PubMed COVID-19 Clinical Care

BACKGROUND: : Intercity travel is one of the most important parameters for combating a pandemic. The ongoing COVID-19 pandemic has resulted in different computational studies involving intercity connections. In this study, the effects of intercity

INTRODUCTION: A range of nonpharmaceutical public health interventions has been introduced in many countries following the rapid spread of Covid-19 since 2020, including recommendations or mandates for the use of face masks or coverings in the

This study uses K-Means Clustering to analyze Corona-Virus Diseases (Covid-19). Data mining in medicine has generated novel approaches to examine diseases. Coronavirus is difficult to treat because of its intricate structure, shape, and texture. Due

Background Patients who were SARS-CoV-2 infected could suffer from newly incidental conditions in their post-acute infection period. These conditions, denoted as the post-acute sequelae of SARS-CoV-2 infection (PASC), are highly heterogeneous and

Covid-19 has forced many educational institutions to adopt e-learning as an alternative to physical classroom learning. However, the concern of critical stakeholders in higher educational institutions on the adoption and usage of e-learning system

Giving birth is risky by nature, and this makes pregnant women one of the most vulnerable individuals during the COVID-19 pandemic. For pregnant women in Baybay City, Leyte, conceiving a child during a COVID-19 pandemic means: living with constant

The effectiveness and political feasibility of COVID-19 containment measures such as lockdowns, are contentious. This stems in part from an absence of tools for their rigorous evaluation. Common epidemiological models such as the SEIR model generally

Objectives: In this study, we aimed to clarify and measure the interrelationships among decrease in communication, exercise, and physical and mental health under COVID-19 prevention measures, restricting individuals from going out of the house

CONCLUSION: We used clinical and physiological variables to identify two classes of non-COVID-19-associated ARDS with different baseline characteristics and clinical outcomes. The response to glucocorticoid therapy varied among different classes of

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