SIAM Journal on Applied Dynamical Systems · 2004 · 189 citations · 25 references
Veterinary MedicineInfectious Disease ControlInfectious DiseasesEpidemiologyImmunizationVaccinologyDisease SpreadInfectious Disease DynamicsPopulation ImmunityPopulation Vaccination StrategiesTransmission DynamicsVaccinationCritical Vaccination ThresholdEpidemic ModelsHost Transmission DynamicsInfectious Disease ModelsMathematical Modeling Of EpidemicsProphylactic VaccinationVaccination ModelingVaccine Efficacy Evaluation
Despite the availability of preventive vaccines and public health vaccination programs, influenza inflicts substantial morbidity, mortality, and socio-economic costs and remains a major public health problem. This is largely because the protection conferred by current vaccines is dependent on the immune status of the individual, ranging between 70%--90% in healthy young adults and 30%--40% among the elderly and others with weakened immune systems. Whether a strategic use of such partially effective vaccines can control the spread of influenza within a certain population is unknown but of great public health interest. To address this question, we construct a deterministic mathematical model to study the transmission dynamics of influenza. The model is analyzed qualitatively to determine criteria for control of an influenza epidemic and is used to compute the threshold vaccination rate necessary for community-wide control of influenza. Using two specific populations of similar size, an office and a personal care home, our model shows that the spread of influenza can be controlled if the combined effect of the vaccine efficacy and vaccination rate reaches a threshold determined by the duration of infectiousness and the rate of contact between infected and susceptible individuals.
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The Mathematics of Infectious Diseases
Herbert W. Hethcote · SIAM Review · 2000 · 6.9K citations
Ecology and evolution of the flu
David J. D. Earn, Jonathan Dushoff, Simon A. Levin · Trends in Ecology & Evolution · 2002 · 291 citations
Life Sciences, Biology, Ecology +6