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Record W6920456190 · doi:10.60692/aqzes-mvz09

COVID-19 and Beyond: A Call for Action and Audacious Solidarity to All the Citizens and Nations, It Is Humanity's Fight

2020· article· en· W6920456190 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2020
Typearticle
Languageen
FieldMedicine
TopicLegal, Health, Environmental and COVID-19 Challenges
Canadian institutionsMcGill Genome CentreMcGill UniversityKootenay Association for Science & Technology
Fundersnot available
KeywordsSolidarityAlliancePandemicAction (physics)Collective actionGlobal healthDistancingCoronavirus disease 2019 (COVID-19)Call to action

Abstract

fetched live from OpenAlex

Background: SARS-CoV-2 belongs to a subgroup of coronaviruses rampant in bats for centuries. It has caused the COVID-19 pandemic. Most patients recover, but a minority of severe cases experience acute respiratory distress or an inflammatory storm devastating many organs that can lead to patient death. The spread of SARS-CoV-2 has been facilitated by the increasing intensity of air travel, urban congestion and human contact during the last half century. Until therapies and vaccines are available, tests for virus and exposure, confinement measures and physical distancing have helped curb the pandemic.Vision: The COVID-19 pandemic calls for safeguards and remediation measures through a systemic response. A myriad of self-organizing initiatives by scientists and citizens is developing an advanced collective intelligence response to the coronavirus crisis. Their integration forms Olympiads of Solidarity and Health. Their ability to optimize our response to COVID-19 could serve as a model to trigger a global metamorphosis of our societies with far-reaching consequences for attacking fundamental challenges facing humanity in the 21st century.Mission: For COVID-19 and these other challenges, there is no alternative but action. Meeting in Paris in 2003, we set out to "rethink research to understand life and improve health." We have now formed an international coalition of academia and industry ecosystems taking a systems medicine approach to understanding COVID-19 by thoroughly characterizing viruses, patients and populations during the pandemic, using openly shared tools. All results will be publicly available with no initial claims for intellectual property rights. This World Alliance for Health and Wellbeing will catalyze the creation of medical and health products such as diagnostic tests, drugs and vaccines that become common goods accessible to all, while seeking further alliances with civil society to bridge with socio-ecological and technological approaches that characterise urban systems, for a collective response to future health emergencies.Funding: This work was supported during its preparation phases by the State Key Laboratory of Medical Genomics, Overseas Expertise Introduction Project for Discipline Innovation (111 Project, B17029) to SJC, LH, CA; European Union grants CASyM (FP7-n°305033) to CA, RB, JR, DR, DS, JT, OW; eTRIKS (IMI-1-n°115446) to CA, RB, YG; PREPARE (FP7n°602525) to CA, PO, SV; and initial funds in support of the deep phenotyping clinical study from philanthropic donors, Gilead, Merck and Novartis to JG, JH, LH; the Ricerca Corrente Program by the Italian Ministry of Health to AC, CPr, GS, AU, VV; the National Megaprojects of China for Infectious Diseases (2017ZX10103009-001, 2018ZX10305409-001-005), Double Firstclass projects from the Ministry of Education to the National Research Center for Translational Medicine Shanghai to SJC; Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) to LJ. Conflict of Interest: Rudi Balling reports being a founder/shareholder of ITTM S.A. and Megeno S.A., outside the submitted work, he is co-inventor and holder of two issued patents; James Heath reports personal fees and other from PACT Pharma, outside the submitted work; Hiroaki Kitano reports grants from Minister of Health, Welfare, and Labor of Japanese Government, grants from Okinawa Prefecture Government, outside the submitted work; Doron Lancet reports personal fees from Weizmann Institute of Science and LifeMap Science Inc., outside the submitted work; Catherine Larue reports personal fees from Genfit, outside the submitted work; Peter Openshaw reports personal fees for consultancy work with Janssen, J&J and Sanofi, grants from MRC, European Union, NIHR Biomedical Research Centre, and a collaborative grant with GSK, outside the submitted work; Susanna Palkonen reports grants from Aimmune, Astra Zeneca, Boehringer Ingelheim, Chiesi, DBV Technologies, GSK, Leo Pharma, Novartis, Pfizer, Regeneron Pharmaceuticals, Sanofi Genzyme, outside the submitted work, is employed by the EFA who receives unrestricted grants from corporate entities as above, represents EFA in the following advisory groups of these entities: Astra Zeneca COPD Advisory Committee, GSK Health Advisory Board and Novartis European Patient Advisory Group, receives no personal gain, honoraria, when applicable expenses are payed to her organization, is in a voluntary function the Chair of the Patient Access Partnership PACT who receives unrestricted grants from EFPIA, MedTech Europe, EUCOPE and Medicines for Europe for core operations, and project grants from individual companies, outside the submitted work; Christophe Pison reports personal fees and non-financial support from AstraZeneca, Boehringer Ingelheim, GSK, Novartis, outside the submitted work; Mihael Polymeropulos reports other from Vanda Pharmaceuticals, outside the submitted work; Ulrike Protzer reports grants from VIR Biotechnology, grants and non-financial support from Roche, grants from Alios-J&J, personal fees from Abbvie, Arbutus, Dicerna, Gilead, GSK, MSD, Vaccitech, personal fees from University Hospital Cologne, grants and other from SCG Cell Therapy, outside the submitted work; Peter Sterk reports other from Breathomix BV, outside the submitted work; Giulio Superti-Furga reports being a shareholder of Proxygen GmbH, Haplogen GmbH and Allcyte GmbH, outside the submitted work; Vincenzo Valentini reports personal fees from Merck Serono, Betaglue, outside the submitted work; Sylvie van der Werf reports other from Sanofi Pasteur, outside the submitted work; she is the holder of four issued patents. The other authors have declared no conflict of interest.

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 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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.092
GPT teacher head0.299
Teacher spread0.207 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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".

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Citations0
Published2020
Admission routes1
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