Mathematical models for hantavirus infection in rodents

被引:42
作者
Allen, Linda J. S. [1 ]
McCormack, Robert K.
Jonsson, Colleen B.
机构
[1] Texas Tech Univ, Dept Math & Stat, Lubbock, TX 79409 USA
[2] So Res Inst, Dept Biochem & Mol Biol, Birmingham, AL 35206 USA
[3] So Res Inst, Dept Emerging Pathogens, Birmingham, AL 35206 USA
关键词
hantavirus; SEIR epidemic model; stochastic differential equation;
D O I
10.1007/s11538-005-9034-4
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Hantavirus pulmonary syndrome is an emerging disease of humans that is carried by wild rodents. Humans arc usually exposed to the virus through geographically isolated outbreaks. The driving forces behind these outbreaks is poorly understood. Certainly. one key driver of the emergence of these viruses is the virus population dynamics within the rodent population. Two new mathematical models for hantavirus infection in rodents are formulated and studied. The new models include the dynamics of Susceptible, exposed, infective, and recovered male and female rodents. The first model is a system of ordinary differential equations while the second model is a system of stochastic differential equations. These new models capture some of the realistic dynamics of the male/female rodent hantavirus interaction: higher seroprevalence in males and variability in seroprevalence levels.
引用
收藏
页码:511 / 524
页数:14
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