Stigmatization of Ebola virus disease survivors in 2022: A cross-sectional study of survivors in Sierra Leone
Bibliographic record
Abstract
BACKGROUND: Evidence has demonstrated a high proportion of Ebola virus disease (EVD) survivors experienced stigma due to the disease. This study sought to understand the longer-term effects of stigma encountered by survivors of the 2014-2016 EVD epidemic living in Sierra Leone. METHODS: This was a cross-sectional study of 595 EVD survivors and 403 close contacts (n = 998) from Sierra Leone. Assessments were conducted using a three-part survey between November 2021 to March 2022. We explored the socio-demographic factors associated with stigma experienced by EVD survivors. FINDINGS: 50·6 % (n = 301) of EVD survivors reported that they continued to experience at least one aspect of stigma. Females were disproportionately affected by stigma, with 45·2 % of females reporting isolation from friends and family compared to 33·9 % of men (p = 0·005). Multivariable logistic regression models revealed those aged 40-44, living rurally, and reporting an acute infection longer than seven days was associated with EVD-related stigma at the time of survey. INTERPRETATION: This study demonstrates stigma is still prevalent among people who survived EVD in 2022. It also identified socio-demographic factors associated with stigma that can be used for targeting interventions. Importantly, this highlights the continued need for EVD survivors to access mental healthcare and social support systems well after disease recovery. FUNDING: This study was funded by the Canadian Institutes for Health Research (Grant no. PJT-175098. JK is funded by a Tier 2 Canada Research Chair in the Molecular Pathogenesis of Emerging and Re-Emerging Viruses. SS is funded by a Tier 2 Canada Research Chair in Program Science and Global Public Health.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".