In Focus

  • 11 April 2022 China CDC shares latest COVID-19 data (update 16-May)

    China CDC shares latest COVID-19 data

    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.

    read more  

  • 12 April 2022 AHF and GISAID team up on genomic sequencing

    GISAID Vice President Dr. Ben Branda (left) and AHF President Michael Weinstein

    AHF’s Global Public Health Institute and GISAID team up on genomic sequencing

    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  

  • 8 March 2022 Detection of Delta (AY.4)-Omicron (BA.1) recombinant

    hCoV-19/France/HDF-IPP08027i/2022

    Confirmation of an AY.4/BA.1 recombinant first detected in France

    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.

  • 26 November 2021 GISAID rapidly shares genomes of new variant B.1.1.529

    3D structure of spike with amino acid changes in Omicron

    Omicron discovered on all seven continents

    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.

    Track the variant >>  

  • CBD Study finds GISAID might provide useful lessons and insight to ABS discussion

    CBD Study finds 'GISAID might provide useful lessons and insight to ABS discussions'

    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. 

    > download the fact-finding & scoping study

  • 19 May 2017 G20 Health Ministers

    G20 Health Ministers recognize the importance of GISAID in regard to virus data sharing

    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)

hCoV-19 Submission Tracking

Track Omicron and other variants

Public-Private Partnerships of the GISAID Initiative

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.

Genomic epidemiology of hCoV-19

hCoV-19 data sharing via GISAID

11,556,169

genome sequence submissions

 

CoronaTrend

The University of Hong Kong (Hong Kong)
Prevalence of different mutations across different lineages

assayM

King Abdullah University of Science & Technology (Saudi Arabia)
Track sensitivity of RT-PCR primers on variants


CoV-Spectrum

Computational Evolution Group, ETH Zurich (Switzerland)
Fully interactive platform to explore and monitor variants of SARS-CoV-2

CoVerage

Helmholtz Centre for Infection Research (Germany)
Epidemiological dynamics of SARS-CoV-2 lineages

CovidTag 

IrsiCaixa AIDS Research Institute (Spain)
Average weekly hCoV-19 variants counts in Spain and Regions

CoVGlobe

The Francis Crick Institute (United Kingdom)
Aggregate three-week rolling averages of lineages in different locations

Regeneron COVID-19 Dashboard

Molecular Profiling & Data Science and Bioinformatics Core Services (USA)
Track current and emerging SARS-CoV-2 variants with customizable visualizations

Outbreak.Info Mutation Situation Reports

The Andersen Lab at Scripps Research (USA)
Tracking the prevalence of several lineages or sets of mutations within the hCoV-19 genome

CoVariants

University of Bern (Switzerland)
SARS-CoV-2 variants and mutations of interest

Covid-Miner

Regina Elena National Cancer Institute (Italy)
Detect the emergence and geographical distribution of hCoV-19 Spike protein genetic varian
ts

COVID-19 CoV Genetics Browser

Broad Institute of MIT and Harvard (USA)
Track transmission, evolution, emergence, immune interactions, diagnostics, therapeutics & vaccines


CoronaTrend

The University of Hong Kong (Hong Kong)
Prevalence of different mutations across different lineages


assayM

King Abdullah University of Science & Technology (Saudi Arabia)
Track sensitivity of RT-PCR primers on variants


Wisconsin Genomic Dashboard

Wisconsin Department of Health Services (USA)
Summary reports on sequencing and variants of SARS-CoV-2 (hCoV-19)

CoV-Spectrum

Computational Evolution Group, ETH Zurich (Switzerland)
Fully interactive platform to explore and monitor variants of SARS-CoV-2

CoVerage

Helmholtz Centre for Infection Research (Germany)
Epidemiological dynamics of SARS-CoV-2 lineages

CovidTag 

IrsiCaixa AIDS Research Institute (Spain)
Average weekly hCoV-19 variants counts in Spain and Regions

CoVGlobe

The Francis Crick Institute (United Kingdom)
Aggregate three-week rolling averages of lineages in different locations

Regeneron COVID-19 Dashboard

Molecular Profiling & Data Science and Bioinformatics Core Services (USA)

Mutation Situation Reports

The Andersen Lab at Scripps Research (USA)
Tracking the prevalence of several lineages or sets of mutations within the hCoV-19 genome

CoVariants

University of Bern (Switzerland)
SARS-CoV-2 variants and mutations of interest

Covid-Miner

Regina Elena National Cancer Institute (Italy)
Detect the emergence and geographical distribution of hCoV-19 Spike protein genetic varian
ts

COVID-19 CoV Genetics Browser

Broad Institute of MIT and Harvard (USA)
Track transmission, evolution, emergence, immune interactions, diagnostics, therapeutics & vaccines

 

GISAID Resources

Data Acknowledgement Locator