Coronavirus disease 2019 (COVID-19) pandemic has caused a total of 55 928 327 confirmed cases and 1 344 003 deaths as of November 19, 2020. But so far the origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes this pandemic has remained undetermined. The purpose of this study is to review the current research of SARS-CoV-2 and the existing problems therein, which may provide inspiration for further researches. Existing evidence suggested that SARS-CoV-2 may be derived from bat coronavirus 40-70 years ago. During the evolution, this virus underwent extensive variations in the process of mutations and natural selection. Different genomic regions of SARS-CoV-2 may have different selection pressures, but all of which increase the difficulty of tracing the origin of this virus. A wide variety of animals have been considered as potential hosts of SARS-CoV-2, including cats, lions, tigers, dogs and minks. SARS-CoV-2 has a chance to transmit from humans to animals and can be transmitted among animals. Current research evidence has shown that China is not the original source of SARS-CoV-2. It is still unclear how the virus spreads to human, and efforts are still need to be made to explore the origin of SARS-CoV-2, its hosts and intermediate hosts, and the mechanism of its transmission across different species of animals.
Animals ; COVID-19/transmission* ; Cats ; China ; Chiroptera/virology* ; Disease Vectors ; Dogs ; Evolution, Molecular ; Humans ; SARS-CoV-2/classification*

BACKGROUND: To combat coronavirus disease 2019 (COVID-19), many countries have used contact tracing apps, including Japan's voluntary-use contact-confirming application (COCOA). The current study aimed to identify industry and workplace characteristics associated with the downloading of this COVID-19 contact tracing app. METHODS: This cross-sectional study of full-time workers used an online survey. Multiple logistic regression analysis was used to evaluate the associations of industry and workplace characteristics with contact tracing app use. RESULTS: Of the 27,036 participants, 25.1% had downloaded the COCOA. Workers in the public service (adjusted odds ratio [aOR] = 1.29, 95% confidence interval [CI] 1.14-1.45) and information technology (aOR = 1.38, 95% CI 1.20-1.58) industries were more likely to use the app than were those in the manufacturing industry. In contrast, app usage was less common among workers in the retail and wholesale (aOR = 0.87, 95% CI 0.76-0.99) and food/beverage (aOR = 0.81, 95% CI 0.70-0.94) industries, but further adjustment for company size attenuated these associations. Workers at larger companies were more likely to use the app. Compared with permanent employees, the odds of using the app were higher for managers and civil servants but lower for those who were self-employed. CONCLUSIONS Downloading of COCOA among Japanese workers was insufficient; thus, the mitigating effect of COCOA on the COVID-19 pandemic is considered to be limited. One possible reason for the under-implementation of the contact tracing app in the retail and wholesale and food/beverage industries is small company size, as suggested by the fully adjusted model results. An awareness campaign should be conducted to promote the widespread use of the contact tracing app in these industries.
Adult ; COVID-19/prevention & control* ; Contact Tracing/methods* ; Cross-Sectional Studies ; Female ; Humans ; Industry/classification* ; Japan/epidemiology* ; Male ; Middle Aged ; Mobile Applications/statistics & numerical data* ; SARS-CoV-2 ; Smartphone ; Workplace/statistics & numerical data*

The aim of this study was to estimate the seroprevalence of immunoglobulin M (IgM) and G (IgG) antibodies against SARS-CoV-2 in asymptomatic people in Wuhan. This was a cross-sectional study, which enrolled 18,712 asymptomatic participants from 154 work units in Wuhan. Pearson Chi-square test,
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Antibodies, Viral/blood* ; COVID-19/immunology* ; Carrier State/immunology* ; Child ; Child, Preschool ; China/epidemiology* ; Coronavirus Nucleocapsid Proteins/immunology* ; Cross-Sectional Studies ; Female ; Humans ; Immunoglobulin G/blood* ; Immunoglobulin M/blood* ; Male ; Middle Aged ; Occupations/classification* ; Phosphoproteins/immunology* ; SARS-CoV-2/immunology* ; Seroepidemiologic Studies ; Spike Glycoprotein, Coronavirus/immunology* ; Young Adult