Taking the pulse of COVID-19: A spatiotemporal perspective

Paper Info

Title
Taking the pulse of COVID-19: A spatiotemporal perspective

Abstract
The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many countries, including China, Spain, India, the U.K., Italy, France, Germany, Brazil, Russia, and the U.S. The transmission of the virus accelerated rapidly with the most confirmed cases in the U.S., India, Russia, and Brazil. In response to this national and global emergency, the NSF Spatiotemporal Innovation Center brought together a taskforce of international researchers and assembled implementation strategies to rapidly respond to this crisis, for supporting research, saving lives, and protecting the health of global citizens. This perspective paper presents our collective view on the global health emergency and our effort in collecting, analyzing, and sharing relevant data on global policy and government responses, human mobility, environmental impact, socioeconomical impact; in developing research capabilities and mitigation measures with global scientists, promoting collaborative research on outbreak dynamics, and reflecting on the dynamic responses from human societies.

Year	DOI	Venue
2020	10.1080/17538947.2020.1809723	INTERNATIONAL JOURNAL OF DIGITAL EARTH
Keywords	DocType	Volume
Big Data,Earth system,emergency,geospatial sciences,epidemics,applications	Journal	13.0
Issue	ISSN	Citations
10.0	1753-8947	2
PageRank	References	Authors
0.37	9	35

Authors (35 rows)

Cited by (2 rows)

References (9 rows)

Name	Order	Citations	PageRank
Chaowei Yang	1	841	56.47
Sha Dexuan	2	2	0.37
Liu Qian	3	2	0.71
Li Yun	4	2	0.37
Lan Hai	5	2	0.37
Guan Weihe Wendy	6	2	0.37
Hu Tao	7	2	0.37
Li Zhenlong	8	2	0.37
Zhang Zhiran	9	2	0.37
Thompson John Hoot	10	2	0.37
Wang Zifu	11	2	0.37
David T Wong	12	36	3.95
Ruan Shiyang	13	2	0.37
Manzhu Yu	14	49	6.41
Richardson Douglas	15	2	0.37
Zhang Luyao	16	2	0.37
Hou Ruizhi	17	2	0.37
Zhou You	18	3	1.40
Zhong Cheng	19	3	0.76
Tian Yifei	20	2	0.37
Beaini Fayez	21	2	0.37
Carte Kyla	22	2	0.37
Flynn Colin	23	2	0.37
Liu Wei	24	2	2.06
Pfoser Dieter	25	2	0.37
Bao Shuming	26	2	0.37
Li Mei	27	21	3.51
Zhang Haoyuan	28	2	0.37
Liu Chunbo	29	2	0.37
Jiang Jie	30	2	0.37
Du Shihong	31	2	0.37
Liang Zhao	32	386	54.50
Lu Mingyue	33	2	0.37
Li Lin	34	99	17.09
Zhou Huan	35	2	0.37