PubMed COVID-19 Clinical Care

This editorial provides an in-depth review of the Ayushman Bharat initiative, India's universal healthcare scheme, designed to address significant disparities in healthcare access and quality across the country. Following the structure of the

Introduction The challenges of delivering cardiac arrest (CA) courses in rural and remote (R&R) locations worldwide have been further exacerbated by the COVID-19 pandemic. However, it is important to note that this problem has always existed. The

CONCLUSIONS AND IMPLICATIONS: Our findings add to fundamental understanding of the relationship between uncertainty, sensory processing, and stress by leveraging a natural experiment in increased uncertainty. These results have the potential to

CONCLUSION: The results of all three approaches indicate considerable education inequality in CFR in favor of groups of high education levels. These results can improve the prioritization and impact of public health interventions, including

BACKGROUND: Primary care and other health services have been disrupted during the COVID-19 pandemic, yet the consequences of these service disruptions on patients' care experiences remain largely unstudied. People with mental-physical multimorbidity

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CONCLUSION: The pandemic waivers allowed sponsors to test different models of distribution. Parents/guardians responded positively to the opportunity to access grab-and-go meals; multiple meals at once; and meals without a child present. These

Mpox (formerly known as monkeypox) is an orthopoxvirus based zoonotic infection that induces a smallpox-like human illness. Since the Democratic Republic of the Congo reported the first human case of mpox in 1970, the disease has proliferated to

Lipid nanoparticles (LNPs) have shown great promise as delivery vehicles to transport messenger ribonucleic acid (mRNA) into cells and act as vaccines for infectious diseases including COVID-19 and influenza. The ionizable lipid incorporated within

Covid-19 has swept the world since 2020, taking millions of lives. In order to seek a rapid diagnosis of Covid-19, deep learning-based Covid-19 classification methods have been extensively developed. However, deep learning relies on many samples with