干旱区生态环境知识资源中心(Arid): Dynamical variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu

Arid

DOI	10.1029/2021GH000455
	Dynamical variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu
	Wang, Xia; Yin, Gang; Hu, Zengyun; He, Daihai; Cui, Qianqian; Feng, Xiaomei; Teng, Zhidong; Hu, Qi; Li, Jiansen; Zhou, Qiming
通讯作者	Hu, ZY (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab desert & Oasis Ecol, Urumqi, Peoples R China. ; Hu, ZY (corresponding author), Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Peoples R China. ; Hu, ZY (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.
来源期刊	GEOHEALTH
ISSN	2471-1403
出版年	2021
卷号	5 期号:8
英文摘要	The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused more than 150 million cases of infection to date and poses a serious threat to global public health. In this study, global COVID-19 data were used to examine the dynamical variations from the perspectives of immunity and contact of 84 countries across the five climate regions: tropical, arid, temperate, and cold. A new approach named Yi Hua Jie Mu is proposed to obtain the transmission rates based on the COVID-19 data between the countries with the same climate region over the Northern Hemisphere and Southern Hemisphere. Our results suggest that the COVID-19 pandemic will persist over a long period of time or enter into regular circulation in multiple periods of 1-2 years. Moreover, based on the simulated results by the COVID-19 data, it is found that the temperate and cold climate regions have higher infection rates than the tropical and arid climate regions, which indicates that climate may modulate the transmission of COVID-19. The role of the climate on the COVID-19 variations should be concluded with more data and more cautions. The non-pharmaceutical interventions still play the key role in controlling and prevention this global pandemic. Plain Language Summary In this work, global COVID-19 data were used to examine the dynamical variations from the perspectives of immunity and contact over five climate regions: tropical, arid, temperate, cold, and polar. A new approach is proposed to obtain the infection rates based on the COVID-19 data between the countries with the same climate region over the Northern Hemisphere and Southern Hemisphere. Our results suggest that the COVID-19 pandemic will persist over a long period of time or enter into regular circulation in multiple periods of 1-2 years. Moreover, it is found that the temperate and cold climate regions have higher infection rates than the tropical and arid climate regions, which indicates that climate may modulate the transmission of COVID-19.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000688531100005
WOS关键词	QUARANTINE STRATEGIES ; POPULATION ; EPIDEMICS ; CLIMATE
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
来源机构	中国科学院新疆生态与地理研究所 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368556
作者单位	[Wang, Xia] Shaanxi Normal Univ, Sch Math & Informat Sci, Xian, Peoples R China; [Yin, Gang] Xinjiang Univ, Coll Resource & Environm Sci, Urumqi, Peoples R China; [Hu, Zengyun] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab desert & Oasis Ecol, Urumqi, Peoples R China; [Hu, Zengyun] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Peoples R China; [Hu, Zengyun] Univ Chinese Acad Sci, Beijing, Peoples R China; [He, Daihai] Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Peoples R China; [Cui, Qianqian] Ningxia Univ, Sch Math & Stat, Yinchuan, Ningxia, Peoples R China; [Feng, Xiaomei] Yuncheng Univ, Sch Math & Informat Technol, Yuncheng, Peoples R China; [Teng, Zhidong] Xinjiang Univ, Coll Math & Syst Sci, Urumqi, Peoples R China; [Hu, Qi] Univ Nebraska, Sch Nat Resources, Lincoln, NE USA; [Hu, Qi] Univ Nebraska, Dept Earth & Atmospher Sci, Lincoln, NE USA; [Li, Jiansen] Guangdong Prov Ctr Dis Control & Prevent, Guangzhou, Peoples R China; [Zhou, Qiming] Hong Kong Baptist Univ, D...
推荐引用方式 GB/T 7714	Wang, Xia,Yin, Gang,Hu, Zengyun,et al. Dynamical variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu[J]. 中国科学院新疆生态与地理研究所, 新疆大学,2021,5(8).
APA	Wang, Xia.,Yin, Gang.,Hu, Zengyun.,He, Daihai.,Cui, Qianqian.,...&Zhou, Qiming.(2021).Dynamical variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu.GEOHEALTH,5(8).
MLA	Wang, Xia,et al."Dynamical variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu".GEOHEALTH 5.8(2021).