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 )
gt.folder
: folder with all Google Trends dataili.folder
: folder with all ILI datapopulation.file
: csv file path with state population datagft.file
: csv file path for Google Flu Trendsgt.parser
: Google Trends data parser function, could be gt.parser.pub.web
or gt.parser.pub.api
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") )
Shaoyang Ning, Shihao Yang, S. C. Kou. Accurate Regional Influenza Epidemics Tracking Using Internet Search Data. Scientific Reports
Useful links