Factors associated with COVID-19-related death using OpenSAFELY.
Elizabeth J Williamson, Alex J Walker, Krishnan Bhaskaran, Seb Bacon, Chris Bates, Caroline E Morton, Helen J Curtis, Amir Mehrkar, David Evans, Peter Inglesby, Jonathan Cockburn, Helen I McDonald, Brian MacKenna, Laurie Tomlinson, Ian J Douglas
August 2020Synopsis of Social media discussions
Numerous discussions cite specific findings from the OpenSAFELY study, such as the heightened risk of COVID-19-related death for individuals over 80 years being 20 times greater than for those aged 50-59. Posts frequently use urgent language, emphasizing sentiments like 'tremendous effort, valuable insights!' suggesting the implications of the research are deeply felt. The tone is often analytical, with phrases such as 'this study highlights the independent association of CKD with COVID-19 mortality,' contributing to the overall perception of importance and relevance in the ongoing public health discourse.
Agreement
Moderate agreementMost discussions reflect a general consensus on the validity of the publication's findings regarding COVID-19 mortality factors.
Interest
High level of interestThere is a high level of curiosity about the study, as many users cite specific findings and implications from the research.
Engagement
Moderate level of engagementWhile engagement is mostly analytical, some discussions delve into critiques and comparisons with other studies, indicating moderate interest.
Impact
High level of impactThere is a strong belief that the publication's findings contribute significantly to understanding COVID-19 risk factors.
Social Mentions
YouTube
2 Videos
Bluesky
1 Posts
14 Posts
82 Posts
Blogs
40 Articles
News
282 Articles
4 Posts
Metrics
Video Views
192
Total Likes
121
Extended Reach
1,295,345
Social Features
425
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
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@NickHudsonCT @ShaulaetLesath @YouWhat1715936 @curlsforgurls OpenSAFELY: factors associated with COVID-19 death in 17 million patients Hazard Ratios - Comorbidities https://t.co/SLvAKfXZDs
view full postDecember 3, 2023
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Adam Cochran (adamscochran.eth)
@adamscochran (Twitter)@WagecuckR The man claims the US is making race based bioweapons, misuses the term on FURIN sites, and claims it impacted Chinese people less, when studies show it did not: https://t.co/K9t5K13UNN
view full postJuly 15, 2023
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Adam Cochran (adamscochran.eth)
@adamscochran (Twitter)@brbtherooster https://t.co/K9t5K13UNN The race based studies out there actually overwhelmingly disagree with him too.
view full postJuly 15, 2023
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Adam Cochran (adamscochran.eth)
@adamscochran (Twitter)@0xJoshuaSL Nope, unless you want to factor in that Israel was super aggressive on vaccine roll out early maybe? Also his claim on Asian population doesn't hold weight either as UK found: https://t.co/K9t5K13UNN
view full postJuly 15, 2023
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Adam Cochran (adamscochran.eth)
@adamscochran (Twitter)@DeFiSurfer808 I mean I don't know the claim that the US is targeting "ethnically targeted bioweapons" is something that is redeeming? But also: 1) Furin site not engineered: https://t.co/kju4vBl0WY 2) Chinese rates just as high or higher: https://t.co/K9t5K13UNN
view full postJuly 15, 2023
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Amy Grove
@mygrove (Twitter)RT @missingsnowman: @DrAseemMalhotra 100%. In this case however he is lying. #OpenSAFELY project had produced very high quality stratified…
view full postApril 18, 2023
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Missingsnowman ☃
@missingsnowman (Twitter)RT @missingsnowman: @DrAseemMalhotra 100%. In this case however he is lying. #OpenSAFELY project had produced very high quality stratified…
view full postApril 18, 2023
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Missingsnowman ☃
@missingsnowman (Twitter)@DrAseemMalhotra 100%. In this case however he is lying. #OpenSAFELY project had produced very high quality stratified risk data by age & comorbidity. Williamson, E. J. et al. Factors associated with COVID-19-related death using OpenSAFELY. [July 8 2020] https://t.co/Faio1qeLZD
view full postApril 18, 2023
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Missingsnowman ☃
