An analysis of spatiotemporal pattern for COIVD‐19 in China based on space‐time cube. Issue 9 (25th April 2020)
- Record Type:
- Journal Article
- Title:
- An analysis of spatiotemporal pattern for COIVD‐19 in China based on space‐time cube. Issue 9 (25th April 2020)
- Main Title:
- An analysis of spatiotemporal pattern for COIVD‐19 in China based on space‐time cube
- Authors:
- Mo, Chunbao
Tan, Dechan
Mai, Tingyu
Bei, Chunhua
Qin, Jian
Pang, Weiyi
Zhang, Zhiyong - Other Names:
- Luo Guangxiang (George) guestEditor.
Ly Hinh guestEditor.
Gao Shou‐Jiang guestEditor. - Abstract:
- Abstract: This study seeks to examine and analyze the spatial and temporal patterns of 2019 novel coronavirus disease (COVID‐19) outbreaks and identify the spatiotemporal distribution characteristics and changing trends of cases. Hence, local outlier analysis and emerging spatiotemporal hot spot analysis were performed to analyze the spatiotemporal clustering pattern and cold/hot spot trends of COVID‐19 cases based on space‐time cube during the period from 23 January 2020 to 24 February 2020. The main findings are as follows: (1) The outbreak had spread rapidly throughout the country within a short time and the current totality incidence rate has decreased. (2) The spatiotemporal distribution of cases was uneven. In terms of the spatiotemporal clustering pattern, Wuhan and Shiyan city were the center as both cities had high‐high clustering pattern with a surrounding unstable multiple‐type pattern in partial areas of Henan, Anhui, Jiangxi, and Hunan provinces, and Chongqing city. Those regions are continuously in the hot spot on the spatiotemporal tendency. (3) The spatiotemporal analysis technology based on the space‐time cube can analyze comprehensively the spatiotemporal pattern of epidemiological data and produce a visual output of the consequences, which can reflect intuitively the distribution and trend of data in space‐time. Therefore, the Chinese government should strengthen the prevention and control efforts in a targeted manner to cope with a highly changeableAbstract: This study seeks to examine and analyze the spatial and temporal patterns of 2019 novel coronavirus disease (COVID‐19) outbreaks and identify the spatiotemporal distribution characteristics and changing trends of cases. Hence, local outlier analysis and emerging spatiotemporal hot spot analysis were performed to analyze the spatiotemporal clustering pattern and cold/hot spot trends of COVID‐19 cases based on space‐time cube during the period from 23 January 2020 to 24 February 2020. The main findings are as follows: (1) The outbreak had spread rapidly throughout the country within a short time and the current totality incidence rate has decreased. (2) The spatiotemporal distribution of cases was uneven. In terms of the spatiotemporal clustering pattern, Wuhan and Shiyan city were the center as both cities had high‐high clustering pattern with a surrounding unstable multiple‐type pattern in partial areas of Henan, Anhui, Jiangxi, and Hunan provinces, and Chongqing city. Those regions are continuously in the hot spot on the spatiotemporal tendency. (3) The spatiotemporal analysis technology based on the space‐time cube can analyze comprehensively the spatiotemporal pattern of epidemiological data and produce a visual output of the consequences, which can reflect intuitively the distribution and trend of data in space‐time. Therefore, the Chinese government should strengthen the prevention and control efforts in a targeted manner to cope with a highly changeable situation. … (more)
- Is Part Of:
- Journal of medical virology. Volume 92:Issue 9(2020)
- Journal:
- Journal of medical virology
- Issue:
- Volume 92:Issue 9(2020)
- Issue Display:
- Volume 92, Issue 9 (2020)
- Year:
- 2020
- Volume:
- 92
- Issue:
- 9
- Issue Sort Value:
- 2020-0092-0009-0000
- Page Start:
- 1587
- Page End:
- 1595
- Publication Date:
- 2020-04-25
- Subjects:
- COVID‐19 -- emerging spatiotemporal hot spots analysis -- local outlier analysis -- space‐time cube
Virology -- Periodicals
616 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1096-9071 ↗
http://www.interscience.wiley.com/jpages/0146-6615 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jmv.25834 ↗
- Languages:
- English
- ISSNs:
- 0146-6615
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5017.095000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13891.xml