PubMed COVID-19 Clinical Care

The ongoing SARS-CoV-2 pandemic and the influenza epidemics have revived the interest in understanding how these highly contagious enveloped viruses respond to alterations in the physicochemical properties of their microenvironment. By understanding

CONCLUSION: Despite life stressors being the largest predictor of depression symptom score severity, problematic online use also contributed significantly. Therefore, it is recommended that medical students' mental health care services consider

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has shown diverse life-threatening effects, most of which are considered short-term. In addition to its short-term effects, which has claimed many millions of lives since 2019, the long

CONCLUSIONS: Paxlovid PBPK model developed in this study can be applied to predict PK changes in special populations, as well as model the effect of victim and perpetrator DDI. PBPK modeling continues to play a critical role in accelerating drug

The effective use of data in healthcare, and the use of information to support decision-making processes is a key issue. Experiencing the Covid-19 pandemic drove to important developments in a relatively short time. In this context, Cittadinanzattiva

CONCLUSIONS: This study showed higher prevalence of caesarean section delivery rate during COVID-19 pandemic than that compared with 2016 national statistics of Nepal. Despite of several challenges brought by the pandemic, pregnant women were still

CONCLUSION: In the studied population, COVID-19 symptoms had resolved in one-quarter of participants within 18 days, and in 34.5% within 28 days. Over half of the participants reported COVID-19-related symptoms 9 months after infection. Symptom

CONCLUSIONS: The authors conclude from their study that PE is one of the complications of COVID-19 infection. Rising D-dimer during the second week of disease alerts clinicians to do CTPA to exclude or confirm PE. This will help in the early

Cholera, being a global health issue has remarkably affected the wellness of the people, especially in the Democratic Republic of Congo (DRC). This has worsened during the COVID-19 pandemic, and it could be more if no concrete Intervention is done to

CONCLUSIONS: Pandemics such as COVID-19 require rapid and efficient responses to reduce disruptions in health care. Based on characteristics available to health administrators or insurance providers, simple machine learning algorithms can be used to