisions: Faculty of Science > Life Sciences (2010- )
Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH): Yaws , Yaws -- Mathematical models, Tropical medicine -- Mathematical models
Journal or Publication Title: Gates Open Research
Publisher: F1000Research
ISSN: 2572-4754
Official Date: 16 October 2019
Dates:
DateEvent
16 October 2019Available
16 October 2019Accepted
Volume: 3
Article Number: 1576
DOI: 10.12688/gatesopenres.13078.1
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
OPP1184344Bill and Melinda Gates Foundationhttp://dx.doi.org/10.13039/100000865
T32 AI 007535National Institutes of Healthhttp://dx.doi.org/10.13039/100000002

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us