@article{cdaf96212cc743d4b03e98303334bbb6,
title = "Mathematical Models of Human African Trypanosomiasis Epidemiology",
abstract = "Human African trypanosomiasis (HAT), commonly called sleeping sickness, is caused by Trypanosoma spp. and transmitted by tsetse flies (. Glossina spp.). HAT is usually fatal if untreated and transmission occurs in foci across sub-Saharan Africa. Mathematical modelling of HAT began in the 1980s with extensions of the Ross-Macdonald malaria model and has since consisted, with a few exceptions, of similar deterministic compartmental models. These models have captured the main features of HAT epidemiology and provided insight on the effectiveness of the two main control interventions (treatment of humans and tsetse fly control) in eliminating transmission. However, most existing models have overestimated prevalence of infection and ignored transient dynamics. There is a need for properly validated models, evolving with improved data collection, that can provide quantitative predictions to help guide control and elimination strategies for HAT.",
keywords = "Human African trypanosomiasis, Mathematical epidemiology, Mathematical modelling, Sleeping sickness, Tsetse flies",
author = "Rock, {Kat S.} and Stone, {Chris M.} and Hastings, {Ian M.} and Keeling, {Matt J.} and Torr, {Steve J.} and Nakul Chitnis",
note = "Funding Information: The authors would like to thank Harriet Auty, Reto Brun, John Hargrove, Michael Lehane, Liam Morrison and Glyn Vale for helpful discussions and comments on the manuscript. KR was funded by an EPSRC PhD grant. CS and NC were supported by the Bill and Melinda Gates Foundation through grant number, OPP1037660. NC also acknowledges financial support from the Research and Policy for Infectious Disease Dynamics (RAPIDD) program of the Science & Technology Directorate, Department of Homeland Security and Fogarty International Center , National Institutes of Health . ST is supported by the Biotechnology and Biological Sciences Research Council, the Department for international Development, The Economic & Social Science Research Council, The Natural Environment Research Council and the Defence Science and Technology Laboratory, under the Zoonosis and Emerging and Livestock Systems (ZELS) programme (Grant no. BB/L019035/1). Publisher Copyright: {\textcopyright} 2015 Elsevier Ltd.",
year = "2015",
month = mar,
day = "1",
doi = "10.1016/bs.apar.2014.12.003",
language = "English (US)",
volume = "87",
pages = "53--133",
journal = "Advances in Parasitology",
issn = "0065-308X",
publisher = "Academic Press Inc.",
}