Evidence map›Paper›PMID 39870675›Full record

ArticleScientific reports2025

Urban pandemic governance personal protective equipment allocation strategies: a system dynamics simulation.

Zihan Li, Yuhang Wang, Yuanwang Shang, Yi Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zihan LiUncertainty Decision-Making Laboratory, Sichuan University, No. 24, South Section 1, 1st Ring Road, Chengdu, 610065, China.
Yuhang WangSichuan University Business School, No. 24, South Section 1, 1st Ring Road, Chengdu, 610065, China. w523731669@163.com.
Yuanwang ShangSichuan University Business School, No. 24, South Section 1, 1st Ring Road, Chengdu, 610065, China.
Yi LuInstitute for Disaster Management and Reconstruction, Sichuan University, No. 122, Section 1, Huanghe Middle Road, Chengdu, 610211, China.

Funding

the Major Program of the National Social Science Foundation of China No. 22&ZD142
6 · The paper itself

Abstract

In the early days of the urban pandemic, many cities had personal protective equipment (PPE) shortages, which adversely affected urban pandemic governance. Using the COVID-19 strategies employed in Wuhan as the pivotal case study, this study sought to determine effective strategies to optimize city PPE distribution. System dynamics modeling was employed to explore the influence of PPE allocation strategies on pandemic control measures. It was found that the most effective method for controlling a pandemic was to supply PPE in a specific order: medical staff, patients, and out-of-home citizens. Further, prioritizing universal PPE access over adhering to recommended replacement frequencies was found to be more effective in protecting public health. These findings offer vital insights for policy formulation and pandemic preparedness planning to reduce infection rates and fatalities.

Indexed as

COVID-19PandemicsPersonal Protective EquipmentChinaCitiesHumansSARS-CoV-2PPE allocationSEIR modelSystem dynamicsUrban pandemic

Identifiers

PMID39870675
PMCPMC11772760

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.