DataWalk supports authorities in the intelligent analysis and management of operations on an epidemiological battlefield.

Coronavirus (Covid-19) Analysis Software


Intelligence Analysis Software to combat coronavirus

Coronavirus has spread around the world with incredible speed. Health departments, law enforcement agencies, and others are looking for effective ways to stop the virus and mitigate its effects. Managing the complexities related to the variety and scale of disparate data that organizations collect - and want to analyze - requires a radical, tactical shift from traditional methods and techniques. On this new battlefield, minimizing the time it takes to deploy a system and generate results is critical, as is the ability to correlate silo’d data on the fly in order to immediately analyze fast-changing data. Intelligence analysis must be used to fight against this new type of hidden enemy.

Operational and analytical environment for correlating many types of data

DataWalk is analytics software which enables authorities to have a single repository where all of your internal and public data is visible, connected, and available for analysis. This may include public records, patient data, vaccine supply reports, hospital information, availability of medical equipment, local infection statistics, demographic data, cell phone data, calls to emergency service numbers, Open Source Intelligence (OSINT), law enforcement databases and other mobile device data provided by COVID apps. DataWalk is based on a Big Data architecture which can easily handle many billions of records, so you don’t need to worry about running out of capacity even if you have vast amounts of data.

Intelligent scoring for precise prioritization for vaccination

DataWalk’s capabilities for Big Data analysis and it’s powerful, flexible scoring engine (utilizing expert rules and machine learning) enable the system to identify the location of priority populations for which anti-COVID-19 vaccine distribution should prioritized. The DataWalk solution can prioritize specific groups or locations based on the any desired characteristics, e.g., proportion of elderly people, specific occupational groups (e.g., healthcare workers), population density, risk group related to comorbidities, and/or any others as desired.

Proactively identify distribution and inventory constraints

Based on integration with vaccine delivery systems, medical resources and medical personnel, DataWalk software enables you to identify the necessary resources required to provide mass distribution and vaccination across your population. The system allows you to identify and react to emerging shortages and bottlenecks in the distribution processes of medical resources.

A “sandbox” for quickly testing effectiveness of new analyses

As the situation with coronavirus is rapidly changing and carries such dramatic impacts, organizations are often unsure of what might be possible given the data they can access, and must consider that the key analyses required in a few months may be entirely different than what’s needed today. Complicating the issue is that new data is being generated that has not been used before (e.g., COVID apps), and existing data may need to be used in new ways. DataWalk effectively supports such a dynamic situation by providing a “sandbox” in which you can quickly experiment with different types of data and analyses, and learn about the types of problems that you may – or may not – be able to solve given the data that’s available to you.

Automatically identify individuals breaking quarantine

DataWalk can use data from government-provided mobile applications and other telco data to designate and monitor quarantine zones. An alert can then be generated and geolocated anytime a quarantined individual leaves the quarantine zone. Depending on the data authorities have access to, DataWalk can enable identification of the person’s place of living or even identify a specific phone number and name of an individual who does not respect the quarantine.

Predict outbreaks and re-allocate medical resources accordingly

DataWalk can help optimize the allocation of critical resources during the Coronavirus epidemic. Using machine learning, DataWalk can predict potential areas of COVID-19 infection growth for the coming days, as well as the general risk of a shortage of medical resources resulting from overcrowded hospitals. If the data is available, DataWalk can then identify potential opportunities to optimally re-allocate these resources (e.g., doctors, nurses, ventilators, etc.) from areas of lower utilization, to where they are needed the most.

Identify High Risk Zones

DataWalk enables you to generate a map whereby virus risk can be calculated for any desired areas (state, county, city) based on factors such as how many infected people are known to be in the area, how many people are quarantined in this area, and what is the infection rate for this area. This information can be used by health agencies to provide appropriate notifications – in near-real time - to individuals when they live or enter a high-risk area. Identification of high-risk zones can also be helpful for prioritizing testing, and to alert first responders whether they may be at increased risk.

Rapid deployment with minimal IT support required

When time is critical, DataWalk can uniquely meet the need. Unlike other analytics systems, DataWalk can be installed in minutes (either on-premise via remote, or in the cloud), data can be imported and connected in hours, and you can start delivering initial results in a few days or even less. DataWalk is very agile, even in a production environment, such that it can be easily expanded with additional data sources, new analyses and new use cases. This can all be done with little or no IT support.


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