Author: Rodolfo Jaffe; Mabel Patricia Ortiz Vera; Klaus Jaffe
Title: Globalized low-income countries may experience higher COVID-19 mortality rates Document date: 2020_4_3
ID: 1ntplgl6_22
Snippet: Our study shows important variation in infection and mortality rates across countries, which was primarily explained by socio-economic factors. Importantly, our findings reveal that low-income country receiving large numbers of imported goods and international visitors are likely to exhibit higher COVID-19 infection and mortality rates. International aid agencies could use this information to help mitigate the consequences of the current pandemic.....
Document: Our study shows important variation in infection and mortality rates across countries, which was primarily explained by socio-economic factors. Importantly, our findings reveal that low-income country receiving large numbers of imported goods and international visitors are likely to exhibit higher COVID-19 infection and mortality rates. International aid agencies could use this information to help mitigate the consequences of the current pandemic in the most vulnerable countries (Bedoya & Dolinger, 2020) . Tables Table 1 : Confidence Intervals (CI) for model-averaged coefficients and sum of Akaike weights considering the set of best-fitting models (ΔAIC AIC ≤ 2). All models where linear multiple regressions containing either infection rate or mortality rate as response variables (see methods for details). Predictor variables in bold fonts represent those where CI do not contain zero.
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