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Co-circulation of monkeypox virus subclades Ia and Ib in Kinshasa Province, Democratic Republic of the Congo, July to August 2024

2024· article· en· W4402685010 on OpenAlexaff
Tony Wawina-Bokalanga, Prince Akil-Bandali, Eddy Kinganda-Lusamaki, Emmanuel Lokilo, Daan Jansen, Adrienne Amuri-Aziza, Jean-Claude Makangara-Cigolo, Elisabeth Pukuta-Simbu, Rilia Ola-Mpumbe, Mamito Muyembe, Cris Kacita, Princesse Paku-Tshambu, Pedro HLF Dantas, Olivier Tshiani-Mbaya, Gradi Luakanda, Antoine Nkuba-Ndaye, Meris Matondo, Emmanuel Hasivirwe Vakaniaki, Sofonías K. Tessema, Nicaise Ndembi, Áine O’Toole, Tessa de Block, Christian Ngandu, Nicole A. Hoff, Nicola Low, Lorenzo Subissi, Sydney Merritt, Jean-Jacques Muyembe-Tamfum, Laurens Liesenborghs, Martine Peeters, Éric Delaporte, Jason Kindrachuk, Anne W. Rimoin, Steve Ahuka‐Mundeke, Andrew Rambaut, Dieudonné Mwamba, Koen Vercauteren, Placide Mbala‐Kingebeni

Bibliographic record

VenueEurosurveillance · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsUniversity of Manitoba
FundersNational Institute of Allergy and Infectious DiseasesWellcome TrustWorld Health Organization
KeywordsMonkeypoxCladeOutbreakGeographyDemocracyPhylogenetic treeVirusVirologyBiologyPolitical scienceGeneGenetics

Abstract

fetched live from OpenAlex

Between January and August 2024, mpox cases have been reported in nearly all provinces of the Democratic Republic of the Congo (DRC). Monkeypox virus genome sequences were obtained from 11 mpox cases' samples, collected in July-August 2024 in several health zones of Kinshasa. Characterisation of the sequences showed subclades Ia and Ib co-circulating in the Limete health zone, while phylogenetic analyses suggested multiple introductions of the two subclades in Kinshasa. This illustrates the growing complexity of Clade I mpox outbreaks in 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.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.085
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.281
Teacher spread0.266 · 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".

Quick stats

Citations43
Published2024
Admission routes1
Has abstractyes

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