Covid-19 through the lens of the peer-reviewed literature: January to May 2020

Tower of books, Prague

As medical students and budding clinical academics, we have been following developments through the current coronavirus pandemic with interest. We are quite bewildered by the vast amount of data being shared via social media as well as more ‘traditional’ routes such as mainstream media and peer-reviewed journals. This surge in information (of highly variable quality) has been described by the World Health Organization (WHO) as an “infodemic” and has necessitated a “myth busters” section on their website to address the spread of misinformation.

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Robust Bayesian modelling for Covid-19 data in Italy

Italy social distancing poster

On 21 February 2020, the first person-to-person transmission of SARS-CoV-2 – the virus responsible for Covid-19 – was reported in Italy. After that, the number of people infected with Covid-19 increased rapidly, first in northern regions and then in all Italian territories.

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A confluence of acute and chronic diseases: Risk factors among Covid-19 patients

face masks

Covid-19 is a highly contagious infectious disease caused by the newly emerged virus, SARS-CoV-2. The virus rapidly spread and was declared a pandemic by the World Health Organization on 11 March 2020. By 26 May 2020, worldwide confirmed cases reached 5,543,439 with 347,836 deaths.1

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