Severe Anxiety and PTSD Symptoms Among Ebola Virus Disease Survivors and Healthcare Workers in the Context of the COVID-19 Pandemic in Eastern DR Congo
Bibliographic record
Abstract
Ebola virus disease (EVD) survivors and healthcare workers (HCWs) face stress, fear, and stigma during the COVID-19 pandemic that can induce severe symptoms of anxiety and post-traumatic stress disorder (PTSD). We examined the prevalence and factors related to severe PTSD and anxiety symptoms, using a representative sample of survivors of the 2018–2020 EVD epidemic in DR Congo in comparison HCWs. Five hundred sixty-three participants (55.25% women, 309 survivors, 202 HCWs, and 52 HCWs and survivors) completed questionnaires assessing anxiety, PTSD, exposure to EVD and COVID-19, stigmatization related to EVD and COVID-19, interpersonal traumas, social support. During the COVID-19 pandemic, 45.6 and 75.0% of survivors and HCWs reported severe symptoms of PTSD and anxiety. Significant difference was observed among the three groups for both PTSD (53.7% survivors, 37.1% HCWs, and 30.8% HCWs-survivors, χ 2 = 18.67, p < 0.0001) and anxiety (88.3% survivors, 56.9% HCWs, and 65.4% HCWs- survivors, χ 2 = 67.03, p < 0.0001). Comorbidity of severe PTSD and anxiety symptoms was 42.3% between the three groups. Results revealed that exposure to EVD ( b = 0.53; p = 0.001; b = 0.12; p = 0.042), EVD-related stigmatization ( b = 0.14; p = 0.018; b = 0.07; p = 0.006), COVID-19-related stigmatization ( b = 0.22; p < 0.0001; b = 0.08; p = 0.0001) and social support ( b = −0.30; p < 0.0001; b = −0.14; p < 0.0001) predicted severe PTSD and anxiety symptoms. The last models explained 63.8 and 56.4% of the variance of PTSD and anxiety. Symptoms of PTSD and anxiety are common among EVD survivors and HCWs during the COVID-19 pandemic. Culturally-sensitive programs that address stigma are necessary to mitigate the cumulative effects of EVD and the COVID-19 pandemic on EVD survivors and HCWs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".