Evidence map›Paper›PMID 34514293›Full record

ArticleAdvanced theory and simulations2021

Designing the Safe Reopening of US Towns Through High-Resolution Agent-Based Modeling.

Agnieszka Truszkowska, Malav Thakore, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri

Abstract read
In one paragraph

Article in Advanced theory and simulations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Agnieszka TruszkowskaCenter for Urban Science and Progress Tandon School of Engineering New York University 370 Jay Street Brooklyn NY 11201 USA.ORCID https://orcid.org/0000-0002-2516-2298
Malav ThakoreDepartment of Mechanical Engineering Northern Illinois University DeKalb IL 60115 USA.
Lorenzo ZinoFaculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen 9747 AG The Netherlands.ORCID https://orcid.org/0000-0002-0946-6523
Sachit ButailDepartment of Mechanical Engineering Northern Illinois University DeKalb IL 60115 USA.ORCID https://orcid.org/0000-0001-9785-7374
Emanuele CaroppoDepartment of Mental Health Local Health Unit ROMA 2 Rome 00159 Italy.
Zhong-Ping JiangDepartment of Electrical and Computer Engineering Tandon School of Engineering New York University 370 Jay Street Brooklyn NY 11201 USA.
Alessandro RizzoDepartment of Electronics and Telecommunications Politecnico di Torino Turin 10129 Italy.
Maurizio PorfiriCenter for Urban Science and Progress Tandon School of Engineering New York University 370 Jay Street Brooklyn NY 11201 USA.ORCID https://orcid.org/0000-0002-1480-3539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

agent‐based modelCOVID‐19epidemiologyurban sciencevaccination

Identifiers

PMID34514293
PMCPMC8420460

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.