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The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms.

Identifieur interne : 000C80 ( Main/Exploration ); précédent : 000C79; suivant : 000C81

The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms.

Auteurs : Simon De Lusignan [Royaume-Uni] ; Nicholas Jones [Royaume-Uni] ; Jienchi Dorward [Royaume-Uni] ; Rachel Byford [Royaume-Uni] ; Harshana Liyanage [Royaume-Uni] ; John Briggs [Royaume-Uni] ; Filipa Ferreira [Royaume-Uni] ; Oluwafunmi Akinyemi [Royaume-Uni] ; Gayatri Amirthalingam [Royaume-Uni] ; Chris Bates [Royaume-Uni] ; Jamie Lopez Bernal [Royaume-Uni] ; Gavin Dabrera [Royaume-Uni] ; Alex Eavis [Royaume-Uni] ; Alex J. Elliot [Royaume-Uni] ; Michael Feher [Royaume-Uni] ; Else Krajenbrink [Royaume-Uni] ; Uy Hoang [Royaume-Uni] ; Gary Howsam [Royaume-Uni] ; Jonathan Leach [Royaume-Uni] ; Cecilia Okusi [Royaume-Uni] ; Brian Nicholson [Royaume-Uni] ; Philip Nieri [Royaume-Uni] ; Julian Sherlock [Royaume-Uni] ; Gillian Smith [Royaume-Uni] ; Mark Thomas [Royaume-Uni] ; Nicholas Thomas [Royaume-Uni] ; Manasa Tripathy [Royaume-Uni] ; William Victor [Royaume-Uni] ; John Williams [Royaume-Uni] ; Ian Wood [Royaume-Uni] ; Maria Zambon [Royaume-Uni] ; John Parry [Royaume-Uni] ; Shaun O'Hanlon [Royaume-Uni] ; Mark Joy [Royaume-Uni] ; Chris Butler [Royaume-Uni] ; Martin Marshall [Royaume-Uni] ; F D Richard Hobbs [Royaume-Uni]

Source :

RBID : pubmed:32484782

Descripteurs français

English descriptors

Abstract

BACKGROUND

Routinely recorded primary care data have been used for many years by sentinel networks for surveillance. More recently, real world data have been used for a wider range of research projects to support rapid, inexpensive clinical trials. Because the partial national lockdown in the United Kingdom due to the coronavirus disease (COVID-19) pandemic has resulted in decreasing community disease incidence, much larger numbers of general practices are needed to deliver effective COVID-19 surveillance and contribute to in-pandemic clinical trials.

OBJECTIVE

The aim of this protocol is to describe the rapid design and development of the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) and its first two platforms. The Surveillance Platform will provide extended primary care surveillance, while the Trials Platform is a streamlined clinical trials platform that will be integrated into routine primary care practice.

METHODS

We will apply the FAIR (Findable, Accessible, Interoperable, and Reusable) metadata principles to a new, integrated digital health hub that will extract routinely collected general practice electronic health data for use in clinical trials and provide enhanced communicable disease surveillance. The hub will be findable through membership in Health Data Research UK and European metadata repositories. Accessibility through an online application system will provide access to study-ready data sets or developed custom data sets. Interoperability will be facilitated by fixed linkage to other key sources such as Hospital Episodes Statistics and the Office of National Statistics using pseudonymized data. All semantic descriptors (ie, ontologies) and code used for analysis will be made available to accelerate analyses. We will also make data available using common data models, starting with the US Food and Drug Administration Sentinel and Observational Medical Outcomes Partnership approaches, to facilitate international studies. The Surveillance Platform will provide access to data for health protection and promotion work as authorized through agreements between Oxford, the Royal College of General Practitioners, and Public Health England. All studies using the Trials Platform will go through appropriate ethical and other regulatory approval processes.

RESULTS

The hub will be a bottom-up, professionally led network that will provide benefits for member practices, our health service, and the population served. Data will only be used for SQUIRE (surveillance, quality improvement, research, and education) purposes. We have already received positive responses from practices, and the number of practices in the network has doubled to over 1150 since February 2020. COVID-19 surveillance has resulted in tripling of the number of virology sites to 293 (target 300), which has aided the collection of the largest ever weekly total of surveillance swabs in the United Kingdom as well as over 3000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology samples. Practices are recruiting to the PRINCIPLE (Platform Randomised trial of INterventions against COVID-19 In older PeopLE) trial, and these participants will be followed up through ORCHID. These initial outputs demonstrate the feasibility of ORCHID to provide an extended national digital health hub.

