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
Search related documents:
Co phrase search for related documents- chronic disease and develop country: 1, 2
- chronic disease and different country: 1, 2, 3, 4, 5, 6
- chronic disease and disease outbreak: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71
- chronic disease and frequently occur: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- chronic disease and high fertility: 1, 2, 3
- chronic disease and indoor pollution: 1, 2, 3, 4, 5, 6, 7
- chronic disease and negative correlation: 1, 2, 3, 4, 5, 6, 7, 8, 9
- country characterize and different country: 1
- death rate and different country: 1, 2, 3, 4, 5
- death rate and disease outbreak: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31
- death rate and frequently occur: 1, 2, 3
- death rate and infant death rate: 1, 2, 3
- death rate and negative correlation: 1, 2, 3, 4, 5, 6
- develop country and different country: 1
- develop country and disease outbreak: 1, 2
- different country and disease outbreak: 1, 2, 3, 4, 5
- disease outbreak and frequently occur: 1, 2, 3, 4
- disease outbreak and high fertility: 1
- disease outbreak and indoor pollution: 1
Co phrase search for related documents, hyperlinks ordered by date