Persistence and resurgence of sleeping sickness foci. A biomathematical investigation.

被引:12
作者
Gouteux, JP [1 ]
Artzrouni, M
机构
[1] Univ Pau & Pays Adour, IBEAS, Lab Ecol Mol, F-64000 Pau, France
[2] IRD, Ctr Ile de France, F-93143 Bondy, France
[3] Univ Pau & Pays Adour, Lab Math Appl, CNRS, ERS 2055, F-64000 Pau, France
来源
COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE III-SCIENCES DE LA VIE-LIFE SCIENCES | 2000年 / 323卷 / 04期
关键词
human trypanosomiase; Trypanosoma brucei gambiense; Glossina; mathematical model; epidemiology; historical foci; slow dynamics;
D O I
10.1016/S0764-4469(00)00145-1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Since the end of the 19th century, historic endemic foci of Trypanosoma brucei gambiense sleeping sickness have proven very persistent. A five-compartment mathematical model with open vector populations was developed in order to study the dynamics of this disease in Central Africa. Of particular interest is the rate at which the disease spreads or goes to extinction at the beginning of an epidemic outbreak. A measure of this rate is the initial halving/doubling time T-o of rile numbers infected; T-o is a doubling time when the basic reproduction number R-o > 1 and a halving time when R-o < 1. For realistic parameter values, T-o can be quite large (i.e. several years or even decades) which corresponds to a persistent low-level endemic brought about by an R-o either just above 1 (slow spread) or just below 1 (slow extinction). A resurgence of historical foci can then be caused by a small shift in parameter- values that brings R-o well above 1 and decreases T-o. In addition, when R-o is less than 1 (in the absence of vector migrations), simulations show that a very small percentage of infected immigrant flies can bring about high prevalence rates in the human population. The model is validated with field data from historical Congolese, Central and West African foci of the past. (C) 2000 Academie des sciences/Editions scientifiques et medicales Elsevier SAS.
引用
收藏
页码:351 / 364
页数:14
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