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COVID‐19 Modeling: High‐Resolution Agent‐Based Modeling of COVID‐19 Spreading in a Small Town (Adv. Theory Simul. 3/2021)
Author(s) -
Truszkowska Agnieszka,
Behring Brandon,
Hasanyan Jalil,
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.202170005
Subject(s) - ping (video games) , library science , covid-19 , citation , computer science , medicine , computer security , disease , pathology , infectious disease (medical specialty)
Since 2020, COVID‐19 has wreaked havoc across the planet, taking the lives of more than one million people. The uncertainty and novelty of the current conditions call for the development of theory and simulation tools that can support effective policy‐making. In article number 2000277, Agnieszka Truszkowska, Maurizio Porfiri, and co‐workers report a high‐resolution, agent‐based modeling platform to simulate the spreading of COVID‐19 in the city of New Rochelle, NY—one of the first outbreaks registered in the United States. Image by Anna Sawulska, Agnieszka Truszkowska, Beata Truszkowska, and Maurizio Porfiri.