PubMed COVID-19 Clinical Care

CONCLUSIONS: Prevalence of health problems increased during the COVID-19 pandemic in all education groups, but the increase was higher in women and men with a high level of education, suggesting that its impact appeared later in this group. Further

CONCLUSIONS: SVI can help assess the vulnerability or resilience of communities to the spread of COVID-19 and can help identify communities at high risk of COVID-19 spread.

The ongoing SARS-CoV-2 pandemic has caused a high demand for novel innovative antiviral drug candidates. Despite promising results, metal complexes have been relatively unexplored as antiviral agents in general and in particular against SARS-CoV-2

CONCLUSIONS: Multiple factors were associated with delays in care-seeking early in the COVID-19 pandemic, with food insecurity and concerns about infection showing significant associations in multiple countries. These findings highlight the need to

The COVID-19 has had a profound negative impact on the population's mental health. This study aimed to determine the prevalence of depressive and anxiety symptoms in the general population during the third wave of the COVID-19 pandemic and to

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CONCLUSIONS: Our findings provide insight into the experiences of an understudied population during the pandemic and identify positive family relationships and health behaviours as important correlates of mental health during this time.

CONCLUSION: COVID-19 had a limited impact on school attendance problems during this period. Findings highlighted the role of child mental health in different types of absence and the likely protective role of a positive parent-teacher relationship.

We report the case of a 3-year-old who was highly sensitized and received cardiac transplantation from a donor in the acute phase of SARS-CoV-2 infection. Despite maximal immunosuppression owing to a positive cross-match and desensitization protocol

OBJECTIVES: Syndromic surveillance can help identify the onset, location, affected populations, and trends in infectious diseases quickly and efficiently. We developed an electronic medical record-based surveillance algorithm for COVID-19-like