Biography:Iain Buchan

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Short description: British public health physician and data scientist
Iain Edward Buchan
Iain Buchan selfie.jpeg
Born
Liverpool
OccupationPublic 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 the W.H. Duncan Chair of Public Health Systems 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 has written 337 articles and his work has been cited of 26000 times according to Google Scholar.[2] He is most known for leading the world's first evaluation of mass rapid antigen testing,[3] and the first realistic risk-mitigated reopening of mass events during the UK's response to the COVID-19 pandemic.[4] He also developed the Civic Data Cooperative,[5] which resulted in the Combined Intelligence for Population Health Action (CIPHA) system during the pandemic.[6] He is the recipient of HTN Health Tech Award,[7] Alwyn-Smith Medal,[8] and Florence Nightingale Award.[9]

Buchan is a Fellow of the Faculty of Public Health, the American College of Medical Informatics,[10] British Computer Society and the Faculty of Clinical Informatics.[11] He has also been an advisor to UK, European and international health policy groups,[12] AstraZeneca[13]) 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.[14]

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.[15]

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.[16] There, from 2003 to 2017, he founded Health eResearch Centre[17] and co-directed the Farr Institute.[18] In the E-Science movement of the early 2000s he conceived e-Labs and Research Objects,[19] leading to today's Trusted Research Environments and applications in healthcare.[20] At Manchester, he also invented the FARSITE system,[21] helping spin out NW eHealth,[22] and started the #DataSavesLives movement and the Connected Health Cities project.[23]

Subsequently, Buchan served as Director of Healthcare Research at Microsoft Research Cambridge in 2017–2018, producing two patents[24][25] and furthering the health avatar framework he had conceived eight years earlier.[26]

In 2018, Buchan returned to Liverpool as the University of Liverpool's first chair in Public Health and Clinical Informatics.[1] From 2019 to 2022, he was the founding Executive Dean of the Institute of Population Health at Liverpool, whilst leading research responses to the COVID-19 pandemic.[3][4] Since 2022, he has been conducting multidisciplinary research partnerships, especially in health technology[27] 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.[2]

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.[3] 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,[19][23] he established the first Civic Data Cooperative in Liverpool in late 2019,[5] 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.[27]

Buchan conducted research on other health data science directions including Trusted/Trustworthy Research Environments with Research Objects[20] 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.[26]

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

  • 2012 – Fellow, American College of Medical Informatics[10]
  • 2014 – Manchester Ambassador, Greater Manchester Combined Authority[17]
  • 2017 – Fellow, British Computer Society[11]
  • 2017 (renewed 2023) – Senior Investigator, National Institute for Health and Care Research[14]
  • 2021 – Best Use of Health Data, HTN Health Tech Awards[56]
  • 2022 – Healthcare Project of the Year, BioNoW[6]
  • 2022 – Alwyn-Smith Medal, The Faculty of Public Health[8]
  • 2023 – Florence Nightingale Award, Royal Statistical Society[9]

