Evidence map›Paper›PMID 36548654›Full record

ArticleTropical medicine and infectious disease2022

Assessment Model for Rapid Suppression of SARS-CoV-2 Transmission under Government Control.

Lihu Pan, Ya Su, Huimin Yan, Rui Zhang

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 50% of its field
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

4 authors at 2 institutions in 1 country.

Lihu PanSchool of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Ya SuSchool of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Huimin YanInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Rui ZhangSchool of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Taiyuan University of Science and Technology · CNInstitute of Geographic Sciences and Natural Resources Research · CN

Funding

Excellent Innovation Project for Postgraduates in Shanxi Province - Research on multi-agent simulation model of COVID-19 spread and prevention and control based on mesoscience ID:2022Y698Large-scale artificial social model simulation based on high performance computing ID: 201901D111258Shanxi Province Intelligent Software and Human Machine Environment System Postgraduate Joint Training Demonstration Base ID:2022JD11
6 · The paper itself

Abstract

The rapid suppression of SARS-CoV-2 transmission remains a priority for maintaining public health security throughout the world, and the agile adjustment of government prevention and control strategies according to the spread of the epidemic is crucial for controlling the spread of the epidemic. Thus, in this study, a multi-agent modeling approach was developed for constructing an assessment model for the rapid suppression of SARS-CoV-2 transmission under government control. Different from previous mathematical models, this model combines computer technology and geographic information system to abstract human beings in different states into micro-agents with self-control and independent decision-making ability; defines the rules of agent behavior and interaction; and describes the mobility, heterogeneity, contact behavior patterns, and dynamic interactive feedback mechanism of space environment. The real geospatial and social environment in Taiyuan was considered as a case study. In the implemented model, the government agent could adjust the response level and prevention and control policies for major public health emergencies in real time according to the development of the epidemic, and different intervention strategies were provided to improve disease control methods in the simulation experiment. The simulation results demonstrate that the proposed model is widely applicable, and it can not only judge the effectiveness of intervention measures in time but also analyze the virus transmission status in complex urban systems and its change trend under different intervention measures, thereby providing scientific guidance to support urban public health safety.

Indexed as

multi-agent modelingpublic health securitySARS-CoV-2 transmissionurban outbreak prevention and controlvirus prevention and control strategies

Identifiers

PMID36548654
PMCPMC9781136
OpenAlexW4310153791

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.