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Record W4387443832 · doi:10.2139/ssrn.4593226

Phased Multi-Country Seroepidemiology Study of Over 20000 Individuals In West Africa Reveals the Dynamics of SARS-CoV-2 Exposure Driven by Delta, Omicron and Omicron Waves

2023· preprint· en· W4387443832 on OpenAlexaff
Aniefiok John Udoakang, Daniel Oduro‐Mensah, Gloria Amegatcher, Onikepe Folarin, Isah Abubakar Aliyu, Francis Dzabeng, Alphonse Ouédraogo, Reuben Ayivor-Djanie, Jones Gyamfi, Armel Moumouni Sanou, Kesego Tapela, Irene Amoakoh Owusu, Kyerewaa Akuamoah Boateng, Taiwo Gboluwaga Amole, Johnson Okolie, Baba Mayaki Musa, Jamilu Abubakar Bala, Kazeem Akano, Ajibade Olufunke Olayemi, Olivia Achonduh-Atijegbe, Ajayi Nnennaya, Okoro Sylvanus Ihere, Benedict Ndubueze Azuogu, Okechukwu Ukpabi, Kingsley Chiedozie Ojide, Augustine Abu, Moyosoore Osoba, Nicholas Oyejide, Evans Agyapong Owusu, Bismark Adade, James Ekow Sampah, George Agyei, Benjamin Boateng, William Oduro-Obeng, Janet Ogoe-Anderson, Nicholas Aloba Amekpordi, David Amoah Afrifa, Bismark Akwasi Opoku, Ayodeji Oluwafemi Oladele, Chukwuyem Abejegah, Akinola Nelson Adedosu, Liasu Adeagbo Ahmed, Samuel Sindié Sermé, Maurice Ouattara, Denise Hien, Issa Nébié, Rachael Obeng, Precious Opurum, Fatima Oyawoye, Dzidzor Yawa Ayeke, Michael F. Ofori, Achille Sindimbasba Nikièma, Bazoumana B. D. Sow, Léa Paré-Toé, Charles Guissou, Bismark Minnah, Gifty Amponsah, Sylvester Dassah, Sharif Alhassan Abdullahi, Nura Garba, Khadija Muhammad Bala, Rufai Umar Zubair, Mahfuz Muhammad Haddad, Lucas Amenga–Etego, Dominic S. Y. Amuzu, Collins M. Morang’a, Kwabena A. N. Sarpong, Patrick Williams Narkwa, William Ampofo, Franklin Asiedu‐Bekoe, Patrick Kuma‐Aboagye, Kwabena Obeng Duedu, James Abugri, Mohamed Mutocheluh, Gideon Kofi Helegbe, Paul Armah Aryee, James Duah, Peter Yeboah, Yaw Bediako, Abdoulaye Diabaté, Hadiza Galadanci, Sodiomon B. Sirima, Christian Happi, Gordon A. Awandare, Peter K. Quashie

Bibliographic record

VenueSSRN Electronic Journal · 2023
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsSt. Peter's Hospital
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)DeltaSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyDynamics (music)Environmental healthMedicinePhysicsInternal medicineAcousticsAstronomy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.058
GPT teacher head0.369
Teacher spread0.311 · 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

Citations0
Published2023
Admission routes1
Has abstractno

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