@missingsnowman (Twitter)@vigne_k @piersmorgan Williamson, E. J. et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 584, 430–436 (2020). [July 8 2020] https://t.co/PSrUDABiVS https://t.co/Faio1qeLZD https://t.co/IPs5HeVuWO
view full postMarch 23, 2023
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Missingsnowman ☃
@missingsnowman (Twitter)RT @missingsnowman: @CMO_England Perhaps you'd like to add the actual URL to the OpenSAFELY paper showing young people were never at risk.…
view full postMarch 17, 2023
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Missingsnowman ☃
@missingsnowman (Twitter)RT @missingsnowman: @CMO_England Perhaps you'd like to add the actual URL to the OpenSAFELY paper showing young people were never at risk.…
view full postDecember 1, 2022
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Missingsnowman ☃
@missingsnowman (Twitter)@CMO_England Perhaps you'd like to add the actual URL to the OpenSAFELY paper showing young people were never at risk. #Reference4 #OpenSAFELY #AgeStratified Factors associated with COVID-19-related death using OpenSAFELY - 2020;584(7821):430-436 https://t.co/Faio1qfjPb https://t.co/c20La8jryB
view full postDecember 1, 2022
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Jess Morley
@jessrmorley.bsky.social (Bluesky)1.the original Nature paper ‘factors associated with COVID-19 related death’: https://www.nature.com/articles/s41586-020-2521-4
view full postMay 6, 2022
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Dr.Vimoj J. Nair MBBS MD MSc FRCPC
@drvimojnair (Twitter)Factors associated with COVID-19-related death using OpenSAFELY https://t.co/T7qBGmRNzF
view full postDecember 19, 2021
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ao5884
@ao58841 (Twitter)@CstultzUX @SADl819 @Timcast No im saying that until you account for all variables you cannot measure impact of a single variable. for example https://t.co/B5hVQw2Mcr
view full postDecember 17, 2021
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itisallinmy_hEDS
@VIoletTailor (Twitter)RT @healthmisinfo: Being 10 years older associated with an increased risk many times greater than class II obesity (BMI 35-40). The same fo…
view full postOctober 23, 2021
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itisallinmy_hEDS
@VIoletTailor (Twitter)RT @healthmisinfo: In this same study, class I obesity (BMI 30-35) showed no increased risk vs. normal weight. https://t.co/WTk4k8ednn htt…
view full postOctober 23, 2021
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itisallinmy_hEDS
@VIoletTailor (Twitter)RT @healthmisinfo: This is confirmed by a massive, 17 million-person study out of Oxford. This study found only a 1.92 higher risk of deat…
view full postOctober 23, 2021
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Public Health Initiative Against Misinformation
@healthmisinfo (Twitter)Being 10 years older associated with an increased risk many times greater than class II obesity (BMI 35-40). The same for simply being male. https://t.co/WTk4k8ednn https://t.co/0dZMKdzC0N
view full postSeptember 2, 2021
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Public Health Initiative Against Misinformation
@healthmisinfo (Twitter)In this same study, class I obesity (BMI 30-35) showed no increased risk vs. normal weight. https://t.co/WTk4k8ednn https://t.co/KkGYwUdyJ2
view full postSeptember 2, 2021
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Public Health Initiative Against Misinformation
@healthmisinfo (Twitter)This is confirmed by a massive, 17 million-person study out of Oxford. This study found only a 1.92 higher risk of death from COVID from class III obesity (BMI >40). https://t.co/WTk4k8ednn https://t.co/xYieP7DByl
view full postSeptember 2, 2021
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Peter Salvatori
@pjsalvatori (Twitter)@investwiselyfo1 @Davret1 @KathleenRuns @ChristinaPushaw Seems high. Post a link to your source. You should research "hazard ratios". https://t.co/3EzXw8b06M
view full postAugust 30, 2021
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PF Anderson @pfanderson@disabled.social
@pfanderson (Twitter)Factors associated with COVID-19-related death using OpenSAFELY https://t.co/3uwMgsPS4V
view full postAugust 6, 2021
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藤原悠馬
@honoiro2021 (Twitter)<喫煙はコロナ死亡リスクを上げません> コロナ死因リスクを調査した、世界最大規模のイギリスでのコホート研究が昨年ネイチャーに発表されています。 結果、肥満や糖尿病は当然ながら強いリスク因子ですが、喫煙はコロナ死亡のリスク因子ではありませんでした。 https://t.co/0C1VR8c9P0
