PropertyValue
?:abstract
  • BACKGROUND: The COVID‐19 has posed a wide range of urgent questions: about the disease, testing, immunity, treatments, and outcomes. Extreme situations, such as pandemics, call for exceptional measures. However, this threatens the production and application of evidence. METHODS: This article applies standard categories in epistemology to analyse the pandemic in terms of four kinds of uncertainty: Risk, Fundamental uncertainty, Ignorance, and Ambiguity. RESULTS: Mapping the uncertainties of the pandemic onto the four types of uncertainty directs evidence production towards specific tasks in order to address the challenges of the pandemic: Eliminating ambiguity, being alert to the unknown, and gathering data to estimate risks are crucial to preserve evidence and save lives. CONCLUSION: In order to avoid fake facts and to provide sustainable solutions, we need to pay attention to the various kinds of uncertainty. Producing high‐quality evidence is the solution, not the problem.
?:creator
?:doi
?:doi
  • 10.1111/jep.13443
?:journal
  • J_Eval_Clin_Pract
?:license
  • cc-by-nc
?:pdf_json_files
  • document_parses/pdf_json/05c2ccee205faff533db6397b0821639b9794c7f.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7405116.xml.json
?:pmcid
?:pmid
?:pmid
  • 32700472.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Medline; PMC
?:title
  • The first casualty of an epidemic is evidence
?:type
?:year
  • 2020-07-22

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