TY - JOUR
T1 - Strengthening data collection for neglected tropical diseases
T2 - What data are needed for models to better inform tailored intervention programmes?
AU - Toor, Jaspreet
AU - Hamley, Jonathan I.D.
AU - Fronterre, Claudio
AU - Castaño, María Soledad
AU - Chapman, Lloyd A.C.
AU - Coffeng, Luc E.
AU - Giardina, Federica
AU - Lietman, Thomas M.
AU - Michael, Edwin
AU - Pinsent, Amy
AU - Le Rutte, Epke A.
AU - Déirdre Hollingsworth, T.
N1 - 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.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85105906456&partnerID=8YFLogxK
U2 - 10.1371/journal.pntd.0009351
DO - 10.1371/journal.pntd.0009351
M3 - Article
C2 - 33983937
AN - SCOPUS:85105906456
VL - 15
JO - PLoS Neglected Tropical Diseases
JF - PLoS Neglected Tropical Diseases
SN - 1935-2727
IS - 5
M1 - e0009351
ER -
