Quantitative evaluation of the role of Fangcang shelter hospitals in the control of Omicron transmission: A case study of the outbreak in Shanghai, China in 2022.

Sheng-Tao Wang, Li Li, Juan Zhang, Yong Li, Xiao-Feng Luo, Gui-Quan Sun

Abstract read

In one paragraph

Article in One health (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it

0cells of the map it votes in

4citing papers in PubMed

–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

4 citing papers in PubMed.

COVID-19 transmission dynamics: age-specific patterns and super spreaders in South Korea.BMC public health · 2026
Article
Research on the location decision-making method of emergency medical facilities based on WSR.Scientific reports · 2023
Article
Forecast for peak infections in the second wave of the Omicron after the adjustment of zero-COVID policy in the mainland of China.Infectious Disease Modelling · 2023
Article
Monitoring Prevalence and Persistence of Environmental Contamination by SARS-CoV-2 RNA in a Makeshift Hospital for Asymptomatic and Very Mild COVID-19 Patients.International journal of public health · 2023
Article

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

6 authors.

Sheng-Tao WangComplex Systems Research Center, Shanxi University, Taiyuan 030006, China.

Li LiSchool of Computer and Information Technology, Shanxi University, Shanxi, Taiyuan 030006, China.

Juan ZhangComplex Systems Research Center, Shanxi University, Taiyuan 030006, China.

Yong LiSchool of Information and Mathematics, Yangtze University, Jingzhou 434023, China.

Xiao-Feng LuoSchool of Mathematics, North University of China, Shanxi, Taiyuan 030051, China.

Gui-Quan SunComplex Systems Research Center, Shanxi University, Taiyuan 030006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since Omicron began to spread in China, Shanghai has become one of the cities with more severe outbreaks. Under the comprehensive consideration of the vaccine coverage rate, the number of Fangcang shelter hospital beds and the number of designated hospital beds in Shanghai, this paper established a deterministic compartmental model and used the Nelder-Mead Simplex Direct Search Algorithm and chi-square values to estimate the model parameters. we calculate ℛ

Indexed as

Basic reproduction numberFangcang shelter hospitalsNelder-Mead simplex direct search algorithmOmicronParameter estimation

Identifiers

PMID36593980

DOI10.1016/j.onehlt.2022.100475

PMCPMC9803829

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LicenceCC BY-NC-ND

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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.