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'''Iain Edward Buchan''' is a [[Doctor of Public Health|public health physician]], [[Data science|data scientist]] and academic. He holds a personal Chair in Public Health and Clinical Informatics, was the founding Executive Dean of the Institute of Population Health, and is Associate Pro Vice Chancellor for Innovation at the [[University of Liverpool]].<ref name=yyy>{{cite web|url=https://www.liverpool.ac.uk/population-health/staff/iain-buchan/.|title=" Professor Iain Buchan MD FFPH FACMI FFCI - University of Liverpool Profile".}}</ref>
'''Iain Edward Buchan''' is a [[Doctor of Public Health|public health physician]], [[Data science|data scientist]] and academic. He holds a personal Chair in Public Health and Clinical Informatics, was the founding Executive Dean of the Institute of Population Health, and is Associate Pro Vice Chancellor for Innovation at the [[University of Liverpool]].<ref name=yyy>{{Cite web|url=https://www.liverpool.ac.uk/it/security/|title=Security - University of Liverpool|website=www.liverpool.ac.uk}}</ref>


Buchan's research focuses on [[health data]] science and informatics to enable better prevention, early intervention, and value of care for patients and populations. He is most known for leading the world's first evaluation of [[COVID-19 rapid antigen test|mass rapid antigen testing]],<ref name=ccc>{{cite web|url=https://www.liverpool.ac.uk/research/research-themes/infectious-diseases/coronavirus-research/covid-smart-pilot/|title=" Liverpool Covid-SMART rapid antigen community testing evaluations}}</ref> and the first realistic risk-mitigated reopening of mass events during the [[United Kingdom responses to the COVID-19 pandemic|UK's response to the COVID-19 pandemic]].<ref name=ddd>{{cite web|url=https://news.liverpool.ac.uk/2023/06/23/study-shows-uk-led-way-in-reopening-big-cultural-events-safely-after-covid-lockdowns/|title=Study shows UK led the way in reopening big cultural events safely after Covid lockdowns"}}</ref> He also developed the Civic Data Cooperative,<ref name=ret>{{cite web|url=https://civicdatacooperative.com/about/|title= About Us - Civic Data Cooperative"}}</ref> which resulted in the Combined Intelligence for Population Health Action (CIPHA) system during the pandemic.<ref name=fff>{{cite web|url=https://civicdatacooperative.com/cipha-health-data-platform-and-university-partner-bivictrix-therapeutics-triumph-at-bionow-awards/|title= CIPHA health data platform and University partner BiVictriX Therapeutics triumph at Bionow awards}}</ref> He is the recipient of HTN Health Tech Award,<ref>{{cite web|url=https://www.cipha.nhs.uk/news/|title=NHS Combined Intelligence for Population Health Action (CIPHA): News}}</ref> Alwyn-Smith Medal,<ref name=zzz>{{cite web|url=https://www.liverpool.ac.uk/life-sciences/news/articles/liverpool-scientists-recognised-by-the-faculty-of-public-health|title=Liverpool professors recognised by the Faculty of Public Health
Buchan's research focuses on [[health data]] science and informatics to enable better prevention, early intervention, and value of care for patients and populations. He is most known for leading the world's first evaluation of [[COVID-19 rapid antigen test|mass rapid antigen testing]],<ref name=ccc>{{Cite web|url=https://www.liverpool.ac.uk/research/research-themes/infectious-diseases/coronavirus-research/covid-smart-pilot/|title=Liverpool Covid-SMART Pilot - Research - University of Liverpool|website=www.liverpool.ac.uk}}</ref> and the first realistic risk-mitigated reopening of mass events during the [[United Kingdom responses to the COVID-19 pandemic|UK's response to the COVID-19 pandemic]].<ref name=ddd>{{Cite web|url=https://news.liverpool.ac.uk/2023/06/23/study-shows-uk-led-way-in-reopening-big-cultural-events-safely-after-covid-lockdowns/|title=Study shows UK led way in reopening big cultural events safely after Covid lockdowns - University of Liverpool News|first=Jennifer|last=Morgan|date=June 23, 2023}}</ref> He also developed the Civic Data Cooperative,<ref name=ret>{{Cite web|url=https://civicdatacooperative.com/about/|title=About|website=Civic Data Cooperative}}</ref> which resulted in the Combined Intelligence for Population Health Action (CIPHA) system during the pandemic.<ref name=fff>{{Cite web|url=https://civicdatacooperative.com/cipha-health-data-platform-and-university-partner-bivictrix-therapeutics-triumph-at-bionow-awards/|title=CIPHA health data platform and University partner BiVictriX Therapeutics triumph at Bionow awards|date=October 26, 2022|website=Civic Data Cooperative}}</ref> He is the recipient of HTN Health Tech Award,<ref>{{Cite web|url=https://www.cipha.nhs.uk/news/|title=CIPHA - News|website=www.cipha.nhs.uk}}</ref> Alwyn-Smith Medal,<ref name=zzz>{{Cite web|url=https://www.liverpool.ac.uk/life-sciences/news/articles/liverpool-scientists-recognised-by-the-faculty-of-public-health|title=Liverpool professors recognised by the Faculty of Public Health - Articles - School of Life Sciences - University of Liverpool|website=www.liverpool.ac.uk}}</ref> and Florence Nightingale Award.<ref name=www>{{Cite web|url=https://rss.org.uk/news-publication/news-publications/2023/general-news/florence-nightingale-award-for-excellence-in-healt/#:~:text=The+award,+named+after+the,delivered+better+outcomes+for+patients|title=Florence Nightingale Award for Excellence in Healthcare Data Analytics: 2023 winners|website=RSS}}</ref>
}}</ref> and Florence Nightingale Award.<ref name=www>{{cite web|url=https://rss.org.uk/news-publication/news-publications/2023/general-news/florence-nightingale-award-for-excellence-in-healt/#:~:text=The%20award%2C%20named%20after%20the,delivered%20better%20outcomes%20for%20patients|title=Florence Nightingale Award for Excellence in Healthcare Data Analytics: 2023 winners}}</ref>


Buchan is a Fellow of the [[Faculty of Public Health]], the [[American College of Medical Informatics]],<ref name=aaa>{{cite web|url=https://amia.org/membership/iain-buchan-md-ffph-ffci-facmi |title=AMIA: Iain Buchan, MD FFPH FFCI FACMI"}}</ref> [[British Computer Society]] and the Faculty of Clinical Informatics.<ref name=xfx>{{cite web|url=https://theconversation.com/profiles/iain-buchan-1239829|title="The Conversation: Iain Buchan }}</ref> He has also been an advisor to UK, European and international health policy groups,<ref>{{cite web|url=https://digitaltransformation.hsj.co.uk/iain-buchan|title=HSJ Digital Transformation Summit Speakers: Iain Buchan}}</ref> [[AstraZeneca]]<ref>{{cite web|url=https://www.astrazeneca.com/what-science-can-do/topics/data-science-ai/connected-medicines-innovations-data-science-ai.html|title="Connected medicines through innovations in data science and AI}}</ref>) and research organizations including [[UK Research and Innovation|UKRI]], [[Wellcome Trust]] and the UK [[National Institute for Health and Care Research]] (NIHR), for which he is a Senior Investigator.<ref name=ppp>{{cite web|url=https://www.nihr.ac.uk/documents/nihr-senior-investigators-2023/32643|title=NIHR Senior Investigators}}</ref>
Buchan is a Fellow of the [[Faculty of Public Health]], the [[American College of Medical Informatics]],<ref name=aaa>{{Cite web|url=https://amia.org/membership/iain-buchan-md-ffph-ffci-facmi|title=Iain Buchan, MD FFPH FFCI FACMI &#124; AMIA - American Medical Informatics Association|website=amia.org}}</ref> [[British Computer Society]] and the Faculty of Clinical Informatics.<ref name=xfx>{{Cite web|url=https://theconversation.com/profiles/iain-buchan-1239829|title=Iain Buchan|date=June 8, 2021|website=The Conversation}}</ref> He has also been an advisor to UK, European and international health policy groups,<ref>{{Cite web|url=https://digitaltransformation.hsj.co.uk/iain-buchan|title=Iain Buchan &#124; HSJ Digital Transformation Summit|website=digitaltransformation.hsj.co.uk}}</ref> [[AstraZeneca]]<ref>{{Cite web|url=https://www.astrazeneca.com/what-science-can-do/topics/data-science-ai/connected-medicines-innovations-data-science-ai.html|title="Connected medicines through innovations in data science and AI}}</ref>) and research organizations including [[UK Research and Innovation|UKRI]], [[Wellcome Trust]] and the UK [[National Institute for Health and Care Research]] (NIHR), for which he is a Senior Investigator.<ref name=ppp>{{Cite web|url=https://www.nihr.ac.uk/documents/nihr-senior-investigators-2023/32643|title=NIHR Senior Investigators 2023|website=www.nihr.ac.uk}}</ref>
==Education and early career==
==Education and early career==
In the 1980s, Buchan pursued medical training alongside studies in [[pharmacology]] and statistical [[software development]]. As an undergraduate, he published the first version of a statistical package called "[[StatsDirect]]." During the 1990s, as a junior doctor, he researched [[Clinical pathway|care pathways]], health [[system dynamics]], and [[Health equity|care inequities]]. Later, he trained as a public health [[Consultant (medicine)|consultant]] while conducting research in medical informatics and pursuing doctoral studies in [[computational statistics]].<ref>{{cite web|url=https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366967|title=The development of a statistical computer software resource for medical research (MD thesis, Iain Buchan)}}</ref>
In the 1980s, Buchan pursued medical training alongside studies in [[pharmacology]] and statistical [[software development]]. As an undergraduate, he published the first version of a statistical package called "[[StatsDirect]]." During the 1990s, as a junior doctor, he researched [[Clinical pathway|care pathways]], health [[system dynamics]], and [[Health equity|care inequities]]. Later, he trained as a public health [[Consultant (medicine)|consultant]] while conducting research in medical informatics and pursuing doctoral studies in [[computational statistics]].<ref>{{Cite web|url=http://www.manchester.ac.uk/escholar/uk-ac-man-scw:71360|title=The development of a statistical computer software resource for medical research|first=Iain Edward|last=Buchan|date=August 28, 2000|via=ethos.bl.uk}}</ref>


