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Modeling the interplay between human behavior and the spread of infectious diseases
Piero Manfredi,Alberto d’Onofrio +1 more
- Iss: 1
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Modeling the interplay between human behavior and the spread of infectious diseases and the impact of environmental factors on human behavior is studied.Abstract:
Modeling the interplay between human behavior and the spread of infectious diseases / , Modeling the interplay between human behavior and the spread of infectious diseases / , کتابخانه دیجیتال جندی شاپور اهوازread more
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Efficacy of control measures in the control of Ebola, Liberia 2014-2015.
TL;DR: It is found that social distancing had the most impact on the control of the 2014 Ebola epidemic in Libreria followed by isolation and quarantining.
Journal ArticleDOI
Endogenous social distancing and its underappreciated impact on the epidemic curve.
Marko Gosak,Moritz U. G. Kraemer,Moritz U. G. Kraemer,Heinrich H. Nax,Heinrich H. Nax,Matjaž Perc,Matjaž Perc,Bary S. R. Pradelski +7 more
TL;DR: In this article, the authors use game theory to formalize the interaction of voluntary social distancing in a partially infected population, and derive the key predictions in terms of comparative statics.
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Nash-MFG equilibrium in a SIR model with time dependent newborn vaccination
TL;DR: In this paper, the authors studied the newborn, non-compulsory vaccination in a SIR model with vital dynamics and proved the existence of a Nash-Mean Field Games equilibrium among all individuals in the population.
Journal ArticleDOI
Optimal vaccination strategies and rational behaviour in seasonal epidemics.
TL;DR: A SIRS model with time dependent transmission rate is considered which confers the same immunity as natural infection and the existence of both optimal and Nash strategies in a general setting is shown.
Journal ArticleDOI
Inference of the SARS-CoV-2 generation time using UK household data
William S Hart,Sam Abbott,Akira Endo,Joel Hellewell,Elizabeth Miller,Nick Andrews,Philip K. Maini,Sebastian Funk,Robin N Thompson +8 more
TL;DR: In this paper , the authors provided an improved fit to data from the early months of the COVID-19 pandemic (December 2019-March 2020) compared to existing models (Hart et al., 2021) by using data from a household study conducted from March to November 2020 in the UK.