4 Matching Annotations
- Mar 2021
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iuni.iu.edu iuni.iu.edu
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Indiana University Network Science Institute. ‘Alessandro Vespignani on Computational Epidemiology at the Time of COVID-19’. Accessed 7 March 2021. http://iuni.iu.edu/news/event/59.
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- Jul 2020
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Holme, P. (2020). Fast and principled simulations of the SIR model on temporal networks. ArXiv:2007.14386 [Physics, q-Bio]. http://arxiv.org/abs/2007.14386
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- May 2020
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www.washingtonpost.com www.washingtonpost.com
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Stevens, H. & Muyskens, J. (2020 May 14). See how experts use disease modeling to predict coronavirus cases after states reopen. Washington Post. https://www.washingtonpost.com/graphics/2020/health/disease-modeling-coronavirus-cases-reopening/
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www.nature.com www.nature.com
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Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
Tags
- transmission dynamics
- infection
- epidemiology
- prediction
- war time
- is:article
- China
- containment measures
- policy
- COVID-19
- superspreading
- quarentine
- computational modeling
- isolation
- contact tracing
- mathematics
- pharmaceutical
- public health
- open data
- lang:en
- complex network
- intervention
- emergency
- challenge
- antibody testing
- forecast
- modeling
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