How do environmental, economic and health factors influence regional vulnerability to COVID-19?

Pejman Tahmasebi; Salome M.S. Shokri-Kuehni; Muhammad Sahimi; Nima Shokri

The data presented in Fig. 1 enables us to investigate the simultaneous relation between the 12 variables considered in the present study, on the one hand, and the total ND, on the other hand, whereas the relationship between the variables compared to other countries are summarized. Similarly, we also have analysed the trends of each variable and the ND separately in order to provide how each variable affects the ND. The results are presented in To identify quantitatively the variables that are correlated with the total ND recorded in each country, the statistical procedure explained in the previous section was employed. Our results show that among the variables considered in the present study, the diabetes percentage of the total population and the population age 65 and higher had significant correlation with the total ND recorded in each country as of 06 April 2020. While the effect of the latter factor has been known, the fact that our statistical model correctly highlights its correlation indicates its internal consistency. The estimated coefficients for these two variables are summarized in Table 1 . . CC-BY-NC 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.