Using Serosurvey Data Triangulation for More Accurate Vaccine Coverage Estimates: Measured and Modeled Coverage from Pakistan Household Survey.

Using Serosurvey Data Triangulation for More Accurate Vaccine Coverage Estimates: Measured and Modeled Coverage from Pakistan Household Survey. Am J Epidemiol. 2019 Jul 18;: Authors: Gong W, Hayford K, Shah MT, Iqbal J, Moss WJ, Moulton LH, Chandir S, O'Brien KL Abstract Household surveys remain an essential method for estimating vaccine coverage in developing countries. However, the resulting estimates have inevitable and currently unmeasurable information biases from inaccuracies in recall, low retention of home-based health records (HBR, i.e. vaccination cards), and inaccurate recording of vaccination onto HBRs. We developed an innovative method to overcome these biases, enhance the validity of survey results and estimate true vaccine coverage using nested serological immune marker assessments. We enrolled children 12-23 months of age in vaccine coverage surveys in Karachi, Pakistan from January to December 2016. Vaccination history was collected through verbal recall by caregiver and, when available, by HBR. One-third of survey participants were randomly enrolled for serologic testing for anti-measles virus IgG antibody. We applied Bayesian latent class models to evaluate the misalignment among measles vaccination history by recall, HBRs, and measles serology, and estimated true measles vaccine coverage. The model-based estimate of true measles vaccine coverage was 61.1% (95% CI: 53.5, 69.4) among all survey participants. Standar...
Source: Am J Epidemiol - Category: Epidemiology Authors: Tags: Am J Epidemiol Source Type: research