Since the start of the COVID-19 outbreak and the identification of the pandemic virus, laboratories around the world are generating viral genome sequence data with unprecedented speed, enabling real-time progress in the understanding of the new disease and in the research and development of candidate medical countermeasures. Sequence data are essential to design and evaluate diagnostic tests, to track and trace the ongoing outbreak, and to identify potential intervention options. Listen to PRI's Elana Gordon.
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Virus surveillance in animals is an important aspect of pandemic preparedness to know what is out there and could cause zoonotic infections (jumps from animals to humans) or even present pandemic threats. Researchers have concluded a surveillance study in pigs and identified a new reassortant H1N1 swine flu that shows the minimal characteristics for a virus with pandemic potential.
Reassortment of viruses at the animal-human interface continues to be a serious problem. The G4 virus is one of several swine viruses with zoonotic potential in the world that should be watched closely.
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GISAID clades were subsequently augmented with more detailed lineages assigned by the Phylogenetic Assignment of Named Global Outbreak LINeages (PANGOLIN) tool, and a third effort using a Year-Letter nomenclature to facilitate discussion of large-scale diversity patterns of hCoV-19, to aid in the understanding of patterns and determinants of the global spread of the pandemic strain causing COVID-19. > read more
Member States representatives met at the 72nd annual World Health Assembly in Geneva, Switzerland to discuss and debate a report prepared by the WHO on the public health implications of implementation the Nagoya Protocol.
GISAID comments on that paper, highlighting the current issues around sharing of seasonal influenza viruses, the consequences of delays in virus sharing, and the connection to the discussion at the Convention on Biological Diversity.
> read GISAID's Comments on the Report
A peer-reviewed fact-finding and scoping study on digital sequence information on genetic resources in the context of the Convention on Biological Diversity and the Nagoya Protocol, highlights key advantages of GISAID’s sharing mechanism and a fair and equitable benefit-sharing resulting from access to data.
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> download the fact-finding & scoping study
At the invitation of Germany, the first meeting of Health Ministers of the Group of Twenty leading industrialized and emerging economies (G20) took place in Berlin between 19-20 May 2017.
Under the banner of “Together Today for a Healthy Tomorrow – Joint Commitment for Shaping Global Health”, the two-day meeting focused on combating global health hazards. In their Berlin Declaration, the G20 Health Ministers recognize the importance of the Global Initiative on Sharing All Influenza Data (GISAID).
> read more
> The Berlin Declaration of the G20 Health Ministers (2017)
Shirleen Soh
Genome Institute of Singapore A*STAR
Christophe Malabat
CNRS & Institut Pasteur, Paris
Aengus Stewart
The Francis Crick Institute, London
Sheila Ons
Universidad Nacional de La Plata, Buenos Aires
Thomas Bigot
CNRS & Institut Pasteur, Paris
Daniel See Rui En
Bioinformatics Institute Singapore A*Star
Deborah Schneider-Luftman
The Francis Crick Institute, London
Kirsten Roomp
Luxembourg Centre for Systems Biomedicine
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Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro
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Bioinformatics Institute Singapore A*Star
Pablo Soro Barrio
The Francis Crick Institute, London
Natalia Pietrosemoli
CNRS & Institut Pasteur, Paris
Suma Tiruvayipati
Genome Institute of Singapore A*Star
Marcos Sterkel
Universidad Nacional de La Plata, Buenos Aires
Richard Mitter
The Francis Crick Institute, London
Mariana Viegas
National Council of Scientific & Technical Research, Buenos Aires
Claudia Chica
CNRS & Institut Pasteur, Paris
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University of Edinburgh, MRC Human Genetics Unit
Amandine Perrin
CNRS & Institut Pasteur, Paris
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Bioinformatics Institute Singapore A*Star
Jose Manuel Latorre
National Council of Scientific & Technical Research, Buenos Aires
Hervé Ménager
CNRS & Institut Pasteur, Paris
Stephanie Goya
Hospital de Niños Dr. Ricardo Gutiérrez, Buenos Aires
Gael Millot
CNRS & Institut Pasteur, Paris
Gavin Kelly
The Francis Crick Institute, London
Gabriel Lihue Rojo
Hospital de Niños Dr. Ricardo Gutierrez, Buenos Aires
Olov Svartström
Public Health Agency of Sweden
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Pasteur Institute, Paris
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Bioinformatics Institute Singapore A*Star
