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Record W2981842013 · doi:10.1093/ofid/ofz359.027

842. Social Resistance Fuels Ebola Transmission in the Eastern Democratic Republic of Congo

2019· article· en· W2981842013 on OpenAlexaff
Qaasim Mian, Jack Underschultz, Michael Hawkes

Bibliographic record

VenueOpen Forum Infectious Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsResistance (ecology)Focus groupEbola virusAggressionDemocracyMedicineCriminologyHostilityPoliticsEbola Hemorrhagic FeverFamily medicinePolitical sciencePsychologyLawPsychiatryDiseaseSociologyClinical psychologyPathology

Abstract

fetched live from OpenAlex

Abstract Background The second largest Ebola epidemic in history is currently raging in Eastern Democratic Republic of Congo (DRC). Stubbornly persistent Ebola transmission has been associated with social resistance, ranging from passive noncompliance to overt acts of aggression toward Ebola response teams. Methods We explored community resistance using focus group discussions and assessed the prevalence of resistant views using standardized questionnaires. Results Despite being generally cooperative and appreciative of the foreign-led Ebola response, focus group participants provided eyewitness accounts of aggressive resistance to control efforts, consistent with recent media reports. Mistrust of Ebola response teams was fueled by perceived inadequacies of the response effort (“herd medicine”), suspicion of mercenary motives, and violation of cultural burial mores (“makeshift plastic morgue”). Survey questionnaires found that the majority of respondents had compliant attitudes with respect to Ebola control. Nonetheless, 78/630 (12%) respondents believed that Ebola was fabricated and did not exist in the area, 482/630 (72%) were dissatisfied with or mistrustful of the Ebola response, 60/630 (9%) sympathized with perpetrators of overt hostility, and 102/630 (15%) expressed noncompliant intentions in the case of Ebola illness or death in a family member, including hiding from the health authorities, touching the body, or refusing an official burial team. Denial of the biomedical discourse and dissatisfaction/mistrust of the Ebola response were statistically significantly associated with indicators of social resistance. Conclusion We concluded that social resistance to Ebola control efforts was prevalent among focus group and survey participants. Mistrust, with deep political and historical roots in this area besieged by chronic violence and neglected by the outside world, may fuel social resistance. Resistant attitudes may be refractory to short-lived community engagement efforts targeting the epidemic but not the broader humanitarian crisis in Eastern DRC. Disclosures All Authors: No reported Disclosures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.327
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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