Mathematical Models of Human African Trypanosomiasis Epidemiology

被引:28
|
作者
Rock, Kat S. [1 ]
Stone, Chris M. [2 ,3 ]
Hastings, Ian M. [4 ]
Keeling, Matt J. [1 ]
Torr, Steve J. [5 ,6 ]
Chitnis, Nakul [2 ,3 ]
机构
[1] Univ Warwick, Math Inst WIDER, Coventry, W Midlands, England
[2] Swiss Trop & Publ Hlth Inst, Dept Epidemiol & Publ Hlth, Basel, Switzerland
[3] Univ Basel, Basel, Switzerland
[4] Univ Liverpool Liverpool Sch Trop Med, Dept Parasitol, Liverpool, Merseyside, England
[5] Univ Liverpool Liverpool Sch Trop Med, Dept Vector Biol, Liverpool, Merseyside, England
[6] Univ Warwick, Warwick Med Sch, Coventry, W Midlands, England
基金
英国生物技术与生命科学研究理事会; 英国医学研究理事会;
关键词
GLOSSINA-MORSITANS-MORSITANS; TSETSE-FLIES GLOSSINA; GAMBIENSE SLEEPING SICKNESS; INSECTICIDE-TREATED CATTLE; RICKETTSIA-LIKE ORGANISMS; ODOR-BAITED TARGETS; DIPTERA-GLOSSINIDAE; BRUCEI-GAMBIENSE; PALPALIS-GAMBIENSIS; GENERAL-MODEL;
D O I
10.1016/bs.apar.2014.12.003
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:53 / 133
页数:81
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