Forecasting HFMD Cases Using Weather Variables and Google Search Queries in Sabah, Malaysia

HFMD is a viral-mediated infectious illness of increasing public health importance. This study aimed to develop a forecasting tool utilizing climatic predictors and internet search queries for informing preventive strategies in Sabah, Malaysia. HFMD case data from the Sabah State Health Department, climatic predictors from the Malaysia Meteorological Department, and Google search trends from the Google trends platform between the years 2010–2018 were utilized. Cross-correlations were estimated in building a seasonal auto-regressive moving average (SARIMA) model with external regressors, direct... Mehr ...

Verfasser: Vivek Jason Jayaraj
Victor Chee Wai Hoe
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: International Journal of Environmental Research and Public Health, Vol 19, Iss 16880, p 16880 (2022)
Verlag/Hrsg.: MDPI AG
Schlagwörter: coxsackie / EV71 / prediction model / meteorology / Google trends / ARIMA / Medicine / R
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26861854
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3390/ijerph192416880