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Observational Study
. 2024 Feb;114(2):218-225.
doi: 10.2105/AJPH.2023.307499.

Use of Telehealth Information for Early Detection: Insights From the COVID-19 Pandemic

Affiliations
Observational Study

Use of Telehealth Information for Early Detection: Insights From the COVID-19 Pandemic

Steven Haenchen et al. Am J Public Health. 2024 Feb.

Abstract

Objectives. To examine whether the addition of telehealth data to existing surveillance infrastructure can improve forecasts of cases and mortality. Methods. In this observational study, we compared accuracy of 14-day forecasts using real-time data available to the National Syndromic Surveillance Program (standard forecasts) to forecasts that also included telehealth information (telehealth forecasts). The study was performed in a national telehealth service provider in 2020 serving 50 US states and the District of Columbia. Results. Among 10.5 million telemedicine encounters, 169 672 probable COVID-19 cases were diagnosed by 5050 clinicians, with a rate between 0.79 and 47.8 probable cases per 100 000 encounters per day (mean = 8.37; SD = 10.75). Publicly reported case counts ranged from 0.5 to 237 916 (mean: 53 913; SD = 47 466) and 0 to 2328 deaths (mean = 1035; SD = 550) per day. Telehealth-based forecasts improved 14-day case forecasting accuracy by 1.8 percentage points to 30.9% (P = .06) and mortality forecasting by 6.4 percentage points to 26.9% (P < .048). Conclusions. Modest improvements in forecasting can be gained from adding telehealth data to syndromic surveillance infrastructure. (Am J Public Health. 2024;114(2):218-225. https://doi.org/10.2105/AJPH.2023.307499).

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Figures

FIGURE 1—
FIGURE 1—
Study Design, Comparison Between Accuracy of Standard Forecasts Using Historical Test-Confirmed Cases (or Deaths) Versus Adding Telehealth Data to Test-Confirmed Cases to Generate Telehealth Forecasts
FIGURE 2—
FIGURE 2—
Observed Versus Forecasted COVID-19 Cases and Deaths: United States, 2020

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References

    1. Centers for Disease Control and Prevention. Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) operations and maintenance support. Available at: https://sam.gov/opp/7951d04b4cc747bcad0a94dd92f83135/view?index=opp&naic.... Accessed November 22, 2021.
    1. COVID-19 ForecastHub. About the Hub. Available at : https://covid19forecasthub.org/doc . Accessed November 24, 2021. .
    1. Burkom H , Loschen W , Wojcik R , et al. Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE): overview, components, and public health applications. JMIR Public Health Surveill. 2021;7(6): e26303. 10.2196/26303 - DOI - PMC - PubMed
    1. Centers for Disease Control and Prevention. National Syndromic Surveillance Program. Overview . August 19, 2021. . Available at: https://www.cdc.gov/nssp/overview.html . Accessed October 24, 2021.
    1. Marsden-Haug N , Foster VB , Gould PL , Elbert E , Wang H , Pavlin JA. Code-based syndromic surveillance for influenzalike illness by International Classification of Diseases, Ninth Revision. Emerg Infect Dis. 2007;13(2):207–216. 10.3201/eid1302.060557 - DOI - PMC - PubMed

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