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. ↑ 1.0 1.1 1.2 "Security - University of Liverpool". https://www.liverpool.ac.uk/it/security/. 
  2. ↑ 2.0 2.1 "Iain Buchan". https://scholar.google.com/citations?user=Lz49QrkAAAAJ&hl=en&oi=ao. 
  3. ↑ 3.0 3.1 3.2 "Liverpool Covid-SMART Pilot - Research - University of Liverpool". https://www.liverpool.ac.uk/research/research-themes/infectious-diseases/coronavirus-research/covid-smart-pilot/. 
  4. ↑ 4.0 4.1 Morgan, Jennifer (June 23, 2023). "Study shows UK led way in reopening big cultural events safely after Covid lockdowns - University of Liverpool News". https://news.liverpool.ac.uk/2023/06/23/study-shows-uk-led-way-in-reopening-big-cultural-events-safely-after-covid-lockdowns/. 
  5. ↑ 5.0 5.1 "About". https://civicdatacooperative.com/about/. 
  6. ↑ 6.0 6.1 "CIPHA health data platform and University partner BiVictriX Therapeutics triumph at Bionow awards". October 26, 2022. https://civicdatacooperative.com/cipha-health-data-platform-and-university-partner-bivictrix-therapeutics-triumph-at-bionow-awards/. 
  7. ↑ "CIPHA - News". https://www.cipha.nhs.uk/news/. 
  8. ↑ 8.0 8.1 "Liverpool professors recognised by the Faculty of Public Health - Articles - School of Life Sciences - University of Liverpool". https://www.liverpool.ac.uk/life-sciences/news/articles/liverpool-scientists-recognised-by-the-faculty-of-public-health. 
  9. ↑ 9.0 9.1 "Florence Nightingale Award for Excellence in Healthcare Data Analytics: 2023 winners". 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. 
  10. ↑ 10.0 10.1 "Iain Buchan, MD FFPH FFCI FACMI | AMIA - American Medical Informatics Association". https://amia.org/membership/iain-buchan-md-ffph-ffci-facmi. 
  11. ↑ 11.0 11.1 "Iain Buchan". June 8, 2021. https://theconversation.com/profiles/iain-buchan-1239829. 
  12. ↑ "Iain Buchan | HSJ Digital Transformation Summit". https://digitaltransformation.hsj.co.uk/iain-buchan. 
  13. ↑ "Connected medicines through innovations in data science and AI". https://www.astrazeneca.com/what-science-can-do/topics/data-science-ai/connected-medicines-innovations-data-science-ai.html. 
  14. ↑ 14.0 14.1 "NIHR Senior Investigators 2023". https://www.nihr.ac.uk/documents/nihr-senior-investigators-2023/32643. 
  15. ↑ Buchan, Iain Edward (August 28, 2000). "The development of a statistical computer software resource for medical research". http://www.manchester.ac.uk/escholar/uk-ac-man-scw:71360. 
  16. ↑ "Iain Buchan". https://research.manchester.ac.uk/en/persons/buchan. 
  17. ↑ 17.0 17.1 "HeRC Director named as Mbassador - a Global Ambassador". February 9, 2016. https://www.herc.ac.uk/2016/02/09/herc-director-named-as-mbassador-a-global-ambassador-for-manchester/. 
  18. ↑ 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): 1128. doi:10.23889/ijpds.v5i1.1128. PMID 32935051. PMC 7480324. https://ijpds.org/article/view/1128. 
  19. ↑ 19.0 19.1 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. 
  20. ↑ 20.0 20.1 Bechhofer, Sean; Buchan, Iain; De Roure, David; Missier, Paolo; Ainsworth, John; Bhagat, Jiten; Couch, Philip; Cruickshank, Don et al. (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. https://www.sciencedirect.com/science/article/pii/S0167739X11001439. 
  21. ↑ 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. https://pubmed.ncbi.nlm.nih.gov/19593052/. 
  22. ↑ "Data selection". https://patents.google.com/patent/US9471637B2/en. 
  23. ↑ 23.0 23.1 "Home | Connected Health Cities Impact Report". https://www.chc-impact-report.co.uk/. 
  24. ↑ "Gathering data in a communication system". https://patents.google.com/patent/US20200104702A1/en. 
  25. ↑ "Gathering data in a communication system". https://patents.google.com/patent/US20200105381A1/en. 
  26. ↑ 26.0 26.1 Buchan, Iain; Winn, John; Bishop, Christopher (January 1, 2009). "A Unified Modeling Approach to Data-Intensive Healthcare". The Fourth Paradigm: Data-Intensive Scientific Discovery. https://www.microsoft.com/en-us/research/publication/a-unified-modeling-approach-to-data-intensive-healthcare/. 
  27. ↑ 27.0 27.1 "M-RIC - Faculty of Health and Life Sciences - University of Liverpool". https://www.liverpool.ac.uk/health-and-life-sciences/research/m-ric/. 
  28. ↑ García-Fiñana, Marta; Hughes, David M.; Cheyne, Christopher P.; Burnside, Girvan; Stockbridge, Mark; Fowler, Tom A.; Fowler, Veronica L.; Wilcox, Mark H. et al. (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. PMID 34230058. 
  29. ↑ "Clarifying the evidence on SARS-CoV-2 antigen rapid tests in public health responses to COVID-19 - The Lancet". https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00425-6/fulltext. 
