A selection of peer reviewed publications on the Kinsa system.

Breakthrough science (COVID-19 detection/ tracking, and long-lead flu forecasting)*

Source: Real-time detection of COVID-19 epicenters within the United States using a network of smart thermometers; Kinsa and Oregon State University study*
Source: Long-range local influenza forecasts via distributed syndromic monitoring: preliminary results; Kinsa and Oregon State University study*
Source: COVID-19 Rapid Case Growth Prediction Technical Approach; Kinsa*

Other recent publications on COVID-19 detection/ tracking*

Source: An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time; Harvard University study*
Source: Fever and mobility data indicate social distancing has reduced incidence of communicable disease in the United States; Harvard University study*
Source: Fever-related data as early indicator of COVID-19 outbreaks; University of Nebraska-Lincoln study*
Source: An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time

Peer-reviewed papers prior to COVID-19 showing the utility of Kinsa data for flu forecasting

Source: A Smartphone-Driven Thermometer Application for Real-time Population- and Individual-Level Influenza Surveillance; University of Iowa and Kinsa
Source: Real-time Local Influenza Forecasting using Smartphone-Connected Thermometer Readings; University of Iowa and Kinsa
Source: Improving State-Level Influenza Surveillance by Incorporating Real-Time Smartphone-Connected Thermometer Readings Across Different Geographic Domains; University of Iowa and Kinsa
Source: Assessing the utility of a smart thermometer and mobile application as a surveillance tool for influenza and influenza-like illness; UCSF and Kinsa