Literature DB >> 32132744

Data sharing for novel coronavirus (COVID-19).

Vasee Moorthy1, Ana Maria Henao Restrepo2, Marie-Pierre Preziosi3, Soumya Swaminathan1.   

Abstract

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Year:  2020        PMID: 32132744      PMCID: PMC7047033          DOI: 10.2471/BLT.20.251561

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


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Rapid data sharing is the basis for public health action. The report from the 30 January 2020 International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (COVID-19) stressed the importance of the continued sharing of full data with the World Health Organization (WHO). The information disseminated through peer-reviewed journals and accompanying online data sets is vital for decision-makers.– For example, the release of full viral genome sequences through a public access platform and the polymerase chain reaction assay protocols that were developed as a result made it possible to accurately diagnose infections early in the current emergency. Deficiencies in data-sharing mechanisms – highlighted during the 2013–2016 Ebola virus disease outbreak in west Africa – brought the question of data access to the forefront of the global health agenda. In September 2015, agreement was reached on the need for open sharing of data and results, especially in public health emergencies. Subsequently, the International Committee of Medical Journal Editors confirmed that pre-publication dissemination of information critical to public health will not prejudice journal publication in the context of health emergencies declared by WHO. Furthermore the committee stated that information critical for public health is to be shared with WHO before publication – a commitment echoed by several leading journals in the context of the COVID-19 response. Efforts for expedited data and results reporting should not be limited to clinical trials, but should include observational studies, operational research, routine surveillance and information on the virus and its genetic sequences, as well as the monitoring of disease control programmes. To improve timely access to data in the context of the COVID-19 emergency the Bulletin of the World Health Organization will implement an “COVID-19 Open” data sharing and reporting protocol, which will apply during the current COVID-19 emergency. On submission to the Bulletin, all research manuscripts relevant to the coronavirus emergency will be assigned a digital object identifier and posted online in the “COVID-19 Open” collection within 24 hours while undergoing peer review. The data in these papers will thus be attributed to the authors while being freely available for unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited as indicated by the Creative Commons Attribution 3.0 Intergovernmental Organizations license (CC BY IGO 3.0). Should a paper be accepted by the Bulletin following peer review, this open access review period will be reported in the final publication. If a paper does not meet the journal’s requirements after peer review, authors will be free to seek publication elsewhere. If the authors of any paper posted with the Bulletin in this context are unable to obtain acceptance with a suitable journal, WHO undertakes to publish these papers in its institutional repository as citable working papers, independently of the Bulletin. The choice of a pre-print platform remains the sole discretion of the author. This early access to research manuscripts at WHO builds on examples of other rapid information access platforms such as PROMED and F1000Research., Given the many unanswered questions on the reservoir, transmission, consequences and manifestations of COVID-19 infection and associated disease, our goal is to encourage all researchers to share their data as quickly and widely as possible. With this protocol for immediate online posting, we are providing another means to achieve immediate global access to relevant data. By submitting their studies to “COVID-19 Open,” researchers can share their data while meeting their need to retain authorship, document precedence and facilitate international scientific cooperation in the response to this emergency.
  3 in total

1.  Data sharing in public health emergencies: a call to researchers.

Authors:  Christopher Dye; Kidist Bartolomeos; Vasee Moorthy; Marie Paule Kieny
Journal:  Bull World Health Organ       Date:  2016-03-01       Impact factor: 9.408

Review 2.  Developing Global Norms for Sharing Data and Results during Public Health Emergencies.

Authors:  Kayvon Modjarrad; Vasee S Moorthy; Piers Millett; Pierre-Stéphane Gsell; Cathy Roth; Marie-Paule Kieny
Journal:  PLoS Med       Date:  2016-01-05       Impact factor: 11.069

3.  Providing incentives to share data early in health emergencies: the role of journal editors.

Authors:  Christopher J M Whitty; Trevor Mundel; Jeremy Farrar; David L Heymann; Sally C Davies; Mark J Walport
Journal:  Lancet       Date:  2015-11-07       Impact factor: 79.321

  3 in total
  55 in total

1.  A comprehensive hospital agile preparedness (CHAPs) tool for pandemic preparedness, based on the COVID-19 experience.

Authors:  Ini Adelaja; Meelad Sayma; Henry Walton; Greta McLachlan; James de Boisanger; Sam Bartlett-Pestell; Emma Roche; Vanita Gandhi; Gavin J Wilson; Zara Brookes; Chee Yeen Fung; Heather Macfarlane; Annakan Navaratnam; Christopher James; Peter Scolding; Hurley Sara
Journal:  Future Healthc J       Date:  2020-06

2.  ICU Resource Limitations During Peak Seasonal Influenza: Results of a 2018 National Feasibility Study.

Authors:  Christianne Joy Lane; Manas Bhatnagar; Karen Lutrick; Ryan C Maves; Debra Weiner; Daisy Rios Olvera; Timothy M Uyeki; J Perren Cobb; Joan C Brown
Journal:  Crit Care Explor       Date:  2022-01-05

3.  Clinical Data Extraction During Public Health Emergencies: A Blockchain Technology Assessment.

Authors:  Joan Brown; Manas Bhatnagar; Hugh Gordon; Karen Lutrick; Jared Goodner; James Blum; Raquel Bartz; Daniel Uslan; Ernesto David-DiMarino; Alfred Sorbello; Gregory Jackson; Jeremy Walsh; Lauren Neal; Marek Cyran; Henry Francis; J Perren Cobb
Journal:  Biomed Instrum Technol       Date:  2021-07-01

4.  An Electronic Data Capture Tool for Data Collection During Public Health Emergencies: Development and Usability Study.

