PubMed COVID-19 Clinical Care

Concerns over food safety issues during the coronavirus pandemic (COVID-19) have sparked worldwide interest. Being part of a farm-to-fork food safety chain, food handlers at home are the final line of defense in reducing foodborne diseases. The

Rhino-orbito-cerebral mucormycosis (ROCM) is the most commonly noted form of mucormycosis, which is the most common secondary fungal infection following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Osteomyelitis is one of

Fatigue from post-acute sequelae of coronavirus disease 2019 is a complex constellation of symptoms that could be driven by a wide spectrum of underlying etiologies. Despite this, there seems to be hope for treatment plans that focus on addressing

BACKGROUND AND OBJECTIVES: Response to the Covid-19 pandemic required rapid changes to physical, social, and technological environments. There is a need to understand how independent-living older adults are adapting to pandemic-borne transformations

CONCLUSION: In a sample of low-middle income Chilean families, we identified three different food access profiles that presented a socioeconomic gradient; however, these profiles did not significantly explain children's dietary quality. Studies

CONCLUSIONS: Patients who developed functional tics during the pandemic represent a phenotypic variant of the wider group of patients with functional movement disorders, associated with younger age at onset and influenced by pandemic-related factors

The largest wave of infection with SARS-CoV-2 virus in Ecuador was observed in mid-December 2021 and early January 2022, driven by B.1.1.529/BA (Omicron) variant. During the second half of March, an increase in the number of daily cases was observed

CONCLUSION: Specific adaptation of PCR assays can help overcome the potential loss of sensitivity due to higher levels of PCR multiplexing or sample dilution in pooled testing. Combining these adapted PCR assays with different sample processing

During the Covid-19 pandemic, real-time social media data could in principle be used as an early predictor of a new epidemic wave. This possibility is examined here by employing a neural ordinary differential equation (neural ODE) trained to forecast

The present study sought to explore the distinct discourse norms and evidentiary practices in discussions of COVID-19 in four subcommunities on Reddit. Qualitative analysis found that communities differed in the degree to which they reinforce and