Discover

Topics

COVID Control - A Johns Hopkins University Study

COVID Control - A Johns Hopkins University Study version history

‹ General Info
Version 2.0
Updated 4 years ago
Changelog COVID Control - A Johns Hopkins University Study is a new surveillance tool for COVID-19 based on self-reported body temperatures and, optionally, other symptoms, from users around the country, using a user-friendly app. By using spatial science analytics applied to these data we will identify anomalous increases in body temperatures and generate real-time, pre-clinical, risk estimates of potential COVID-19 outbreaks.
Version 1.3
Updated 4 years ago
Changelog COVID Control - A Johns Hopkins University Study is a new surveillance tool for COVID-19 based on self-reported body temperatures and, optionally, other symptoms, from users around the country, using a user-friendly app. By using spatial science analytics applied to these data we will identify anomalous increases in body temperatures and generate real-time, pre-clinical, risk estimates of potential COVID-19 outbreaks.
Version 1.2
Updated 4 years ago
Changelog COVID Control - A Johns Hopkins University Study is a new surveillance tool for COVID-19 based on self-reported body temperatures and, optionally, other symptoms, from users around the country, using a user-friendly app. By using spatial science analytics applied to these data we will identify anomalous increases in body temperatures and generate real-time, pre-clinical, risk estimates of potential COVID-19 outbreaks.
Version 1.1
Updated 4 years ago
Changelog COVID Control - A Johns Hopkins University Study is a new surveillance tool for COVID-19 based on self-reported body temperatures and, optionally, other symptoms, from users around the country using a user-friendly app. By using spatial science analytics applied to these data we will identify anomalous increases in body temperatures and generate real-time, pre-clinical, risk estimates of potential COVID-19 outbreaks.
Version 1.0
Updated 4 years ago
Changelog COVID Control - A Johns Hopkins University Study is a new surveillance tool for COVID-19 based on self-reported body temperatures and, optionally, other symptoms, from users around the country using a user-friendly app. By using spatial science analytics applied to these data we will identify anomalous increases in body temperatures and generate real-time, pre-clinical, risk estimates of potential COVID-19 outbreaks.
Version 3.3 (2 variants)
Updated 2 years ago
Changelog You can now add extra profiles and submit for other people of your household. It is also possible for you to check the impact of your daily submissions, and get badges as you keep using the COVID Control app.