Affiliation:
1. Xi'an Jiaotong University
2. Nanjing Audit University
Abstract
Abstract
Utilizing patient trajectory data from 2050 case text documents, we constructed a location-contact network to analyze the spatial transmission of the late 2021 COVID-19 outbreak in a megacity of China. Employing complex network analysis, we had several significant findings. The network exhibited 266 components, indicating a relatively sparse network density. Notably, locations with a higher risk of transmission encompassed universities, convenience stores, agricultural markets, and restaurants. Moreover, we applied a network immunization strategy to simulate the impact of lockdowns at various location types on virus spread. Our results show that lock down "shops" and "restaurants" can significantly diminish network connectivity.
Publisher
Research Square Platform LLC
Reference22 articles.
1. Critical Commentary: Cities in a post-COVID world;Florida R;Urban Stud,2023
2. Mobility network models of COVID-19 explain inequities and inform reopening;Chang S;Nature,2021
3. Chang Y, Mayer S, Davis ES et al. ,.. Transmission Dynamics of Large Coronavirus Disease Outbreak in Homeless Shelter, Chicago, Illinois, USA, 2020. Emerg Infect Dis. 2022;28(1):77–85.
4. Effectiveness of social distancing strategies for protecting a community from a pandemic with a data-driven contact network based on census and real-world mobility data;Martín-Calvo D;MIT Connection Science,2020
5. Characterizing pediatric emergency department visits during the COVID-19 pandemic;Pines JM;Am J Emerg Med,2021