CONCLUSIONS

ORCHID will provide equitable and innovative use of big data through a professionally led national primary care network and the application of FAIR principles. The secure data hub will host routinely collected general practice data linked to other key health care repositories for clinical trials and support enhanced in situ surveillance without always requiring large volume data extracts. ORCHID will support rapid data extraction, analysis, and dissemination with the aim of improving future research and development in general practice to positively impact patient care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/19773.


DOI: 10.2196/19773
PubMed: 32484782
PubMed Central: PMC7333793


Affiliations:


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<name sortKey="Victor, William" sort="Victor, William" uniqKey="Victor W" first="William" last="Victor">William Victor</name>
<affiliation wicri:level="3">
<nlm:affiliation>Royal College of General Practitioners, London, United Kingdom.</nlm:affiliation>
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<wicri:regionArea>Royal College of General Practitioners, London</wicri:regionArea>
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<settlement type="city">Londres</settlement>
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<author>
<name sortKey="Williams, John" sort="Williams, John" uniqKey="Williams J" first="John" last="Williams">John Williams</name>
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<nlm:affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</nlm:affiliation>
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<wicri:regionArea>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford</wicri:regionArea>
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<settlement type="city">Oxford</settlement>
<region type="country">Angleterre</region>
<region type="comté" nuts="2">Oxfordshire</region>
</placeName>
<orgName type="university">Université d'Oxford</orgName>
</affiliation>
</author>
<author>
<name sortKey="Wood, Ian" sort="Wood, Ian" uniqKey="Wood I" first="Ian" last="Wood">Ian Wood</name>
<affiliation wicri:level="3">
<nlm:affiliation>Royal College of General Practitioners, London, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Royal College of General Practitioners, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
<affiliation wicri:level="1">
<nlm:affiliation>EMIS Group, Leeds, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>EMIS Group, Leeds</wicri:regionArea>
<wicri:noRegion>Leeds</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Zambon, Maria" sort="Zambon, Maria" uniqKey="Zambon M" first="Maria" last="Zambon">Maria Zambon</name>
<affiliation wicri:level="3">
<nlm:affiliation>Public Health England, London, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Public Health England, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Parry, John" sort="Parry, John" uniqKey="Parry J" first="John" last="Parry">John Parry</name>
<affiliation wicri:level="1">
<nlm:affiliation>TPP SystmOne, Leeds, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>TPP SystmOne, Leeds</wicri:regionArea>
<wicri:noRegion>Leeds</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="O Hanlon, Shaun" sort="O Hanlon, Shaun" uniqKey="O Hanlon S" first="Shaun" last="O'Hanlon">Shaun O'Hanlon</name>
<affiliation wicri:level="1">
<nlm:affiliation>EMIS Group, Leeds, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>EMIS Group, Leeds</wicri:regionArea>
<wicri:noRegion>Leeds</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Joy, Mark" sort="Joy, Mark" uniqKey="Joy M" first="Mark" last="Joy">Mark Joy</name>
<affiliation wicri:level="4">
<nlm:affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford</wicri:regionArea>
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<settlement type="city">Oxford</settlement>
<region type="country">Angleterre</region>
<region type="comté" nuts="2">Oxfordshire</region>
</placeName>
<orgName type="university">Université d'Oxford</orgName>
</affiliation>
</author>
<author>
<name sortKey="Butler, Chris" sort="Butler, Chris" uniqKey="Butler C" first="Chris" last="Butler">Chris Butler</name>
<affiliation wicri:level="4">
<nlm:affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford</wicri:regionArea>
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<settlement type="city">Oxford</settlement>
<region type="country">Angleterre</region>
<region type="comté" nuts="2">Oxfordshire</region>
</placeName>
<orgName type="university">Université d'Oxford</orgName>
</affiliation>
</author>
<author>
<name sortKey="Marshall, Martin" sort="Marshall, Martin" uniqKey="Marshall M" first="Martin" last="Marshall">Martin Marshall</name>
<affiliation wicri:level="3">
<nlm:affiliation>Royal College of General Practitioners, London, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Royal College of General Practitioners, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Hobbs, F D Richard" sort="Hobbs, F D Richard" uniqKey="Hobbs F" first="F D Richard" last="Hobbs">F D Richard Hobbs</name>
<affiliation wicri:level="4">
<nlm:affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford</wicri:regionArea>
<placeName>
<settlement type="city">Oxford</settlement>
<region type="country">Angleterre</region>
<region type="comté" nuts="2">Oxfordshire</region>
</placeName>
<orgName type="university">Université d'Oxford</orgName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">JMIR public health and surveillance</title>
<idno type="eISSN">2369-2960</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
