mlsanityData to 7 Oct 2026

Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)

arXiv 2201.11109 ↗First posted 21 Jan 2022cs.AI cs.LGcited by 0

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Abstract (arXiv)

The COVID-19 pandemic has been a scourge upon humanity, claiming the lives of more than 5.1 million people worldwide; the global economy contracted by 3.5% in 2020. This paper presents a COVID-19 calculator, synthesizing existing published calculators and data points, to measure the positive U.S. socio-economic impact of a COVID-19 AI/ML pre-screening solution (algorithm & application).

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 29 references that are in the map. First posted on arXiv 21 Jan 2022.

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References · 5

  1. 2020Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Datacited by 60
  2. 2020Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosiscited by 58
  3. 2020COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordingscited by 36
  4. 2021Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Datacited by 21
  5. 2021DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acousticscited by 21

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