Evidence map›Paper›PMID 42141412›Full record

ArticleBMC public health2026

The digital pulse of disaster: tracking public health needs via X during 2023 Türkiye earthquakes.

M Fevzi Esen, Fatma Kantaş Yılmaz, Saadet Karakuş

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 authors.

M Fevzi EsenDepartment of Health Information Systems, University of Health Sciences, İstanbul, Türkiye. fevzi.esen@sbu.edu.tr.ORCID 0000-0001-7823-0883
Fatma Kantaş YılmazDepartment of Health Management, University of Health Sciences, İstanbul, Türkiye.ORCID 0000-0003-0512-382X
Saadet KarakuşDepartment of Health Management, University of Health Sciences, İstanbul, Türkiye.ORCID 0000-0002-6326-5941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media plays an important role in disseminating information and identifying real-time needs during disasters. Its importance was shown on February 6, 2023, when Türkiye was struck by two destructive earthquakes. This resulted in tens of thousands of fatalities and economic devastation. In the early aftermath, social media was utilized as an important instrument for public coordination, information dissemination and social mobilization.

methodsThe study analyzed 697,313 tweets shared between February 6 and 14, 2023. Data were acquired via the X API v2 and processed to assess the engagement metrics of digitally expressed disaster needs using Python (version 3.12.7). Named Entity Recognition approach was applied to a combined rescue-request corpus to extract and geocode spatial data for heatmap visualization.

resultsMost frequent hashtags, types of requests, and patterns of interaction were investigated to examine how individuals communicated and expressed their needs during the earthquake. Findings showed that X contained time-sensitive, publicly generated signals related to rescue appeals, shelter needs, hygiene concerns and humanitarian coordination. During the first 12 hours of the earthquake, communication was primarily characterized by urgent requests for emergency rescue and heavy machinery. By the second day, shelter-related posts became more prominent with blanket and tent related requests. After the fourth day, there was a consistent rise in the posts about hygiene items and mobile toilets. The requests reached a peak between days five and seven.

conclusionThe study highlights the potential value of social media data as a supplementary source for understanding publicly expressed needs during disaster response. X posts reflected a temporary shift from urgent rescue appeals to shelter, hygiene, and recovery-related concerns. However, because this study was descriptive and did not assess post accuracy, operational impact, or predictive performance, the findings should be interpreted as digital indicators of public concern rather than direct evidence of response effectiveness.

Indexed as

DisastersEarthquakesNeeds AssessmentPublic HealthSocial MediaDigital MediaHumansJapanMedia ExposureCitizen generated dataCrisis communicationDigital health communicationKahramanmaraş earthquakesSocial media and disaster response

Identifiers

PMID42141412
PMCPMC13348683

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.