01166nas a2200445   4500000000100000000000100001008004100002653001300043653001700056653002300073653002400096653001800120100001400138700001600152700001300168700001100181700001600192700001700208700001300225700001300238700001400251700001400265700001600279700001500295700001400310700001300324700001400337700001300351700001400364700001300378700001400391700001500405700001700420700001400437700001600451245020300467250001500670300002100685020001400706       2022                            d10aClinical10aepidemiology10ahealth informatics10ainfectious diseases10apublic health1 aM. Mizani1 aA. Dashtban1 aL. Pasea1 aA. Lai1 aJ. Thygesen1 aC. Tomlinson1 aA. Handy1 aJ. Mamza1 aT. Morris1 aS. Khalid1 aF. Zaccardi1 aM. Macleod1 aF. Torabi1 aD. Canoy1 aA. Akbari1 aC. Berry1 aT. Bolton1 aJ. Nolan1 aK. Khunti1 aS. Denaxas1 aH. Hemingway1 aC. Sudlow1 aA. Banerjee00aUsing national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study  a2022/11/15  a1410768221131897  a0141-0768