4 Matching Annotations
- Mar 2021
-
iuni.iu.edu iuni.iu.edu
-
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.
-
- Jul 2020
-
-
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
-
- May 2020
-
www.washingtonpost.com www.washingtonpost.com
-
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/
-
-
www.nature.com www.nature.com
-
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
- quarentine
- transmission dynamics
- epidemiology
- isolation
- war time
- prediction
- superspreading
- mathematics
- containment measures
- policy
- open data
- emergency
- China
- intervention
- infection
- forecast
- complex network
- COVID-19
- contact tracing
- is:article
- challenge
- public health
- pharmaceutical
- modeling
- lang:en
- antibody testing
- computational modeling
Annotators
URL
-