Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
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We investigated patients with potential SARS-CoV-2 reinfection in the United States during May-July 2020. ⋯ We did not confirm SARS-CoV-2 reinfection within 90 days of the initial infection based on the clinical and laboratory characteristics of cases in this investigation. Our findings support current CDC guidance around quarantine and testing for patients who have recovered from COVID-19.
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The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected racial and ethnic minority groups, with high rates of death in African American, Native American, and LatinX communities. Although the mechanisms of these disparities are being investigated, they can be conceived as arising from biomedical factors as well as social determinants of health. ⋯ Underpinning these disparities are long-standing structural and societal factors that the COVID-19 pandemic has exposed. Clinicians can partner with patients and communities to reduce the short-term impact of COVID-19 disparities while advocating for structural change.
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High rates of asymptomatic coronavirus disease 2019 infection suggest benefits to routine testing in congregate care settings. Screening was undertaken in a single nursing facility without a known case of coronavirus disease 2019, demonstrating an 85% prevalence among residents and 37% among staff. Serology was not helpful in identifying infections.
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Development and Validation of a Nomogram for Assessing Survival in Patients with COVID-19 Pneumonia.
The outbreak of coronavirus disease 2019 (COVID-19) has spread worldwide and continues to threaten peoples' health as well as put pressure on the accessibility of medical systems. Early prediction of survival of hospitalized patients will help in the clinical management of COVID-19, but a prediction model that is reliable and valid is still lacking. ⋯ We built a predictive model and constructed a nomogram for predicting in-hospital survival of patients with COVID-19. This model has good performance and might be utilized clinically in management of COVID-19.