==Career==
==Career==
Buchan began his academic career in 1992 as an Honorary Clinical Lecturer at the University of Liverpool. He then served as a Research Associate in Medical Informatics at the [[University of Cambridge]] in 1996 and Senior Research Fellow in Medical Informatics at [[Wolfson College, Cambridge]] in 1997, before training as a Consultant in Public Health. In 2003, he joined the [[University of Manchester]] as a Clinical Senior Lecturer in Public Health Intelligence and was promoted in 2008 to Clinical Professor in Public Health Informatics.<ref>{{cite web|url=https://research.manchester.ac.uk/en/persons/buchan|title=University of Manchester: Iain Buchan, MD FFPH FACMI}}</ref> There, from 2003 to 2017, he founded [[Health eResearch Centre]]<ref name=sss>{{cite web|url=https://www.herc.ac.uk/2016/02/09/herc-director-named-as-mbassador-a-global-ambassador-for-manchester|title="Health eResearch Centre Director named as global Mbassador}}</ref> and co-directed the Farr Institute.<ref>{{cite web|url=https://ijpds.org/article/view/1128|title=A National Initiative in Data Science for Health: An Evaluation of the UK Farr Institute}}</ref> In the E-Science movement of the early 2000’s he conceived e-Labs and Research Objects,<ref name=eee>{{cite web|url= https://pubmed.ncbi.nlm.nih.gov/26395036|title=Combining Health Data Uses to Ignite Health System Learning}}</ref> leading to today’s Trusted Research Environments and applications in healthcare.<ref name=bleh>{{cite web|url=https://linkinghub.elsevier.com/retrieve/pii/S0167739X11001439|title=Why linked data is not enough for scientists}}</ref> At Manchester, he also invented the FARSITE system,<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/19593052/ |title=Preserving consent-for-consent with feasibility-assessment and recruitment in clinical studies: FARSITE architecture}}</ref> helping spin out NW [[eHealth]],<ref>{{cite web|url=https://patents.google.com/patent/US9471637B2/en |title=US Patent: Data selection (for clinical trials)}}</ref> and started the #DataSavesLives movement and the Connected Health Cities project.<ref name=qqq>{{cite web|url=https://www.chc-impact-report.co.uk/|title=Connected Health Cities Impact Report}}</ref>
Buchan began his academic career in 1992 as an Honorary Clinical Lecturer at the University of Liverpool. He then served as a Research Associate in Medical Informatics at the [[University of Cambridge]] in 1996 and Senior Research Fellow in Medical Informatics at [[Wolfson College, Cambridge]] in 1997, before training as a Consultant in Public Health. In 2003, he joined the [[University of Manchester]] as a Clinical Senior Lecturer in Public Health Intelligence and was promoted in 2008 to Clinical Professor in Public Health Informatics.<ref>{{Cite web|url=https://research.manchester.ac.uk/en/persons/buchan|title=Iain Buchan|website=Research Explorer The University of Manchester}}</ref> There, from 2003 to 2017, he founded [[Health eResearch Centre]]<ref name=sss>{{Cite web|url=https://www.herc.ac.uk/2016/02/09/herc-director-named-as-mbassador-a-global-ambassador-for-manchester/|title=HeRC Director named as Mbassador - a Global Ambassador|date=February 9, 2016|website=HeRC}}</ref> and co-directed the Farr Institute.<ref>{{Cite journal|url=https://ijpds.org/article/view/1128|title=A national initiative in data science for health: an evaluation of the UK Farr Institute|first1=Harry|last1=Hemingway|first2=Ronan|last2=Lyons|first3=Qianrui|last3=Li|first4=Iain|last4=Buchan|first5=John|last5=Ainsworth|first6=Jill|last6=Pell|first7=Andrew|last7=Morris|date=April 8, 2020|journal=International Journal of Population Data Science|volume=5|issue=1|via=ijpds.org|doi=10.23889/ijpds.v5i1.1128}}</ref> In the E-Science movement of the early 2000’s he conceived e-Labs and Research Objects,<ref name=eee>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/26395036/|title=Combining Health Data Uses to Ignite Health System Learning|first1=J.|last1=Ainsworth|first2=I.|last2=Buchan|date=August 28, 2015|journal=Methods of Information in Medicine|volume=54|issue=6|pages=479–487|via=PubMed|doi=10.3414/ME15-01-0064|pmid=26395036}}</ref> leading to today’s Trusted Research Environments and applications in healthcare.<ref name=bleh>{{Cite journal|url=https://www.sciencedirect.com/science/article/pii/S0167739X11001439|title=Why linked data is not enough for scientists|first1=Sean|last1=Bechhofer|first2=Iain|last2=Buchan|first3=David|last3=De Roure|first4=Paolo|last4=Missier|first5=John|last5=Ainsworth|first6=Jiten|last6=Bhagat|first7=Philip|last7=Couch|first8=Don|last8=Cruickshank|first9=Mark|last9=Delderfield|first10=Ian|last10=Dunlop|first11=Matthew|last11=Gamble|first12=Danius|last12=Michaelides|first13=Stuart|last13=Owen|first14=David|last14=Newman|first15=Shoaib|last15=Sufi|first16=Carole|last16=Goble|date=February 1, 2013|journal=Future Generation Computer Systems|volume=29|issue=2|pages=599–611|via=ScienceDirect|doi=10.1016/j.future.2011.08.004}}</ref> At Manchester, he also invented the FARSITE system,<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/19593052/|title=Preserving consent-for-consent with feasibility-assessment and recruitment in clinical studies: FARSITE architecture|first1=John|last1=Ainsworth|first2=Iain|last2=Buchan|date=August 28, 2009|journal=Studies in Health Technology and Informatics|volume=147|pages=137–148|via=PubMed|pmid=19593052}}</ref> helping spin out NW [[eHealth]],<ref>{{Cite web|url=https://patents.google.com/patent/US9471637B2/en|title=Data selection}}</ref> and started the #DataSavesLives movement and the Connected Health Cities project.<ref name=qqq>{{Cite web|url=https://www.chc-impact-report.co.uk/|title=Home &#124; Connected Health Cities Impact Report|website=Connected Health Cit}}</ref>


Subsequently, Buchan served as Director of Healthcare Research at [[Microsoft Research]] Cambridge in 2017-2018, producing two patents<ref>{{cite web|url=https://patents.google.com/patent/US20200104702A1 |title=US Patent: Gathering data in a communication system (medical applications)}}</ref><ref>{{cite web|url=https://patents.google.com/patent/US20200105381A1|title=US Patent: Gathering data in a communication system (performance applications)}}</ref> and furthering the health [[Avatar (computing)|avatar]] framework he had conceived eight years earlier.<ref name=tgt>{{cite web|url= https://www.microsoft.com/en-us/research/publication/a-unified-modeling-approach-to-data-intensive-healthcare/|title= A Unified Modeling Approach to Data-Intensive Healthcare}}</ref>
Subsequently, Buchan served as Director of Healthcare Research at [[Microsoft Research]] Cambridge in 2017-2018, producing two patents<ref>{{Cite web|url=https://patents.google.com/patent/US20200104702A1/en|title=Gathering data in a communication system}}</ref><ref>{{Cite web|url=https://patents.google.com/patent/US20200105381A1/en|title=Gathering data in a communication system}}</ref> and furthering the health [[Avatar (computing)|avatar]] framework he had conceived eight years earlier.<ref name=tgt>{{Cite journal|url=https://www.microsoft.com/en-us/research/publication/a-unified-modeling-approach-to-data-intensive-healthcare/|title=A Unified Modeling Approach to Data-Intensive Healthcare|first1=Iain|last1=Buchan|first2=John|last2=Winn|first3=Christopher|last3=Bishop|date=January 1, 2009|journal=The Fourth Paradigm: Data-Intensive Scientific Discovery|via=www.microsoft.com}}</ref>


