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

Castano, Maria, Ndeffo-Mbah, Martial L, Rock, Kat S, Palmer, Cody, Knock, Edward, Mwamba Miaka, Erick, Ndung’u, Joseph M, Torr, Steve ORCID: https://orcid.org/0000-0001-9550-4030, Verle, Paul, Spencer, Simon E F, Galvani, Alison, Bever, Catlin, 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, Vol 14, Issue 1, e0007976.

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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.

Item Type:	Article
Subjects:	WA Public Health > Health Problems of Special Population Groups > WA 395 Health in developing countries WC Communicable Diseases > WC 20 Research (General) WC Communicable Diseases > Tropical and Parasitic Diseases > WC 680 Tropical diseases (General) WC Communicable Diseases > Tropical and Parasitic Diseases > WC 705 Trypanosomiasis
Faculty: Department:	Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI):	https://doi.org/10.1371/journal.pntd.0007976
Depositing User:	Samantha Sheldrake
Date Deposited:	22 Jan 2020 16:05
Last Modified:	23 Jan 2020 11:49
URI:	https://archive.lstmed.ac.uk/id/eprint/13490

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