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Using reliable data sources and predictive modeling, the map offers a tool to mitigate the impact of the virus in vulnerable areas.
 
April 27, 2020 – To help healthcare-related businesses and stakeholders, governments, public health officials and emergency managers plan for and mitigate the impact of COVID-19 and other infectious diseases that can lead to a pandemic, Spatially Health, a data analytics and predictive modeling health tech company, has developed a map that reveals the areas that are most vulnerable to a deadly outbreak based on known risk factors and other data. 
 
Spatially Health’s COVID-19 Local Vulnerabilities Map compiles demographic data, population and population density figures, the prevalence of known risk factors for the virus and the number of residential care facilities in an area. That data, taken from reliable sources, is then used to calculate an area’s vulnerability score. This measurement can be used to develop prevention and mitigation strategies, prioritize and coordinate the deployment of scarce resources and testing sites, plan for the workforce’s safe return to business and the measured reopening of the economy. 
 
“This tool, which we’ve developed in response to this outbreak, uses geo-spatial data to pinpoint higher-risk areas across 500 cities in the U.S.,” said Hillit Meidar-Alfi, Ph.D., CEO of Spatially Health. “We’ve shown the value of using existing data, pulled from reliable sources like the Census Bureau and the CDC, to solve real-time problems, including managing the impacts of this global pandemic. Our map can be imperative for entities wanting to build a comprehensive and effective approach.”  
 
Spatially Health, headquartered in Coral Gables, Florida, with an office in Haifa, Israel, optimizes and translates data into information that healthcare business stakeholders can use to turn conceptual strategies into practical operations.
 
To speak to Meidar-Alfi about this map or to learn more about how Spatially Health stands at the forefront of data analytics and spatial intelligence, visit SpatiallyHealth.com or connect with @SpatiallyHealth on LinkedIn, Twitter, Instagram and YouTube.