In 2018, Buchan returned to [[Liverpool]] as the University of Liverpool's first Chair in Public Health and Clinical Informatics.<ref name=yyy/> From 2019-2022, he was the founding Executive Dean of the Institute of Population Health at Liverpool, whilst leading research responses to the COVID-19 pandemic.<ref name=ccc/><ref name=ddd/> Since 2022, he has been conducting multidisciplinary research partnerships, especially in [[health technology]]<ref name=pcu>{{cite web|url=https://www.liverpool.ac.uk/health-and-life-sciences/research/m-ric/|title=Mental Health Research for Innovation Centre (M-RIC)}}</ref> as Associate Pro Vice Chancellor for Innovation.<ref name=yyy/>
In 2018, Buchan returned to [[Liverpool]] as the University of Liverpool's first Chair in Public Health and Clinical Informatics.<ref name=yyy/> From 2019-2022, he was the founding Executive Dean of the Institute of Population Health at Liverpool, whilst leading research responses to the COVID-19 pandemic.<ref name=ccc/><ref name=ddd/> Since 2022, he has been conducting multidisciplinary research partnerships, especially in [[health technology]]<ref name=pcu>{{Cite web|url=https://www.liverpool.ac.uk/health-and-life-sciences/research/m-ric/|title=M-RIC - Faculty of Health and Life Sciences - University of Liverpool|website=www.liverpool.ac.uk}}</ref> as Associate Pro Vice Chancellor for Innovation.<ref name=yyy/>


==Research==
==Research==
Buchan's research areas encompass public health, data science, [[Health informatics|clinical informatics]], [[epidemiology]], and [[biostatistics]]. In particular, he has published in areas related to public health challenges, such as inequalities, [[obesity]], [[mental health]] and pandemic resilience, and in methodology, including [[machine learning]] in [[epidemiology]], research objects in e-science, [[learning health systems]], and the concept of a [[digital twin]]/health avatar for healthcare.<ref>{{cite web|url=https://scholar.google.com/citations?user=Lz49QrkAAAAJ&hl=en&oi=ao|title= Iain Buchan - Google Scholar Profile}}</ref>
Buchan's research areas encompass public health, data science, [[Health informatics|clinical informatics]], [[epidemiology]], and [[biostatistics]]. In particular, he has published in areas related to public health challenges, such as inequalities, [[obesity]], [[mental health]] and pandemic resilience, and in methodology, including [[machine learning]] in [[epidemiology]], research objects in e-science, [[learning health systems]], and the concept of a [[digital twin]]/health avatar for healthcare.<ref>{{Cite web|url=https://scholar.google.com/citations?user=Lz49QrkAAAAJ&hl=en&oi=ao|title=Iain Buchan|website=scholar.google.com}}</ref>


===COVID-19 response and data-intensive public health research===
===COVID-19 response and data-intensive public health research===
Buchan led the world's first evaluation of voluntary mass testing for the SARS-CoV2 antigen with lateral flow devices, working with the British Army, local and national government, public health agencies and the UK's National Health Service.<ref name=ccc/> This work provided quick proof that lateral flow devices worked as expected to detect people infected with the COVID-19 virus whether they had symptoms or not.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/34230058/|title=Performance of the Innova SARS-CoV-2 antigen rapid lateral flow test in the Liverpool asymptomatic testing pilot: population based cohort study}}</ref> Responding to media debate over the reliability of lateral flow devices, he clarified the evidence regarding a public health test versus a clinical test for COVID-19.<ref>{{cite web|url=https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00425-6/fulltext |title=Clarifying the evidence on SARS-CoV-2 antigen rapid tests in public health responses to COVID-19}}</ref> The impact of this testing was that COVID-19 hospital admissions fell by 43% initially and 25% overall.<ref>{{cite web|url=https://www.bmj.com/content/379/bmj-2022-071374|title=Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study}}</ref> The ''BMJ'' asked him and colleagues for an accompanying methodology paper on the data analysis as a blueprint of best practice.<ref>{{cite web|url=https://www.bmj.com/content/379/bmj.o2712|title=A blueprint for synthetic control methodology: a causal inference tool for evaluating natural experiments in population health}}</ref> The UK's universal access community testing policy was shaped by this work, including its demonstration of inequalities in testing uptake and barriers such as digital poverty.<ref>{{cite web|url=https://linkinghub.elsevier.com/retrieve/pii/S2666776221000843|title=" Evaluating social and spatial inequalities of large-scale rapid lateral flow SARS-CoV-2 antigen testing in COVID-19 management: An observational study of Liverpool, UK}}</ref> He had also formulated a test-to-release daily testing alternative to quarantine for close contacts of cases,<ref>{{cite web|url=https://www.bmj.com/content/372/bmj.n208|title=Put to the test: use of rapid testing technologies for covid-19}}</ref> which resulted in the Daily Contact Testing policy.<ref>{{cite web|url=https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(22)00249-8/fulltext|title="Daily testing of contacts of SARS-CoV-2 infected cases as an alternative to quarantine for key workers in Liverpool: A prospective cohort study}}</ref> He also researched COVID-19 and informed policies in other contexts including care homes,<ref>{{cite web|url=https://academic.oup.com/ageing/article/50/6/1868/6322881|title=""Enhanced lateral flow testing strategies in care homes are associated with poor adherence and were insufficient to prevent COVID-19 outbreaks: Results from a mixed methods implementation study}}</ref> hospitals,<ref>{{cite web|url=https://www.bmj.com/content/370/bmj.m3339|title=Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score}}</ref> schools,<ref>{{cite web|url=https://academic.oup.com/jpubhealth/article/45/1/e38/6522713|title="Rapid antigen testing in COVID-19 management for school-aged children: an observational study in Cheshire and Merseyside, UK}}</ref> and vaccination.<ref>{{cite web|url=https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-022-07239-z|title=Effectiveness of the BNT162b2 (Pfizer-BioNTech) and the ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines for reducing susceptibility to infection with the Delta variant (B.1.617.2) of SARS-CoV-2}}</ref>
Buchan led the world's first evaluation of voluntary mass testing for the SARS-CoV2 antigen with lateral flow devices, working with the British Army, local and national government, public health agencies and the UK's National Health Service.<ref name=ccc/> This work provided quick proof that lateral flow devices worked as expected to detect people infected with the COVID-19 virus whether they had symptoms or not.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/34230058/|title=Performance of the Innova SARS-CoV-2 antigen rapid lateral flow test in the Liverpool asymptomatic testing pilot: population based cohort study|first1=Marta|last1=García-Fiñana|first2=David M.|last2=Hughes|first3=Christopher P.|last3=Cheyne|first4=Girvan|last4=Burnside|first5=Mark|last5=Stockbridge|first6=Tom A.|last6=Fowler|first7=Veronica L.|last7=Fowler|first8=Mark H.|last8=Wilcox|first9=Malcolm G.|last9=Semple|first10=Iain|last10=Buchan|date=July 6, 2021|journal=BMJ (Clinical research ed.)|volume=374|pages=n1637|via=PubMed|doi=10.1136/bmj.n1637|pmid=34230058|pmc=8259455}}</ref> Responding to media debate over the reliability of lateral flow devices, he clarified the evidence regarding a public health test versus a clinical test for COVID-19.<ref>{{Cite web|url=https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00425-6/fulltext|title=Clarifying the evidence on SARS-CoV-2 antigen rapid tests in public health responses to COVID-19 - The Lancet}}</ref> The impact of this testing was that COVID-19 hospital admissions fell by 43% initially and 25% overall.<ref>{{Cite journal|url=https://www.bmj.com/content/379/bmj-2022-071374|title=Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study|first1=Xingna|last1=Zhang|first2=Ben|last2=Barr|first3=Mark|last3=Green|first4=David|last4=Hughes|first5=Matthew|last5=Ashton|first6=Dimitrios|last6=Charalampopoulos|first7=Marta|last7=García-Fiñana|first8=Iain|last8=Buchan|date=November 23, 2022|journal=BMJ|volume=379|pages=e071374|via=www.bmj.com|doi=10.1136/bmj-2022-071374|pmid=36418047}}</ref> The ''BMJ'' asked him and colleagues for an accompanying methodology paper on the data analysis as a blueprint of best practice.<ref>{{Cite journal|url=https://www.bmj.com/content/379/bmj.o2712|title=A blueprint for synthetic control methodology: a causal inference tool for evaluating natural experiments in population health|first1=Ben|last1=Barr|first2=Xingna|last2=Zhang|first3=Mark|last3=Green|first4=Iain|last4=Buchan|date=November 23, 2022|journal=BMJ|volume=379|pages=o2712|via=www.bmj.com|doi=10.1136/bmj.o2712|pmid=36418028}}</ref> The UK's universal access community testing policy was shaped by this work, including its demonstration of inequalities in testing uptake and barriers such as digital poverty.<ref>{{Cite journal|url=https://www.sciencedirect.com/science/article/pii/S2666776221000843|title=Evaluating social and spatial inequalities of large scale rapid lateral flow SARS-CoV-2 antigen testing in COVID-19 management: An observational study of Liverpool, UK (November 2020 to January 2021)|first1=Mark A.|last1=Green|first2=Marta|last2=García-Fiñana|first3=Ben|last3=Barr|first4=Girvan|last4=Burnside|first5=Christopher P.|last5=Cheyne|first6=David|last6=Hughes|first7=Matthew|last7=Ashton|first8=Sally|last8=Sheard|first9=Iain E.|last9=Buchan|date=July 1, 2021|journal=The Lancet Regional Health - Europe|volume=6|pages=100107|via=ScienceDirect|doi=10.1016/j.lanepe.2021.100107}}</ref> He had also formulated a test-to-release daily testing alternative to quarantine for close contacts of cases,<ref>{{Cite journal|url=https://www.bmj.com/content/372/bmj.n208|title=Put to the test: use of rapid testing technologies for covid-19|first1=Alex|last1=Crozier|first2=Selina|last2=Rajan|first3=Iain|last3=Buchan|first4=Martin|last4=McKee|date=February 3, 2021|journal=BMJ|volume=372|pages=n208|via=www.bmj.com|doi=10.1136/bmj.n208|pmid=33536228}}</ref> which resulted in the Daily Contact Testing policy.<ref>{{Cite web|url=https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(22)00249-8/fulltext|title=Daily testing of contacts of SARS-CoV-2 infected cases as an alternative to quarantine for key workers in Liverpool: A prospective cohort study - eClinicalMedicine}}</ref> He also researched COVID-19 and informed policies in other contexts including care homes,<ref>{{cite web|url=https://academic.oup.com/ageing/article/50/6/1868/6322881|title=""Enhanced lateral flow testing strategies in care homes are associated with poor adherence and were insufficient to prevent COVID-19 outbreaks: Results from a mixed methods implementation study}}</ref> hospitals,<ref>{{Cite journal|url=https://www.bmj.com/content/370/bmj.m3339|title=Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score|first1=Stephen R.|last1=Knight|first2=Antonia|last2=Ho|first3=Riinu|last3=Pius|first4=Iain|last4=Buchan|first5=Gail|last5=Carson|first6=Thomas M.|last6=Drake|first7=Jake|last7=Dunning|first8=Cameron J.|last8=Fairfield|first9=Carrol|last9=Gamble|first10=Christopher A.|last10=Green|first11=Rishi|last11=Gupta|first12=Sophie|last12=Halpin|first13=Hayley E.|last13=Hardwick|first14=Karl A.|last14=Holden|first15=Peter W.|last15=Horby|first16=Clare|last16=Jackson|first17=Kenneth A.|last17=Mclean|first18=Laura|last18=Merson|first19=Jonathan S.|last19=Nguyen-Van-Tam|first20=Lisa|last20=Norman|first21=Mahdad|last21=Noursadeghi|first22=Piero L.|last22=Olliaro|first23=Mark G.|last23=Pritchard|first24=Clark D.|last24=Russell|first25=Catherine A.|last25=Shaw|first26=Aziz|last26=Sheikh|first27=Tom|last27=Solomon|first28=Cathie|last28=Sudlow|first29=Olivia V.|last29=Swann|first30=Lance CW|last30=Turtle|first31=Peter JM|last31=Openshaw|first32=J. Kenneth|last32=Baillie|first33=Malcolm G.|last33=Semple|first34=Annemarie B.|last34=Docherty|first35=Ewen M.|last35=Harrison|date=September 9, 2020|journal=BMJ|volume=370|pages=m3339|via=www.bmj.com|doi=10.1136/bmj.m3339|pmid=32907855}}</ref> schools,<ref>{{cite web|url=https://academic.oup.com/jpubhealth/article/45/1/e38/6522713|title="Rapid antigen testing in COVID-19 management for school-aged children: an observational study in Cheshire and Merseyside, UK}}</ref> and vaccination.<ref>{{Cite journal|url=https://doi.org/10.1186/s12879-022-07239-z|title=Effectiveness of the BNT162b2 (Pfizer-BioNTech) and the ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines for reducing susceptibility to infection with the Delta variant (B.1.617.2) of SARS-CoV-2|first1=Karan|last1=Pattni|first2=Daniel|last2=Hungerford|first3=Sarah|last3=Adams|first4=Iain|last4=Buchan|first5=Christopher P.|last5=Cheyne|first6=Marta|last6=García-Fiñana|first7=Ian|last7=Hall|first8=David M.|last8=Hughes|first9=Christopher E.|last9=Overton|first10=Xingna|last10=Zhang|first11=Kieran J.|last11=Sharkey|date=March 20, 2022|journal=BMC Infectious Diseases|volume=22|issue=1|pages=270|via=BioMed Central|doi=10.1186/s12879-022-07239-z|pmid=35307024|pmc=PMC8934524}}</ref>


