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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.
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Objective: To assess the global epidemic of Coronavirus disease 2019 (COVID-19) in December 2022 and the risk of importation. Methods: According to the daily COVID-19 data publicly released by Johns Hopkins University, combined with the policy stringency index published by the University of Oxford, an epidemiological description method was used to provide a comprehensive and timely assessment of the global epidemiological risk overview, a comprehensive assessment of the epidemic trends in each continent and key countries, as well as a comprehensive analysis of the epidemic and prevention and control policies in 14 neighboring countries. The assessment results for each country are expressed as countries of gl, "countries of the general concern in each continent" and "neighboring countries of special concern". Results: Compared with the previous month, the number of confirmed cases and deaths respectively increased by 38.92% and 25.95% globally in February 2022. Daily new confirmed cases and deaths in the Asia continued to rise in December. The time taken for every new 50 mill confirmed cases and 50 thousand deaths globally has increased significantly. Japan, Korea, America and France were countries with global concern. Brazil, Argentina, Mexico, Mauritius and Australia were the countries of general concern in each continent. Russia with was the special count among the 14 neighboring countries. Conclusion: The global daily new confirmed cases and deaths showed a downward trend after mid-December, but the epidemic situation was prominent in some regions and countries. information and provide timely warnings.
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Faced with the current time-sensitive COVID-19 pandemic, the overburdened healthcare systems resulted in a strong demand to develop newer methods to control the spread of the pandemic. Big data and artificial intelligence (AI) have been leveraged amid the COVID-19 pandemic; however, little is known about its use for supporting public health efforts. In epidemic surveillance and containment, efforts are needed to treat critical patients, track and manage the health status of residents, isolate suspected cases, develop vaccines and antiviral drugs. The applications of emerging practices of artificial intelligence and big data have become powerful "weapons" to fight against the pandemic and provide strong support in pandemic prevention and control, such as early warning, analysis and judgment, interruption and intervention of epidemic, to achieve goals of early detection, early report, early diagnosis, early isolation and early treatment, and these are the decisive factors to control the spread of the epidemic and reduce the mortality. This paper systematically summarizes the application of big data and AI in epidemic, and describes practical cases and challenges with emphasis in epidemic prevention and control. The included studies showed that big data and AI have the potential strength to fight against COVID-19. However, many of the proposed methods are not yet widely accepted. Thus, the most rewarding research will be on methods promising value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for practice.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in October 2022 and the risk of importation.
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After the outbreak of COVID-19, the interaction of infectious disease systems and social systems has challenged traditional infectious disease modeling methods. Starting from the research purpose and data, researchers improved the structure and data of the compartment model or used agents and artificial intelligence based models to solve epidemiological problems. In terms of modeling methods, the researchers use compartment subdivision, dynamic parameters, agent-based model methods, and artificial intelligence related methods. In terms of factors studied, the researchers studied 6 categories: human mobility, nonpharmaceutical interventions (NPIs), ages, medical resources, human response, and vaccine. The researchers completed the study of factors through modeling methods to quantitatively analyze the impact of social systems and put forward their suggestions for the future transmission status of infectious diseases and prevention and control strategies. This review started with a research structure of research purpose, factor, data, model, and conclusion. Focusing on the post-COVID-19 infectious disease prediction simulation research, this study summarized various improvement methods and analyzes matching improvements for various specific research purposes.
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Objectives: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in September 2022 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019 (COVID-19) in August 2022 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in May 2022 and the risk of importation.
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Objective: This study conducted bibliometric analysis of COVID-19 related literature, to understand the research status of COVID-19, explore the latest progress and research trends in the field of COVID-19 research, and provide data support for the construction of a comprehensive and detail system based on COVID-19 literature.
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Objective: To assess the global epidemic of Coronavirus disease 2019 (COVID-19) in March 2022 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19)in January 2022 and the risk of importation.
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Objective: To understand the mental health status and its influential factors of staff of Chinese enterprises in Ethiopia.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19)in December 2021 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in November 2021 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in October 2021 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in September 2021 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in August 2021 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in July 2021 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in June 2021 and the risk of importation.
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Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in May 2021 and the risk of importation.