Description Details Author(s) References Examples
A likelihood framework for estimating the effective coverage of vaccination programs using cross-sectional surveys combined with administrative data.
Package: | vacem |
Type: | Package |
Version: | 0.1-1 |
Date: | 2012-01-30 |
License: | GPL (>= 2) |
LazyLoad: | yes |
The performance of routine and supplemental immunization activities is usually measured by the administrative method: dividing the number of doses distributed by the size of the target population. This package implements a method that combines the administrative data with measurements from cross-sectional surveys of vaccine coverage, e.g. Demographic and Health Surveys (DHS), to provide an improved estimate of vaccination coverage.
Justin Lessler jlessler@jhsph.edu Jessica Metcalf cmetcalf@princeton.edu
Maintainer: Ken Cline kcline@jhsph.edu
Lessler J, Metcalf CJE, Grais RF, Luquero FJ, Cummings DAT, et al. (2011) Measuring the Performance of Vaccination Programs Using Cross-Sectional Surveys: A Likelihood Framework and Retrospective Analysis. PLoS Med 8(10): e1001110. doi:10.1371/journal.pmed.1001110 http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001110
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