PubMed COVID-19 Clinical Care

CONCLUSIONS: Of note is the high prevalence of COVID-19 infection observed. A strong correlation between the prevalence of active physical activity among COVID-19 patients and gender, marital status, residence, education, and occupation. Unexpectedly

With the paucity of data available regarding COVID-19 in pregnancy in low- and middle-income countries (LMICs), near the start of the pandemic, the Global Network for Women's and Children's Health Research, funded by the National Institute of Child

No abstract

CONCLUSIONS AND IMPLICATIONS: We discuss the effects of the COVID-19 pandemic on students' reading performance and the implications for effective reading instructions in the future.

The metaverse has a promising role to serve as a global platform and tackle one of the most intractable public health challenges; vaccine hesitancy. Active efforts in this field can enhance vaccine acceptance thus leading to better community health

The coronavirus disease (COVID-19) pandemic leveraged telemedicine worldwide mainly due to the need for social distancing, patient safety, and infection prevention. The Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo

Mental disorders are common among persons with tuberculosis (TB), and the COVID-19 pandemic has only amplified the mental and physical health consequences of this deadly synergy. Here, we call to attention the immense vulnerability of people with TB

We repeated a Portuguese study, 5 months after a first evaluation, to observe any change in the average levels of trust of professional groups during the COVID-19 pandemic. From our sample of the Portuguese population, 1455 completed the

The COVID-19 pandemic has changed many aspects of people's lives, including not only individual social behavior, healthcare procedures, and altered physiological and pathophysiological responses. As a result, some medical studies may be influenced by

In this paper, we propose a Susceptible-Infected-Removal (SIR) model with time fused coefficients. In particular, our proposed model discovers the underlying time homogeneity pattern for the SIR model's transmission rate and removal rate via Bayesian