Abstract

Multiple studies have suggested the spread of COVID-19 is affected by factors such as climate, BCG vaccinations, pollution and blood type. We perform a joint study of these factors using the death growth rates of 40 regions worldwide with both machine learning and Bayesian methods. We find weak, non-significant (< 3σσ) evidence for temperature and relative humidity as factors in the spread of COVID-19 but little or no evidence for BCG vaccination prevalence or PM2.5\text{PM}_{2.5} pollution. The only variable detected at a statistically significant level (>3σσ) is the rate of positive COVID-19 tests, with higher positive rates correlating with higher daily growth of deaths.

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