| Literature DB >> 25495480 |
S M Ashrafur Rahman1, Xingfu Zou.
Abstract
This paper investigates consequences of vaccine implementation strategies for infectious diseases by a mathematical model. For an infectious disease, the degree of infection may vary widely among the individuals. Reports show that individuals belonging to certain groups possess considerably higher risk to infection. Incorporating this phenomenon into vaccination strategies, the host is categorized into different groups to measure the outcome of the vaccination. A mathematical model is proposed and analysed to evaluate this measure. Our results suggest that vaccinating a group with certain priority may lead to elimination of the disease effectively. The strategy is cost-effective as well.Entities:
Keywords: 34K18; 34K20; 92D30; HIV; Lyapunov function; basic reproduction number; global attractivity; vaccination
Mesh:
Year: 2014 PMID: 25495480 DOI: 10.1080/17513758.2014.986545
Source DB: PubMed Journal: J Biol Dyn ISSN: 1751-3758 Impact factor: 2.179