Predicting infections in the Covid-19 pandemic -- lessons learned

Throughout the Covid-19 pandemic, a significant amount of effort had been put into developing techniques that predict the number of infections under various assumptions about the public policy and non-pharmaceutical interventions. While both the available data and the sophistication of the AI models...

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Veröffentlicht in:	arXiv.org 2021-12
Hauptverfasser:	Zehtabian, Sharare, Khodadadeh, Siavash, Turgut, Damla, Bölöni, Ladislau
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Coronaviruses COVID-19 Machine learning Pandemics Performance enhancement Public policy
Online-Zugang:	Volltext
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