Rock, Kat S. and Stone, Chris M. and Hastings, Ian M. and Keeling, Matt J. and Torr, Steve J. and Chitnis, Nakul. (2015) Mathematical models of human African trypanosomiasis epidemiology. Advances in parasitology, Vol. 87. pp. 53-133.
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Official URL: http://edoc.unibas.ch/dok/A6373554
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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.
Faculties and Departments: | 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Former Units within Swiss TPH > Public Health Computing (Maire) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) |
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UniBasel Contributors: | Stone, Chris and Chitnis, Nakul |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Elsevier |
ISSN: | 0065-308X |
Note: | Publication type according to Uni Basel Research Database: Journal article |
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Identification Number: |
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Last Modified: | 03 Jul 2015 08:53 |
Deposited On: | 03 Jul 2015 08:53 |
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