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<keywords scheme="KwdEn" xml:lang="en">
<term>COVID-19 (MeSH)</term>
<term>Clinical Trials as Topic (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>General Practice (organization & administration)</term>
<term>Humans (MeSH)</term>
<term>Medical Records Systems, Computerized (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Primary Health Care (organization & administration)</term>
<term>Public Health Surveillance (MeSH)</term>
<term>Societies, Medical (MeSH)</term>
<term>United Kingdom (epidemiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Essais cliniques comme sujet (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Médecine générale (organisation et administration)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Royaume-Uni (épidémiologie)</term>
<term>Sociétés médicales (MeSH)</term>
<term>Soins de santé primaires (organisation et administration)</term>
<term>Surveillance de la santé publique (MeSH)</term>
<term>Systèmes informatisés de dossiers médicaux (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>United Kingdom</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr">
<term>Médecine générale</term>
<term>Soins de santé primaires</term>
</keywords>
<keywords scheme="MESH" qualifier="organization & administration" xml:lang="en">
<term>General Practice</term>
<term>Primary Health Care</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Royaume-Uni</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>COVID-19</term>
<term>Clinical Trials as Topic</term>
<term>Humans</term>
<term>Medical Records Systems, Computerized</term>
<term>Pandemics</term>
<term>Public Health Surveillance</term>
<term>Societies, Medical</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Essais cliniques comme sujet</term>
<term>Humains</term>
<term>Pandémies</term>
<term>Sociétés médicales</term>
<term>Surveillance de la santé publique</term>
<term>Systèmes informatisés de dossiers médicaux</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Royaume-Uni</term>
</keywords>
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<front>
<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND</b>
</p>
<p>Routinely recorded primary care data have been used for many years by sentinel networks for surveillance. More recently, real world data have been used for a wider range of research projects to support rapid, inexpensive clinical trials. Because the partial national lockdown in the United Kingdom due to the coronavirus disease (COVID-19) pandemic has resulted in decreasing community disease incidence, much larger numbers of general practices are needed to deliver effective COVID-19 surveillance and contribute to in-pandemic clinical trials.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>OBJECTIVE</b>
</p>
<p>The aim of this protocol is to describe the rapid design and development of the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) and its first two platforms. The Surveillance Platform will provide extended primary care surveillance, while the Trials Platform is a streamlined clinical trials platform that will be integrated into routine primary care practice.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>We will apply the FAIR (Findable, Accessible, Interoperable, and Reusable) metadata principles to a new, integrated digital health hub that will extract routinely collected general practice electronic health data for use in clinical trials and provide enhanced communicable disease surveillance. The hub will be findable through membership in Health Data Research UK and European metadata repositories. Accessibility through an online application system will provide access to study-ready data sets or developed custom data sets. Interoperability will be facilitated by fixed linkage to other key sources such as Hospital Episodes Statistics and the Office of National Statistics using pseudonymized data. All semantic descriptors (ie, ontologies) and code used for analysis will be made available to accelerate analyses. We will also make data available using common data models, starting with the US Food and Drug Administration Sentinel and Observational Medical Outcomes Partnership approaches, to facilitate international studies. The Surveillance Platform will provide access to data for health protection and promotion work as authorized through agreements between Oxford, the Royal College of General Practitioners, and Public Health England. All studies using the Trials Platform will go through appropriate ethical and other regulatory approval processes.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>The hub will be a bottom-up, professionally led network that will provide benefits for member practices, our health service, and the population served. Data will only be used for SQUIRE (surveillance, quality improvement, research, and education) purposes. We have already received positive responses from practices, and the number of practices in the network has doubled to over 1150 since February 2020. COVID-19 surveillance has resulted in tripling of the number of virology sites to 293 (target 300), which has aided the collection of the largest ever weekly total of surveillance swabs in the United Kingdom as well as over 3000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology samples. Practices are recruiting to the PRINCIPLE (Platform Randomised trial of INterventions against COVID-19 In older PeopLE) trial, and these participants will be followed up through ORCHID. These initial outputs demonstrate the feasibility of ORCHID to provide an extended national digital health hub.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSIONS</b>
