Macro-analysis of climatic factors for COVID-19 pandemic based on Koppen-Geiger climate classification

Chen, Fangyuan1,2; Chen, Siya2; Huang, Hua3; Deng, Yingying4; Yang, Weizhong2

2023-05-01

10.1063/5.0144099

CHAOS   影响因子和分区

1054-1500

1089-7682

This study integrated dynamic models and statistical methods to design a novel macroanalysis approach to judge the climate impacts. First, the incidence difference across Koppen-Geiger climate regions was used to determine the four risk areas. Then, the effective influence of climate factors was proved according to the non-climate factors' non-difference among the risk areas, multi-source non-major component data assisting the proof. It is found that cold steppe arid climates and wet temperate climates are more likely to transmit SARS-CoV-2 among human beings. Although the results verified that the global optimum temperature was around 10 degrees C, and the average humidity was 71%, there was evident heterogeneity among different climate risk areas. The first-grade and fourth-grade risk regions in the Northern Hemisphere and fourth-grade risk regions in the Southern Hemisphere are more sensitive to temperature. However, the third-grade risk region in the Southern Hemisphere is more sensitive to relative humidity. The Southern Hemisphere's third-grade and fourth-grade risk regions are more sensitive to precipitation.

SCI

英语

其他

Young Elite Scientists Sponsorship Program by BAST[BYESS2023036] ; Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences[2020-I2M-1-001] ; Technology Development Fund Project[LGKCXGZX2020002]

Mathematics ; Physics

Mathematics, Applied ; Physics, Mathematical

WOS:001010086900004

AIP Publishing

PHYSICS

Web of Science

1.Beijing Inst Fash Technol, Sch Arts & Sci, Beijing 100029, Peoples R China
2.Chinese Acad Med Sci & Peking Union Med Coll, Sch Populat Med & Publ Hlth, Beijing 100730, Peoples R China
3.Southern Univ Sci & Technol, Peoples Hosp Shenzhen 3, Natl Clin Res Ctr Infect Dis, Dept Radiol,Affiliated Hosp 2, Shenzhen 518112, Peoples R China
4.Shenzhen Yantian Dist Peoples Hosp, Dept Radiol, Shenzhen 518081, Peoples R China

Chen, Fangyuan,Chen, Siya,Huang, Hua,et al. Macro-analysis of climatic factors for COVID-19 pandemic based on Koppen-Geiger climate classification[J]. CHAOS,2023,33(5).

Chen, Fangyuan,Chen, Siya,Huang, Hua,Deng, Yingying,&Yang, Weizhong.(2023).Macro-analysis of climatic factors for COVID-19 pandemic based on Koppen-Geiger climate classification.CHAOS,33(5).

Chen, Fangyuan,et al."Macro-analysis of climatic factors for COVID-19 pandemic based on Koppen-Geiger climate classification".CHAOS 33.5(2023).