view full postJuly 16, 2021
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Isatou Sarr
@IsatouSarr4 (Twitter)Factors associated with COVID-19-related death using OpenSAFELY https://t.co/whB7FIgFn4
view full postApril 1, 2021
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Isatou Sarr
@IsatouSarr4 (Twitter)we will update and extend our results regularly. https://t.co/whB7FIgFn4
view full postMarch 22, 2021
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Ash Paul
@pash22 (Twitter)RT @Laconic_doc: @ralanshirley @felly500 The OpenSAFELY data suggested age was way greater than other factors after multivariate logistical…
view full postFebruary 10, 2021
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Alan Shirley
@ralanshirley (Twitter)RT @Laconic_doc: @ralanshirley @felly500 The OpenSAFELY data suggested age was way greater than other factors after multivariate logistical…
view full postFebruary 10, 2021
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Dr Kit Byatt
@Laconic_doc (Twitter)@ralanshirley @felly500 The OpenSAFELY data suggested age was way greater than other factors after multivariate logistical regression... ...FWIW! [ref: https://t.co/nMuVSnOjFw]
view full postFebruary 10, 2021
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Wouter Havinga
@wouterhavinga (Twitter)@bengoldacre @Azeem_Majeed Factors associated with COVID-19-related death using OpenSAFELY July2020 Diabetes (known >6months https://t.co/jY2ibqP8zb & https://t.co/cu2IJff17Z @FPH_PHPC @rcgp Just keep ignoring the fact that people can reverse T2D? Leads to better Covid19 survival https://t.co/zaI0uIjSQn
view full postJanuary 27, 2021
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LH_RC ➡️
@FHA22428949 (Twitter)RT @LymphomeEspoir: Sources : Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. Factors associated with COVID-19-related death using Op…
view full postJanuary 15, 2021
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ELLyE l’Association #Lymphomes #LLC
@AssoELLyE (Twitter)Sources : Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 584, 430–436 (2020). https://t.co/xlLsBrIeOY https://t.co/mms7wPuO9O
view full postJanuary 15, 2021
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Ken McCarthy
@KenMcCarthy (Twitter)Risk of developing immune system hyperreaction ("cytokine storm") & dying from COVID-19 greater when conventional drugs are used, or if one already suffers from a chronic inflammatory comorbidity caused by or treated with conventional drugs. Nature 2020 https://t.co/OVxqcf3uAx
view full postJanuary 14, 2021
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Roxana Daneshjou MD/PhD
@RoxanaDaneshjou (Twitter)In case people are curious about what I'm reading: https://t.co/sPkneZySdO
view full postJanuary 10, 2021
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Is it true
@notsureitistrue (Twitter)RT @JTollitt: @NDTsocial @ERAEDTA Fascinating paper highlighting the independent association of CKD4&5 with #COVID19 mortality (aHR 2.52).…
view full postDecember 21, 2020
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James Tollitt
@JTollitt (Twitter)@NDTsocial @ERAEDTA Fascinating paper highlighting the independent association of CKD4&5 with #COVID19 mortality (aHR 2.52). I wonder if all (? media?) attention on SE status, ethnicity, diabetes etc has distracted us a wee bit during this terrible disease https://t.co/IDIs7QR8f2
view full postDecember 21, 2020
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Descomplica covid
@descomplicacovd (Twitter)Referências: WILLIAMSON, E. J. et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature, v. 584, p. 430-436, 2020. Disponível em: https://t.co/D3SLn0CStM
view full postDecember 17, 2020
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Plattform Registerforschung
@registerforsch1 (Twitter)RT @th_koenig: Anderswo im August: "Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths.…
view full postDecember 9, 2020
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Thomas Koenig
@th_koenig (Twitter)Anderswo im August: "Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths." cc @registerforsch1 @pazmandy @CzypionkaThomas https://t.co/LYKh6HIqXB
view full postDecember 9, 2020
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Rheum Cat
@rheum_cat (Twitter)@rheum_covid @Drbeckyg Known associations with #COVID-19 related death: findings from the UK OpenSAFELY study, which you can read HERE: https://t.co/8eLwfMp47K These factors included being male, older age, & comorbidities that included the category of RA/SLE/PsO. #ACR20 #ACRambassador https://t.co/nOYCMr55TI
