Knowledge and misconceptions related to the Ebola Virus Disease among adults in the Democratic Republic of the Congo: The venomous snake under the table of prevention
Bibliographic record
Abstract
Objectives: On July 24, the Ministry of Health of the Democratic Republic of the Congo declared the end of the 2018 Ebola Virus Disease (EVD) outbreak in the Equateur Province. Conducted seven months after, this study aimed to examine knowledge and misconceptions related to EVD in a representative sample of affected communities in order to develop evidence-based prevention programs. Study design: Cross-sectional study with a two-stratified representative sample. Methods: A sample of 1,614 participants (50% of women) was recruited between March and April 2019 in the three affected health zones. Participants completed a questionnaire assessing knowledge, perception, practices and misconceptions related to EVD. Results: One-third of the 1,614 participants did not know that EVD is transmitted through bodily fluids of infected people. Only 39.85% and 45.99% were aware that EVD cannot be transmitted through air and mosquitoes. Only 44.93% declared a salty and hot bath cannot prevent EVD; and only 43.78% answered that spiritual or traditional healers cannot cure EVD. Results also indicated that although participants with high levels of education had more knowledge of EVD, they did not differ significantly from less educated ones for misconceptions. Hierarchical linear regression models showed interactions of sociodemographic characteristics that predicted EVD knowledge. Conclusions: The pervasive lack of knowledge, misconceptions and attitudes related to EVD constitute a major concern for prevention. Instead of basing awareness programs on the fear of EVD, health authorities, World Health Organization and NGOs should co-develop culturally sensitive and inclusive community evidence-based programs to educate the populations.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".