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1.
Hirosaki Medical Journal ; 72(1-4):34-42, 2022.
Article in English | Scopus | ID: covidwho-1958455

ABSTRACT

Background & Aims: The aim of the present study was to elucidate the possible factors responsible for the difference in the COVID-19 case fatality rate by country. Methods: In reference to the reported studies, 14 factors possibly related to COVID-19 case fatality rate were identified. Of the 191 countries and regions listed on the global map of the COVID-19 dashboard by the Center for Systems Science and Engineering at Johns Hopkins University, 79 countries were selected taking into account the amount of data and its reliability. Correlations of the COVID-19 case fatality rate with 13 possible factors were investigated. Epidemiological data such as food consumption, and meteorological data were obtained from public online databases. Results: Only fish and seafood consumption had a negative correlation with the case fatality rate by country. Seafood consumption decades ago correlated better than that in 2017. The correlation coefficient between sea food consumption and the COVID-19 case fatality rate decreased from -0.51 in 1970 to -0.29 in 2017. Conclusion: Fish and seafood eating habit during childhood and young adulthood may be associated with decreased death by COVID-19 in their later years. © 2022 Hirosaki University School of Medicine. All rights reserved.

2.
Hirosaki Medical Journal ; 72(1-4):1-5, 2022.
Article in English | Scopus | ID: covidwho-1958209

ABSTRACT

Purpose: To clarify the association between the coronavirus disease 2019 pandemic curve and Google Trends search volumes for the disease during the three major epidemic waves in Japan. Method: Correlation between the number of cases of coronavirus disease 2019 in Japan and the internet search volume for “corona” in the period 12th January 2020 to 19th February 2021 was evaluated using the open database provided by the Japan Broadcasting Corporation and Google Trends index data. Results: The peak search volume for “corona” was highest during the first wave and lowest during the third wave. In contrast, the peak number of new cases per week was lowest during the first wave and highest during the third wave. The search volume and number of new cases per week showed strong correlations in each wave;however, the search volume in each wave decreased remarkably from the first to the third wave. Conclusion: This study identified evidence of so-called “pandemic fatigue”, a habituation reaction against COVID-19, in Japan. Prolonged and repeated waves of the epidemic have made people less sensitive for preventing spread of coronavirus disease 2019. Sustained, clear communication will be required to elicit the cooperation of the population in controlling the pandemic. © 2022 Hirosaki University School of Medicine. All rights reserved.

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