view full postNovember 6, 2020
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Helen Simpson
@hormone_doc (Twitter)Factors associated with COVID-19-related death using OpenSAFELY | Nature // amazing use of data. Excess Covid death socioeconomic, small part related to underlying health conditions. Govt prob don’t want us to see this as hard to fix. https://t.co/cYQigzrgtT
view full postNovember 3, 2020
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Dra. Florencia vivero
@Florenciaviver4 (Twitter)RT @mugartegil: @yurilisjfuentes @Florenciaviver4 @tjcpanlar @PanlarJ @PanlarLeague @SvrOrg #TJCPANLAR en OPENSafely, el riesgo de AR/LES/P…
view full postOctober 27, 2020
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Manuel Ugarte-Gil
@mugartegil (Twitter)@yurilisjfuentes @Florenciaviver4 @tjcpanlar @PanlarJ @PanlarLeague @SvrOrg #TJCPANLAR en OPENSafely, el riesgo de AR/LES/Psoriasis fue menor que otras enfermedades crónicas (DM; enfermedad renal, etc) https://t.co/TVways3Zlk
view full postOctober 27, 2020
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Koos van der Wilt
@koos_wilt (Twitter)@hommel_b Ik ben zo geniaal dat ik deze PubMed entries meteen begrijp. Het gaat mij erom aan te tonen dat veel arsten en medische onderzoekers dingen aanvatten die volgens u niet aangevat moeten worden, want economie. https://t.co/f1K7HARsTq
view full postOctober 24, 2020
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Koos van der Wilt
@koos_wilt (Twitter)@hommel_b Nog even wat info over maskers uit PubMed. https://t.co/79rMK8Mao6 https://t.co/V2KZxAqDdS https://t.co/f1K7HARsTq
view full postOctober 24, 2020
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Cody Gathers
@CodyGathersMD (Twitter)RT @CHOP_CCMFellows: This all lead to a discussion about a few recent #COVID19 studies including, Factors associated with COVID-19-related…
view full postSeptember 30, 2020
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CHOP PICU Fellows
@CHOP_CCMFellows (Twitter)This all lead to a discussion about a few recent #COVID19 studies including, Factors associated with COVID-19-related death using OpenSAFELY. https://t.co/A8ylwyahnx
view full postSeptember 30, 2020
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Covid-19 bot
@Covidbot2020 (Twitter)Factors associated with COVID-19-related death using OpenSAFELY https://t.co/ooBFbCK5Wv report misinformation to @eli_b_goode by DM #covid19 #stayhome
view full postSeptember 26, 2020
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Jim Myers
@kidneystories (Twitter)RT @PGee51: Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS
view full postSeptember 2, 2020
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DialysisSaves
@DialysisSaves (Twitter)RT @PGee51: Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS
view full postSeptember 2, 2020
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Chronic Disease Coalition
@ChronicRights (Twitter)RT @PGee51: Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS
view full postSeptember 2, 2020
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Patrick O. Gee, Ph.D. JLC
@PGee51 (Twitter)Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS
view full postSeptember 2, 2020
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Ian Jenkins
@MrJTJenkins (Twitter)Factors associated with COVID-19-related death using OpenSAFELY | Nature @DrOliverWarren (as promised) @etpring https://t.co/uqx242GgIG
view full postAugust 26, 2020
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DULSE PHARMA
@DulsePharma (Twitter)RT @wbgrant2: Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes dat…
view full postAugust 25, 2020
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dante s
@dantesmithg (Twitter)RT @wbgrant2: Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes dat…
view full postAugust 24, 2020
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Lydia
@lydia967 (Twitter)RT @wbgrant2: Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes dat…
view full postAugust 24, 2020
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William B. Grant, PhD
@wbgrant2 (Twitter)Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes data from over 17 million adult NHS patients in England, is used to examine factors associated with COVID-19-related death. Nature, 584;430, 20 Aug. 2020 https://t.co/QVvW2CiHr1