Authors:  Joan Brown; Manas Bhatnagar; Hugh Gordon; Jared Goodner; J Perren Cobb; Karen Lutrick
Journal:  JMIR Hum Factors       Date:  2022-06-09

5.  Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data.

Authors:  Priya Ramaswamy; Jen J Gong; Sameh N Saleh; Samuel A McDonald; Seth Blumberg; Richard J Medford; Xinran Liu
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

Review 6.  Subtypes of Preeclampsia: Recognition and Determining Clinical Usefulness.

Authors:  James M Roberts; Janet W Rich-Edwards; Thomas F McElrath; Lana Garmire; Leslie Myatt
Journal:  Hypertension       Date:  2021-03-29       Impact factor: 10.190

7.  The governance of personal data for COVID-19 response: perspective from the Access to COVID-19 Tools Accelerator.

Authors:  Ciara Staunton; Emma Hannay; Oomen John; Michael Johnson; Rigveda Kadam; Rangarajan Sampath
Journal:  BMJ Glob Health       Date:  2021-05

8.  Federated learning for predicting clinical outcomes in patients with COVID-19.

Authors:  Ittai Dayan; Holger R Roth; Aoxiao Zhong; Fiona J Gilbert; Mona G Flores; Quanzheng Li; Ahmed Harouni; Amilcare Gentili; Anas Z Abidin; Andrew Liu; Anthony Beardsworth Costa; Bradford J Wood; Chien-Sung Tsai; Chih-Hung Wang; Chun-Nan Hsu; C K Lee; Peiying Ruan; Daguang Xu; Dufan Wu; Eddie Huang; Felipe Campos Kitamura; Griffin Lacey; Gustavo César de Antônio Corradi; Gustavo Nino; Hao-Hsin Shin; Hirofumi Obinata; Hui Ren; Jason C Crane; Jesse Tetreault; Jiahui Guan; John W Garrett; Joshua D Kaggie; Jung Gil Park; Keith Dreyer; Krishna Juluru; Kristopher Kersten; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Marius George Linguraru; Masoom A Haider; Meena AbdelMaseeh; Nicola Rieke; Pablo F Damasceno; Pedro Mario Cruz E Silva; Pochuan Wang; Sheng Xu; Shuichi Kawano; Sira Sriswasdi; Soo Young Park; Thomas M Grist; Varun Buch; Watsamon Jantarabenjakul; Weichung Wang; Won Young Tak; Xiang Li; Xihong Lin; Young Joon Kwon; Abood Quraini; Andrew Feng; Andrew N Priest; Baris Turkbey; Benjamin Glicksberg; Bernardo Bizzo; Byung Seok Kim; Carlos Tor-Díez; Chia-Cheng Lee; Chia-Jung Hsu; Chin Lin; Chiu-Ling Lai; Christopher P Hess; Colin Compas; Deepeksha Bhatia; Eric K Oermann; Evan Leibovitz; Hisashi Sasaki; Hitoshi Mori; Isaac Yang; Jae Ho Sohn; Krishna Nand Keshava Murthy; Li-Chen Fu; Matheus Ribeiro Furtado de Mendonça; Mike Fralick; Min Kyu Kang; Mohammad Adil; Natalie Gangai; Peerapon Vateekul; Pierre Elnajjar; Sarah Hickman; Sharmila Majumdar; Shelley L McLeod; Sheridan Reed; Stefan Gräf; Stephanie Harmon; Tatsuya Kodama; Thanyawee Puthanakit; Tony Mazzulli; Vitor Lima de Lavor; Yothin Rakvongthai; Yu Rim Lee; Yuhong Wen
Journal:  Nat Med       Date:  2021-09-15       Impact factor: 87.241

9.  Data Sharing in Southeast Asia During the First Wave of the COVID-19 Pandemic.

Authors:  Arianna Maever L Amit; Veincent Christian F Pepito; Bernardo Gutierrez; Thomas Rawson
Journal:  Front Public Health       Date:  2021-06-16

10.  FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia.

Authors:  Longling Zhang; Bochen Shen; Ahmed Barnawi; Shan Xi; Neeraj Kumar; Yi Wu
Journal:  Inf Syst Front       Date:  2021-06-15       Impact factor: 6.191

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