COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing
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DOI: 10.1080/13669877.2020.1756381
Abstract: Abstract COVID-19 testing strategies are primarily driven by medical need - focusing on people already hospitalized with significant symptoms or on people most at risk. However, such testing is highly biased because it fails to… read more here.
Keywords: data avoid; death; causal explanations; covid infection ... See more keywords