Jeramy Townsley will present “Socioeconomic Structural Predictors of 1st Wave COVID-19 in New York City (Spatial Regression Model)” at the Jan. 22 IU School of Informatics and Computing BioHealth Informatics Colloquia Series. New York City was one of the first cities to be affected by COVID-19 in the United States, and as of April, was the worst hit U.S. city. By comparing COVID-19 positivity in NYC ZIP codes to demographic and socioeconomic factors using spatial regression, it was found that racial segregation, low education levels, increased residents per household, and a lack of health insurance were some of the strongest predictors of high 1st-wave COVID-19 positivity rates. Register here.
Stay Up To Date on Research and Training
The SAVI newsletter keeps you updated on the latest trends and research in Indianapolis.
- The Lasting Impacts of Segregation and RedliningIn EquityJune 24, 2021
- Animated Map of New U.S. COVID-19 Cases Over TimeIn HealthOctober 9, 2020
- Indiana Geographic Information Council’s (IGIC) Special Achievement in GIS AwardIn UncategorizedOctober 1, 2020