The Chinese Center for Disease Control and Prevention shared via GISAID new hCoV-19 genome sequences from 27 provinces, collected between 2022-01-01 and 2022-03-30. Phylogenetic analyses suggest at least 35 independent introductions from outside China rather than extensive local transmission. This indicates that measures are mostly effective in disrupting long transmission chains following import.
Eleven genomes were assigned as Delta (from six distinct lineages), and 66 genomes were assigned as Omicron (from 14 distinct lineages). No highly divergent new variants were found. A small cluster of multiple cities (2x Hong Kong, 1x Shaanxi, 2x Zhejiang, 2x Yunnan, 1x Beijing) is seen in the tree tip with Hong Kong cases in the genetic base which are part of lineage BA.2.2.
The AHF Global Public Health Institute at the University of Miami and GISAID announced their collaboration to increase genomic sequencing efforts in low- and middle-Income countries.
GISAID’s ongoing work in training and skill-sharing will be leveraged to support the genomic sequencing projects AHF is currently funding. GISAID will also work with AHF to advocate for genomic sequencing and sharing as a crucial component of global public health. “Genomic sequencing, in general, is the early warning system that we need if we have additional surges from COVID-19 and other diseases” said AHF President Michael Weinstein.
read the full announcement here
First solid evidence for a Delta-Omicron recombinant virus has been shared by Institut Pasteur via GISAID (EPI_ISL_10819657 incl. raw reads). The analysis provides definite confirmation of the structure of a recombinant virus derived from the GK/AY.4 and GRA/BA.1 lineages.
This recombinant virus identified in several regions of France by the EMERGEN consortium has been circulating since early January 2022 and genomes with a similar profile have been also identified in Denmark and The Netherlands. Further investigations are needed to determine if these recombinants derive from a single common ancestor or could result from multiple similar recombination events.
The unique mix of spike amino acid changes in Omicron (clade GRA, lineage B.1.1.529 and descendants BA.1 and BA.2) is of interest as it comprises several that were previously identified to affect receptor binding and antibody escape. As with all low frequency variants with potentially relevant changes, these need to be monitored closely to study if they spread more widely as a consequence of immune escape, or altered receptor interactions. Omicron variants with and without a deletion in spike and a few other changes - BA.1 and BA.2 respectively - are co-circulating, complicating the use of PCR tests to diagnose Omicron based on “S-gene target failure”.
The timely detection of Omicron variants was made possible by researchers from Botswana, Hong Kong, South Africa who shared the first genomes of the variant.
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.
With the core principals of timely international sharing of health data for protecting populations against lethal infectious disease outbreaks and adherence to scientific etiquette of acknowledgement of the source of data has resulted in global trust and confidence in GISAID.
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)
The GISAID Initiative involves public-private partnerships, among them the partnership with the Federal Republic of Germany, and governmental public-health and academic institutions in Argentina, Brazil, China, Republic of the Congo, Ethiopia, Indonesia, Malaysia, Russia, Senegal, Singapore, South Africa, and the support by Friends of GISAID, a registered non-profit association and administrative arm of the Initiative.
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)
We do need substantially innovative mechanisms for microbe sharing, if mankind is to survive future pandemics. GISAID is an excellent example!!!
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
The core principles enshrined in GISAID's sharing mechanism are a shining beacon of hope. A recognized leader in influenza pandemic preparedness, thanks to its brilliant performance in data sharing
Ambassador Makarim Wibisono
Republic of Indonesia (ret)
Professor, Universitas Airlangga
A key to protecting the world from future viral threats is having immediate and open access to critical viral data. GISAID has established a highly effective, trusted and time-tested model for influenza data sharing that could serve as an important model for other viral families
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
Dr Mike Catchpole
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
Prof. Dr med Keiji Fukuda
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
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
11,549,570
genome sequence submissions
The University of Hong Kong (Hong Kong)
Prevalence of different mutations across different lineages
Helmholtz Centre for Infection Research (Germany)
Epidemiological dynamics of SARS-CoV-2 lineages
IrsiCaixa AIDS Research Institute (Spain)
Average weekly hCoV-19 variants counts in Spain and Regions
University of Bern (Switzerland)
SARS-CoV-2 variants and mutations of interest
Western University (Canada)
Near real-time visualization of hCoV-19 genomic variation
CSIRO (Australia)
Representation of the similarity of viral genomes in 2-dimensional space
KAUST (Saudi Arabia)
COVID-19 virus geographic mutation tracker and visualization tool
Michigan State University (USA)
Explore and animate mutations over time
Indiana University (USA)
Genome position / Region / Area / Concurrence search and SNV birth query
University of Turin (Italy)
Diagnostic detection of 2019-nCoV by real-time RT-PCR amplification
The University of Hong Kong (Hong Kong)
Prevalence of different mutations across different lineages
Helmholtz Centre for Infection Research (Germany)
Epidemiological dynamics of SARS-CoV-2 lineages
IrsiCaixa AIDS Research Institute (Spain)
Average weekly hCoV-19 variants counts in Spain and Regions
Molecular Profiling & Data Science and Bioinformatics Core Services (USA)
University of Bern (Switzerland)
SARS-CoV-2 variants and mutations of interest
Western University (Canada)
Near real-time visualization of hCoV-19 genomic variation
CSIRO (Australia)
Representation of the similarity of viral genomes in 2-dimensional space
KAUST (Saudi Arabia)
COVID-19 virus geographic mutation tracker and visualization tool
Michigan State University (USA)
Explore and animate mutations over time
Indiana University (USA)
Genome position / Region / Area / Concurrence search and SNV birth query
University of Turin (Italy)
Diagnostic detection of 2019-nCoV by real-time RT-PCR amplification