view full postAugust 23, 2020
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Geraint Rees
@profgeraintrees (Twitter)Factors associated with COVID-19-related death using OpenSAFELY https://t.co/ek2vtbyYLB
view full postAugust 19, 2020
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Madhavi
@bajekal (Twitter)@MikaKivimaki Nature study (https://t.co/ybgyuxWnbO) estimating C19 hazard rate in UK shows a much lower mortality risk for obese stage1 (1.05 HR) than the hospitalisation risk estimated here (1.70 OR).
view full postAugust 12, 2020
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Nido de Pájaro Eco
@NidodePajaroEco (Twitter)RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…
view full postJuly 27, 2020
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S.O
@S_O_06 (Twitter)@HattoriYugo 相関レベルで良ければ、重症の気管支喘息だとCOVID-19の死亡リスクが高いかも、って報告はあるよ。 https://t.co/Z6eM69gC1X
view full postJuly 23, 2020
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Boshoff Steenekamp
@BoshoffSteeneka (Twitter)The report quantifies a range of clinical risk factors for COVID-19-related death in the largest cohort study conducted by any country to date. https://t.co/c11LSHRtsE
view full postJuly 20, 2020
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LKS ASE
@LksAse (Twitter)Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature (2020). https://t.co/GuvDxuCXxf #covid19ase
view full postJuly 18, 2020
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David Domínguez G
@davidando98 (Twitter)Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature (2020). https://t.co/3pPIJtzJr3
view full postJuly 18, 2020
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FRANCO DIAZ
@cofrandi (Twitter)En Inglaterra: Hombres, Viejos y enf crónicas se mueren mas x COVID > de 80 años riesgo de muerte 20 veces mayor que los de 50 a 59 años. Hombres más que las mujeres. Mueren más los pobres y minorías étnicas. Williamson EJ et al. Nature 2020. (https://t.co/6jk0fnR5ke)
view full postJuly 16, 2020
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meilinvia cahyadi
@meilinvia (Twitter)RT @PubTrend: Trending on PubMed: OpenSAFELY: factors associated with COVID-19 death in 17 million patients. https://t.co/PmnVKqrqFd
view full postJuly 16, 2020
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CMB
@CMB04325083 (Twitter)Dieser Preprint in Nature https://t.co/ZvwU5z08Lq gewichtet die Risikofaktoren sehr anders als das RKI. Nur zwei Bsp.: Leber-, Nierenkrankheiten und Demenz haben dort einen viel höheren Effekt als Herzkrankheiten. Blutdruck hat keinen Effekt. Was halten Sie davon? #fragkekule
view full postJuly 16, 2020
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Leonel Magnaterra
@MagnaLeonel (Twitter)RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…
view full postJuly 14, 2020
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PubMed Trending
@PubTrend (Twitter)Trending on PubMed: OpenSAFELY: factors associated with COVID-19 death in 17 million patients. https://t.co/PmnVKqrqFd
view full postJuly 14, 2020
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ironman
@hommedefer3 (Twitter)@koro485 ありがとうございます!Peer review fileも見つけたので読んでいたのですが、causalの件についてはコメントを返してやりとりしていたように見えます。https://t.co/NlFjI6oDmr問題となっていた箇所は喫煙と高血圧に関する部分かと思いますが、
view full postJuly 13, 2020
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AnaAna
@AnaCoro44 (Twitter)RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…
view full postJuly 12, 2020
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Margi
@Margi2017 (Twitter)RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…
view full postJuly 12, 2020
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Gabriel A. Angelini
@gaangelini (Twitter)@AntenucciDaniel @agusmarangoni @norabar @jorgeluisaliaga https://t.co/eO92aTuD0J Artículo de Nature dónde también cita a la pobreza como riesgo asociado a.mayor frecuencia de muerte por COVID @AntenucciDaniel @adrianalasino
view full postJuly 11, 2020
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Marie
@Miss__Owl (Twitter)RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…
view full postJuly 11, 2020
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Patricio Santagapita
@psantagapita (Twitter)Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature https://t.co/dugXIkpgeC (2020). Aclaraciones: Estudio hecho sobre mayores de 18 años. Noten que puse 10926 muertes. Cada una, cuenta y duele.
