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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Removing the pump handle: Stewarding data at times of public health emergency

John Snow memorial

There is a saying, incorrectly attributed to Mark Twain, that states: “History never repeat itself but it rhymes”. Seeking to understand the implications of the current crisis for the effective use of data, I’ve drawn on the nineteenth-century cholera outbreak in London’s Soho to identify some “rhyming patterns” that might inform our approaches to data use and governance at this time of public health crisis.

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