Rock, Kat S., Stone, Chris M., Hastings, Ian ORCID: https://orcid.org/0000-0002-1332-742X, Keeling, Matt J., Torr, Steve ORCID: https://orcid.org/0000-0001-9550-4030 and Chitnis, Nakul (2015) 'Mathematical Models of Human African Trypanosomiasis Epidemiology (Chapter 3)'. Advances in Parasitology, Vol 87, pp. 53-133.
Full text not available from this repository.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.
Item Type: | Article |
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Additional Information: | Mathematical Models for Neglected Tropical Diseases: Essential Tools for Control and Elimination, Part A |
Subjects: | QU Biochemistry > QU 26.5 Informatics. Automatic data processing. Computers WA Public Health > WA 105 Epidemiology WA Public Health > Statistics. Surveys > WA 950 Theory or methods of medical statistics. Epidemiologic methods WC Communicable Diseases > Tropical and Parasitic Diseases > WC 705 Trypanosomiasis |
Faculty: Department: | Biological Sciences > Department of Tropical Disease Biology Biological Sciences > Vector Biology Department |
Digital Object Identifer (DOI): | https://doi.org/10.1016/bs.apar.2014.12.003 |
Depositing User: | Carmel Bates |
Date Deposited: | 13 Mar 2015 15:42 |
Last Modified: | 19 Sep 2019 11:29 |
URI: | https://archive.lstmed.ac.uk/id/eprint/5010 |
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