CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12815 > Article
Paper
15 November 2023 Spatio-temporal characteristics and spread of COVID-19 in China from the perspective of cities
Cuiju Chen
Author Affiliations +
Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 1281513 (2023) https://doi.org/10.1117/12.3010308
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
In early 2020, an outbreak of Corona Virus Disease 2019 (COVID-19) occurred in Wuhan. Due to Wuhan's special transportation location, COVID-19 spread to all provinces in mainland China in a short period of time. In China, the population and industry are highly concentrated in urban areas, and the mobility of people is strong, which makes the spread of the virus greatly increased. From a geographical perspective, analyzing the spatio-temporal dynamics and evolution characteristics of COVID-19 is conducive to clarifying the scope and extent of COVID-19 transmission. Therefore, statistical analysis and kernel density estimation methods are used to analyze the spatio-temporal characteristics, and the urban epidemic transmission network is constructed with the help of complex network theory to explore the degree of epidemic correlation between cities. The study found that the development process of COVID-19 in China has roughly experienced four stages: rapid growth, rapid decline, stable period, sporadic growth, with obvious spatial agglomeration characteristics. In the early stage of the epidemic, there was a strong connection between cities, and cutting off the transmission path of the epidemic could effectively control the spread of the epidemic.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Cuiju Chen "Spatio-temporal characteristics and spread of COVID-19 in China from the perspective of cities", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 1281513 (15 November 2023); https://doi.org/10.1117/12.3010308
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
COVID 19
Diffusion
Statistical analysis
Analytical research
Visual analytics
Social network analysis
Spatial analysis
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top