PubMed COVID-19 Clinical Care

Cycle threshold (Ct) values in COVID-19 reverse-transcription polymerase chain reaction (RT-PCR) tests estimate the viral load in biological samples. Studies have investigated variables associated with SARS-CoV-2 viral load, aiming to identify

This review addresses the impact of the COVID-19 pandemic on workers' mental health, in particular, teleworking conditions. Our analysis is based on documents from several international organizations and specialized scientific publications. The

This cross-sectional study examined factors associated with occupational stress among 384 dentists working in the private sector in the first year of the COVID-19 pandemic in Brazil. Data were collected from August to October 2020 through an online

The present article addresses the work conditions in health in the context of the COVID-19 pandemic in Brazil. This is a cross-sectional study that used data from the surveys "Working conditions of healthcare professionals in the context of Covid-19

CONCLUSION: This study establishes an association between wildfire-generated PM2.5 and increasing covid-19 incidence, mortality, and severity within the studied area. The findings showed that the risk of covid-19 morbidity and mortality is nearly two

CONCLUSIONS: Our results suggest that COVID-19-related behaviors are impacted more by experience of AIDS mortality instead of HIV/AIDS risk perceptions, and that individuals may be correctly viewing HIV/AIDS and COVID-19 transmission as distinct

CONCLUSIONS: Our findings highlight the booster effect and protective role of 3^(rd) dose. Our results could provide a theoretical foundation for informing decisions regarding SARS-CoV-2 vaccination in elder HCC.

Online tools such as Google Trends and search volume trackers provide potential low-cost methods to evaluate the interest of the public in the current topics once a disaster strikes. A low-cost plugin is available commercially to extract the public

CONCLUSION: COVID-19 was associated with a range of symptoms lasting more than three months after the infection.

Since the beginning of the COVID-19 pandemic, many different machine learning models have been developed to detect and verify COVID-19 pneumonia based on chest X-ray images. Although promising, binary models have only limited implications for medical