PubMed COVID-19 Clinical Care

[This corrects the article DOI: 10.1371/journal.pone.0260989.].

CONCLUSIONS: We propose 2 predictive algorithms based on routine clinical data that differentiate primary COVID-19 from incidental SARS-CoV-2 infection. These algorithms can provide a precise surveillance tool that can contribute to pandemic

OBJECTIVE: The aim of this study is to review the life of patients with psoriasis on biologic therapy during the SARS-CoV-2 pandemic and the relevance of frailty within this context, reviewing studies that describe the course and severity of

CONCLUSION: Risk perception is influenced by emotions, experiences, and knowledge. Sense of coherence and resilience have a role in reducing risk perception. Understanding risk perception is crucial for developing effective strategies to mitigate the

CONCLUSION: The adoption of lists of essential health services was optimal. The status of delivery of essential health services was high for maternal healthcare. Neonatal care at birth, malnutrition treatment, and cardiovascular disease management

Current antigen delivery platforms, such as alum and nanoparticles, are not readily tunable, thus may not generate optimal adaptive immune responses. We created an antigen delivery platform by loading lyophilized Microporous Annealed Particle (MAP)

CONCLUSIONS: Long-term social protection programs need to be carefully designed and implemented to address food insecurity among vulnerable groups, considering each country's market conditions, consumer food purchasing behaviors, and financial

CONCLUSION: Patients with mild COVID-19 had a similar risk of lung injury as patients with severe COVID-19. Thus, using chest computed tomography to detect lung injury can enhance the treatment outcomes and reduce the patient's risk of pulmonary

CONCLUSIONS: These findings elucidate how health systems centered equity during HICS implementation. Health systems and regulatory bodies can use these findings as a foundation to revise the HICS and move towards a more equitable disaster response.

CONCLUSIONS: We propose 2 predictive algorithms based on routine clinical data that differentiate primary COVID-19 from incidental SARS-CoV-2 infection. These algorithms can provide a precise surveillance tool that can contribute to pandemic