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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
A two-stage cluster sampling method using gridded population data, a GIS, and Google Earth
TM
imagery in a population-based mortality survey in Iraq
International Journal of Health Geographics, Volume 11, Article 12, Year 2012
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Description
Background: Mortality estimates can measure and monitor the impacts of conflict on a population, guide humanitarian efforts, and help to better understand the public health impacts of conflict. Vital statistics registration and surveillance systems are rarely functional in conflict settings, posing a challenge of estimating mortality using retrospective population-based surveys.Results: We present a two-stage cluster sampling method for application in population-based mortality surveys. The sampling method utilizes gridded population data and a geographic information system (GIS) to select clusters in the first sampling stage and Google Earth TM imagery and sampling grids to select households in the second sampling stage. The sampling method is implemented in a household mortality study in Iraq in 2011. Factors affecting feasibility and methodological quality are described.Conclusion: Sampling is a challenge in retrospective population-based mortality studies and alternatives that improve on the conventional approaches are needed. The sampling strategy presented here was designed to generate a representative sample of the Iraqi population while reducing the potential for bias and considering the context specific challenges of the study setting. This sampling strategy, or variations on it, are adaptable and should be considered and tested in other conflict settings. © 2012 Galway et al.; licensee BioMed Central Ltd.
Authors & Co-Authors
Galway, Lindsay
Canada, Burnaby
Simon Fraser University
Bell, Nathaniel
Canada, Vancouver
The University of British Columbia
Al-Shatari, Sahar
Iraq
Iraqi
Hagopian, Amy
United States, Seattle
University of Washington
Burnham, Gilbert M.
United States, Baltimore
Johns Hopkins University
Flaxman, Abraham D.
United States, Seattle
University of Washington
Weiss, William M.
United States, Baltimore
Johns Hopkins University
Rajaratnam, Julie
United States, Seattle
University of Washington
Takaro, Tim
Canada, Burnaby
Simon Fraser University
Statistics
Citations: 99
Authors: 9
Affiliations: 5
Identifiers
Doi:
10.1186/1476-072X-11-12
e-ISSN:
1476072X
Study Design
Cross Sectional Study
Cohort Study
Study Approach
Quantitative