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Record W3094008764 · doi:10.9745/ghsp-d-20-00272

Prevention of COVID-19 in Internally Displaced Persons Camps in War-Torn North Kivu, Democratic Republic of the Congo: A Mixed-Methods Study

2020· article· en· W3094008764 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Health Science and Practice · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsInternally displaced personFocus groupRefugeeMedicineDemographyEnvironmental healthGeographyPopulationSociology

Abstract

fetched live from OpenAlex

<h3>ABSTRACT</h3> <h3>Background:</h3> The coronavirus disease (COVID-19) pandemic poses a grave threat to refugees and internally displaced persons (IDPs). We examined knowledge, attitudes, and practices with respect to COVID-19 prevention among IDPs in war-torn Eastern Democratic Republic of the Congo (DRC). <h3>Methods:</h3> Mixed-methods study with qualitative (focus group discussions, [FGDs]) and quantitative (52-item survey questionnaire) data collection and synthesis. <h3>Results:</h3> FGDs (N=23) and survey questionnaires (N=164 IDPs; N=143 comparison group) were conducted in May 2020. FGD participants provided narratives of violence that they had fled. IDPs were statistically more likely to have larger household size, experience more extreme poverty, have lower educational attainment, and have less access to information through media and internet versus the comparison group (<i>P</i>&lt;.05 for the comparison group). IDPs had a high level of awareness (99%) and fear (98%) of COVID-19, but lower specific knowledge (15% sufficient knowledge versus 30% among the comparison group, <i>P</i>&lt;.0001), a difference which remained significant in a multivariable model adjusting for confounding. IDPs faced major barriers to implementing COVID-19 prevention measures. Physical distancing was impossible for IDPs in crowded shelters, and 70% reported coming in close contact with someone other than a family member within the past 24 hours (versus 56% of the comparison group, <i>P</i>=.014). Frequent movements in and out of the camp for subsistence left IDPs vulnerable to the introduction of COVID-19: 61% left the camp on a daily basis and 65% had received a visitor in the past month. Despite acceptance of hand hygiene for prevention, 92% lacked soap (versus 65% of the comparison group, <i>P</i>&lt;.0001). IDPs’ desire for peace and to return to their native homes, where COVID-19 precautions could be feasibly implemented, overshadowed their perceived benefits of measures such as a COVID-19 vaccine. <h3>Conclusions:</h3> These findings provide empiric evidence supporting the vulnerability of IDPs to COVID-19 and call for action to protect neglected displaced populations.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.082
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.497
Teacher spread0.431 · 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