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7 Data Collection and Validation in Resource-Poor Settings
Pages 14-16

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From page 14...
... Thus it is necessary to consider a transitional approach to improving the supply of health information in the short term in ways that are relevant to the essential policy actions that sub-Saharan African countries will need to take as the epidemiological transition unfolds. In his presentation for the session on data collection and validation, Peter Byass identified several key questions that countries and international agencies should consider: What mix of national and local-area data sources are needed for monitoring epidemiological transition, and with what sampling approaches?
From page 15...
... . TABLE 7-1 Typology of Data Sources That Potentially Contribute to National Health Information Level Model Sample Approach Examples National National census All Complete cross- Most countries section Ongoing All Complete Industrialised registration longitudinal countries Sentinel districts 1-2% of Longitudinal China population sample Cluster surveys Cluster sample Repeatable DHS surveys, size cross-section WHO-SAGE Fixed panel Cohort sample Longitudinal Millennium surveys size cohort Cohort Study At health All or sample of Self-selected Annual health facilities facilities group reports Provincial Complete All Complete In registered population longitudinal countries Cluster surveys Cluster sample Cross-section Vaccine size coverage At health All or sample of Self-selected Annual health facilities facilities group reports Local area Individual Defined area Complete in INDEPTH surveillance population defined area centers One-time Survey sample Cross-sectional surveys size Specific Context- Specific issues research dependent of interest SOURCE: Byass, de Savigny, and Lopez (2011)
From page 16...
... These features imply a surveillance that is more focused on subpopulations at high risk of infection and that has an emphasis on trends over time. Rehle further described the new South African National Health and Nutrition Examination Survey (SANHANES)


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