</p>
<p>ORCHID will provide equitable and innovative use of big data through a professionally led national primary care network and the application of FAIR principles. The secure data hub will host routinely collected general practice data linked to other key health care repositories for clinical trials and support enhanced in situ surveillance without always requiring large volume data extracts. ORCHID will support rapid data extraction, analysis, and dissemination with the aim of improving future research and development in general practice to positively impact patient care.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)</b>
</p>
<p>DERR1-10.2196/19773.</p>
</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">32484782</PMID>
<DateCompleted>
<Year>2020</Year>
<Month>07</Month>
<Day>07</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
</DateRevised>
<Article PubModel="Electronic">
<Journal>
<ISSN IssnType="Electronic">2369-2960</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>6</Volume>
<Issue>3</Issue>
<PubDate>
<Year>2020</Year>
<Month>07</Month>
<Day>02</Day>
</PubDate>
</JournalIssue>
<Title>JMIR public health and surveillance</Title>
<ISOAbbreviation>JMIR Public Health Surveill</ISOAbbreviation>
</Journal>
<ArticleTitle>The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms.</ArticleTitle>
<Pagination>
<MedlinePgn>e19773</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.2196/19773</ELocationID>
<Abstract>
<AbstractText Label="BACKGROUND">Routinely recorded primary care data have been used for many years by sentinel networks for surveillance. More recently, real world data have been used for a wider range of research projects to support rapid, inexpensive clinical trials. Because the partial national lockdown in the United Kingdom due to the coronavirus disease (COVID-19) pandemic has resulted in decreasing community disease incidence, much larger numbers of general practices are needed to deliver effective COVID-19 surveillance and contribute to in-pandemic clinical trials.</AbstractText>
<AbstractText Label="OBJECTIVE">The aim of this protocol is to describe the rapid design and development of the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) and its first two platforms. The Surveillance Platform will provide extended primary care surveillance, while the Trials Platform is a streamlined clinical trials platform that will be integrated into routine primary care practice.</AbstractText>
<AbstractText Label="METHODS">We will apply the FAIR (Findable, Accessible, Interoperable, and Reusable) metadata principles to a new, integrated digital health hub that will extract routinely collected general practice electronic health data for use in clinical trials and provide enhanced communicable disease surveillance. The hub will be findable through membership in Health Data Research UK and European metadata repositories. Accessibility through an online application system will provide access to study-ready data sets or developed custom data sets. Interoperability will be facilitated by fixed linkage to other key sources such as Hospital Episodes Statistics and the Office of National Statistics using pseudonymized data. All semantic descriptors (ie, ontologies) and code used for analysis will be made available to accelerate analyses. We will also make data available using common data models, starting with the US Food and Drug Administration Sentinel and Observational Medical Outcomes Partnership approaches, to facilitate international studies. The Surveillance Platform will provide access to data for health protection and promotion work as authorized through agreements between Oxford, the Royal College of General Practitioners, and Public Health England. All studies using the Trials Platform will go through appropriate ethical and other regulatory approval processes.</AbstractText>
<AbstractText Label="RESULTS">The hub will be a bottom-up, professionally led network that will provide benefits for member practices, our health service, and the population served. Data will only be used for SQUIRE (surveillance, quality improvement, research, and education) purposes. We have already received positive responses from practices, and the number of practices in the network has doubled to over 1150 since February 2020. COVID-19 surveillance has resulted in tripling of the number of virology sites to 293 (target 300), which has aided the collection of the largest ever weekly total of surveillance swabs in the United Kingdom as well as over 3000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology samples. Practices are recruiting to the PRINCIPLE (Platform Randomised trial of INterventions against COVID-19 In older PeopLE) trial, and these participants will be followed up through ORCHID. These initial outputs demonstrate the feasibility of ORCHID to provide an extended national digital health hub.</AbstractText>
<AbstractText Label="CONCLUSIONS">ORCHID will provide equitable and innovative use of big data through a professionally led national primary care network and the application of FAIR principles. The secure data hub will host routinely collected general practice data linked to other key health care repositories for clinical trials and support enhanced in situ surveillance without always requiring large volume data extracts. ORCHID will support rapid data extraction, analysis, and dissemination with the aim of improving future research and development in general practice to positively impact patient care.</AbstractText>
