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Statistical Considerations for Clinical Trials During COVID-19: Accurate COVID-19 Testing in Clinical Trials

Research output: Contribution to journalArticlepeer-review

Abstract

The World Health Organization (WHO) states that the Coronavirus Disease 2019 (COVID‑19) is caused by a new coronavirus strain of severe acute respiratory syndrome coronavirus‑2 (SARS‑CoV‑2). With such a large number of patients potentially carrying the virus clinical trial results can be affected whether or not a specific trial is for the development of a treatment of COVID-19 or other disease. The issue is that patients during the COVID-19 spread need to be classified by infection through either diagnostic test or antibody test. Due to lack of uniform standards, trials need to collect technical specifications such as sensitivity and specificity. The tests need to correctly measure the COVID-19 virus and have very high sensitivity and specificity; far above 80%.

Original languageAmerican English
JournalLinkedIn
StatePublished - Apr 18 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Disciplines

  • Biostatistics
  • Environmental Public Health
  • Epidemiology
  • Public Health

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