load_reg_data {argo}

Parsing of raw data for regional ILI estimation

Description

Parsing of raw data for regional ILI estimation

Usage

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'

References

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

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")
)