<AbstractText Label="INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)">DERR1-10.2196/19773.</AbstractText>
<CopyrightInformation>©Simon de Lusignan, Nicholas Jones, Jienchi Dorward, Rachel Byford, Harshana Liyanage, John Briggs, Filipa Ferreira, Oluwafunmi Akinyemi, Gayatri Amirthalingam, Chris Bates, Jamie Lopez Bernal, Gavin Dabrera, Alex Eavis, Alex J Elliot, Michael Feher, Else Krajenbrink, Uy Hoang, Gary Howsam, Jonathan Leach, Cecilia Okusi, Brian Nicholson, Philip Nieri, Julian Sherlock, Gillian Smith, Mark Thomas, Nicholas Thomas, Manasa Tripathy, William Victor, John Williams, Ian Wood, Maria Zambon, John Parry, Shaun O’Hanlon, Mark Joy, Chris Butler, Martin Marshall, FD Richard Hobbs. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 02.07.2020.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>de Lusignan</LastName>
<ForeName>Simon</ForeName>
<Initials>S</Initials>
<Identifier Source="ORCID">0000-0002-8553-2641</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Royal College of General Practitioners, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y">
<LastName>Jones</LastName>
<ForeName>Nicholas</ForeName>
<Initials>N</Initials>
<Identifier Source="ORCID">0000-0002-0352-3785</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dorward</LastName>
<ForeName>Jienchi</ForeName>
<Initials>J</Initials>
<Identifier Source="ORCID">0000-0001-6072-1430</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Byford</LastName>
<ForeName>Rachel</ForeName>
<Initials>R</Initials>
<Identifier Source="ORCID">0000-0002-4792-8995</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Liyanage</LastName>
<ForeName>Harshana</ForeName>
<Initials>H</Initials>
<Identifier Source="ORCID">0000-0001-9738-6349</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Briggs</LastName>
<ForeName>John</ForeName>
<Initials>J</Initials>
<Identifier Source="ORCID">0000-0002-9832-5430</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ferreira</LastName>
<ForeName>Filipa</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">0000-0002-7717-8486</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Akinyemi</LastName>
<ForeName>Oluwafunmi</ForeName>
<Initials>O</Initials>
<Identifier Source="ORCID">0000-0003-0401-0145</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Amirthalingam</LastName>
<ForeName>Gayatri</ForeName>
<Initials>G</Initials>
<Identifier Source="ORCID">0000-0003-2078-0975</Identifier>
<AffiliationInfo>
<Affiliation>Public Health England, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Bates</LastName>
<ForeName>Chris</ForeName>
<Initials>C</Initials>
<Identifier Source="ORCID">0000-0003-0113-2593</Identifier>
<AffiliationInfo>
<Affiliation>TPP SystmOne, Leeds, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Lopez Bernal</LastName>
<ForeName>Jamie</ForeName>
<Initials>J</Initials>
<Identifier Source="ORCID">0000-0002-1301-5653</Identifier>
<AffiliationInfo>
<Affiliation>Public Health England, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dabrera</LastName>
<ForeName>Gavin</ForeName>
<Initials>G</Initials>
<Identifier Source="ORCID">0000-0003-4606-5945</Identifier>
<AffiliationInfo>
<Affiliation>Public Health England, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Eavis</LastName>
<ForeName>Alex</ForeName>
<Initials>A</Initials>
<Identifier Source="ORCID">0000-0003-3525-2198</Identifier>
<AffiliationInfo>
<Affiliation>EMIS Group, Leeds, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Elliot</LastName>
<ForeName>Alex J</ForeName>
<Initials>AJ</Initials>
<Identifier Source="ORCID">0000-0002-6414-3065</Identifier>
<AffiliationInfo>
<Affiliation>Real-time Syndromic Surveillance Team, Field Service, Public Health England, Birmingham, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Feher</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
<Identifier Source="ORCID">0000-0003-0631-6199</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Krajenbrink</LastName>
<ForeName>Else</ForeName>
<Initials>E</Initials>
<Identifier Source="ORCID">0000-0002-6563-9441</Identifier>
<AffiliationInfo>
<Affiliation>Royal College of General Practitioners, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Hoang</LastName>
<ForeName>Uy</ForeName>
<Initials>U</Initials>
<Identifier Source="ORCID">0000-0002-8428-5140</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Howsam</LastName>
<ForeName>Gary</ForeName>
<Initials>G</Initials>
<Identifier Source="ORCID">0000-0001-6699-5504</Identifier>
<AffiliationInfo>
<Affiliation>Royal College of General Practitioners, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Leach</LastName>
<ForeName>Jonathan</ForeName>
<Initials>J</Initials>
<Identifier Source="ORCID">0000-0001-5142-4506</Identifier>
<AffiliationInfo>
<Affiliation>Royal College of General Practitioners, London, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Okusi</LastName>
<ForeName>Cecilia</ForeName>
<Initials>C</Initials>
<Identifier Source="ORCID">0000-0002-5575-8527</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Nicholson</LastName>
<ForeName>Brian</ForeName>
<Initials>B</Initials>
<Identifier Source="ORCID">0000-0003-0661-7362</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Nieri</LastName>
<ForeName>Philip</ForeName>
<Initials>P</Initials>
<Identifier Source="ORCID">0000-0003-0478-0190</Identifier>
<AffiliationInfo>
<Affiliation>Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
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