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Designing the Safe Reopening of US Towns Through High‐Resolution Agent‐Based Modeling (Adv. Theory Simul. 9/2021)
Author(s) -
Truszkowska Agnieszka,
Thakore Malav,
Zino Lorenzo,
Butail Sachit,
Caroppo Emanuele,
Jiang ZhongPing,
Rizzo Alessandro,
Porfiri Maurizio
Publication year - 2021
Publication title -
advanced theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.068
H-Index - 17
ISSN - 2513-0390
DOI - 10.1002/adts.202170019
Subject(s) - covid-19 , resolution (logic) , high resolution , public health , computer science , business , sociology , medicine , artificial intelligence , geology , remote sensing , nursing , disease , infectious disease (medical specialty) , pathology
COVID‐19 Agent‐Based Modeling Toward Safe Reopening As COVID‐19 vaccine is being rolled‐out, theory and simulation tools could assist public health authorities in reopening the economy. In article number 2100157, Agnieszka Truszkowska, Maurizio Porfiri, and co‐workers examine the role of the vaccination rate on the spreading of COVID‐19 in a high‐resolution, agent‐based model of the city of New Rochelle, NY. Image by Anna Sawulska and Maurizio Porfiri.