Bulletin of the World Health Organization, 1997-01, Vol.75 (5), p.417-426
1997
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Efficiency of EPI cluster sampling for assessing diarrhoea and dysentery prevalence
- Ist Teil von
- Bulletin of the World Health Organization, 1997-01, Vol.75 (5), p.417-426
- Ort / Verlag
- Genève: Organisation mondiale de la santé
- Erscheinungsjahr
- 1997
- Quelle
- PAIS Index
- Beschreibungen/Notizen
- This study examines the efficiency of EPI cluster sampling in assessing the prevalence of diarrhoea and dysentery. A computer was used to simulate fieldwork carried out by a survey taker. The bias and variance of prevalence estimates obtained using EPI cluster sampling were compared with those obtained using simple random sampling and cluster (stratified random) sampling. Efficiency ratios, calculated as the mean square error divided by total distance travelled, were used to compare EPI cluster sampling to simple random sampling and standard cluster sampling. EPI cluster sampling may be an appropriate low-cost tool for monitoring trends in the prevalence of diarrhoea and dysentery over time. However, it should be used with caution when estimating the prevalence of diarrhoea at a single point in time because of the bias associated with this cluster sampling method.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0042-9686eISSN: 1564-0604Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2487016
- Format
- –
- Schlagworte
- Age Factors, Analysis, Analysis of Variance, Bacterial diseases, Bacterial diseases of the digestive system and abdomen, Bias, Biological and medical sciences, Breastfeeding & lactation, Censuses, Child, Preschool, Cluster Analysis, Computer Simulation, Cross-Sectional Studies, Demographic aspects, Developing countries, Diarrhea, Diarrhea - epidemiology, Diarrhea, Infantile - epidemiology, Disease, Dysentery, Dysentery - epidemiology, Efficiency, Households, Human bacterial diseases, Humans, Immunization, Infant, Infant, Newborn, Infectious diseases, LDCs, Medical sciences, Models, Theoretical, Morbidity, Mortality, Nutritional status, Population, Prevalence studies (Epidemiology), Random Allocation, Sample size, Sampling Studies