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Record W4400299160 · doi:10.1016/j.onehlt.2024.100849

Intersecting realities: Exploring the nexus between armed conflicts in eastern Democratic Republic of the Congo and Global Health

2024· article· en· W4400299160 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOne Health · 2024
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsUniversité de Montréal
FundersUniversité de Montréal
KeywordsGlobal healthSafeguardingHealth carePublic healthPolitical scienceEconomic growthEnvironmental planningEnvironmental resource managementBusinessGeographyMedicine

Abstract

fetched live from OpenAlex

The eastern Democratic Republic of the Congo (DRC) grapples with entrenched armed conflicts, creating a complex humanitarian crisis with far-reaching implications for global health. This paper explores the intersection between armed conflict in the region and the risks of zoonotic disease transmission, shedding light on interconnected challenges and proposing integrated strategies for mitigation. Armed conflict disrupts healthcare systems, affecting healthcare facilities (HCF) and healthcare workers (HCW), destroying millions of lives, impoverishing communities, and weakening surveillance systems. This deleterious situation is a bottleneck to achieving the Sustainable Development Goals (SDGs), especially Universal Health Coverage (UHC), as it prevents millions of Congolese from accessing healthcare services. The direct impact of armed insecurity undermines Global Health Security (GHS) by fostering natural habitat degradation and biodiversity loss, exacerbating vulnerabilities to zoonotic disease outbreaks. Forced population displacement and encroachment on natural habitats amplify human-wildlife interaction, facilitating zoonotic disease spillover and increasing the risk of regional and global spread. Biodiversity loss and poaching further compound these challenges, underscoring the need for holistic approaches that address both conservation and public health concerns. Mitigating zoonotic disease risks requires strengthening surveillance systems, promoting community engagement, and integrating conservation efforts with conflict resolution initiatives. By adopting a comprehensive approach, including the incorporation of One Health considerations in all peace-seeking and humanitarian efforts, stakeholders can enhance Global Health Security, scale up UHC, and promote sustainable development in conflict-affected regions. Creativity and strategic foresight are essential to safeguarding the well-being of human, livestock, plant, and wildlife populations in the Eastern DRC

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.119
GPT teacher head0.375
Teacher spread0.257 · 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