Data for: Revaccination with measles-mumps-rubella vaccine and hospitalization for infection in Denmark and Sweden - an interrupted time-series analysis

Datasets: 1) analysis_data_MMR2_int_4seasons_poison_Denmark.csv 2) analysis_data_MMR2_int_4seasons_poison_Sweden.csv 3) analysis_data_MMR2_int_4seasons_poison_Denmark_female.csv 4) analysis_data_MMR2_int_4seasons_poison_Sweden_females.csv 5) analysis_data_MMR2_int_4seasons_poison_Denmark_male.csv 6) analysis_data_MMR2_int_4seasons_poison_Sweden_males.csv Notes about the datasets from Denmark (1, 3, and 5): The variable “pyrs” give the number of person years at risk: authors own calculations based on data from publicly available data from Statistics Denmark (https://www.statbank.dk/FOLK2). The variable “dur2” give the number of events (hospitalizations for infections lasting two days or longer), which is estimated by the authors based on individual level data obtained through Statistics Denmark and the Danish Health Data Authority. Notes about the datasets from Sweden (2, 4, and 6): The variable “pyrs” give the number of person years at risk: authors own calculations based on data from publicly available data from Statistics Sweden (http://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__BE__BE0101__BE0101A/BefolkningNy/?rxid=f5bf3beb). The variable “dur2” give the number of events (hospitalizations for infections lasting two days or longer), which is estimated by the authors based on individual level data obtained from Statistics Sweden and the patient registry administered by the National Board of Health and Welfare. R scripts for running the analyses: 1) MMR2_ITS_analysis_both_sexes.R 2) MMR2_ITS_analysis_females.R 3) MMR2_ITS_analysis_males.R Script 1 is used for the analyses for both sexes combined and uses datasets 1 and 2. Script 2 is used for the analyses for females and uses datasets 3 and 4. Script 3 is used for the analyses for males and uses datasets 5 and 6. Please note that in all scripts you should search for “NOTE 1” and check if you have all needed packages installed. Please note that in all scripts you should search for “NOTE 2” and insert the relevant destination and file names.

本次数据集共计包含以下6份文件：1) analysis_data_MMR2_int_4seasons_poison_Denmark.csv；2) analysis_data_MMR2_int_4seasons_poison_Sweden.csv；3) analysis_data_MMR2_int_4seasons_poison_Denmark_female.csv；4) analysis_data_MMR2_int_4seasons_poison_Sweden_females.csv；5) analysis_data_MMR2_int_4seasons_poison_Denmark_male.csv；6) analysis_data_MMR2_int_4seasons_poison_Sweden_males.csv。
关于丹麦数据集（编号1、3、5）的说明：变量`pyrs`为人年暴露数（person years at risk），由研究者基于丹麦统计局（Statistics Denmark，https://www.statbank.dk/FOLK2）的公开数据自行计算得到；变量`dur2`为病程≥2天的感染住院事件数，由研究者通过丹麦统计局与丹麦卫生数据管理局获取的个体层面数据（individual level data）估算得出。
关于瑞典数据集（编号2、4、6）的说明：变量`pyrs`为人年暴露数（person years at risk），由研究者基于瑞典统计局（Statistics Sweden，http://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__BE__BE0101__BE0101A/BefolkningNy/?rxid=f5bf3beb）的公开数据自行计算得到；变量`dur2`为病程≥2天的感染住院事件数，由研究者通过瑞典统计局与瑞典国家卫生与福利委员会（National Board of Health and Welfare）管理的患者登记库获取的个体层面数据（individual level data）估算得出。
用于执行本研究分析的R脚本包括：1) MMR2_ITS_analysis_both_sexes.R；2) MMR2_ITS_analysis_females.R；3) MMR2_ITS_analysis_males.R。其中，脚本1用于全性别合并分析，对应数据集1与2；脚本2用于女性群体分析，对应数据集3与4；脚本3用于男性群体分析，对应数据集5与6。
请注意，所有脚本中均需搜索“NOTE 1”，确认已安装全部所需依赖包；同时需搜索“NOTE 2”，插入对应的目标路径与文件名。