Evidence map›Paper›PMID 40902584›Full record

ArticleJournal of medical Internet research2025

Analyzing Health Care Professionals' Resilience and Emotional Responses to COVID-19 via Twitter: Retrospective Cohort and Matched Comparison Group Study.

Noa Tal, Idan-Chaim Cohen, Aviad Elyashar, Nir Grinberg, Rami Puzis, Odeya Cohen

Abstract readComparative Study
In one paragraph

Article in Journal of medical Internet research, 2025. 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

The trial behind it

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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

6 authors.

Noa TalDepartment of Software and Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID http://orcid.org/0009-0009-6710-1774
Idan-Chaim CohenDepartment of Nursing, Recanati School of Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, David Ben-Gurion Blvd 1, Beer Sheva, 8410501, Israel, 972 086477681.ORCID http://orcid.org/0000-0002-5110-1528
Aviad ElyasharDepartment of Computer Science, Shamoon College of Engineering, Beer Sheva, Israel.ORCID http://orcid.org/0000-0002-0918-0146
Nir GrinbergDepartment of Software and Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID http://orcid.org/0000-0002-1277-894X
Rami Puzis *Department of Software and Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID http://orcid.org/0000-0002-7229-3899
Odeya Cohen *Department of Nursing, Recanati School of Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, David Ben-Gurion Blvd 1, Beer Sheva, 8410501, Israel, 972 086477681.ORCID http://orcid.org/0000-0002-2427-6381

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The functioning of health care systems in emergencies relies on health care professionals (HCPs). During the COVID-19 pandemic, HCPs faced significant emotional challenges, which affected their productivity. Revealing HCPs' emotional responses may enable the development of effective support strategies for future crises. This study examines the emotional response of HCPs and compares it with that of non-HCPs across distinct pandemic phases. Objective: The study aimed to explore and compare the emotional response of HCPs and non-HCPs during the COVID-19 pandemic, to investigate how emotional responses are linked to the pandemic's evolution in the United States, and to assess whether the emotions experienced by HCPs can serve as an early indicator of pandemic progression. Methods: In a retrospective cohort with a matched comparison group study, we analyzed the emotions of 1450 HCPs and 1387 non-HCPs using 8,723,404 tweets collected from January 2019 to May 2022. Using Twitter profile data and a machine learning classifier, we identified HCPs and matched non-HCPs on the basis of demographics (gender, age, and ethnicity). Emotional responses (fear, sadness, joy, disgust, surprise, and anger) were examined across 5 pandemic phases (prepandemic and 4 pandemic stages) using effect sizes. We used Spearman correlations to examine the associations between HCPs' emotions and pandemic progression. Results: HCPs displayed greater sadness (Cohen d=0.23) in the early pandemic phase and greater fear (Cohen d=0.73-0.10) across the 3 phases than non-HCPs. HCPs exhibited lower levels of anger (Cohen d=-0.19 to -0.13), surprise (Cohen d=-0.33 to -0.15), and disgust (Cohen d=-0.20 to -0.18) than non-HCPs. Joy prevalence was greater among HCPs starting in the second pandemic phase (Cohen d=0.13-0.16). Most emotions returned to prepandemic levels, except sadness, which remained elevated for HCPs. Emotional trends were significantly correlated with pandemic progression (r=0.205-0.480; P<.05). Conclusions: HCPs experienced distinct emotional responses and resilience capacities compared with non-HCPs during the COVID-19 pandemic. These findings underscore the need for targeted support strategies for future emergencies. The study suggests that HCPs' social media discussions can be complementary tools for monitoring well-being and offer preliminary signals of emerging public health concerns.

Indexed as

COVID-19EmotionsHealth PersonnelResilience, PsychologicalSocial MediaAdultFemaleHumansMachine LearningMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2United StatesCOVID-19emotion analysishealth care professionalsmachine learningresiliencesocial mediaTwitter

Identifiers

PMID40902584
PMCPMC12408095

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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.