PubMed COVID-19 Clinical Care

CONCLUSION: Our results indicate that parent screen use may represent a key component of children's media ecology. Given the importance of global development in early childhood for later health and achievement, the present results suggest that

CONCLUSION: Some studies also claim that smoking can be protective. There is still no clarity on this issue. It was concluded that smoking has no effect on the duration of ICU stay and mortality in patients treated in the ICU with respiratory failure

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OBJECTIVES: To explore the mediating role of self-esteem in social anxiety and QoL during the COVID-19 local epidemic in China.

CONCLUSIONS FOR PRACTICE: Despite the difficulties and perceived dangers of in-person visits during the COVID-19 pandemic, the COVID-19 pandemic had little negative impact upon the outpatient prenatal care received by patients in this hospital system

Numerous clinical parameters link to severe coronavirus disease 2019, but factors that prevent symptomatic disease remain unknown. We investigated the impact of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) and endemic human

CONCLUSION: Our findings indicated a high presence of NAbs against SARS-CoV-2 spike protein among asymptomatic individuals in N'Djamena. This could be one of the reasons for the low severity of Covid-19 observed in this area, given the key role of

Coronavirus disease 2019 is a global pandemic, particularly affecting individuals with pre-existing lung conditions and potentially leading to pulmonary fibrosis. Age and healthcare system limitations further amplify susceptibility to both diseases

The US public health infrastructure has been historically underfunded, a condition that was exacerbated by the COVID-19 pandemic. This was especially noted in the area of public health informatics. It was also acknowledged that the lack of a diverse

Early detection and prediction of disease outbreaks are crucial for public health service delivery, containment response, saving patient lives, and reducing costs. We propose a new data-driven statistical methodology for outbreak detection and