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Population Health Metrics Research Consortium Gold Standard Verbal Autopsy Data 2005-2011


General Info
Population Health Metrics Research Consortium (PHMRC)
India (IND)
Andhra Pradesh, Uttar Pradesh
Mexico (MEX)
Distrito Federal
Dar es Salaam, Pemba North, Pemba South
Coverage type 
Time period covered 
01/2007 - 12/2010
Data type
  • Verbal autopsy

These data were collected as part of the Population Health Metrics Research Consortium (PHMRC) project. The files contain verbal autopsies (VAs) that were collected at six sites in four countries (India, Mexico, Tanzania, and the Philippines) using a standardized VA questionnaire developed by the PHMRC. The three datasets correspond to the main questionnaire subcomponents: neonate, child, and adult. The individual VAs are matched with "gold standard" diagnoses of underlying causes of death, which were established from medical records using stringent diagnostic criteria, including laboratory, pathology and medical imaging findings. All "open narrative" portions of the VAs were parsed for individual words or stems, which are included as variables in the final dataset, to remove any potentially identifying information in that portion of the interview. Variables that were analyzed as "health care experience" in past research are identified in the codebook.

Publication year 
Suggested citation 
Broad Institute of MIT and Harvard, Chhatrapati Shahuji Maharaj Medical University (India), George Institute for Global Health (India), Institute for Health Metrics and Evaluation (IHME), Johns Hopkins Bloomberg School of Public Health, Muhimbili University of Health and Allied Sciences (Tanzania), National Institute of Public Health (Mexico), Nizam's Institute of Medical Sciences (NIMS), Public Health Laboratory-Ivo de Carneri (Tanzania), Research Institute for Tropical Medicine (Philippines), University of Queensland (Australia). Population Health Metrics Research Consortium Gold Standard Verbal Autopsy Data 2005-2011. Seattle, United States of America: Population Health Metrics Research Consortium (PHMRC), 2013.