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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