Temperature and Latitude Correlate with SARS-CoV-2 Epidemiological Variables but not with Genomic Change Worldwide.
Temperature and Latitude Correlate with SARS-CoV-2 Epidemiological Variables but not with Genomic Change Worldwide.
复制标题
DOI：
10.1177/1176934321989695
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Caetano-Anollés G
中科院分区：
文献类型：
--
作者：
Burra P;Soto-Díaz K;Chalen I;Gonzalez-Ricon RJ;Istanto D;Caetano-Anollés G
The SARS-CoV-2 virus that causes the COVID-19 disease has spread quickly and massively around the entire globe, causing millions of confirmed cases and deaths worldwide. The disease poses a serious ongoing threat to public health. This study aims to understand the disease potential of the virus in different regions by studying how average spring temperature and its strong predictor, latitude, affect epidemiological variables such as disease incidence, mortality, recovery cases, active cases, testing rate, and hospitalization. We also seek to understand the association of temperature and geographic coordinates with viral genomics. Epidemiological data along with temperature, latitude, longitude, and preparedness index were collected for different countries and US states during the early stages of the pandemic. Our worldwide epidemiological analysis showed a significant correlation between temperature and incidence, mortality, recovery cases and active cases. The same tendency was found with latitude, but not with longitude. In the US, we observed no correlation between temperature or latitude and epidemiological variables. Interestingly, longitude was correlated with incidence, mortality, active cases, and hospitalization. An analysis of mutational change and mutational change per time in 55 453 aligned SARS-CoV-2 genome sequences revealed these parameters were uncorrelated with temperature and geographic coordinates. The epidemiological trends we observed worldwide suggest a seasonal effect for the disease that is not directly controlled by the genomic makeup of the virus. Future studies will need to determine if correlations are more likely the result of effects associated with the environment or the innate immunity of the host.
登录
查看更多内容
影响因子：
19.6
作者：
Chu KH;Tsang WK;Tang CS;Lam MF;Lai FM;To KF;Fung KS;Tang HL;Yan WW;Chan HW;Lai TS;Tong KL;Lai KN
通讯作者：
Lai KN
DOI：
10.1152/ajpendo.00124.2020
发表时间：
2020-05-01
影响因子：
5.1
作者：
Muniyappa, Ranganath;Gubbi, Sriram
通讯作者：
Gubbi, Sriram
影响因子：
15.3
作者：
Ichinohe, Takeshi;Lee, Heung Kyu;Ogura, Yasunori;Flavell, Richard;Iwasaki, Akiko
通讯作者：
Iwasaki, Akiko
影响因子：
4.8
作者：
Harris, James;Hartman, Michelle;Lavelle, Ed C.
通讯作者：
Lavelle, Ed C.
影响因子：
4.2
作者：
Lin, K;Fong, DYK;Karlberg, J
通讯作者：
Karlberg, J