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논문 기본 정보

자료유형
학술저널
저자정보
Kwon O-kyu (National Institute for Mathematical Sciences)
저널정보
한국역학회 Epidemiology and Health Epidemiology and Health Vol.44
발행연도
2022.1
수록면
1 - 7 (7page)
DOI
10.4178/epih.e2022006

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초록· 키워드

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OBJECTIVES: We analyzed data to determine whether there are distinguishing characteristics depending on the success or failure of control for coronavirus disease 2019 (COVID-19) by country in the trend of the daily number of confirmed cases and the number of tests. METHODS: We obtained the number of confirmed cases and tests per day for almost every country in the world from Our World in Data. The Pearson correlation between the two time series was calculated according to the time delay to analyze the relationship between the number of tests and the number of cases with a lag. RESULTS: For each country, we obtained the time lag that makes the maximum correlation between the number of confirmed cases and the number of tests for COVID-19. It can be seen that countries whose time lag making maximum correlation lies in a special section between about 15 days and 20 days are generally been successful in controlling COVID-19. That section looks like a trench on the battlefield. CONCLUSIONS: We have seen the possibility that the success in mitigating COVID-19 can be expressed as a simple indicator of the time lag of the correlation between confirmed cases and tests. This time lag indicator is presumably reflected by efforts to actively trace the infected persons.

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