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Strengthening data collection for neglected tropical diseases: What data are needed for models to better inform tailored intervention programmes?
Toor, Jaspreet; Hamley, Jonathan I D; Fronterre, Claudio; Castaño, María Soledad; Chapman, Lloyd A C; Coffeng, Luc E; Giardina, Federica; Lietman, Thomas M; Michael, Edwin; Pinsent, Amy; Le Rutte, Epke A; Hollingsworth, T Déirdre.
Affiliation
  • Toor J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
  • Hamley JID; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
  • Fronterre C; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
  • Castaño MS; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom.
  • Chapman LAC; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Coffeng LE; University of Basel, Basel, Switzerland.
  • Giardina F; Department of Global Health and Development, London School of Hygiene and Tropical Medicine, United Kingdom.
  • Lietman TM; Department of Medicine, University of California, San Francisco, California, United States of America.
  • Michael E; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Pinsent A; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Le Rutte EA; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America.
  • Hollingsworth TD; Department of Ophthalmology, University of California, San Francisco, California, United States of America.
PLoS Negl Trop Dis ; 15(5): e0009351, 2021 05.
Article in En | MEDLINE | ID: mdl-33983937
ABSTRACT
Locally tailored interventions for neglected tropical diseases (NTDs) are becoming increasingly 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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Disease Control / Data Collection / Neglected Diseases Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2021 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Disease Control / Data Collection / Neglected Diseases Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2021 Document type: Article Affiliation country: Reino Unido