A Smartphone-Driven Thermometer Application for Real-time Population- and Individual-Level Influenza Surveillance

Miller, Aaron; Singh, Inder; Koehler, E.K.; Polgreen, Philip M.

doi:10.1093/cid/ciy073

Cited by 59 publications

(59 citation statements)

References 36 publications

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“…For example, Fitbit devices have been used to inform timely and accurate models of population-level influenza trends [12]. Additionally, smart thermometers have provided a novel source of information for influenza surveillance and forecasting [13].…”

Section: Surveillancementioning

confidence: 99%

The Use of Digital Health in the Detection and Management of COVID-19

Alwashmi

2020

IJERPH

147

118

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Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.

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Section: Surveillancementioning

confidence: 99%

The Use of Digital Health in the Detection and Management of COVID-19

Alwashmi

2020

IJERPH

147

118

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“…Temperature readings outside of the range 34°C-43°C were not categorized as fever or non-fever readings. 8 Multiple readings and records from a single user (or device, if user was not specified) for a given week were collapsed into a single reading or record indicating whether a fever or symptom occurred at any point during that week, as defined by the CDC weekending date. Number of temperature readings, fevers, and symptom reports were aggregated by week.…”

Section: Smart Thermometer and Mobile Application Datamentioning

confidence: 99%

“…The potential for participatory surveillance for monitoring ILI has been explored in other settings 4,5,6 and in-the-field thermometers have been used for disease monitoring in school children in China. 7 Previous work has shown that smart thermometer readings from the Kinsa application can improve ILI forecasts using national Centers for Disease Control (CDC) data, 8 and we aim to extend this work for influenza and smaller geographic regions. The data collected from temperature readings and user-provided symptom reports from the Kinsa application may be informative for influenza forecasting efforts.…”

Section: Introductionmentioning

confidence: 99%

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

Ackley

Pilewski²,

Petrović³

et al. 2020

Health Informatics J

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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.

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“…A 2018 study suggested that a smartphone-driven thermometry application correlated well with national infl uenza-like illness activity and improved its forecast in real time and up to 3 weeks in advance. 11…”

Section: Obesity a Risk Factor For Infl Uenzamentioning

confidence: 99%

Influenza update 2018–2019: 100 years after the great pandemic

Mossad

2018

CCJM

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T his year marks the centennial of the 1918 infl uenza pandemic, which killed 50 million people worldwide. Three more infl uenza pandemics and annual epidemics have occurred since then, with other signifi cant interim events (Table 1). 1 The 2017-2018 epidemic was particularly severe and long. 2 This centennial year update focuses primarily on immunization, but also reviews epidemiology, transmission, and treatment. ■ EPIDEMIOLOGY 2017-2018 was a bad season The 2017-2018 infl uenza epidemic was memorable, dominated by infl uenza A(H3N2) viruses with morbidity and mortality rates approaching pandemic numbers. It lasted 19 weeks, killed more people than any other epidemic since 2010, particularly children, and was associated with 30,453 hospitalizationsalmost twice the previous season high in some parts of the United States. 2 Regrettably, 171 unvaccinated children died during 2017-2018, accounting for almost 80% of deaths. 2 The mean age of the children who died was 7.1 years; 51% had at least 1 underlying medical condition placing them at risk for infl uenza-related complications, and 57% died after hospitalization. 2 Recent estimates of the incidence of symptomatic infl uenza among all ages ranged from 3% to 11%, which is slightly lower than historical estimates. The rates were higher for children under age 18 than for adults. 3 Interestingly, infl uenza A(H3N2) accounted for 50% of cases of non-mumps viral parotitis during the 2014-2015 infl uenza season in the United States. 4

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A Smartphone-Driven Thermometer Application for Real-time Population- and Individual-Level Influenza Surveillance

Cited by 59 publications

References 36 publications

The Use of Digital Health in the Detection and Management of COVID-19

The Use of Digital Health in the Detection and Management of COVID-19

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

Influenza update 2018–2019: 100 years after the great pandemic

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