Performance of small cluster surveys and the clustered LQAS design to estimate local-level vaccination coverage in Mali.

ABSTRACT:

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Background

Estimation of vaccination coverage at the local level is essential to identify communities that may require additional support. Cluster surveys can be used in resource-poor settings, when population figures are inaccurate. To be feasible, cluster samples need to be small, without losing robustness of results. The clustered LQAS (CLQAS) approach has been proposed as an alternative, as smaller sample sizes are required.

Methods

We explored (i) the efficiency of cluster surveys of decreasing sample size through bootstrapping analysis and (ii) the performance of CLQAS under three alternative sampling plans to classify local VC, using data from a survey carried out in Mali after mass vaccination against meningococcal meningitis group A.

Results

SUBMITTER: Minetti A 

PROVIDER: S-EPMC3502089 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature