A novel AI model can predict which SARS-CoV-2 variations are likely to cause a new wave of COVID-19 infection.
Predicting the spread of SARS-CoV-2 variants: An artificial intelligence enabled early detection
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Tracking COVID-19 Variant Specific Viral Spread with Artificial Intelligence
Retsef Levi and colleagues studied what factors could shape the viral spread based on an analysis of 9 million SARS-CoV-2 genetic sequences collected by the Global Initiative on Sharing Avian Influenza Data (GISAID) from 30 countries, along with data on vaccination rates, infection rates, and other factors.
Test your Knowledge on Coronavirus (COVID-19)
Coronavirus is a large positive-strand RNA virus that is surrounded by a protein envelope. The virus obtains its name from the S protein spikes on its surface, which resemble a crown. The overall pattern of increasing coronavirus cases is shown to ...
Coronavirus is a large positive-strand RNA virus that is surrounded by a protein envelope. The virus obtains its name from the S protein spikes on its surface, which resemble a crown. The overall pattern of increasing coronavirus cases is shown to ...
‘Machine-learning models can provide improved early signals on the spread risk of new SARS-CoV-2 variants and timely interventions. #covid19 #covidvariants #AI #viralwaveforecast #respiratoryhealth #medindia’
The patterns that emerged from this analysis were used to build a machine-learning-enabled risk assessment model. The model can detect 72.8% of the variants in each country that will cause at least 1,000 cases per million people in the next three months after an observation period of only one week after detection. This predictive performance increases to 80.1% after two weeks of observation. Among the strongest predictors that a variant will become infectious are the early trajectory of the infections caused by the variant, the variant’s spike mutations, and how different the mutations of a new variant are from those of the most dominant variant during the observation period.
The modeling approach could potentially be extended to predict the future course of other infectious diseases as well, according to the authors.
Coronavirus
Coronaviruses infect animals, humans, and birds. Human coronaviruses, such as SARS, MERS, and 2019-nCoV cause respiratory distress and even death. The S protein is the infectious agent of the virus.
Coronaviruses infect animals, humans, and birds. Human coronaviruses, such as SARS, MERS, and 2019-nCoV cause respiratory distress and even death. The S protein is the infectious agent of the virus.
- Predicting the spread of SARS-CoV-2 variants: An artificial intelligence enabled early detection - (https://academic.oup.com/pnasnexus/article/3/1/pgad424/7504899?login=false)
Omicron Variant of COVID-19
Omicron variant is a mutated strain of coronavirus (SARS-CoV-2) with faster transmissibility and enhanced virulence compared to the original COVID-19 virus.
Omicron variant is a mutated strain of coronavirus (SARS-CoV-2) with faster transmissibility and enhanced virulence compared to the original COVID-19 virus.
