Demographic and health surveys: a profile.
By D. Corsi, M. Neuman, J. Finlay, S. Subramanian. International Journal of Epidemiology, 2012
1,084 citations recorded by the source corpus.
Demographic and Health Surveys (DHS) are comparable nationally representative household surveys that have been conducted in more than 85 countries worldwide since 1984. The DHS were initially designed to expand on demographic, fertility and family planning data collected in the World Fertility Surveys and Contraceptive Prevalence Surveys, and continue to provide an important resource for the monitoring of vital statistics and population health indicators in low- and middle-income countries. The DHS collect a wide range of objective and self-reported data with a strong focus on indicators of fertility, reproductive health, maternal and child health, mortality, nutrition and self-reported health behaviours among adults. Key advantages of the DHS include high response rates, national coverage, high quality interviewer training, standardized data collection procedures across countries and consistent content over time, allowing comparability across populations cross-sectionally and over time. Data from DHS facilitate epidemiological research focused on monitoring of prevalence, trends and inequalities. A variety of robust observational data analysis methods have been used, including cross-sectional designs, repeated cross-sectional designs, spatial and multilevel analyses, intra-household designs and cross-comparative analyses. In this profile, we present an overview of the DHS along with an introduction to the potential scope for these data in contributing to the field of micro- and macro-epidemiology. DHS datasets are available for researchers through MEASURE DHS at www.measuredhs.com.
Subfields: Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Safety Research
View Paper: https://www.semanticscholar.org/paper/3b0f0504d9b52357af62b8981c7bb78b5bc7344f
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Citations in the corpus
- Validating Bayesian Inference Algorithms with Simulation-Based Calibration (2018, methodology): “The data were collected by dividing Kenya into 400 enumeration areas (EAs) and in the i th EA randomly sampling m i households, with the j th household containing N ij people.”
- PFAS Exposure Pathways for Humans and Wildlife: A Synthesis of Current Knowledge and Key Gaps in Understanding (2020, background): “…and Health Survey for developing countries (US Agency for International Development) and the Multiple Indicator Cluster Surveys (United Nations Children's Fund), which includes environmental health monitoring metrics such as PFAS exposure (Boerma et al. 2001; Corsi et al. 2012; Fabic et al. 2012).”