Search results for “Mask-Wearing

About 2 results in articles

Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing articles matching Mask-Wearing — open any to read the full text, or download the PDF or XML.

2 articles

Urgent Prevention of Corona Virus Disease 2019 (COVID-19): Chinese Eating and Mask-Wearing Cultures

Mar 2020 DOI 10.14302/issn.2641-4538.jphi-20-3264

Chinese people have a very good mask-wearing culture; it is normal to wear masks to protect their faces from wind and pollution. Thus, they easily accept the wearing of masks to prevent infectious diseases, as seen with the Corona Virus Disease 2019 (COVID-19) in China today. However, Chinese people have a dangerous eating culture: they share foods or soups from the same bowls and pots using their personal chopsticks/spoons and emphasize loud talking when eating at banquets or at homes. We think this eating culture has raised the infection risk of COVID-19 from person to person by contamination. Therefore, in this paper, we propose models to elucidate how people are infected with COVID-19 through droplet transmission when eating with Chinese cultural context to address the urgent need to change Chinese eating culture; we believe these study models can help not only the Chinese people, but also other national people, to raise mindfulness of public health, prevent COVID-19 and other infectious diseases, at the present pandemic and in the future.

Biomedical Infophysical Models of Filtering Ghost Airflows by Wearing Masks and Maintaining Social Distancing to Prevent COVID-19 and Reopen All Systems after Shutdowns (Lockdowns)

Jun 2020 DOI 10.14302/issn.2641-4538.jphi-20-3426

The COVID-19 pandemic has killed more than 400 thousand and infected more than 7 million people in the whole world as of 06/10/2020. Many open systems, such as educations, transportations, entertainments, sports or foods, have been completely or partially locked down in many regions of the world to prevent COVID-19 spreading. Therefore, how to reopen all of the open systems after the shutdown has become a world urgent issue. Evidences of COIVD-19 have showed: person-to-person transmission occurs among close contacts; virus droplets (or aerosols) play an important role in the transmission; people can prevent COVID-19 by measures of mask-wearing or maintaining social distancing. However, how these measures work to prevent COVID-19 is still not clear in a perspective of biomedical Infophysics. In this study, (1) we think the transmission of infection can be accomplished by real or virtual person; (2) we define a virtual person as ghost airflow, a term we coin to describe virus droplets (or aerosols) that are initially generated by human carriers and remain in the air to be transmitted. These ghost airflows are as dangerous as the real virus carriers particularly in enclosed (confined) environments; (3) we propose biomedical infophysical models (BMIPM) of filtering the ghost airflows by mask-wearing and maintaining social distancing, to help people to understand the filtering mechanisms and willingly follow the guidelines of preventing covid-19, and therefore to successfully reopen all of the open systems after the shutdowns (lockdowns) and (or) to avoid the shutdowns (lockdowns) in future epidemics or pandemics. Significantly, we compare the prevention efficiencies of COVID-19 between people who are accustomed and not accustomed to masks based on the published WHO, CDC or NHC pandemic data. The compared results support our models in this investigation. Coronaviruses easily survive and have high toxicity, in dirty, wet and cold environments, and the air pollution is linked with higher COVID-19 death rates. The dingy environments and air-conditioning, freezing systems sufficiently provide such necessary dirty, wet and cold conditions and polluted airflows to exacerbate the mortality rate of COVID-19. Therefore, we strongly suggest: to use air conditioners as less as possible, to turn the wind levels as low as possible and to clean (disinfecting) the air-conditioning systems (filters and channels) and environments as frequent as possible.

Frequently asked questions

Are these articles peer-reviewed?
Yes. Articles published at Open Access Pub go through single-blind peer review (double-blind on request) under an editorial board before publication.
Are the articles free to read?
Yes. Every article is open access — read the full text online for free and download the PDF or XML, with no paywall or subscription.
How do I cite an article?
Use the DOI shown on each result and on the article page; it is the permanent, citable link to the article.
How do I read or download an article?
Click "Read full text" to open the article HTML, or use the PDF / XML buttons on each card to download it.