In Spring 2021, Buchan applied previous testing and other COVID-19 risk mitigation research to address the issue of young people being vaccinated last and missing out on social development opportunities due to the continued lockdown of significant cultural events.<ref>{{cite web|url=https://news.liverpool.ac.uk/2021/05/07/blog-how-science-and-society-came-together-for-the-events-research-programme/|title=Blog: How science and society came together for the Events Research Programme}}</ref> So, he led a city-scale reopening (after COVID-19 lockdowns) of a cluster of business, nightclub and a music festival events – resulting in minimal SARS-CoV-2 transmission, high levels of enjoyment, low levels of fear over risks, and demonstrated the effectiveness of collaborative strategies for health security at mass cultural gatherings.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/37351911/|title=COVID-19 risk mitigation in reopening mass cultural events: population-based observational study for the UK Events Research Programme in Liverpool City Region}}</ref>
In Spring 2021, Buchan applied previous testing and other COVID-19 risk mitigation research to address the issue of young people being vaccinated last and missing out on social development opportunities due to the continued lockdown of significant cultural events.<ref>{{Cite web|url=https://news.liverpool.ac.uk/2021/05/07/blog-how-science-and-society-came-together-for-the-events-research-programme/|title=Blog: How science and society came together for the Events Research Programme - University of Liverpool News|first=Sean|last=Neagle|date=May 7, 2021}}</ref> So, he led a city-scale reopening (after COVID-19 lockdowns) of a cluster of business, nightclub and a music festival events – resulting in minimal SARS-CoV-2 transmission, high levels of enjoyment, low levels of fear over risks, and demonstrated the effectiveness of collaborative strategies for health security at mass cultural gatherings.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/37351911/|title=COVID-19 risk mitigation in reopening mass cultural events: population-based observational study for the UK Events Research Programme in Liverpool City Region|date=June 23, 2023|journal=Journal of the Royal Society of Medicine|pages=1410768231182389|via=PubMed|doi=10.1177/01410768231182389|pmid=37351911}}</ref>


===Public health and data science===
===Public health and data science===
Buchan' research has underscored the importance of trust in health data utilization, highlighting transparency, consent, and public involvement,<ref>{{cite web|url=https://www.bmj.com/content/354/bmj.i3636|title=Big health data: the need to earn public trust}}</ref> with a specific focus on the role of national governments in the reuse of health data.<ref>{{cite web|url=https://www.sciencedirect.com/science/article/abs/pii/S138650561200202X?via%3Dihub|title=Trustworthy reuse of health data: A transnational perspective}}</ref> Building on earlier work in civic data linkage and public health intelligence,<ref name=eee/><ref name=qqq/> he established the first Civic Data Cooperative in Liverpool in late 2019,<ref name=ret/> and put a National Grid of Civic Data Cooperatives forward to the UK Government as means of improving health system innovation and resilience.<ref>{{cite web|url=https://acrobat.adobe.com/link/track?uri=urn%3Aaaid%3Ascds%3AUS%3Aa0271ed8-f813-4bb3-a0e4-342ab024e58f#pageNum=1|title=A national grid of civic data cooperatives for health, in The Health of the Nation report}}</ref>
Buchan' research has underscored the importance of trust in health data utilization, highlighting transparency, consent, and public involvement,<ref>{{Cite journal|url=https://www.bmj.com/content/354/bmj.i3636|title=Big health data: the need to earn public trust|first1=Tjeerd-Pieter van|last1=Staa|first2=Ben|last2=Goldacre|first3=Iain|last3=Buchan|first4=Liam|last4=Smeeth|date=July 14, 2016|journal=BMJ|volume=354|pages=i3636|via=www.bmj.com|doi=10.1136/bmj.i3636|pmid=27418128}}</ref> with a specific focus on the role of national governments in the reuse of health data.<ref>{{Cite journal|url=https://www.sciencedirect.com/science/article/pii/S138650561200202X|title=Trustworthy reuse of health data: A transnational perspective|first1=A.|last1=Geissbuhler|first2=C.|last2=Safran|first3=I.|last3=Buchan|first4=R.|last4=Bellazzi|first5=S.|last5=Labkoff|first6=K.|last6=Eilenberg|first7=A.|last7=Leese|first8=C.|last8=Richardson|first9=J.|last9=Mantas|first10=P.|last10=Murray|first11=G.|last11=De Moor|date=January 1, 2013|journal=International Journal of Medical Informatics|volume=82|issue=1|pages=1–9|via=ScienceDirect|doi=10.1016/j.ijmedinf.2012.11.003}}</ref> Building on earlier work in civic data linkage and public health intelligence,<ref name=eee/><ref name=qqq/> he established the first Civic Data Cooperative in Liverpool in late 2019,<ref name=ret/> and put a National Grid of Civic Data Cooperatives forward to the UK Government as means of improving health system innovation and resilience.<ref>{{Cite web|url=https://acrobat.adobe.com/link/track?uri=urn:aaid:scds:US:a0271ed8-f813-4bb3-a0e4-342ab024e58f#pageNum=1|title=Adobe Acrobat|website=acrobat.adobe.com}}</ref>