Emna Achouri
CNRS & Institut Pasteur, Paris
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National Council of Scientific & Technical Research, Buenos Aires
Damien Mornico
CNRS & Institut Pasteur, Paris
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Bioinformatics Institute Singapore A*Star
Corinne Maufrais
CNRS & Institut Pasteur, Paris
Probir Chakravarty
The Francis Crick Institute, London
Xiaofeng Wei
CNGb Beijing Genomics Institute, Shenzhen
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CNRS & Institut Pasteur, Paris
Yu Xing Teo
Bioinformatics Institute Singapore A*Star
Sarasvathi Easwvaran
Adelaide, Australia
Quentin Giai Gianetto
CNRS & Institut Pasteur, Paris
Lina Wang
CNGb Beijing Genomics Institute, Shenzhen
Amaury Vaysse
CNRS & Institut Pasteur, Paris
Shirleen Soh
Genome Institute of Singapore A*STAR
Christophe Malabat
CNRS & Institut Pasteur, Paris
Aengus Stewart
The Francis Crick Institute, London
Sheila Ons
Universidad Nacional de La Plata, Buenos Aires
Thomas Bigot
CNRS & Institut Pasteur, Paris
Daniel See Rui En
Bioinformatics Institute Singapore A*Star
Deborah Schneider-Luftman
The Francis Crick Institute, London
Kirsten Roomp
Luxembourg Centre for Systems Biomedicine
Paola Cristina Resende Silva
Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro
Shilpa Yadahalli
Bioinformatics Institute Singapore A*Star
Pablo Soro Barrio
The Francis Crick Institute, London
Natalia Pietrosemoli
CNRS & Institut Pasteur, Paris
Suma Tiruvayipati
Genome Institute of Singapore A*Star
Marcos Sterkel
Universidad Nacional de La Plata, Buenos Aires
Richard Mitter
The Francis Crick Institute, London
Mariana Viegas
National Council of Scientific & Technical Research, Buenos Aires
Claudia Chica
CNRS & Institut Pasteur, Paris
Kathryn A. Jackson-Jones
University of Edinburgh, MRC Human Genetics Unit
Amandine Perrin
CNRS & Institut Pasteur, Paris
Raphael Lee Tze Chuen
Bioinformatics Institute Singapore A*Star
Jose Manuel Latorre
National Council of Scientific & Technical Research, Buenos Aires
Hervé Ménager
CNRS & Institut Pasteur, Paris
Stephanie Goya
Hospital de Niños Dr. Ricardo Gutiérrez, Buenos Aires
Gael Millot
CNRS & Institut Pasteur, Paris
Xingyu Zhu
Bioinformatics Institute Singapore A*Star
Gavin Kelly
The Francis Crick Institute, London
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Hospital de Niños Dr. Ricardo Gutierrez, Buenos Aires
Olov Svartström
Public Health Agency of Sweden
Emmanuelle Permal
Pasteur Institute, Paris
Fernanda Sirota
Bioinformatics Institute Singapore A*Star
Emna Achouri
CNRS & Institut Pasteur, Paris
Lucila Traverso
National Council of Scientific & Technical Research, Buenos Aires
Damien Mornico
CNRS & Institut Pasteur, Paris
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Bioinformatics Institute Singapore A*Star
Corinne Maufrais
CNRS & Institut Pasteur, Paris
Probir Chakravarty
The Francis Crick Institute, London
Xiaofeng Wei
CNGb Beijing Genomics Institute, Shenzhen
Amine Ghozlane
CNRS & Institut Pasteur, Paris
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Adelaide, Australia
Quentin Giai Gianetto
CNRS & Institut Pasteur, Paris
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CNGb Beijing Genomics Institute, Shenzhen
Amaury Vaysse
CNRS & Institut Pasteur, Paris
hCoV-19/USA/NM-UNM-00260/2023
hCoV-19/Russia/StPetersburg-RII21797S/2023
hCoV-19/England/NORW-EEB52/2023
hCoV-19/Saudi Arabia/KFSHRC50/2023
hCoV-19/Sweden/SVA200327SZ-NSW/2023
hCoV-19/Singapore/761/2023
Number of hCoV-19 genomic sequences: 76,640
The GISAID Initiative, originally known as a Global Initiative on Sharing All Influenza Data, involves public-private-partnerships between the Initiative's administrative arm Freunde of GISAID e.V., a registered non-profit association, and governments of the Federal Republic of Germany, the official host of the GISAID platform, Singapore and the United States of America, with support from private and corporate philanthropy.
Congratulations to GISAID for ten years of successful work on pandemic influenza preparedness. As one of the key players in ensuring effective data sharing GISAID has made a significant contribution to global health security
Prof. Jane Halton AO PSM
Chair, Coalition for Epidemic Preparedness Innovations CEPI
Commemorating the centenary of the 1918 pandemic, the most catastrophic event in the recorded history of influenza, it is reassuring to know that GISAID is ready and prepared when a similar event emerges and threatens global health. Congratulations on bringing together one of the most successful global collaborations ever achieved
Prof. Dr Rob Webster
St Jude Children’s Research
Hospital, Memphis, Tennessee
The unique contribution of the GISAID data sharing mechanism is the confidence it has engendered among scientific and political communities as it has added to their capabilities to collaborate more effectively to combat influenza viruses
Dr med David Nabarro
United Nations System Coordinat.
