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Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC)

Castaño, María Soledad and Ndeffo-Mbah, Martial L. and Rock, Kat S. and Palmer, Cody and Knock, Edward and Mwamba Miaka, Erick and Ndung'u, Joseph M. and Torr, Steve and Verlé, Paul and Spencer, Simon E. F. and Galvani, Alison and Bever, Caitlin and Keeling, Matt J. and Chitnis, Nakul. (2020) Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC). PLoS Neglected Tropical Diseases, 14. e0007976.

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Official URL: https://edoc.unibas.ch/75657/

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Abstract

Since the turn of the century, the global community has made great progress towards the elimination of gambiense human African trypanosomiasis (HAT). Elimination programs, primarily relying on screening and treatment campaigns, have also created a rich database of HAT epidemiology. Mathematical models calibrated with these data can help to fill remaining gaps in our understanding of HAT transmission dynamics, including key operational research questions such as whether integrating vector control with current intervention strategies is needed to achieve HAT elimination. Here we explore, via an ensemble of models and simulation studies, how including or not disease stage data, or using more updated data sets affect model predictions of future control strategies.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Disease Dynamics > Mathematical Epidemiology (Chitnis)
UniBasel Contributors:Castaño, Soledad and Chitnis, Nakul
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Public Library of Science
ISSN:1935-2727
e-ISSN:1935-2735
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
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Last Modified:05 Mar 2020 12:16
Deposited On:05 Mar 2020 12:16

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