Buchan engaged machine learning researchers from Microsoft Research in the field of epidemiology, leading to discoveries pertaining to asthma and allergies.<ref>{{cite web|url=https://www.atsjournals.org/doi/10.1164/rccm.200907-1101OC|title=Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study}}</ref><ref>{{cite web|url=https://www.atsjournals.org/doi/10.1164/rccm.201309-1700OC|title=Trajectories of Lung Function during Childhood}}</ref> Most recently, he formed the Mental Health Research for Innovation Centre of the UK Government's Mental Health Mission.<ref name=pcu/>
Buchan engaged machine learning researchers from Microsoft Research in the field of epidemiology, leading to discoveries pertaining to asthma and allergies.<ref>{{Cite journal|url=https://www.atsjournals.org/doi/10.1164/rccm.200907-1101OC|title=Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study|first1=Angela|last1=Simpson|first2=Vincent Y. F.|last2=Tan|first3=John|last3=Winn|first4=Markus|last4=Svensén|first5=Christopher M.|last5=Bishop|first6=David E.|last6=Heckerman|first7=Iain|last7=Buchan|first8=Adnan|last8=Custovic|date=June 1, 2010|journal=American Journal of Respiratory and Critical Care Medicine|volume=181|issue=11|pages=1200–1206|via=CrossRef|doi=10.1164/rccm.200907-1101OC}}</ref><ref>{{Cite journal|url=https://www.atsjournals.org/doi/10.1164/rccm.201309-1700OC|title=Trajectories of Lung Function during Childhood|first1=Danielle C. M.|last1=Belgrave|first2=Iain|last2=Buchan|first3=Christopher|last3=Bishop|first4=Lesley|last4=Lowe|first5=Angela|last5=Simpson|first6=Adnan|last6=Custovic|date=May 1, 2014|journal=American Journal of Respiratory and Critical Care Medicine|volume=189|issue=9|pages=1101–1109|via=CrossRef|doi=10.1164/rccm.201309-1700OC|pmid=24606581|pmc=PMC4098108}}</ref> Most recently, he formed the Mental Health Research for Innovation Centre of the UK Government's Mental Health Mission.<ref name=pcu/>


Buchan conducted research on other health data science directions including Trusted/Trustworthy Research Environments with Research Objects<ref name=bleh/> and eLab networks to improve research reproducibility and tackle the widespread problem of calibration drift in clinical prediction models.<ref>{{cite web|url=https://academic.oup.com/ejcts/article/43/6/1146/347982|title=Dynamic trends in cardiac surgery: why the logistic EuroSCORE is no longer suitable for contemporary cardiac surgery and implications for future risk models}}</ref> He drew attention to the problem of multimorbidity and the need for a unified modelling approach, not only for discovery science but also for personalized care via interactive Health Avatars.<ref name=tgt/>
Buchan conducted research on other health data science directions including Trusted/Trustworthy Research Environments with Research Objects<ref name=bleh/> and eLab networks to improve research reproducibility and tackle the widespread problem of calibration drift in clinical prediction models.<ref>{{cite web|url=https://academic.oup.com/ejcts/article/43/6/1146/347982|title=Dynamic trends in cardiac surgery: why the logistic EuroSCORE is no longer suitable for contemporary cardiac surgery and implications for future risk models}}</ref> He drew attention to the problem of multimorbidity and the need for a unified modelling approach, not only for discovery science but also for personalized care via interactive Health Avatars.<ref name=tgt/>


Some of Buchan's most highly-cited papers arose from applications of his statistical software to public health problems.<ref>{{cite web|url=https://jamanetwork.com/journals/jama/article-abstract/203145|title=Adherence to Antiretroviral Therapy in Sub-Saharan Africa and North America A Meta-analysis}}</ref> He has worked to make better use of routine health record data with combined biostatistics and machine learning approaches to predicting clinical outcomes.<ref>{{cite web|url=https://www.nature.com/articles/s42256-020-0197-y|title=Causal inference and counterfactual prediction in machine learning for actionable healthcare}}</ref>
Some of Buchan's most highly-cited papers arose from applications of his statistical software to public health problems.<ref>{{Cite journal|url=https://doi.org/10.1001/jama.296.6.679|title=Adherence to Antiretroviral Therapy in Sub-Saharan Africa and North AmericaA Meta-analysis|first1=Edward J.|last1=Mills|first2=Jean B.|last2=Nachega|first3=Iain|last3=Buchan|first4=James|last4=Orbinski|first5=Amir|last5=Attaran|first6=Sonal|last6=Singh|first7=Beth|last7=Rachlis|first8=Ping|last8=Wu|first9=Curtis|last9=Cooper|first10=Lehana|last10=Thabane|first11=Kumanan|last11=Wilson|first12=Gordon H.|last12=Guyatt|first13=David R.|last13=Bangsberg|date=August 9, 2006|journal=JAMA|volume=296|issue=6|pages=679–690|via=Silverchair|doi=10.1001/jama.296.6.679}}</ref> He has worked to make better use of routine health record data with combined biostatistics and machine learning approaches to predicting clinical outcomes.<ref>{{Cite journal|url=https://www.nature.com/articles/s42256-020-0197-y|title=Causal inference and counterfactual prediction in machine learning for actionable healthcare|first1=Mattia|last1=Prosperi|first2=Yi|last2=Guo|first3=Matt|last3=Sperrin|first4=James S.|last4=Koopman|first5=Jae S.|last5=Min|first6=Xing|last6=He|first7=Shannan|last7=Rich|first8=Mo|last8=Wang|first9=Iain E.|last9=Buchan|first10=Jiang|last10=Bian|date=July 28, 2020|journal=Nature Machine Intelligence|volume=2|issue=7|pages=369–375|via=www.nature.com|doi=10.1038/s42256-020-0197-y}}</ref>


Buchan's data science research has focused on addressing public health challenges, including obesity, inequalities, mental health, and pandemics. He raised a warning over obesity among pre-school children using routinely collected data,<ref>{{Cite journal|url=https://www.bmj.com/content/322/7282/326|title=Prevalence of overweight and obese children between 1989 and 1998: population based series of cross sectional studies|first1=Peter|last1=Bundred|first2=Denise|last2=Kitchiner|first3=Iain|last3=Buchan|date=February 10, 2001|journal=BMJ|volume=322|issue=7282|pages=326|via=www.bmj.com|doi=10.1136/bmj.322.7282.326|pmid=11159654}}</ref> then alerted to the high burden of cancer attributable to obesity,<ref>{{Cite journal|url=https://onlinelibrary.wiley.com/doi/10.1002/ijc.24803|title=Incident cancer burden attributable to excess body mass index in 30 European countries|first1=Andrew G.|last1=Renehan|first2=Isabelle|last2=Soerjomataram|first3=Margaret|last3=Tyson|first4=Matthias|last4=Egger|first5=Marcel|last5=Zwahlen|first6=Jan Willem|last6=Coebergh|first7=Iain|last7=Buchan|date=February 1, 2010|journal=International Journal of Cancer|volume=126|issue=3|pages=692–702|via=CrossRef|doi=10.1002/ijc.24803}}</ref> then highlighted the challenges of using consumer technology data to understand weight control.<ref>{{Cite journal|url=https://www.jmir.org/2016/1/e17|title=Who Self-Weighs and What Do They Gain From It? A Retrospective Comparison Between Smart Scale Users and the General Population in England|first1=Matthew|last1=Sperrin|first2=Helen|last2=Rushton|first3=William G.|last3=Dixon|first4=Alexis|last4=Normand|first5=Joffrey|last5=Villard|first6=Angela|last6=Chieh|first7=Iain|last7=Buchan|date=January 21, 2016|journal=Journal of Medical Internet Research|volume=18|issue=1|pages=e4767|via=www.jmir.org|doi=10.2196/jmir.4767}}</ref> He drew attention to the excess of premature deaths in North compared with South England and the need for regional growth incentives.<ref>{{Cite journal|url=https://www.bmj.com/content/342/bmj.d508|title=Trends in mortality from 1965 to 2008 across the English north-south divide: comparative observational study|first1=John M.|last1=Hacking|first2=Sara|last2=Muller|first3=Iain E.|last3=Buchan|date=February 15, 2011|journal=BMJ|volume=342|pages=d508|via=www.bmj.com|doi=10.1136/bmj.d508|pmid=21325004}}</ref><ref>{{Cite journal|url=https://jech.bmj.com/content/71/9/928|title=North-South disparities in English mortality1965–2015: longitudinal population study|first1=Iain E.|last1=Buchan|first2=Evangelos|last2=Kontopantelis|first3=Matthew|last3=Sperrin|first4=Tarani|last4=Chandola|first5=Tim|last5=Doran|date=September 1, 2017|journal=J Epidemiol Community Health|volume=71|issue=9|pages=928–936|via=jech.bmj.com|doi=10.1136/jech-2017-209195|pmid=28784630}}</ref><ref>{{Cite web|url=https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(18)30177-4/fulltext|title=Disparities in mortality among 25–44-year-olds in England: a longitudinal, population-based study - The Lancet Public Health}}</ref><ref>{{Cite web|url=https://www.manchester.ac.uk/discover/magazine/opinion/time-to-address-the-north-south-health-divide/|title=Time to address the north south health divide|website=The University of Manchester}}</ref>
Buchan's data science research has focused on addressing public health challenges, including obesity, inequalities, mental health, and pandemics. He raised a warning over obesity among pre-school children using routinely collected data,<ref>{{cite web|url=https://www.bmj.com/content/322/7282/326|title="Prevalence of overweight and obese children between 1989 and 1998: population-based series of cross-sectional studies"
}}</ref> then alerted to the high burden of cancer attributable to obesity,<ref>{{cite web|url=https://onlinelibrary.wiley.com/doi/10.1002/ijc.24803|title=Incident cancer burden attributable to excess body mass index in 30 European countries"
}}</ref> then highlighted the challenges of using consumer technology data to understand weight control.<ref>{{cite web|url=https://www.jmir.org/2016/1/e17/|title=Who self-weights and what do they gain from it?}}</ref> He drew attention to the excess of premature deaths in North compared with South England and the need for regional growth incentives.<ref>{{cite web|url=https://www.bmj.com/content/342/bmj.d508|title=Trends in mortality from 1965 to 2008 across the English north-south divide: comparative observational study}}</ref><ref>{{cite web|url=https://jech.bmj.com/content/71/9/928|title=North-South disparities in English mortality1965–2015: longitudinal population study}}</ref><ref>{{cite web|url=https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(18)30177-4/fulltext|title=Disparities in mortality among 25–44-year-olds in England: a longitudinal, population-based study}}</ref><ref>{{cite web|url=https://www.manchester.ac.uk/discover/magazine/opinion/time-to-address-the-north-south-health-divide/|title=Time to address the north-south health divide}}</ref>