  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. PMC 9682337. https://www.bmj.com/content/379/bmj-2022-071374. 
  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. https://www.bmj.com/content/379/bmj.o2712. 
  32. ↑ Green, Mark A.; García-Fiñana, Marta; Barr, Ben; Burnside, Girvan; Cheyne, Christopher P.; Hughes, David; Ashton, Matthew; Sheard, Sally et al. (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. PMID 34002172. 
  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. https://www.bmj.com/content/372/bmj.n208. 
  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". https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(22)00249-8/fulltext. 
  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". https://academic.oup.com/ageing/article/50/6/1868/6322881. 
  36. ↑ Knight, Stephen R.; Ho, Antonia; Pius, Riinu; Buchan, Iain; Carson, Gail; Drake, Thomas M.; Dunning, Jake; Fairfield, Cameron J. et al. (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. PMC 7116472. https://www.bmj.com/content/370/bmj.m3339. 
  37. ↑ "Rapid antigen testing in COVID-19 management for school-aged children: an observational study in Cheshire and Merseyside, UK". https://academic.oup.com/jpubhealth/article/45/1/e38/6522713. 
  38. ↑ Pattni, Karan; Hungerford, Daniel; Adams, Sarah; Buchan, Iain; Cheyne, Christopher P.; García-Fiñana, Marta; Hall, Ian; Hughes, David M. et al. (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. PMID 35307024. 
  39. ↑ Neagle, Sean (May 7, 2021). "Blog: How science and society came together for the Events Research Programme - University of Liverpool News". https://news.liverpool.ac.uk/2021/05/07/blog-how-science-and-society-came-together-for-the-events-research-programme/. 
  40. ↑ Burnside, Girvan et al. (June 23, 2023). "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. doi:10.1177/01410768231182389. PMID 37351911. 
  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. https://www.bmj.com/content/354/bmj.i3636. 
  42. ↑ Geissbuhler, A.; Safran, C.; Buchan, I.; Bellazzi, R.; Labkoff, S.; Eilenberg, K.; Leese, A.; Richardson, C. et al. (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. PMID 23182430. https://www.sciencedirect.com/science/article/pii/S138650561200202X. 
  43. ↑ "Adobe Acrobat". https://acrobat.adobe.com/link/track?uri=urn:aaid:scds:US:a0271ed8-f813-4bb3-a0e4-342ab024e58f#pageNum=1. 
  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. PMID 20167852. https://www.atsjournals.org/doi/10.1164/rccm.200907-1101OC. 
  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. PMID 24606581. 
  46. ↑ "Dynamic trends in cardiac surgery: why the logistic EuroSCORE is no longer suitable for contemporary cardiac surgery and implications for future risk models". https://academic.oup.com/ejcts/article/43/6/1146/347982. 
  47. ↑ Mills, Edward J.; Nachega, Jean B.; Buchan, Iain; Orbinski, James; Attaran, Amir; Singh, Sonal; Rachlis, Beth; Wu, Ping et al. (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. PMID 16896111. https://doi.org/10.1001/jama.296.6.679. 
  48. ↑ Prosperi, Mattia; Guo, Yi; Sperrin, Matt; Koopman, James S.; Min, Jae S.; He, Xing; Rich, Shannan; Wang, Mo et al. (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. https://www.nature.com/articles/s42256-020-0197-y. 
  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): 326–328. doi:10.1136/bmj.322.7282.326. PMID 11159654. PMC 26573. https://www.bmj.com/content/322/7282/326. 
  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. PMID 19645011. 
  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. PMID 26794900. PMC 4742620. https://www.jmir.org/2016/1/e17. 
  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. PMC 3039695. https://www.bmj.com/content/342/bmj.d508. 
  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. PMC 5561382. https://jech.bmj.com/content/71/9/928. 
  54. ↑ "Disparities in mortality among 25–44-year-olds in England: a longitudinal, population-based study - The Lancet Public Health". https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(18)30177-4/fulltext. 
  55. ↑ "Time to address the north south health divide". https://www.manchester.ac.uk/discover/magazine/opinion/time-to-address-the-north-south-health-divide/. 
  56. ↑ "CIPHA - CIPHA and Care Alliance win Best Use of Data at HTN Awards". https://www.cipha.nhs.uk/news/cipha-and-care-alliance-win-best-use-of-data-at-htn-awards/. 



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