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 ...
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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
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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 |