Public vaccination policy using an age-structured model of pneumococcal infection dynamics.
作者： Karyn L. Sutton , H. T. Banks , Carlos Castillo-Chavez
DOI: 10.1080/17513750903023715
关键词: Vaccination 、 Environmental health 、 Mathematical modelling of infectious disease 、 Developed country 、 Vaccination policy 、 Public health 、 Immunology 、 Pneumococcal infections 、 Population 、 Streptococcus pneumoniae 、 Medicine
摘要: Public health professionals are charged with the task of designing prevention programs for effective control biologically intricate infectious diseases at a population level. The vaccination pneumococcal (infections caused by Streptococcus pneumoniae) remains relevant question in scientific community. It is complicated heterogeneity individuals’ responses to exposure bacterium and their vaccination. Due these complexities, most modelling efforts this area have been on cellular/bacteria Here, we introduce an age-structured SEIS-type model We discuss use framework predicting impact vaccine strategies, as example. Using parameter values reasonable developed country, effects targeting colonization and/or infection stages age profiles morbidity population.
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