Risk assessment of global COVID-19 imported cases into China

Objective: To assess the risk of COVID-19 foreign imports cases to China. Methods: We collected epidemic data (cumulative daily confirmed cases in each country, cumulative confirmed imported cases), demographic data (population density, population) and information on potential source groups of tourists (the daily estimated number of overseas Chinese, overseas Chinese students, overseas workers, foreign students coming to China and flight passengers) and the global health security index (GHS) to assess and predict risk of imported cases for recent (February 1(st) to April 25(th)) and future (after April 26(th)). Results: Strong positive correlation was found among variables including the number of imported cases, cumulative confirmed cases, attack rate, number of overseas Chinese, number of overseas Chinese students, number of foreign students coming to China, number of flight passengers and GHS. In the recent risk analysis, imported cases of Russian were the highest, followed by United Kingdom, United States, France and Spain. In the future risk prediction, 44 countries including United States and Singapore are evaluated as potential high-risk countries in the future through the attack rate index of each country and the estimated average number of daily passengers. Conclusion: The risk assessment of COVID-19 imported cases can be used to identify high-risk areas in recent and future, and might be helpful to strengthen the prevention and control of the epidemic and ultimately overcome the epidemic.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:41

Enthalten in:

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi - 41(2020), 10 vom: 10. Okt., Seite 1582-1587

Sprache:

Chinesisch

Beteiligte Personen:

Shen, S P [VerfasserIn]
Wei, Y Y [VerfasserIn]
Zhao, Y [VerfasserIn]
Jiang, Y [VerfasserIn]
Guan, J X [VerfasserIn]
Chen, F [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Import cases
Journal Article
Risk prediction
Worldwide epidemic trends

Anmerkungen:

Date Completed 17.12.2020

Date Revised 17.12.2020

published: Print

Citation Status MEDLINE

doi:

10.3760/cma.j.cn112338-20200415-00577

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM310375371