Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-27T23:43:35.944Z Has data issue: false hasContentIssue false
  • English
  • Français

Measuring Mortality in Cross-sectional Surveys: Which Methods Are Best and Why?

Published online by Cambridge University Press:  11 April 2022

Bradley A. Woodruff
Bradley A. Woodruff*
Affiliation:
International Emergency and Refugee Health Branch, U. S. Centers for Disease Control and Prevention
Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In emergency situations, mortality rates are critical indicators of a population's health status. When surveillance systems are not yet functioning or cannot be implemented, rates can be derived from data collected in populationbased, cross-sectional surveys.

Keywords

biasesbirthsbrief historycensusculturesdata collectiondeath ratesindicatorslimitationsmeasurementspast-householdsurveys
Type
Symposium: Assessment of the Public Health Effects of Complex Emergencies
Information
Prehospital and Disaster Medicine , Volume 17 , supplement S2: Abstracts of Scientific and Invited Papers for 13th World Congress on Disaster and Emergency Medicine , December 2002 , pp. S20
Copyright
Copyright © World Association for Disaster and Emergency Medicine 2002