Testing sites, medical services, and food distribution centers can now be located in areas where the most vulnerable people
Globally, to this date – 1st of April – the coronavirus pandemic has spread to close to 900,000 people and killed 43,535. In three months, the novel virus has occupied global consciousness and changed our day-to-day life almost all over the world.
Considering the hardship humanity is currently facing, in collaboration with Fontis Technologies, Ecoten have decided to share with the city of New York a way to identify areas with high densities of adults over 65: a high-risk population according to the C.D.C. (Centers for Disease Control and Prevention). Older adults, as well as people who have severe underlying chronic medical conditions, are at higher risk for developing more serious complications from COVID-19. 8 out of 10 deaths reported in the U.S. have been in adults 65 years old and older. Among adults with confirmed COVID-19 reported in the U.S., the C.D.C. has brought up some staggering figures highlighting senior citizens’ vulnerability. New York has been the hardest hit state in the country, recording more cases of the coronavirus than South Korea, France or Switzerland, according to data from Johns Hopkins University.
ECOTEN, is convinced that protecting society’s most vulnerable is essential. As part of our Urban Heat Vulnerability assessment for cities, they identify the vulnerable populations using satellite imagery and demographic data. In response to the pandemic, Ecoten felt they had to take action by sharing their insights and providing our COVID-19 Sensitivity Maps to allow decision-makers to know more precisely where to locate temporary emergency services.
Testing sites, medical services, and food distribution centers can now be located in areas where the most vulnerable people – often the least mobile – can reach more easily at times of possible lockdowns, quarantines, public transport disruptions, and where first responders may be needed the most.
The more scientists know about the virus, the better we can determine at-risk populations criterias. Relying on data that cities can provide us with, we could identify accurately and distinguish the different vulnerable groups towards COVID-19.