Journal article 468 views 87 downloads
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study
Ash K Clift,
Carol A C Coupland,
Ruth H Keogh,
Karla Diaz-Ordaz,
Elizabeth Williamson,
Ewen M Harrison,
Andrew Hayward,
Harry Hemingway,
Peter Horby,
Nisha Mehta,
Jonathan Benger,
Kamlesh Khunti,
David Spiegelhalter,
Aziz Sheikh,
Jonathan Valabhji,
Ronan Lyons 
,
John Robson,
Malcolm G Semple,
Frank Kee,
Peter Johnson,
Susan Jebb,
Tony Williams,
Julia Hippisley-Cox
,
John Robson,
Malcolm G Semple,
Frank Kee,
Peter Johnson,
Susan Jebb,
Tony Williams,
Julia Hippisley-Cox
BMJ, Volume: 371, Start page: m3731
Swansea University Author:
Ronan Lyons
-
PDF | Version of Record
This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license
Download (404.08KB)
DOI (Published version): 10.1136/bmj.m3731
Abstract
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study
| Published in: | BMJ |
|---|---|
| ISSN: | 1756-1833 |
| Published: |
BMJ
2020
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa56406 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| first_indexed |
2021-03-11T09:49:13Z |
|---|---|
| last_indexed |
2021-08-30T03:19:07Z |
| id |
cronfa56406 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2021-08-29T15:06:55.5700700</datestamp><bib-version>v2</bib-version><id>56406</id><entry>2021-03-11</entry><title>Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study</title><swanseaauthors><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-03-11</date><deptcode>HDAT</deptcode><abstract/><type>Journal Article</type><journal>BMJ</journal><volume>371</volume><journalNumber/><paginationStart>m3731</paginationStart><paginationEnd/><publisher>BMJ</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1756-1833</issnElectronic><keywords/><publishedDay>20</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-10-20</publishedDate><doi>10.1136/bmj.m3731</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>Barts Charity, ESRC, MRC, Department of Health</funders><projectreference>MGU0359, MGU0421, ES/S007393/1, MR/M501633/2, NF-SI-0616-10066 et al</projectreference><lastEdited>2021-08-29T15:06:55.5700700</lastEdited><Created>2021-03-11T09:45:35.3616581</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Ash K</firstname><surname>Clift</surname><order>1</order></author><author><firstname>Carol A C</firstname><surname>Coupland</surname><order>2</order></author><author><firstname>Ruth H</firstname><surname>Keogh</surname><order>3</order></author><author><firstname>Karla</firstname><surname>Diaz-Ordaz</surname><order>4</order></author><author><firstname>Elizabeth</firstname><surname>Williamson</surname><order>5</order></author><author><firstname>Ewen M</firstname><surname>Harrison</surname><order>6</order></author><author><firstname>Andrew</firstname><surname>Hayward</surname><order>7</order></author><author><firstname>Harry</firstname><surname>Hemingway</surname><order>8</order></author><author><firstname>Peter</firstname><surname>Horby</surname><order>9</order></author><author><firstname>Nisha</firstname><surname>Mehta</surname><order>10</order></author><author><firstname>Jonathan</firstname><surname>Benger</surname><order>11</order></author><author><firstname>Kamlesh</firstname><surname>Khunti</surname><order>12</order></author><author><firstname>David</firstname><surname>Spiegelhalter</surname><order>13</order></author><author><firstname>Aziz</firstname><surname>Sheikh</surname><order>14</order></author><author><firstname>Jonathan</firstname><surname>Valabhji</surname><order>15</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>16</order></author><author><firstname>John</firstname><surname>Robson</surname><order>17</order></author><author><firstname>Malcolm G</firstname><surname>Semple</surname><order>18</order></author><author><firstname>Frank</firstname><surname>Kee</surname><order>19</order></author><author><firstname>Peter</firstname><surname>Johnson</surname><order>20</order></author><author><firstname>Susan</firstname><surname>Jebb</surname><order>21</order></author><author><firstname>Tony</firstname><surname>Williams</surname><order>22</order></author><author><firstname>Julia</firstname><surname>Hippisley-Cox</surname><order>23</order></author></authors><documents><document><filename>56406__19525__9965f6b1d76e4e319d8e3276ffd2c1b8.pdf</filename><originalFilename>56406.pdf</originalFilename><uploaded>2021-03-22T14:14:19.2128290</uploaded><type>Output</type><contentLength>413776</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
| spelling |
2021-08-29T15:06:55.5700700 v2 56406 2021-03-11 Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2021-03-11 HDAT Journal Article BMJ 371 m3731 BMJ 1756-1833 20 10 2020 2020-10-20 10.1136/bmj.m3731 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University Barts Charity, ESRC, MRC, Department of Health MGU0359, MGU0421, ES/S007393/1, MR/M501633/2, NF-SI-0616-10066 et al 2021-08-29T15:06:55.5700700 2021-03-11T09:45:35.3616581 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Ash K Clift 1 Carol A C Coupland 2 Ruth H Keogh 3 Karla Diaz-Ordaz 4 Elizabeth Williamson 5 Ewen M Harrison 6 Andrew Hayward 7 Harry Hemingway 8 Peter Horby 9 Nisha Mehta 10 Jonathan Benger 11 Kamlesh Khunti 12 David Spiegelhalter 13 Aziz Sheikh 14 Jonathan Valabhji 15 Ronan Lyons 0000-0001-5225-000X 16 John Robson 17 Malcolm G Semple 18 Frank Kee 19 Peter Johnson 20 Susan Jebb 21 Tony Williams 22 Julia Hippisley-Cox 23 56406__19525__9965f6b1d76e4e319d8e3276ffd2c1b8.pdf 56406.pdf 2021-03-22T14:14:19.2128290 Output 413776 application/pdf Version of Record true This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study |
| spellingShingle |
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study Ronan Lyons |
| title_short |
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study |
| title_full |
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study |
| title_fullStr |
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study |
| title_full_unstemmed |
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study |
| title_sort |
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study |
| author_id_str_mv |
83efcf2a9dfcf8b55586999d3d152ac6 |
| author_id_fullname_str_mv |
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons |
| author |
Ronan Lyons |
| author2 |
Ash K Clift Carol A C Coupland Ruth H Keogh Karla Diaz-Ordaz Elizabeth Williamson Ewen M Harrison Andrew Hayward Harry Hemingway Peter Horby Nisha Mehta Jonathan Benger Kamlesh Khunti David Spiegelhalter Aziz Sheikh Jonathan Valabhji Ronan Lyons John Robson Malcolm G Semple Frank Kee Peter Johnson Susan Jebb Tony Williams Julia Hippisley-Cox |
| format |
Journal article |
| container_title |
BMJ |
| container_volume |
371 |
| container_start_page |
m3731 |
| publishDate |
2020 |
| institution |
Swansea University |
| issn |
1756-1833 |
| doi_str_mv |
10.1136/bmj.m3731 |
| publisher |
BMJ |
| college_str |
Faculty of Medicine, Health and Life Sciences |
| hierarchytype |
|
| hierarchy_top_id |
facultyofmedicinehealthandlifesciences |
| hierarchy_top_title |
Faculty of Medicine, Health and Life Sciences |
| hierarchy_parent_id |
facultyofmedicinehealthandlifesciences |
| hierarchy_parent_title |
Faculty of Medicine, Health and Life Sciences |
| department_str |
Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
| document_store_str |
1 |
| active_str |
0 |
| published_date |
2020-10-20T04:11:20Z |
| _version_ |
1763753780156825600 |
| score |
11.016235 |