Evidence map›Paper›PMID 41613427›Full record

ArticleFundamental research2025

Study on the spreading amplification effect of compound disaster rumors involving multiple public safety events.

Zilin Xie, Meng Lan, Tao Xu, Yufeng Pan, Jialin Wu, Yongqiang Sun, Wenguo Weng

Abstract read
In one paragraph

Article in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Zilin XieSchool of Safety Science, Tsinghua University, Beijing 100084, China.
Meng LanSchool of Safety Science, Tsinghua University, Beijing 100084, China.
Tao XuSchool of New Media, Peking University, Beijing 100871, China.
Yufeng PanTencent Technology (Beijing) Company, Beijing 100080, China.
Jialin WuSchool of Safety Science, Tsinghua University, Beijing 100084, China.
Yongqiang SunSchool of Information Management, Wuhan University, Wuhan 430072, China.
Wenguo WengSchool of Safety Science, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A compound disaster rumor is a special type of rumor that involves multiple public safety events. Its pattern of spread is distinct from that of a general disaster rumor, which involves one public safety event. This work examines and verifies the amplification effect of the spread of compound disaster rumors (relative to general disaster rumors). A new rumor spread model based on infectious disease dynamics is proposed for compound disaster rumors involving two simultaneously occurring public safety events. The new model considers a special group of people, termed "double-hazard sensitive ignorants." Taking this group as the initial crowd, it adds a new spread chain to existing rumor spread models. This modeling method successfully captures the amplification effect of the spread of compound disaster rumors involving two public safety events. A real case is selected for empirical analysis: the spread of a compound disaster rumor in a double-hazard scenario, consisting of an earthquake and the pandemic, in Sichuan, China in 2022. The results confirm that the spread of a pandemic-related natural disaster compound rumor has a higher peak than that of a general disaster rumor. The new model is applied in this real scenario and captures the amplification effect of the spread of compound rumors. Our study sheds light on the spreading pattern of compound disaster rumors, thereby providing guidance and assistance for future disaster rumor management.

Indexed as

Amplification effectCompound disaster rumorDisaster rumor managementMulti-hazard scenariosRumor spreading

Identifiers

PMID41613427
PMCPMC12848127

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.