==Awards and honors==
==Awards and honors==
Line 59: Line 56:
*2017 – Fellow, [[British Computer Society]]<ref name=xfx/>
*2017 – Fellow, [[British Computer Society]]<ref name=xfx/>
*2017 (renewed 2023) – Senior Investigator, [[National Institute for Health and Care Research]]<ref name=ppp/>
*2017 (renewed 2023) – Senior Investigator, [[National Institute for Health and Care Research]]<ref name=ppp/>
*2021 – Best Use of Health Data, HTN Health Tech Awards<ref>{{cite web|url=https://www.cipha.nhs.uk/news/cipha-and-care-alliance-win-best-use-of-data-at-htn-awards/|title=CIPHA and Care Alliance win Best Use of Data at HTN Awards}}</ref>
*2021 – Best Use of Health Data, HTN Health Tech Awards<ref>{{Cite web|url=https://www.cipha.nhs.uk/news/cipha-and-care-alliance-win-best-use-of-data-at-htn-awards/|title=CIPHA - CIPHA and Care Alliance win Best Use of Data at HTN Awards|website=www.cipha.nhs.uk}}</ref>
*2022 – Healthcare Project of the Year, BioNoW<ref name=fff/>
*2022 – Healthcare Project of the Year, BioNoW<ref name=fff/>
*2022 – Alwyn-Smith Medal, The [[Faculty of Public Health]]<ref name=zzz/>
*2022 – Alwyn-Smith Medal, The [[Faculty of Public Health]]<ref name=zzz/>

Revision as of 07:36, 28 August 2023

Iain Edward Buchan
Born
Liverpool
Occupation(s)Public health physician, data scientist and academic
AwardsFlorence Nightingale Award, Royal Statistical Society (2023)
Alwyn-Smith Medal, Faculty of Public Health (2022)
Academic background
EducationBSc (hons)., Pharmacology (1989)
MB ChB., Medicine (1991)
MD., Computational statistics (2000)
Alma materUniversity of Liverpool
University of Cambridge
Academic work
InstitutionsUniversity of Liverpool

Iain Edward Buchan is a public health physician, data scientist and academic. He holds a personal Chair in Public Health and Clinical Informatics, was the founding Executive Dean of the Institute of Population Health, and is Associate Pro Vice Chancellor for Innovation at the University of Liverpool.[1]

Buchan's research focuses on health data science and informatics to enable better prevention, early intervention, and value of care for patients and populations. He is most known for leading the world's first evaluation of mass rapid antigen testing,[2] and the first realistic risk-mitigated reopening of mass events during the UK's response to the COVID-19 pandemic.[3] He also developed the Civic Data Cooperative,[4] which resulted in the Combined Intelligence for Population Health Action (CIPHA) system during the pandemic.[5] He is the recipient of HTN Health Tech Award,[6] Alwyn-Smith Medal,[7] and Florence Nightingale Award.[8]

Buchan is a Fellow of the Faculty of Public Health, the American College of Medical Informatics,[9] British Computer Society and the Faculty of Clinical Informatics.[10] He has also been an advisor to UK, European and international health policy groups,[11] AstraZeneca[12]) and research organizations including UKRI, Wellcome Trust and the UK National Institute for Health and Care Research (NIHR), for which he is a Senior Investigator.[13]

Education and early career

In the 1980s, Buchan pursued medical training alongside studies in pharmacology and statistical software development. As an undergraduate, he published the first version of a statistical package called "StatsDirect." During the 1990s, as a junior doctor, he researched care pathways, health system dynamics, and care inequities. Later, he trained as a public health consultant while conducting research in medical informatics and pursuing doctoral studies in computational statistics.[14]

Career

Buchan began his academic career in 1992 as an Honorary Clinical Lecturer at the University of Liverpool. He then served as a Research Associate in Medical Informatics at the University of Cambridge in 1996 and Senior Research Fellow in Medical Informatics at Wolfson College, Cambridge in 1997, before training as a Consultant in Public Health. In 2003, he joined the University of Manchester as a Clinical Senior Lecturer in Public Health Intelligence and was promoted in 2008 to Clinical Professor in Public Health Informatics.[15] There, from 2003 to 2017, he founded Health eResearch Centre[16] and co-directed the Farr Institute.[17] In the E-Science movement of the early 2000’s he conceived e-Labs and Research Objects,[18] leading to today’s Trusted Research Environments and applications in healthcare.[19] At Manchester, he also invented the FARSITE system,[20] helping spin out NW eHealth,[21] and started the #DataSavesLives movement and the Connected Health Cities project.[22]

Subsequently, Buchan served as Director of Healthcare Research at Microsoft Research Cambridge in 2017-2018, producing two patents[23][24] and furthering the health avatar framework he had conceived eight years earlier.[25]

In 2018, Buchan returned to Liverpool as the University of Liverpool's first Chair in Public Health and Clinical Informatics.[1] From 2019-2022, he was the founding Executive Dean of the Institute of Population Health at Liverpool, whilst leading research responses to the COVID-19 pandemic.[2][3] Since 2022, he has been conducting multidisciplinary research partnerships, especially in health technology[26] as Associate Pro Vice Chancellor for Innovation.[1]

Research

Buchan's research areas encompass public health, data science, clinical informatics, epidemiology, and biostatistics. In particular, he has published in areas related to public health challenges, such as inequalities, obesity, mental health and pandemic resilience, and in methodology, including machine learning in epidemiology, research objects in e-science, learning health systems, and the concept of a digital twin/health avatar for healthcare.[27]

COVID-19 response and data-intensive public health research

Buchan led the world's first evaluation of voluntary mass testing for the SARS-CoV2 antigen with lateral flow devices, working with the British Army, local and national government, public health agencies and the UK's National Health Service.[2] This work provided quick proof that lateral flow devices worked as expected to detect people infected with the COVID-19 virus whether they had symptoms or not.[28] Responding to media debate over the reliability of lateral flow devices, he clarified the evidence regarding a public health test versus a clinical test for COVID-19.[29] The impact of this testing was that COVID-19 hospital admissions fell by 43% initially and 25% overall.[30] The BMJ asked him and colleagues for an accompanying methodology paper on the data analysis as a blueprint of best practice.[31] The UK's universal access community testing policy was shaped by this work, including its demonstration of inequalities in testing uptake and barriers such as digital poverty.[32] He had also formulated a test-to-release daily testing alternative to quarantine for close contacts of cases,[33] which resulted in the Daily Contact Testing policy.[34] He also researched COVID-19 and informed policies in other contexts including care homes,[35] hospitals,[36] schools,[37] and vaccination.[38]

In Spring 2021, Buchan applied previous testing and other COVID-19 risk mitigation research to address the issue of young people being vaccinated last and missing out on social development opportunities due to the continued lockdown of significant cultural events.[39] So, he led a city-scale reopening (after COVID-19 lockdowns) of a cluster of business, nightclub and a music festival events – resulting in minimal SARS-CoV-2 transmission, high levels of enjoyment, low levels of fear over risks, and demonstrated the effectiveness of collaborative strategies for health security at mass cultural gatherings.[40]

Public health and data science

Buchan' research has underscored the importance of trust in health data utilization, highlighting transparency, consent, and public involvement,[41] with a specific focus on the role of national governments in the reuse of health data.[42] Building on earlier work in civic data linkage and public health intelligence,[18][22] he established the first Civic Data Cooperative in Liverpool in late 2019,[4] and put a National Grid of Civic Data Cooperatives forward to the UK Government as means of improving health system innovation and resilience.[43]

Buchan engaged machine learning researchers from Microsoft Research in the field of epidemiology, leading to discoveries pertaining to asthma and allergies.[44][45] Most recently, he formed the Mental Health Research for Innovation Centre of the UK Government's Mental Health Mission.[26]

