PubMed COVID-19 Clinical Care

BACKGROUND: During the COVID-19 pandemic, many Americans experienced new or worsened mental health conditions. Concurrently, much care switched from in-person to virtual care, highlighting the value of virtual care but also some of the underlying

Primary care antimicrobial stewardship programs are virtually non-existent. Using electronic medical record (EMR) data for an interrupted time series study, the authors examined the relationship between antibiotic prescriptions for acute respiratory

CONCLUSIONS: In summary, these results suggest that an RNAi based on amiRNA targeting the conserved region of the virus is an effective method to improve PEDV nucleic acid inhibitors and provide a novel treatment strategy for PEDV infection.

No abstract

CONCLUSIONS: This review provided an analysis of the vulnerability factors of migrant women and the pathways leading to negative outcomes during a disaster. Overall, the COVID-19 pandemic demonstrated that health equity is a goal that is still far to

Worldwide studies continuously confirm that vaccination is a safe and effective method of combating various infectious diseases and a key component of global public health programs. However, the vaccination status of a population is often lower than

CONCLUSION: This academic-community partnership engaging student volunteers can be a low-cost, high-value resource to support public health systems meet the information needs of their community, particularly during periods of crisis or rapid changes

CONCLUSIONS: The results show pronounced state-level differences in the magnitude of excess mortality during the COVID-19 pandemic in Germany. Economic activity, employment and capacity of intensive care units were the most important state-level

CONCLUSION: Although the relationship between vaccination and VD cannot be established, clinicians should be aware of this rare adverse effect.

This paper delves into the investigation of the COVID-19 dynamics within a host using the Target-Latent-Infected-Virus (TLIV) model, presenting a fresh approach compared to previous studies. Our model introduces a latent class and explores