Literature DB >> 31969046

Assessing the utility of a smart thermometer and mobile application as a surveillance tool for influenza and influenza-like illness.

Sarah F Ackley1, Sarah Pilewski, Vladimir S Petrovic2, Lee Worden1, Erin Murray3, Travis C Porco1.   

Abstract

Kinsa Inc. sells Food and Drug Administration-cleared smart thermometers, which synchronize with a mobile application, and may aid influenza forecasting efforts. We compare smart thermometer and mobile application data to regional influenza and influenza-like illness surveillance data from the California Department of Public Health. We evaluated the correlation between the regional California surveillance data and smart thermometer data, tested the hypothesis that smart thermometer readings and symptom reports provide regionally specific predictions, and determined whether smart thermometer and mobile application improved disease forecasts. Smart thermometer readings are highly correlated with regional surveillance data, are more predictive of surveillance data for their own region and season than for other times and places, and improve predictions of influenza, but not predictions of influenza-like illness. These results are consistent with the hypothesis that smart thermometer readings and symptom reports reflect underlying disease transmission in California. Data from such cloud-based devices could supplement syndromic influenza surveillance data.

Entities:  

Keywords:  crowdsourced data; disease surveillance; forecasting; influenza; influenza-like illness

Mesh:

Year:  2020        PMID: 31969046     DOI: 10.1177/1460458219897152

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  7 in total

Review 1.  Influenza surveillance systems using traditional and alternative sources of data: A scoping review.

Authors:  Aspen Hammond; John J Kim; Holly Sadler; Katelijn Vandemaele
Journal:  Influenza Other Respir Viruses       Date:  2022-09-08       Impact factor: 5.606

Review 2.  Prevalence of Asymptomatic SARS-CoV-2 Infection : A Narrative Review.

Authors:  Daniel P Oran; Eric J Topol
Journal:  Ann Intern Med       Date:  2020-06-03       Impact factor: 25.391

Review 3.  Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review.

Authors:  Felix Nikolaus Wirth; Marco Johns; Thierry Meurers; Fabian Prasser
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-10       Impact factor: 4.773

4.  Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment-data from Hubei in China.

Authors:  Sulin Pang; Jiaqi Wu; Yinhua Lu
Journal:  Pers Ubiquitous Comput       Date:  2021-01-09       Impact factor: 3.006

5.  An IoT Framework for Screening of COVID-19 Using Real-Time Data from Wearable Sensors.

Authors:  Hamid Mukhtar; Saeed Rubaiee; Moez Krichen; Roobaea Alroobaea
Journal:  Int J Environ Res Public Health       Date:  2021-04-12       Impact factor: 3.390

6.  Epidemic tracking and forecasting: Lessons learned from a tumultuous year.

Authors:  Roni Rosenfeld; Ryan J Tibshirani
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-21       Impact factor: 12.779

7.  Circulating Illness and Changes in Thermometer Use Behavior: Series of Cross-sectional Analyses.

Authors:  Jack Seifarth; Megan Pinaire; John Zicker; Inder Singh; Danielle Bloch
Journal:  JMIR Form Res       Date:  2022-09-08
  7 in total

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