- Jun 2020
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www.researchgate.net www.researchgate.net
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Sharma, N., Uttrani, S., & Dutt, V. (2020, June 19). Modeling the Absence of Framing Effect in an Experience-based Covid-19 Disease Problem. 18th Annual Meeting of the International Conference on Cognitive Modelling. https://www.researchgate.net/publication/342313460_Modeling_the_Absence_of_Framing_Effect_in_an_Experience-based_Covid-19_Disease_Problem
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- May 2020
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psyarxiv.com psyarxiv.com
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Hertz, U. (2020). Cognitive learning processes account for asymmetries in adaptations to new social norms [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/7thku
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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
- pharmaceutical
- open data
- computational modeling
- epidemiology
- COVID-19
- isolation
- complex network
- transmission dynamics
- superspreading
- policy
- China
- challenge
- containment measures
- public health
- war time
- is:article
- emergency
- quarentine
- prediction
- mathematics
- lang:en
- contact tracing
- intervention
- antibody testing
- modeling
- infection
- forecast
Annotators
URL
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psyarxiv.com psyarxiv.com
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Lengersdorff, L., Wagner, I., & Lamm, C. (2020, April 20). When implicit prosociality trumps selfishness: the neural valuation system underpins more optimal choices when learning to avoid harm to others than to oneself. https://doi.org/10.31234/osf.io/q6psx
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