for Avian & Human Influenza (ret)
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Dr Suwit Wibulpolprasert
Ministry of Public Health, Thailand
International Health Policy Program Foundation
IFPMA acknowledges GISAID’s important role in providing the platform for the open and timely sharing of influenza data and building greater trust among countries and stakeholders, a key element to influenza global pandemic preparedness
Thomas B. Cueni
Director General
International Federation of Pharma
Manufacturers & Associations
The tenth anniversary of GISAID represents a landmark in global solidarity. A pandemic strain of influenza is perhaps the world's greatest threat. Everything GISAID stands for: virus sharing, cutting-edge research, open access, and international cooperation to guarantee health security couldn't be more important
Prof. Lawrence O. Gostin
WHO Collaborating Center on
National and Global Health Law
Georgetown University
GISAID’s trustworthy data sharing principles forever transformed global collaboration in the fight against influenza, enabling unprecedented rapid response to outbreaks. In 2013, Nature called China’s sharing of H7N9 avian influenza data through GISAID ‘next to exemplary’
Prof. Dr George Fu Gao
Director General
Chinese Center for Disease Control and Prevention
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Ambassador Makarim Wibisono
Republic of Indonesia (ret)
Professor, Universitas Airlangga
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Dr Dennis Carroll
Global Health Security
US Agency for International Development (USAID)
GISAID successfully built upon the collaborative ethos of the 70-year old WHO Global Influenza Programme, to complement and extend the sharing of viruses, reagents & essential information
Dr med Wenqing Zhang
World Health Organization
Global Influenza Programme
The GISAID Initiative was established to champion (and enhance) rapid sequence data sharing for seasonal and pandemic influenza preparedness - a global public health imperative. GISAID’s success exceeded our expectations and provides an important model for rapid data sharing for other pathogens with pandemic potential
Dr Nancy J. Cox
WHO Collaborating Center for Surveillance, Epidemiology and Control of Influenza
Centers for Disease Control and Prevention (ret)
Not all big ideas become a reality and not all big ideas fill a global need. As a public-private partnership GISAID is a model for data sharing in the digital age. On its 10th anniversary we may look back at the initial inspiration and the headline of the supporting editorial in Nature that puts the point succinctly: Sharing saves lives
Dr med Bruce G. Gellin
Global Immunization, President
Sabin Vaccine Institute
ECDC congratulates GISAID for a successful 10 years of advocating for and implementing sharing of influenza sequence data. The initiative plays a key role in global and European pandemic preparedness and increases our understanding of the annual influenza seasons
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European Centre for Disease
Prevention and Control (ECDC)
GISAID has advanced influenza virus data sharing to a new level, greatly contributing to the global effort to detect, respond, and mitigate seasonal and pandemic influenza
Prof. Dr med Peter Jay Hotez
Baylor College of Medicine, Dean
National School Tropical Medicine
I congratulate the GISAID Initiative on its ten-year anniversary as it continues its important work to promote the international sharing of influenza virus sequences and data
Ambassador John E. Lange
U.S. Department of State (ret)
United Nations Foundation
Over the past decade, GISAID has been an invaluable global partner in fostering open access to data related to influenza, a central issue related to influenza and all EIDs
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The University of Hong Kong
School of Public Health
GISAID encourages increased collection and rapid dissemination of data that improves our understanding of the complex and dynamic epidemiology of influenza viruses. On behalf of OFFLU network, we offer our congratulations on the contribution GISAID has made to build international collaboration over the last 10 years
Dr Peter Daniels
Dr David Swayne
OFFLU OIE/FAO Network of
Expertise on Animal Influenza
The pioneering concept of transparent data sharing developed GISAID into the premier source of influenza virus sequence information and proven its worth in outbreak situations
Prof. Dr Thomas C. Mettenleiter
Friedrich-Loeffler-Institute
Federal Research Institute
for Animal Health, Germany
Ten years after GISAID first introduced its game-changing mechanism, breaking data sharing barriers, it continues to be a most trusted leader in pandemic preparedness & response
Prof. Dr Yuelong Shu
Sun Yat-sen University, Dean
School of Public Health, Shenzhen
GISAID has become the most complete public database for influenza virus sequence data in support of fundamental science and public and animal health applications
Prof. Dr Ron Fouchier
Erasmus MC Rotterdam
Viroscience & Nat'l Influenza Cntr
By sharing influenza virus sequences among scientists around the world, GISAID has had a tremendous impact on influenza virus research
Prof. Dr Yoshihiro Kawaoka
University of Wisconsin-Madison
University of Tokyo
The GISAID database provides access to sequences of viruses isolated less than four weeks earlier. Such timely sharing is what makes near real-time analysis possible
Prof. Dr Richard Neher
University of Basel, Biozentrum
Computational Modeling
From the latest seasonal to new zoonotic and animal influenza viruses, GISAID always has the most relevant strains and exciting new analysis tools
Dr Sebastian Maurer-Stroh
Agency for Science, Technology
and Research A*STAR Singapore
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Answers about the GISAID Initiative
'public vs. anonymous data sharing'
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