Social Statistics Seminar – Hierarchical Modelling of COVID-19 Death Risk in India in the Early Phase of the Pandemic
|Starts:||16:00 3 Nov 2020|
|Ends:||17:00 3 Nov 2020|
|What is it:||Webinar|
|Organiser:||Cathie Marsh Institute for Social Research|
Speakers: Wendy Olsen and Arkadiusz Wisniowski (University of Manchester)
Join us on Zoom!
Meeting ID: 914 5871 1542
We model of India’s pandemic vulnerability in an innovative way. We create and estimate a multi-disciplinary model of the risk of severe COVID-19 and death. Our model allows for socio-demographic-group differentials in risk; obesity; underweight people; co-morbidities; and other regional and lifestyle factors. We map the results for 11 states. We use three different data sources: the National Family Health Survey for 2015/6, Census data for 2011, and data for COVID-19 deaths up to June 2020. COVID-19 deaths in north and central India were higher in areas with older and overweight populations, and were more common among people (mainly men) who smoke, or who live in urban areas. Policy experts may want to use the disaggregated and spatially-specific data to improve wellbeing outcomes during the pandemic. The future uses of our innovative data-combining model are numerous.
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