Buchan conducted research on other health data science directions including Trusted/Trustworthy Research Environments with Research Objects[19] and eLab networks to improve research reproducibility and tackle the widespread problem of calibration drift in clinical prediction models.[46] He drew attention to the problem of multimorbidity and the need for a unified modelling approach, not only for discovery science but also for personalized care via interactive Health Avatars.[25]

Some of Buchan's most highly-cited papers arose from applications of his statistical software to public health problems.[47] He has worked to make better use of routine health record data with combined biostatistics and machine learning approaches to predicting clinical outcomes.[48]

Buchan's data science research has focused on addressing public health challenges, including obesity, inequalities, mental health, and pandemics. He raised a warning over obesity among pre-school children using routinely collected data,[49] then alerted to the high burden of cancer attributable to obesity,[50] then highlighted the challenges of using consumer technology data to understand weight control.[51] He drew attention to the excess of premature deaths in North compared with South England and the need for regional growth incentives.[52][53][54][55]

Awards and honors

Selected articles

  • Bundred P, Kitchiner D, Buchan I. Prevalence of overweight and obese children between 1989 and 1998: population based series of cross-sectional studies. BMJ. 2001 Feb 10;322(7282):326-8. doi: 10.1136/bmj.322.7282.326. PMID: 11159654.
  • Simpson A, Tan VY, Winn J, Svensén M, Bishop CM, Heckerman DE, Buchan I, Custovic A. Beyond atopy: multiple patterns of sensitization in relation to asthma in a birth cohort study. Am J Respir Crit Care Med. 2010 Jun 1;181(11):1200-6. doi: 10.1164/rccm.200907-1101OC. PMID: 20167852.
  • Hacking JM, Muller S, Buchan I. Trends in mortality from 1965 to 2008 across the English north-south divide: comparative observational study. BMJ. 2011 Feb 15;342:d508. doi: 10.1136/bmj.d508. PMID: 21325004; PMCID: PMC3039695
  • Bechhofer S, Buchan I, De Roure D, et al. Why linked data is not enough for scientists. Future Generation Computer Systems 2013;29(2):599–611 doi.org/10.1016/j.future.2011.08.004
  • Belgrave DC, Buchan I, Bishop C, Lowe L, Simpson A, Custovic A. Trajectories of lung function during childhood. Am J Respir Crit Care Med. 2014 May 1;189(9):1101-9. doi: 10.1164/rccm.201309-1700OC. PMID: 24606581.
  • Ainsworth J, Buchan I. Combining Health Data Uses to Ignite Health System Learning. Methods Inf Med. 2015;54(6):479-87. doi: 10.3414/ME15-01-0064. Epub 2015 Sep 17. PMID: 26395036.
  • Sperrin M, Candlish J, Badrick E, Renehan A, Buchan I. Collider Bias Is Only a Partial Explanation for the Obesity Paradox. Epidemiology. 2016 Jul;27(4):525-30. doi: 10.1097/EDE.0000000000000493. PMID: 27075676.
  • García-Fiñana M, Hughes DM, Cheyne CP, Burnside G, Stockbridge M, Fowler TA, Fowler VL, Wilcox MH, Semple MG, Buchan I. Performance of the Innova SARS-CoV-2 antigen rapid lateral flow test in the Liverpool asymptomatic testing pilot: population-based cohort study. BMJ. 2021 Jul 6;374:n1637. doi: 10.1136/bmj.n1637. PMID: 34230058; PMCID: PMC8259455.
  • Zhang X, Barr B, Green M, Hughes D, Ashton M, Charalampopoulos D, García-Fiñana M, Buchan I. Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study. BMJ. 2022 Nov 23;379:e071374. doi: 10.1136/bmj-2022-071374. PMID: 36418047; PMCID: PMC9682337.
  • Burnside G, Cheyne CP, Leeming G, Humann M, Darby A, Green MA, Crozier A, Maskell S, O'Halloran K, Musi E, Carmi E, Khan N, Fisher D, Corcoran R, Dunning J, Edmunds WJ, Tharmaratnam K, Hughes DM, Malki-Epshtein L, Cook M, Roberts BM, Gallagher E, Howell K, Chand M, Kemp R, Boulter M, Fowler T, Semple MG, Coffey E, Ashton M; COVID-19 Genomics UK (COG-UK) Consortium; García-Fiñana M, Buchan I. COVID-19 risk mitigation in reopening mass cultural events: population-based observational study for the UK Events Research Programme in Liverpool City Region. J R Soc Med. 2023 Jun 23:1410768231182389. doi: 10.1177/01410768231182389. PMID: 37351911.

