ArticleEmerging themes in epidemiology2012
Performance of small cluster surveys and the clustered LQAS design to estimate local-level vaccination coverage in Mali.
Article in Emerging themes in epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Factors associated with the performance and cost-effectiveness of using lymphatic filariasis transmission assessment surveys for monitoring soil-transmitted helminths: a case study in Kenya.The American journal of tropical medicine and hygiene · 2015Article
- Article
- The effect of clustering on lot quality assurance sampling: a probabilistic model to calculate sample sizes for quality assessments.Emerging themes in epidemiology · 2013Article
- Comparing the performance of cluster random sampling and integrated threshold mapping for targeting trachoma control, using computer simulation.PLoS neglected tropical diseases · 2013Article
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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backgroundEstimation 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.
methodsWe 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.
resultsVC estimates provided by a 10 × 15 cluster survey design were reasonably robust. We used them to classify health areas in three categories and guide mop-up activities: i) health areas not requiring supplemental activities; ii) health areas requiring additional vaccination; iii) health areas requiring further evaluation. As sample size decreased (from 10 × 15 to 10 × 3), standard error of VC and ICC estimates were increasingly unstable. Results of CLQAS simulations were not accurate for most health areas, with an overall risk of misclassification greater than 0.25 in one health area out of three. It was greater than 0.50 in one health area out of two under two of the three sampling plans.
conclusionsSmall sample cluster surveys (10 × 15) are acceptably robust for classification of VC at local level. We do not recommend the CLQAS method as currently formulated for evaluating vaccination programmes.
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