view full postJuly 11, 2020
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Daniel D. Rhoads
@danrhoads (Twitter)Interesting analysis of a large data set of #COVID19 cases by @bengoldacre et al in @nature: “[A]ge was strongly associated with [mortality] risk, with those ≥80 years having more than 20-fold increased risk than 50-59 year olds.” https://t.co/ZbnbeGjtIH https://t.co/5bKIWcCDWY
view full postJuly 11, 2020
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FREDO
@fredvb1512 (Twitter)RT @LoPosmo: Los números del Sars-CoV-2. Riesgo muerte: — 0.01% de 18 a 39 años. — 0.67% en hombres y 0.44% en mujeres > 80. — Más 80 años…
view full postJuly 10, 2020
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Me Lo Contó Un Posmo
@LoPosmo (Twitter)Los números del Sars-CoV-2. Riesgo muerte: — 0.01% de 18 a 39 años. — 0.67% en hombres y 0.44% en mujeres > 80. — Más 80 años, 20 veces más que 50-59 años. — Hombres 1.59 veces más. — Negros 1.88 veces más. — IMC > 40 tiene el doble de riesgo. Fuente: https://t.co/EhDLpqk8pH.
view full postJuly 10, 2020
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Georgia Charkoftaki
@gcharkoftaki (Twitter)OpenSAFELY: Factors Associated With COVID-19 Death in 17 Million Patients - https://t.co/PQP7R5rjk1
view full postJuly 10, 2020
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Donald Jurivich
@curcumin (Twitter)https://t.co/x54Au770hm Nature article reports 80 year olds have 100x risk of Covid19 death compared to 40 year olds
view full postJuly 9, 2020
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Nina Maouelainin, DO, FCCP, MBA
@Lungsolutions (Twitter)RT @KSainiMD: #NHS England study of >17 m patients including >10K deaths from #COVID. Hematological malignancy within the past year increas…
view full postJuly 9, 2020
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OncoAlert
@OncoAlert (Twitter)RT @KSainiMD: #NHS England study of >17 m patients including >10K deaths from #COVID. Hematological malignancy within the past year increas…
view full postJuly 9, 2020
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KS Saini, MD
@KSainiMD (Twitter)#NHS England study of >17 m patients including >10K deaths from #COVID. Hematological malignancy within the past year increases the hazard of death from COVID-19 (HR 3.02) and solid #cancer by HR 1.81. Tremendous effort, valuable insights! @OncoAlert https://t.co/eqmxhcnWZE
view full postJuly 9, 2020
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Abstract Synopsis
- The study utilized the OpenSAFELY platform to analyze health data from over 17 million adults in England to identify factors linked to COVID-19 related deaths.
- Key risk factors included being male, older age, living in deprived areas, having conditions like diabetes and severe asthma, and being from Black or South Asian ethnic backgrounds, who faced higher risks compared to white individuals.
- The findings represent one of the largest cohort studies on COVID-19 mortality and indicate that ongoing data updates will continue to refine our understanding of these risk factors.
Missingsnowman ☃
@missingsnowman (Twitter)