What if we could more accurately, in real-time, assess how the public is responding to COVID-19? Is social distancing widespread? How can we more effectively target public health messaging?
In this virtual lecture hosted by the University of Toronto’s Dalla Lana School of Public Health on March 26th, RIWI CEO Neil Seeman shared RIWI’s origins in pandemic surveillance during H1N1 and now daily tracking of public sentiment in China, Canada, the U.S. and around the world amidst COVID-19.
The talk highlighted RIWI data collection work in low-, middle-, and high-income nations, including:
- Monitoring trust in health officials in China during the COVID-19 outbreak and in other public health crises
- Harvard research measuring expectations of healthcare quality in low- and middle-income countries
- How new models of data collection extend to measuring diverse ‘sensitive topics’ for which we have limited or flawed data in public health and policy, such as changing attitudes toward stigmatized populations
Watch the recording of the live webinar here: