COVID-19 era, Preventive effect of no going out against co-infection of the seasonal influenza virus and SARS-CoV-2

Author:

Hayashi TakumaORCID,Yaegashi Nobuo,Konishi Ikuo

Abstract

AbstractIn the situation where expansion of coronavirus infectious disease-2019 (COVID-19) does not stop, there is concern about co-infection of people with the seasonal influenza infections from late autumn to winter 2020. Therefore, the importance of supplying vaccines against the seasonal influenza has been pointed out all over the world. As an example in Japan, the number of people infected with the seasonal influenza, hand-foot-and-mouth disease (HFMD), epidemic keratoconjunctivitis, and pharyngoconjunctival fever (PCF), which are the seasonal infectious diseases in the 2020 season, has decreased remarkably compared to the number of people infected each year. It is believed that the significant reduction in the number of people infected with these seasonal infectious diseases is a result of the pervasive hand washing, wearing masks and maintaining social distance in COVID-19 rea. To examine the correlation between the three factors of the number of people with each seasonal infectious disease, the mask wearing rate, and the outing rate, we created a three-dimensional scatter plot based on these three factors using principal component analysis. Our research findings demonstrated preventive effect of no going out against co-infection with the seasonal influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Publisher

Cold Spring Harbor Laboratory

Reference6 articles.

1. Protect yourself and others from the spread COVID-19,Coronavirus disease (COVID-19) advice for the public. Last updated 4 June 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public2019/advice-for-public

2. Please follow the advice below, About the coronavirus disease (COVID-19). March 23, 2020. https://www.metro.tokyo.lg.jp/english/topics/2020/0128_00.html

3. The Tokyo Infectious Diseases Weekly Report, Infectious Disease Surveillance. Last up date August 20, 2020. http://idsc.tokyo-eiken.go.jp/assets/weekly/2020/33e.pdf

4. Updates on COVID-19 in Tokyo, Transition of test positives by reported date. Last update Aug 26, 2020. https://stopcovid19.metro.tokyo.lg.jp/en

5. Barraza L , Claudia Reeves C , Campos-Outcalt D. Outcome of Coronavirus Disease 2019 on School Vaccination Policies for 2020-2021. JAMA. 2020. https://jamanetwork.com/channels/health-forum/fullarticle/2769696?utm_source=silverchair&utm_campaign=jama_network&utm_content=covid_weekly_highlights&utm_medium=email

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