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Hierarchical Modelling of COVID-19 Death Risk in India in the Early Phase of the Pandemic

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Dates:3 November 2020
Times:16:00 - 17:00
What is it:Seminar
Organiser:School of Social Sciences
Who is it for:University staff, Adults, Alumni, Current University students, General public
Speaker:Wendy Olsen , Dr Arkadiusz Wiśniowski
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  • In category "Seminar"
  • In group "(SoSS) Social Statistics"
  • In group "(SoSS) Social Statistics"
  • By School of Social Sciences

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.

Speakers

Wendy Olsen

Role: Professor of Socio-Economics

Organisation: University of Manchester

Dr Arkadiusz Wiśniowski

Role: Senior Lecturer

Organisation: University of Manchester

Travel and Contact Information

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via Zoom
Topic: Social Statistics Seminars 2020/21 Time: Nov 3, 2020 04:00 PM London https://zoom.us/j/91458711542 Meeting ID: 914 5871 1542

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Andras Voros

andras.voros@manchester.ac.uk

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