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Iceland Provides a Picture of the Early Spread of COVID-19 in a Population With a Cohesive Public Health Response
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Study combines the most intensive targeted testing and general screening of any population to date with comprehensive sequencing of the virus from all identified cases, to trace its mutation and spread

Results underscore the effectiveness and necessity of aggressive testing, isolation of cases and physical distancing, as well as the urgency of more testing to contain the virus and disease

deCODE genetics Logo (PRNewsfoto/deCODE genetics)

News provided by

deCODE genetics

Apr 14, 2020, 17:00 ET

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REYKJAVIK, Iceland, April 14, 2020 /PRNewswire/ -- Scientists at deCODE genetics and colleagues from Iceland's Directorate of Health and the National University Hospital today publish online in the New England Journal of Medicine a population-based study of the early spread of the SARS-Cov-2 virus (causing COVID-19 disease) in Iceland. The aim of the study was to provide as comprehensive a view as possible of how the virus spreads in a population, in this case one of 360,000 and implementing early and aggressive testing, tracking and isolation measures to contain the epidemic. The results show that roughly 0.8% of the population at large is infected with several strains or clades of the virus supporting the concern that silent carriers spread the disease. This suggests that while the efforts of the public health system have been effective so far in mitigating the spread to date, more data, including massive population screening, will be key to informing efforts to contain the virus in Iceland in the long run.

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Iceland Provides a Picture of the Early Spread of COVID-19 in a Population With a Cohesive Public Health Response.
Iceland Provides a Picture of the Early Spread of COVID-19 in a Population With a Cohesive Public Health Response.
deCODE genetics headquarters (PRNewsfoto/deCODE genetics)
deCODE genetics headquarters (PRNewsfoto/deCODE genetics)

The study builds on combined targeted testing and population screening at more than 60,000 tests/million at April 4, the stop date for the data in this study; an additional 4,000 tests/million have been conducted in Iceland every day since that time. Icelandic health authorities began testing those returning from high-risk zones (mainly ski resorts in the Alps) and with likely symptoms in the beginning of February, a month before identifying the first SARS-Cov-2 infection on February 28. As of April 4, this targeted testing had identified 1221 cases from among 9199 symptomatic individuals and their contacts. All confirmed cases were placed in isolation and their contacts traced and put in 14-day home quarantine. To complement this testing and provide a view of the spread of the virus in the general population, on March 13 deCODE began testing volunteers who signed up for free screening. By April 1, 10797 people had been screened in this effort, with 87 (0.8%) testing positive. From April 1 to April 4, an additional 2,283 randomly selected individuals were screened, with 13 (0.6%) testing positive. Analysis of the combined testing data suggests that children and women are, in general, somewhat less susceptible to SARS-Cov-2 infection than men and adults.

"In attempting to carefully map the molecular epidemiology of COVID-19 in Iceland we hope to provide the entire world with data to use in the collective global effort to curb the spread of the disease," said Kari Stefansson, CEO of deCODE genetics and a senior author on the paper.

deCODE sequenced the virus from 643 individuals and drew a family tree of the different haplotypes (strings of sequence variants) found. Analysis of sequence data reveals that the haplotypes of the virus detected in the early targeted testing were almost entirely of the A2 clade originating in Austria and Italy and entering Iceland with people returning from skiing holidays. By contrast, the cases identified in the more recent targeted testing and in deCODE's population screening show that various haplotypes of the A1 clade prevalent in countries such as the UK had become more common, and that there is now a wide and growing variety of haplotypes present in the population.

This suggests that the virus entered Iceland from many countries, including those that were then deemed low-risk. Currently 291 mutations have been found in the country that have not been identified elsewhere. One of the utilities of the sequencing of the virus  is that it makes it possible to track the contacts and additional infections coming from confirmed cases. These data, and the fact that the majority of new infections are coming from those already in quarantine, underscores the general efficacy of public health efforts to track and isolate these contacts and further control the spread of the virus.

"To bend the curve of this pandemic as quickly as possible, we need scientifically accurate information on how COVID-19 spreads in communities," said Robert A. Bradway, chairman and chief executive officer at Amgen.  "I believe deCODE's swift response to this emergency and the insights they have generated will give give the rest of the world a stronger scientific foundation for public health decisions."

Based in Reykjavik, Iceland, deCODE is a global leader in analyzing and understanding the human genome. Using its unique expertise in human genetics combined with growing expertise in transcriptomics and population proteomics and vast amount of phenotypic data, deCODE has discovered risk factors for dozens of common diseases and provided key insights into their pathogenesis. The purpose of understanding the genetics of disease is to use that information to create new means of diagnosing, treating and preventing disease. deCODE is a wholly-owned subsidiary of Amgen (NASDAQ: AMGN).

Contact:
Thora Kristin Asgeirsdottir
PR and Communications
deCODE genetics
[email protected]
+354 894 1909

Video - https://mma.prnewswire.com/media/1154998/Dr_Kari_Stefansson_on_COVID_19.mp4
Photo - https://mma.prnewswire.com/media/1154641/deCODE_genetics_headquarters.jpg
Logo - https://mma.prnewswire.com/media/974116/deCODE_genetics_Logo.jpg

SOURCE deCODE genetics

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deCODE genetics veröffentlicht Multiomik-Studie zur nichtalkoholischen Fettlebererkrankung

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