Prevalence and Factors Related to Post-traumatic Stress Disorder and Depression Symptoms Among Children and Adolescents Survivors and Orphans of Ebola Virus Disease in Democratic Republic of the Congo Eastern Regions During the COVID-19 Pandemic
Bibliographic record
Abstract
PURPOSE: Although previous studies have shown a high prevalence of mental health problems among adult Ebola virus disease survivors, no studies have yet been conducted on mental health problems among children and adolescents in affected regions. Consequently, the current study aimed to examine the prevalence and factors associated with depression and post-traumatic stress disorder (PTSD) among children and adolescent survivors and orphans by utilizing a cross-sectional survey following the 2018-2020 epidemic in Eastern Democratic Republic of the Congo. METHODS: A total of 146 survivors (mean age = 13.62, standard deviation [SD] = 2.50, 49.32% female), 233 orphans (mean age = 13.18, SD = 2.96, 53.32% female), and 34 orphan-survivor participants (mean age = 13.39, SD = 2.87, 44.12% female) were recruited. Participants completed measures assessing depression and PTSD symptoms, traumatic experiences, and stigma related to Ebola and COVID-19. RESULTS: (2) = 168.85; p < .001). Experience of traumatic events, Ebola stigmatization, and COVID-19 stigmatization positively predicted depression and PTSD symptoms. The regression models explained 61%-72% of the variance of depression and PTSD. DISCUSSION: The results reveal that the Ebola virus disease and its associated grief severely jeopardize the mental health of children and adolescents in affected regions. Despite the relative paucity of resources, intervention programs may be helpful to minimize associated stigma and promote psychological support.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".