UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records

[1] Clift AK(2020)Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study BMJ. 371 m3731-1725

[2] Coupland CAC(2020)Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO clinical characterisation protocol: prospective observational cohort study BMJ. 369 m1985-836

[3] Keogh RH(2019)Immunosenescence and human vaccine immune responses Immun Ageing 16 25-14

[4] Diaz-Ordaz K(2020)Adults at high-risk of severe coronavirus disease-2019 (Covid-19) in Brazil Rev Saude Publica 54 50-933

[5] Williamson E(2020)Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study Lancet. 395 1715-451

[6] Harrison EM(2015)Data resource profile: clinical practice research Datalink (CPRD) Int J Epidemiol 44 827-735

[7] Docherty AB(2010)Validation and validity of diagnoses in the general practice research database: a systematic review Br J Clin Pharmacol 69 4-1816

[8] Harrison EM(2017)Data Resource Profile: Hospital Episode Statistics Admitted Patient Care (HES APC) Int J Epidemiol 46 1093-438

[9] Green CA(2019)Methods to generate and validate a pregnancy register in the UK clinical practice research Datalink primary care database Pharmacoepidemiol Drug Saf 28 923-undefined

[10] Hardwick HE(2005)The relationship between time since registration and measured incidence rates in the general practice research database Pharmacoepidemiol Drug Saf 14 443-undefined

[1] Clift AK(2020)Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study BMJ. 371 m3731-1725

[2] Coupland CAC(2020)Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO clinical characterisation protocol: prospective observational cohort study BMJ. 369 m1985-836

[3] Keogh RH(2019)Immunosenescence and human vaccine immune responses Immun Ageing 16 25-14

[4] Diaz-Ordaz K(2020)Adults at high-risk of severe coronavirus disease-2019 (Covid-19) in Brazil Rev Saude Publica 54 50-933

[5] Williamson E(2020)Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study Lancet. 395 1715-451

[6] Harrison EM(2015)Data resource profile: clinical practice research Datalink (CPRD) Int J Epidemiol 44 827-735

[7] Docherty AB(2010)Validation and validity of diagnoses in the general practice research database: a systematic review Br J Clin Pharmacol 69 4-1816

[8] Harrison EM(2017)Data Resource Profile: Hospital Episode Statistics Admitted Patient Care (HES APC) Int J Epidemiol 46 1093-438

[9] Green CA(2019)Methods to generate and validate a pregnancy register in the UK clinical practice research Datalink primary care database Pharmacoepidemiol Drug Saf 28 923-undefined

[10] Hardwick HE(2005)The relationship between time since registration and measured incidence rates in the general practice research database Pharmacoepidemiol Drug Saf 14 443-undefined