PubMed COVID-19 Clinical Care

CONCLUSION: Tachycardia and persistent low-grade fever after SARS-CoV-2 infection, which can be confirmed by telemedicine, can be clues for the diagnosis of GD. Therefore, in-person examination should be added if these symptoms are confirmed by

CONCLUSION: Immunization services were most available, while ANC and care for sick children were least available during COVID-19 at the HPs level. There was regional variation in MNCH EHS service availability at all levels.

Rooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic

The coronavirus pandemic is now a public health emergency and has spread to nearly 206 countries across the globe. This novel disease has shaken the psycho-social, economic, and medical infrastructure of India. This has become even more challenging

CONCLUSION: Amid the pandemic, cancer patients safely received treatment. Mild cases were managed at home. Poor outcome was found in comorbid, severe COVID-19 cancer patients. However, the impact of treatment delays on long-term oncological outcomes

We report a rare case of high-volume training-related myopericarditis. A male, 18 years old, elite road bicycle racing cyclist with high-volume training of 1,000 km per week for >7 years, presented with progressively worsening exertional

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

To characterize Coronavirus Disease 2019 (COVID-19) transmission dynamics in each of the metropolitan statistical areas (MSAs) surrounding Dallas, Houston, New York City, and Phoenix in 2020 and 2021, we extended a previously reported compartmental

CONCLUSIONS: Our findings highlight the value of using data sources providing near real-time data, e.g., Google Trends, to detect trends in COVID-19 cases, in order to supplement and extend existing epidemiological models.

CONCLUSION: The COVID-19 pandemic appears to have shifted the epidemiological landscape of bronchiolitis, with a peak incidence in November instead of January/February. Non-RSV viruses (RV, influenza A and B, as well as metapneumovirus) have gained