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Strengthening data collection for neglected tropical diseases: What data are needed for models to better inform tailored intervention programmes?

  • Jaspreet Toor*
  • , Jonathan I.D. Hamley
  • , Claudio Fronterre
  • , María Soledad Castaño
  • , Lloyd A.C. Chapman
  • , Luc E. Coffeng
  • , Federica Giardina
  • , Thomas M. Lietman
  • , Edwin Michael
  • , Amy Pinsent
  • , Epke A. Le Rutte
  • , T. Déirdre Hollingsworth
  • *Corresponding author for this work
  • University of Oxford
  • Imperial College London
  • Lancaster University
  • Swiss Tropical and Public Health Institute
  • University of Basel
  • London School of Hygiene and Tropical Medicine
  • University of California at San Francisco
  • University of Notre Dame

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)
67 Downloads (Pure)

Abstract

Locally tailored interventions for neglected tropical diseases (NTDs) are becoming increas-ingly important for ensuring that the World Health Organization (WHO) goals for control and elimination are reached. Mathematical models, such as those developed by the NTD Modelling Consortium, are able to offer recommendations on interventions but remain constrained by the data currently available. Data collection for NTDs needs to be strengthened as better data are required to indirectly inform transmission in an area. Addressing specific data needs will improve our modelling recommendations, enabling more accurate tailoring of interventions and assessment of their progress. In this collection, we discuss the data needs for several NTDs, specifically gambiense human African trypanosomiasis, lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminths (STH), trachoma, and visceral leishmaniasis. Similarities in the data needs for these NTDs highlight the potential for integration across these diseases and where possible, a wider spectrum of diseases.

Original languageEnglish
Article numbere0009351
JournalPLoS Neglected Tropical Diseases
Volume15
Issue number5
DOIs
Publication statusPublished - May 2021

Bibliographical note

Funding Information:
All authors gratefully acknowledge funding of the NTD Modelling Consortium by the Bill and Melinda Gates Foundation [OPP1184344]. JIDH acknowledges joint center funding for MRC GIDA (MRC Centre for Global Infectious Disease Analysis) [grant number MR/R015600/1] by the UK Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement, which is also part of the EDCTP2 program supported by the European Union. LEC acknowledges funding from the Dutch Research Council [grant number 016.Veni.178.023]. LACC acknowledges funding of the SPEAK India consortium by the Bill and Melinda Gates Foundation [OPP1183986]. FG acknowledges funding from a European Marie Sk?odowska-Curie fellowship [H2020-COFUND-2015-FP-707404]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright: © 2021 Toor et al.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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