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Risk assessment of global COVID-19 pandemic in January 2023
Disease Surveillance ; 38(2):139-143, 2023.
Article in Chinese | GIM | ID: covidwho-2297173
ABSTRACT

Objective:

To assess the global epidemic of Coronavirus disease 2019 (COVID-19) in January 2023 and the risk of importation.

Methods:

According to the daily COVID-19 data publicly released by Johns Hopkins University, combined with the travel restrictions published by Sherpa, an epidemiological description method was used to provide a comprehensive and timely assessment of the global epidemic risk through a general overview, a comprehensive assessment of the epidemic trends in each continent and key countries, as well as a comprehensive analysis of the epidemic and travel requirements in 14 neighbouring countries.

Results:

Compared with the previous month, the number of confirmed cases and deaths respectively decreased by 40.37% and increased by 147.95% globally in January 2023. Daily new confirmed cases showed a decreasing trend, while deaths in all continents stayed stable except Asia in January. The time taken for every 50 million new confirmed cases and 500 thousand deaths globally has increased slightly. The number of deaths in Japan, America, China, and Australia increased rapidly. Zambia, Argentina, New Zealand and Mexico were the countries that showed a sharp rise in the number of deaths in January. Russia was the country with special concern among the 14 neighbouring countries.

Conclusion:

The global daily new confirmed cases and deaths showed a downward trend in January, but the epidemic situation was prominent in some regions and countries. It is necessary to continuously monitor countries with global focus and establish a communication mechanism with relevant agencies to exchange information and provide timely warnings.
Keywords

Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Prognostic study Language: Chinese Journal: Disease Surveillance Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Prognostic study Language: Chinese Journal: Disease Surveillance Year: 2023 Document Type: Article