Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
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The trajectory and impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in sub-Saharan Africa are unclear, but they are seemingly varied between different countries, with most reporting low numbers. We use the situation in Zimbabwe to build an argument that the epidemic is likely to be attenuated in some countries with similar socioeconomic and cultural structures. ⋯ It is also equally important to maintain services for the major infectious diseases in the region, such as tuberculosis and malaria. A breakdown of treatment and prevention services for these conditions may even overshadow the projected morbidity and mortality from coronavirus disease 2019 (COVID-19).
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The human and social toll of the coronavirus disease 2019 (COVID-19) pandemic has already spurred several major public health "lessons learned," and the theme of effective and responsible scientific communication is among them. We propose that Twitter has played a fundamental-but often precarious-role in permitting real-time global communication between scientists during the COVID-19 epidemic, on a scale not seen before. Here, we discuss 3 key facets to Twitter-enabled scientific exchange during public health emergencies, including some major drawbacks. This discussion also serves as a succinct primer on some of the pivotal epidemiological analyses (and their communication) during the early phases of the COVID-19 outbreak, as seen through the lens of a Twitter feed.
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We report diagnosis and management of the first laboratory-confirmed case of coronavirus disease 2019 (COVID-19) hospitalized in Toronto, Canada. No healthcare-associated transmission occurred. In the face of a potential pandemic of COVID-19, we suggest sustainable and scalable control measures developed based on lessons learned from severe acute respiratory syndrome.
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This study aimed to develop mortality-prediction models for patients with coronavirus disease-2019 (COVID-19). ⋯ We developed 2 predictive models for the in-hospital mortality of patients with COVID-19 in Wuhan that were validated in patients from another center.
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Thousands of medical staff have been infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with hundreds of deaths reported. Such loss could be prevented if there were a serologic assay for SARS-CoV-2-specific antibodies for serological surveillance of its infection at the early stage of disease. ⋯ With the assays developed here, we can screen medical staff, incoming patients, passengers, and people who are in close contact with the confirmed patients to identify the "innocent viral spreaders," protect the medical staff, and stop further spread of the virus.