Literature DB >> 9131750

Estimation of the population effectiveness of vaccination.

M Haber1.   

Abstract

This paper presents a simple method for estimation of population vaccination effectiveness, which is the fraction of disease cases prevented by a vaccination programme. The method is based on the susceptible-infectious-recovered (SIR) model for the spread of an epidemic in a heterogeneous population under non-homogeneous mixing. The required data are the attack rates among vaccinated and unvaccinated individuals in each stratum of the population. Some information on the mixing pattern may be useful, but in most cases is not absolutely necessary. One can extend the estimation method to predict the attack rates expected in the same population for different vaccination strategies. I apply the new methods to data from a measles outbreak and investigate the bias, standard error and robustness of the estimation method in a stochastic simulation study.

Mesh:

Year:  1997        PMID: 9131750     DOI: 10.1002/(sici)1097-0258(19970330)16:6<601::aid-sim434>3.0.co;2-2

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  1 in total

1.  Population-Level Effectiveness of COVID-19 Vaccination Program in the United States: Causal Analysis Based on Structural Nested Mean Model.

Authors:  Rui Wang; Jiahao Wang; Taojun Hu; Xiao-Hua Zhou
Journal:  Vaccines (Basel)       Date:  2022-05-05
  1 in total

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