Designing the Safe Reopening of US Towns Through High‐Resolution Agent‐Based Modeling
Designing the Safe Reopening of US Towns Through High‐Resolution Agent‐Based Modeling
复制标题
通过基于高分辨率代理的建模设计美国城镇的安全重新开放
DOI:
10.1002/adts.202100157
复制
发表时间:
2021
影响因子:
3.3
通讯作者:
Porfiri, Maurizio
中科院分区:
文献类型:
--
作者:
Truszkowska, Agnieszka;Thakore, Malav;Zino, Lorenzo;Butail, Sachit;Caroppo, Emanuele;Jiang, Zhong‐Ping;Rizzo, Alessandro;Porfiri, Maurizio
As COVID‐19 vaccine is being rolled out in the US, public health authorities are gradually reopening the economy. To date, there is no consensus on a common approach among local authorities. Here, a high‐resolution agent‐based model is proposed to examine the interplay between the increased immunity afforded by the vaccine roll‐out and the transmission risks associated with reopening efforts. The model faithfully reproduces the demographics, spatial layout, and mobility patterns of the town of New Rochelle, NY — representative of the urban fabric of the US. Model predictions warrant caution in the reopening under the current rate at which people are being vaccinated, whereby increasing access to social gatherings in leisure locations and households at a 1% daily rate can lead to a 28% increase in the fatality rate within the next three months. The vaccine roll‐out plays a crucial role on the safety of reopening: doubling the current vaccination rate is predicted to be sufficient for safe, rapid reopening.
DOI:
10.1001/jama.2020.6775
发表时间:
2020-01-01
期刊:
JAMA, Journal of the American Medical Association
影响因子:
--
作者:
Richardson, Safiya;Hirsch, Jamie S.;,
通讯作者:
,
影响因子:
3.3
作者:
Truszkowska, Agnieszka;Behring, Brandon;Porfiri, Maurizio
通讯作者:
Porfiri, Maurizio