Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease

In this study published in EClinicalMedicine, Du et al. [1] use a novel approach to estimate unseen COVID-19 cases early in the pandemic, when neither awareness of the disease nor suitable testing was available. By retrospectively testing samples from patients seeking treatment for seasonal flu, then calculating the ‘COVID-19-to-influenza positives ratio’ (CIPR) of SARS-CoV-2 positives to flu…

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