Author: Aleksandr Farseev; Yu-Yi Chu-Farseeva; Yang Qi; Daron Benjamin Loo
Title: Understanding Economic and Health Factors Impacting the Spread of COVID-19 Disease Document date: 2020_4_11
ID: keaxietu_59
Snippet: From the correlation semi-matrix, it can be seen that the countries from the can also be noticed that these economies heavily rely on agriculture 5 , have high fertility and infant death rates 6 , skewed towards younger population 7 , and have higher death rates from indoor pollution as well as such well-treatable chronic diseases and cancers 8 . All the above correlations could characterize the countries from Cluster 1 as belonging to the catego.....
Document: From the correlation semi-matrix, it can be seen that the countries from the can also be noticed that these economies heavily rely on agriculture 5 , have high fertility and infant death rates 6 , skewed towards younger population 7 , and have higher death rates from indoor pollution as well as such well-treatable chronic diseases and cancers 8 . All the above correlations could characterize the countries from Cluster 1 as belonging to the category of developing countries, which could also be observed from the country participant list provided in the previous section. Therefore, the non-consistent correlations with the COVID-19 Confirmed Case Speed (three significant positive correlations and one significant negative correlation), could then be explained by possible testing and reporting issues that frequently occur when facing world-scale disease outbreaks [29] . Given the limited available data in our COVID-19 dataset regarding COVID-19 reporting procedures in different countries, in this work, we would like to highlight a
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