Frequently Asked Questions

Why did you change the map?

We've updated HealthWeather to be more actionable and easy to understand. It leverages a new model, powered by a combination of Kinsa's unique data with COVID-19 case data from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, to make predictions about where COVID-19 cases growth is likely to accelerate. For details about our modeling approach, please review our technical approach document.

How many users does Kinsa have?

Kinsa’s illness signal consists of data from over 1,300,000 thermometers with 60,000-160,000 readings driving our signal every day. To learn more about the demographics of Kinsa users see our blog post on the subject.

How often is the model updated?

The model, and the map on, are updated nightly.

Where can I learn more about your scientific methods?

For details about our modeling approach, please review our technical approach document.

For additional information, see our technical appendix here.

For prior work with others, and peer-reviewed publications, see

How can I get in touch with you?

Do you work in public health, media, or at a business and want to explore a partnership with Kinsa? You can contact us here.

Information about our data privacy. 

Kinsa takes individual privacy extremely seriously, and never shares individual health information. We strongly believe that there is a way to protect the individual user’s privacy, while also aggregating data for the greater good. The data that drives is composed of population level insights, so communities and healthcare systems can know where outbreaks are occurring. See Kinsa’s privacy principle for more information.


2Miller AC, Singh I, Koehler E, Polgreen PM. A Smartphone-Driven Thermometer Application for Real-time Population- and Individual-Level Influenza Surveillance. Clin Infect Dis. 2018;67:388–97.