load_reg_data function

Parsing of raw data for regional ILI estimation

Parsing of raw data for regional ILI estimation

load_reg_data( gt.folder, ili.folder, population.file, gft.file, gt.parser = gt.parser.pub.web )

Arguments

  • gt.folder: folder with all Google Trends data
  • ili.folder: folder with all ILI data
  • population.file: csv file path with state population data
  • gft.file: csv file path for Google Flu Trends
  • gt.parser: Google Trends data parser function, could be gt.parser.pub.web or gt.parser.pub.api

Examples

download.file("https://scholar.harvard.edu/files/syang/files/gt2016-10-24.zip", file.path(tempdir(), "gt2016-10-24.zip")) unzip(file.path(tempdir(), "gt2016-10-24.zip"), exdir = tempdir()) gt.folder <- file.path(tempdir(), "2016-10-19") data_parsed <- load_reg_data( gt.folder=gt.folder, ili.folder=system.file("regiondata", "ili20161121", package = "argo"), population.file=system.file("regiondata", "Population.csv", package = "argo"), gft.file=system.file("regiondata", "GFT.txt", package = "argo") )

References

Shaoyang Ning, Shihao Yang, S. C. Kou. Accurate Regional Influenza Epidemics Tracking Using Internet Search Data. Scientific Reports

  • Maintainer: Shihao Yang
  • License: GPL-2
  • Last published: 2023-05-24

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