MétaCan
Menu
Back to cohort

Prevalence and risk factors of post-traumatic stress disorder and psychological distress symptoms in populations affected by Ebola in DR Congo before and during the COVID-19 pandemic

2025· article· en· W4407365910 on OpenAlexafffund
Rose Darly Dalexis, Seyed Mohammad Mahdi Moshirian Farahi, Jacqueline Bukaka, Farid Mansoub Bekarkhanechi, Oléa Balayulu-Makila, Noble Luyeye, Jude Mary Cénat

Bibliographic record

VenueJournal of Psychosomatic Research · 2025
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health ResearchSocial Sciences and Humanities Research Council of CanadaInternational Development Research Centre
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Traumatic stressPsychological distress2019-20 coronavirus outbreakDistressSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicinePsychiatryClinical psychologyMental healthVirologyInternal medicineDiseaseOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Ebola virus disease (May 19–September 16, 2020) and COVID-19 simultaneously affected the province of Equateur in DR Congo (DRC). To date, no longitudinal studies have explored symptoms of post-traumatic stress disorder (PTSD) and psychological distress (PD) related to COVID-19 or Ebola in DRC. A representative sample of 1669 participants aged ≥18 was recruited in March–April 2019 (Time 1) and August–September 2020 (Time 2). Questionnaires assessed PTSD (PCL-5) and PD ( K −10) symptoms, social support, Ebola and COVID-19 exposure and related stigmatization. Prevalence of PTSD (58.24 % in T1 to 43.74% at T2, x 2 (1) = 5.83, p < .001) and PD symptoms (49.44 % in T1 to 28.94 % at T2, x 2 (1) = 5.83, p < .001) decreased from the Ebola outbreak to the COVID-19 pandemic. Populations living in rural areas consistently reported higher prevalence of PTSD and PD symptoms. Generalized estimating equation (GEE) models showed that stigmatization related to Ebola is the most important predictor of both PTSD ( B = 0.90, p < .0001) and PD ( B = 1.22, p < .001) symptoms, followed by exposure to Ebola ( B = 0.41, p < .001 and B = 0.56, p < .001). COVID-19 related stigmatization only predicted PTSD symptoms ( B = 0.21, p = .009). GEE models also confirmed that PTSD ( B = −0.78, p < .001) and PD ( B = −1.25, p < .001) decreased from Ebola outbreak to the COVID-19 pandemic. A significant interaction was found between Ebola stigmatization and time ( B = -0.40, p = .021) for PTSD, and between exposure to Ebola and time ( B = -0.36, p = .026) for PD. This study confirms that Ebola related stigmatization is the most important predictor of mental health problems. Community-based strategies can address, reduce, and eliminate this issue. • PTSD and psychological distress decreased from Ebola outbreak to COVID-19 pandemic. • Rural areas consistently reported higher PTSD and psychological distress symptoms. • Stigma related to Ebola is the most major predictor of PTSD and psychological distress. • Stigmatization related to COVID-19 was only associated with PTSD symptoms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.104
GPT teacher head0.495
Teacher spread0.390 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Psychosomatic ResearchSame topicCOVID-19 and Mental HealthFrench-language works237,207