Data science in a time of crisis: lessons from the pandemic
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Publication:2143931
DOI10.1214/22-STS372INOpenAlexW4280635017MaRDI QIDQ2143931
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Publication date: 31 May 2022
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/22-sts372in
Cites Work
- Statistical challenges in tracking the evolution of SARS-CoV-2
- Interoperability of statistical models in pandemic preparedness: principles and reality
- Real-time estimation of COVID-19 infections: deconvolution and sensor fusion
- Statistical modeling for practical pooled testing during the COVID-19 pandemic
- Learning and predicting from dynamic models for COVID-19 patient monitoring
- Seven principles for rapid-response data science: lessons learned from COVID-19 forecasting
- Being a public health statistician during a global pandemic
- Lessons learned from the COVID-19 pandemic: a statistician's reflection
- Data, science, and global disasters
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