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Record W3002503158 · doi:10.1016/j.idm.2020.01.003

IDM editorial statement on the 2019-nCoV

2020· editorial· en· W3002503158 on OpenAlexaff
Yiming Shao

Bibliographic record

VenueInfectious Disease Modelling · 2020
Typeeditorial
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsYork University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakStatement (logic)GeographyVirologyMedicinePolitical scienceLawInternal medicineOutbreak

Abstract

fetched live from OpenAlex

Severe Acute Respiratory SyndromeIn December of 2019, 27 patients with viral pneumonia including 7 severe cases were reported in Wuhan, the capital city of Hubei province and one of the largest cities of China.By the morning of January 23, 2020, the infected cases have increased to 571 including 17 deaths, and spread to 25 of 31 mainland provinces and municipals and Hong Kong, Macau and Taiwan as well as to 7 other countries, including South Korea, Japan, Thailand, Singapore, Philippines, Mexico and the United States of America.A considerable progress has been achieved with respect to seventeen years ago, when the world had to face, completely unprepared, the "Severe Acute Respiratory Syndrome" (SARS) pandemics.This time, the scientists in China CDC networks identified a new strain of coronavirus and confirmed it as the pathogen of this new epidemic within a few weeks after the first case was noticed.The Chinese health authorities communicated the detail information of the epidemic with the public, the World Health Organization (WHO) and international community in a timely manner and shared the full genome sequence of the new virus with the global scientific community.Despite the significant progress being made, there are many issues remain to cope with, and substantial challenges have been posed to the significantly improved public health emergency response in China and globally.Given the fact of over 300 million people crossing mainland China's border each year and the estimated 3 billion person times travelling during the Chinese lunar new year (January 24th e 30th), how to control the epidemic becomes a major cause of concern.Nonetheless, there is more hope for the better control of this epidemic, since the virus is facing a much better prepared epidemic control forces both in China and globally.The experts of the WHO's emergency committee have not yet reached a consensus whether the spreading of the new coronavirus is a public health emergency of international concern, requiring a coordinated and integrated international response.As recognized by the same WHO, mathematical models, especially those timely, play a key role in informing evidence-based decisions by health decision-and policy-makers.The mathematical modelling community should be ready and make efforts to assist stakeholders in the decision-making processes.Efforts should be made to provide them with timely

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)0.003
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.060
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0120.010
Insufficient payload (model declined to judge)0.0600.042

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 head0.064
GPT teacher head0.370
Teacher spread0.306 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations21
Published2020
Admission routes1
Has abstractyes

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