Assessing the quality of mortality statistics in Shanghai

Between March and June 2017, Dr Tan Ziwen, from the Department of Vital Statistics, Shanghai Municipal Centre for Disease Control and Prevention came to the University of Melbourne to learn about how to routinely assess the quality of vital statistics data, using an automated mortality data software tool, ANACONDA. This fellowship profile documents Tan’s experiences while at Melbourne, including what she worked on, what she found, and what impacts this might have on improving the civil registration and vital statistics system in Shanghai.

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CRVS Fellowship Reports and Profiles

The Bloomberg Philanthropies Data for Health (D4H) Initiative’s CRVS Fellowship Program at the University of Melbourne (UoM) provided fellows with an in-depth participatory learning and knowledge sharing opportunity to work with a country on their CRVS initiatives. These reports are written by...

Created
Updated
Domains
Civil Registration and Vital Statistics
Resource Type
Report
Topics
ANACONDA
data quality
data assessment
Country
China
Language
English
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