How containment policy and medical service impact COVID-19 transmission: A cross-national comparison among China, the USA, and Sweden. (1st June 2023)

• Record Type: Journal Article
• Authors: Zhang, Zhao; Fu, Daocheng; Wang, Jinghua
• Is Part Of: International journal of disaster risk reduction. Volume 91(2023)
• Publication Date: 2023-06-01
• Subjects: COVID-19 -- SIR model -- Spreading rate -- Epidemic fundamental diagram -- Medical service; Emergency management -- Periodicals; Risk management -- Periodicals; Disaster relief -- Periodicals; Hazard mitigation -- Periodicals; 363.34
• DOI: 10.1016/j.ijdrr.2023.103685
• Languages: English
• ISSNs: 2212-4209

Abstract

Abstract: As COVID-19 shows a heterogeneous spreading process globally, investigating factors associated with COVID-19 spreading among different countries will provide information for containment strategy and medical service decisions. A significant challenge for analyzing how these factors impact COVID-19 transmission is assessing key epidemiological parameters and how they change under different containment strategies across different nations. This paper builds a COVID-19 spread simulation model to estimate the core COVID-19 epidemiological parameters. Then, the correlation between these core COVID-19 epidemiological parameters and the times of publicly announced interventions is analyzed, including three typical countries, China (strictly containment), the USA (moderately control), and Sweden (loose control). Results show that the recovery rate leads to a distinct COVID-19 transmission process in the three countries, as all three countries finally have similar and close to zero spreading rates in the third period of COVID-19 transmission. Then, an epidemic fundamental diagram between COVID-19 "active infections" and "current patients" is discovered, which could plan a country's COVID-19 medical capacity and containment strategies when combined with the COVID-19 spreading simulation model. Based on that, the hypothetical policies are proved effectively, which will give support for future infectious diseases.