Author: Sushma Dahal; Kenji Mizumoto; Gerardo Chowell
Title: Investigating spatial variability in COVID-19 pandemic severity across 19 geographic areas, Spain, 2020 Document date: 2020_4_17
ID: 8l2ed3vq_22
Snippet: We also explored the association between time-delay-adjusted CFR with population size, population density, proportion of population aged more than 60 years, infant mortality rate, population at risk of poverty as measured by poverty risk rate, consolidated public health expenditure on hospital and specialized services as well as with two transmission-related metrics: the cumulative morbidity rate of COVID-19 and the initial incidence growth rate .....
Document: We also explored the association between time-delay-adjusted CFR with population size, population density, proportion of population aged more than 60 years, infant mortality rate, population at risk of poverty as measured by poverty risk rate, consolidated public health expenditure on hospital and specialized services as well as with two transmission-related metrics: the cumulative morbidity rate of COVID-19 and the initial incidence growth rate across CCAAs. For this analysis, we built a multivariate linear regression model with all predictor variables to identify simplified models with significant factors linked to the variation in CFR estimates across geographic areas in Spain. We used stepwise regression method to build a final model that contained significant predictors.
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