Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Infodemiology of Influenza-like Illness: Utilizing Google Trends’ Big Data for Epidemic Surveillance

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • بيانات النشر:
      MDPI AG, 2024.
    • الموضوع:
      2024
    • Collection:
      LCC:Medicine
    • نبذة مختصرة :
      Background: Influenza-like illness (ILI) encompasses symptoms similar to influenza, affecting population health. Surveillance, including Google Trends (GT), offers insights into epidemic patterns. Methods: This study used multiple regression models to analyze the correlation between ILI incidents, GT keyword searches, and climate variables during influenza outbreaks. It compared the predictive capabilities of time-series and deep learning models against ILI emergency incidents. Results: The GT searches for “fever” and “cough” were significantly associated with ILI cases (p < 0.05). Temperature had a more substantial impact on ILI incidence than humidity. Among the tested models, ARIMA provided the best predictive power. Conclusions: GT and climate data can forecast ILI trends, aiding governmental decision making. Temperature is a crucial predictor, and ARIMA models excel in forecasting ILI incidences.
    • File Description:
      electronic resource
    • ISSN:
      2077-0383
    • Relation:
      https://www.mdpi.com/2077-0383/13/7/1946; https://doaj.org/toc/2077-0383
    • الرقم المعرف:
      10.3390/jcm13071946
    • الرقم المعرف:
      edsdoj.8f8b68656738402796e5ef9d3a8a41ee