References

  1. ^ a b c "Security - University of Liverpool". www.liverpool.ac.uk.
  2. ^ a b c "Liverpool Covid-SMART Pilot - Research - University of Liverpool". www.liverpool.ac.uk.
  3. ^ a b Morgan, Jennifer (June 23, 2023). "Study shows UK led way in reopening big cultural events safely after Covid lockdowns - University of Liverpool News".
  4. ^ a b "About". Civic Data Cooperative.
  5. ^ a b "CIPHA health data platform and University partner BiVictriX Therapeutics triumph at Bionow awards". Civic Data Cooperative. October 26, 2022.
  6. ^ "CIPHA - News". www.cipha.nhs.uk.
  7. ^ a b "Liverpool professors recognised by the Faculty of Public Health - Articles - School of Life Sciences - University of Liverpool". www.liverpool.ac.uk.
  8. ^ a b "Florence Nightingale Award for Excellence in Healthcare Data Analytics: 2023 winners". RSS.
  9. ^ a b "Iain Buchan, MD FFPH FFCI FACMI | AMIA - American Medical Informatics Association". amia.org.
  10. ^ a b "Iain Buchan". The Conversation. June 8, 2021.
  11. ^ "Iain Buchan | HSJ Digital Transformation Summit". digitaltransformation.hsj.co.uk.
  12. ^ ""Connected medicines through innovations in data science and AI".
  13. ^ a b "NIHR Senior Investigators 2023". www.nihr.ac.uk.
  14. ^ Buchan, Iain Edward (August 28, 2000). "The development of a statistical computer software resource for medical research" – via ethos.bl.uk.
  15. ^ "Iain Buchan". Research Explorer The University of Manchester.
  16. ^ a b "HeRC Director named as Mbassador - a Global Ambassador". HeRC. February 9, 2016.
  17. ^ Hemingway, Harry; Lyons, Ronan; Li, Qianrui; Buchan, Iain; Ainsworth, John; Pell, Jill; Morris, Andrew (April 8, 2020). "A national initiative in data science for health: an evaluation of the UK Farr Institute". International Journal of Population Data Science. 5 (1). doi:10.23889/ijpds.v5i1.1128 – via ijpds.org.
  18. ^ a b Ainsworth, J.; Buchan, I. (August 28, 2015). "Combining Health Data Uses to Ignite Health System Learning". Methods of Information in Medicine. 54 (6): 479–487. doi:10.3414/ME15-01-0064. PMID 26395036 – via PubMed.
  19. ^ a b Bechhofer, Sean; Buchan, Iain; De Roure, David; Missier, Paolo; Ainsworth, John; Bhagat, Jiten; Couch, Philip; Cruickshank, Don; Delderfield, Mark; Dunlop, Ian; Gamble, Matthew; Michaelides, Danius; Owen, Stuart; Newman, David; Sufi, Shoaib; Goble, Carole (February 1, 2013). "Why linked data is not enough for scientists". Future Generation Computer Systems. 29 (2): 599–611. doi:10.1016/j.future.2011.08.004 – via ScienceDirect.
  20. ^ Ainsworth, John; Buchan, Iain (August 28, 2009). "Preserving consent-for-consent with feasibility-assessment and recruitment in clinical studies: FARSITE architecture". Studies in Health Technology and Informatics. 147: 137–148. PMID 19593052 – via PubMed.
  21. ^ "Data selection".
  22. ^ a b "Home | Connected Health Cities Impact Report". Connected Health Cit.
  23. ^ "Gathering data in a communication system".
  24. ^ "Gathering data in a communication system".
  25. ^ a b Buchan, Iain; Winn, John; Bishop, Christopher (January 1, 2009). "A Unified Modeling Approach to Data-Intensive Healthcare". The Fourth Paradigm: Data-Intensive Scientific Discovery – via www.microsoft.com.
  26. ^ a b "M-RIC - Faculty of Health and Life Sciences - University of Liverpool". www.liverpool.ac.uk.
  27. ^ "Iain Buchan". scholar.google.com.
  28. ^ García-Fiñana, Marta; Hughes, David M.; Cheyne, Christopher P.; Burnside, Girvan; Stockbridge, Mark; Fowler, Tom A.; Fowler, Veronica L.; Wilcox, Mark H.; Semple, Malcolm G.; Buchan, Iain (July 6, 2021). "Performance of the Innova SARS-CoV-2 antigen rapid lateral flow test in the Liverpool asymptomatic testing pilot: population based cohort study". BMJ (Clinical research ed.). 374: n1637. doi:10.1136/bmj.n1637. PMC 8259455. PMID 34230058 – via PubMed.
  29. ^ "Clarifying the evidence on SARS-CoV-2 antigen rapid tests in public health responses to COVID-19 - The Lancet".
  30. ^ Zhang, Xingna; Barr, Ben; Green, Mark; Hughes, David; Ashton, Matthew; Charalampopoulos, Dimitrios; García-Fiñana, Marta; Buchan, Iain (November 23, 2022). "Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study". BMJ. 379: e071374. doi:10.1136/bmj-2022-071374. PMID 36418047 – via www.bmj.com.
  31. ^ Barr, Ben; Zhang, Xingna; Green, Mark; Buchan, Iain (November 23, 2022). "A blueprint for synthetic control methodology: a causal inference tool for evaluating natural experiments in population health". BMJ. 379: o2712. doi:10.1136/bmj.o2712. PMID 36418028 – via www.bmj.com.
  32. ^ Green, Mark A.; García-Fiñana, Marta; Barr, Ben; Burnside, Girvan; Cheyne, Christopher P.; Hughes, David; Ashton, Matthew; Sheard, Sally; Buchan, Iain E. (July 1, 2021). "Evaluating social and spatial inequalities of large scale rapid lateral flow SARS-CoV-2 antigen testing in COVID-19 management: An observational study of Liverpool, UK (November 2020 to January 2021)". The Lancet Regional Health - Europe. 6: 100107. doi:10.1016/j.lanepe.2021.100107 – via ScienceDirect.
  33. ^ Crozier, Alex; Rajan, Selina; Buchan, Iain; McKee, Martin (February 3, 2021). "Put to the test: use of rapid testing technologies for covid-19". BMJ. 372: n208. doi:10.1136/bmj.n208. PMID 33536228 – via www.bmj.com.
  34. ^ "Daily testing of contacts of SARS-CoV-2 infected cases as an alternative to quarantine for key workers in Liverpool: A prospective cohort study - eClinicalMedicine".
  35. ^ """Enhanced lateral flow testing strategies in care homes are associated with poor adherence and were insufficient to prevent COVID-19 outbreaks: Results from a mixed methods implementation study".
  36. ^ Knight, Stephen R.; Ho, Antonia; Pius, Riinu; Buchan, Iain; Carson, Gail; Drake, Thomas M.; Dunning, Jake; Fairfield, Cameron J.; Gamble, Carrol; Green, Christopher A.; Gupta, Rishi; Halpin, Sophie; Hardwick, Hayley E.; Holden, Karl A.; Horby, Peter W.; Jackson, Clare; Mclean, Kenneth A.; Merson, Laura; Nguyen-Van-Tam, Jonathan S.; Norman, Lisa; Noursadeghi, Mahdad; Olliaro, Piero L.; Pritchard, Mark G.; Russell, Clark D.; Shaw, Catherine A.; Sheikh, Aziz; Solomon, Tom; Sudlow, Cathie; Swann, Olivia V.; Turtle, Lance CW; Openshaw, Peter JM; Baillie, J. Kenneth; Semple, Malcolm G.; Docherty, Annemarie B.; Harrison, Ewen M. (September 9, 2020). "Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score". BMJ. 370: m3339. doi:10.1136/bmj.m3339. PMID 32907855 – via www.bmj.com.
  37. ^ ""Rapid antigen testing in COVID-19 management for school-aged children: an observational study in Cheshire and Merseyside, UK".
  38. ^ Pattni, Karan; Hungerford, Daniel; Adams, Sarah; Buchan, Iain; Cheyne, Christopher P.; García-Fiñana, Marta; Hall, Ian; Hughes, David M.; Overton, Christopher E.; Zhang, Xingna; Sharkey, Kieran J. (March 20, 2022). "Effectiveness of the BNT162b2 (Pfizer-BioNTech) and the ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines for reducing susceptibility to infection with the Delta variant (B.1.617.2) of SARS-CoV-2". BMC Infectious Diseases. 22 (1): 270. doi:10.1186/s12879-022-07239-z. PMC 8934524. PMID 35307024 – via BioMed Central.{{cite journal}}: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link)
  39. ^ Neagle, Sean (May 7, 2021). "Blog: How science and society came together for the Events Research Programme - University of Liverpool News".
  40. ^ "COVID-19 risk mitigation in reopening mass cultural events: population-based observational study for the UK Events Research Programme in Liverpool City Region". Journal of the Royal Society of Medicine: 1410768231182389. June 23, 2023. doi:10.1177/01410768231182389. PMID 37351911 – via PubMed.
  41. ^ Staa, Tjeerd-Pieter van; Goldacre, Ben; Buchan, Iain; Smeeth, Liam (July 14, 2016). "Big health data: the need to earn public trust". BMJ. 354: i3636. doi:10.1136/bmj.i3636. PMID 27418128 – via www.bmj.com.
  42. ^ Geissbuhler, A.; Safran, C.; Buchan, I.; Bellazzi, R.; Labkoff, S.; Eilenberg, K.; Leese, A.; Richardson, C.; Mantas, J.; Murray, P.; De Moor, G. (January 1, 2013). "Trustworthy reuse of health data: A transnational perspective". International Journal of Medical Informatics. 82 (1): 1–9. doi:10.1016/j.ijmedinf.2012.11.003 – via ScienceDirect.
  43. ^ "Adobe Acrobat". acrobat.adobe.com.
  44. ^ Simpson, Angela; Tan, Vincent Y. F.; Winn, John; Svensén, Markus; Bishop, Christopher M.; Heckerman, David E.; Buchan, Iain; Custovic, Adnan (June 1, 2010). "Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study". American Journal of Respiratory and Critical Care Medicine. 181 (11): 1200–1206. doi:10.1164/rccm.200907-1101OC – via CrossRef.
  45. ^ Belgrave, Danielle C. M.; Buchan, Iain; Bishop, Christopher; Lowe, Lesley; Simpson, Angela; Custovic, Adnan (May 1, 2014). "Trajectories of Lung Function during Childhood". American Journal of Respiratory and Critical Care Medicine. 189 (9): 1101–1109. doi:10.1164/rccm.201309-1700OC. PMC 4098108. PMID 24606581 – via CrossRef.{{cite journal}}: CS1 maint: PMC format (link)
  46. ^ "Dynamic trends in cardiac surgery: why the logistic EuroSCORE is no longer suitable for contemporary cardiac surgery and implications for future risk models".
  47. ^ Mills, Edward J.; Nachega, Jean B.; Buchan, Iain; Orbinski, James; Attaran, Amir; Singh, Sonal; Rachlis, Beth; Wu, Ping; Cooper, Curtis; Thabane, Lehana; Wilson, Kumanan; Guyatt, Gordon H.; Bangsberg, David R. (August 9, 2006). "Adherence to Antiretroviral Therapy in Sub-Saharan Africa and North AmericaA Meta-analysis". JAMA. 296 (6): 679–690. doi:10.1001/jama.296.6.679 – via Silverchair.
  48. ^ Prosperi, Mattia; Guo, Yi; Sperrin, Matt; Koopman, James S.; Min, Jae S.; He, Xing; Rich, Shannan; Wang, Mo; Buchan, Iain E.; Bian, Jiang (July 28, 2020). "Causal inference and counterfactual prediction in machine learning for actionable healthcare". Nature Machine Intelligence. 2 (7): 369–375. doi:10.1038/s42256-020-0197-y – via www.nature.com.
  49. ^ Bundred, Peter; Kitchiner, Denise; Buchan, Iain (February 10, 2001). "Prevalence of overweight and obese children between 1989 and 1998: population based series of cross sectional studies". BMJ. 322 (7282): 326. doi:10.1136/bmj.322.7282.326. PMID 11159654 – via www.bmj.com.
  50. ^ Renehan, Andrew G.; Soerjomataram, Isabelle; Tyson, Margaret; Egger, Matthias; Zwahlen, Marcel; Coebergh, Jan Willem; Buchan, Iain (February 1, 2010). "Incident cancer burden attributable to excess body mass index in 30 European countries". International Journal of Cancer. 126 (3): 692–702. doi:10.1002/ijc.24803 – via CrossRef.
  51. ^ Sperrin, Matthew; Rushton, Helen; Dixon, William G.; Normand, Alexis; Villard, Joffrey; Chieh, Angela; Buchan, Iain (January 21, 2016). "Who Self-Weighs and What Do They Gain From It? A Retrospective Comparison Between Smart Scale Users and the General Population in England". Journal of Medical Internet Research. 18 (1): e4767. doi:10.2196/jmir.4767 – via www.jmir.org.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  52. ^ Hacking, John M.; Muller, Sara; Buchan, Iain E. (February 15, 2011). "Trends in mortality from 1965 to 2008 across the English north-south divide: comparative observational study". BMJ. 342: d508. doi:10.1136/bmj.d508. PMID 21325004 – via www.bmj.com.
  53. ^ Buchan, Iain E.; Kontopantelis, Evangelos; Sperrin, Matthew; Chandola, Tarani; Doran, Tim (September 1, 2017). "North-South disparities in English mortality1965–2015: longitudinal population study". J Epidemiol Community Health. 71 (9): 928–936. doi:10.1136/jech-2017-209195. PMID 28784630 – via jech.bmj.com.
  54. ^ "Disparities in mortality among 25–44-year-olds in England: a longitudinal, population-based study - The Lancet Public Health".
  55. ^ "Time to address the north south health divide". The University of Manchester.
  56. ^ "CIPHA - CIPHA and Care Alliance win Best Use of Data at HTN Awards". www.cipha.nhs.uk.
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