Kinsa Health, which produces internet-connected thermometers, utilized their user data to create a national map of fever levels in late March and noticed the trend of a slower rate of infection due to social distancing almost immediately. Since then, data from New York State and Washington State have supported the hypothesis.
State Scoop: 5 Ways Maps Can Help Communities Respond to COVID-19
While the United States waits for increased testing capability for COVID-19, this article highlights ways maps can be used to help local city officials to both track and fight against the novel coronavirus in their communities. The tips include mapping the spread of the virus, mapping potential vulnerable populations, and communicating to the public through maps.
As public transportation usage in metropolitan cities across the country plummets due to social distancing efforts, mobility data on current ridership can help city officials ascertain what level of service is adequate to both allow for riders to social distance as well as alleviate risk to bus drivers and train operators.
In this article, David Eaves, a lecturer in public policy at the Harvard Kennedy School, highlights the lessons learned from conversations with chief data officers from several European capital cities on how they are dealing with the novel coronavirus. Among them are: sharing best practices by sharing your code, utilizing data strategically as it may become part of the crisis-response infrastructure moving forward, and enabling all city employees to work remotely.
In the Bay Area, early data shows that the absence of cars and traffic on highways due to the stay-at-home order in California to mitigate COVID-19 has greatly impacted the air quality in the region. While researchers are in early stages of collecting this data, it could prove useful as a starting point for policymakers as they consider options to reduce traffic congestion in order to reduce levels of climate warming gases.
This article highlights how different hospitals are putting artificial intelligence to use in identifying and combating the new coronavirus around the world. Artificial intelligence has been used to: screen individuals who might be infected, identify high-risk patients, screen healthcare workers for symptoms, distinguish COVID-19 from other illnesses, and track hospital beds and medical supplies among other uses.