Beyond Limits Coronavirus Dynamic Predictive Model Launched
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Beyond Limits Coronavirus Dynamic Predictive Model Launched

Beyond Limits Coronavirus Dynamic Predictive Model Launched

Beyond Limits, a Glendale-based artificial intelligence software engineering company, today announced the Beyond Limits Coronavirus Dynamic Predictive Model. The new forecasting model has been built to help healthcare and governmental leaders predict the impact of COVID-19 on people, medical facilities, and regional recovery plans. The model enables planners to determine logistical responses at national, state, and county levels, as well as estimate the effects of mobility on infectivity.

In the effort to create the new predictive model, Beyond Limits collaborated with renowned medical experts from around the world combining their knowledge and expertise with advanced AI technology and modeling/programming capabilities from the company's origins at the Caltech Jet Propulsion Laboratory.

Chart Attribute: The Beyond Limits Coronavirus Dynamic Predictive Model forecasts infection rates, hospitalization rates, and the percentage of patients that will require ICU, ventilators, ECMO, or dialysis care. / Source: Beyond Limits

Chart Attribute: The Beyond Limits Coronavirus Dynamic Predictive Model forecasts infection rates, hospitalization rates, and the percentage of patients that will require ICU, ventilators, ECMO, or dialysis care. / Source: Beyond Limits

"It's our hope that by working together, we can offer useful advancements to the science of COVID-19 predictive modeling," said AJ Abdallat, CEO, Beyond Limits. "Our goal was to apply innovative AI technology and deep medical experience with real-time data analysis to help society manage a very difficult situation."

Chart Attribute: The Beyond Limits Coronavirus Dynamic Predictive Model forecasts overall infectivity, as well as estimates the effects of mobility on infectivity. / Source: Beyond Limits

Chart Attribute: The Beyond Limits Coronavirus Dynamic Predictive Model forecasts overall infectivity, as well as estimates the effects of mobility on infectivity. / Source: Beyond Limits

The dynamic Beyond Limits model leverages COVID-19 case data obtained from a database compiled by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, in Baltimore, MD, USA. This database is used to predict resource supply and demand; enabling planners to determine logistical responses at national, state, and county levels. The model predicts infection rates, hospitalization rates, and the percentage of patients that will require ICU, ventilators, ECMO, or dialysis care.


The model also obtains mobility data from Descartes Labs, Inc., Santa Fe, NM, USA; enabling planners to estimate the effects of mobility on infectivity, alongside the ability to factor in potential impacts from changes in stay-at-home policies.

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