Doha-based deep technology start-up ADGS, which is part-funded by the Qatar Foundation, has released PANDEXIT, a Covid variant simulator, a first of its kind software to fight the spread and impact of the pandemic.
PANDEXIT is a tool to help decision makers evaluate the outcome of different Covid-19 lockdown policies through a reasonable estimation of the evolution of the pandemic in several configurable scenarios. It sorts and solves these complex equations using mathematical modelling of infectious diseases.
“With insights gained from PANDEXIT, organisations fighting the pandemic can test policies, procedures, and protocols, and then shift resources, as necessary, to more effectively slow the pandemic’s spread, save lives, and protect the economy,” ADGS president Hassan al-Ansari said.
It helps decision makers evaluate the outcome of multiple Covid-19 policies through a reasonable estimation of how the pandemic will evolve under several potential scenarios.
PANDEXIT is useful for government's efforts to fight the pandemic, as it allows estimation of the future outcome of policies that are being considered but not yet implemented in a risk-free way, based on the specific characteristics of the territory and not generalisations which might not apply.
PANDEXIT was awarded by the World Innovation Summit for Health (WISH) in 2020 as one of the 15 most promising worldwide health innovations.
“By simulating as realistically as possible the social interactions in a specific country, PANDEXIT can extrapolate the spreading of emerging biological diseases and thereby provide a powerful predictive tool to combat the current pandemic,” ADGS chief executive Christophe Billiottet said.
Facing a mutating virus, decision makers quickly establish lockdowns or curfews without a real foresight about their effect on the pandemic, he said, adding it will even be more confusing when only part of the population will be vaccinated.
“Using in-house Agent-Based Modelling algorithms developed during years of research and development, PANDEXIT goes much deeper into the complexity of human experiences than current models. It is a unique predictive system that simulates the broad social network of a country so that once virus hot spots are known, experts can develop models of how, when, and where people are likely to move, interact, and get infected," he added.
In October 2020, PANDEXIT models were built and tested for Australia, Singapore, Argentina and Qatar. Forty-day predictive data was very close to the actual pandemic evolution in these countries, displaying sometimes unexpected results that later proved to be accurate, contradicting classic models.
PANDEXIT is a tool to help decision makers evaluate the outcome of different Covid-19 lockdown policies through a reasonable estimation of the evolution of the pandemic in several configurable scenarios. It sorts and solves these complex equations using mathematical modelling of infectious diseases.
“With insights gained from PANDEXIT, organisations fighting the pandemic can test policies, procedures, and protocols, and then shift resources, as necessary, to more effectively slow the pandemic’s spread, save lives, and protect the economy,” ADGS president Hassan al-Ansari said.
It helps decision makers evaluate the outcome of multiple Covid-19 policies through a reasonable estimation of how the pandemic will evolve under several potential scenarios.
PANDEXIT is useful for government's efforts to fight the pandemic, as it allows estimation of the future outcome of policies that are being considered but not yet implemented in a risk-free way, based on the specific characteristics of the territory and not generalisations which might not apply.
PANDEXIT was awarded by the World Innovation Summit for Health (WISH) in 2020 as one of the 15 most promising worldwide health innovations.
“By simulating as realistically as possible the social interactions in a specific country, PANDEXIT can extrapolate the spreading of emerging biological diseases and thereby provide a powerful predictive tool to combat the current pandemic,” ADGS chief executive Christophe Billiottet said.
Facing a mutating virus, decision makers quickly establish lockdowns or curfews without a real foresight about their effect on the pandemic, he said, adding it will even be more confusing when only part of the population will be vaccinated.
“Using in-house Agent-Based Modelling algorithms developed during years of research and development, PANDEXIT goes much deeper into the complexity of human experiences than current models. It is a unique predictive system that simulates the broad social network of a country so that once virus hot spots are known, experts can develop models of how, when, and where people are likely to move, interact, and get infected," he added.
In October 2020, PANDEXIT models were built and tested for Australia, Singapore, Argentina and Qatar. Forty-day predictive data was very close to the actual pandemic evolution in these countries, displaying sometimes unexpected results that later proved to be accurate, contradicting classic models.