This session will be moderated by Professor Prabhat Jha. An Endowed Professor in Global Health and Epidemiology at the University of Toronto and Canada Research Chair at the Dalla Lana School of Public Health, he is also the founding Director of the Centre for Global Health Research.
Contemporary discussion about modern data analytics is dominated by new technological approaches, including the use of artificial intelligence, satellite technologies, and the use of ‘big data’. Generally, however, this discussion does not include foundation data sets such as CRVS.
The current global state of CRVS means that data is often incomplete, this means that data analysis for global events, such as the Ebola outbreak, relies heavily on estimates and modelling. While the opportunities for better data collection and analysis are exciting, this session will also consider the need for effective data management comprising data governance, security, confidentiality and protection.
The Lab will facilitate discussion around testing, integration and capacity building. It will aim to answer the following key questions:
- Considering new approaches to analysis, including artificial intelligence, which modern data analytical approaches can be used for best effect to improve vital statistics analysis and strengthen CRVS systems?
- Can health/statistical data collections – census, surveillance and sample systems – be better integrated with CRVS systems to improve modern vital statistics analysis?
- How should data and analysis from national ID systems and CRVS systems be used to strengthen each other?
- What data governance needs to be in place to create a platform for future development? For example, how can individual data be used for monitoring disease outbreaks as well as notifying deaths and being counted for vital statistics?
- What capacity and technology support is needed to produce sustained and sustainable improvements for CRVS and ID systems?
Find out more about the session by reading the background documents here.