Greaves, Felix

Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Murray, C. J. L., Aravkin, A. Y., Zheng, P., Abbafati, C., Abbas, K. M., Abbasi-Kangevari, M., Abd-Allah, F., Abdelalim, A., Abdollahi, M., Abdollahpour, I., et al. (2020) · The Lancet

Cardiovascular Health and Risk FactorsGlobal Health and Epidemiology

Cited by 9,854

Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Vos, T., Allen, C., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, A., Carter, A., Casey, D. C., Charlson, F. J., Chen, A. Z., et al. (2016) · The Lancet

Global Health and EpidemiologyInsurance, Mortality, Demography, Risk Management

Cited by 7,253

Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

Wang, H., Naghavi, M., Allen, C., Barber, R. M., Bhutta, Z. A., Carter, A., Casey, D. C., Charlson, F. J., Chen, A. Z., Coates, M. M., et al. (2016) · The Lancet

Insurance, Mortality, Demography, Risk ManagementGlobal Maternal and Child Health

Cited by 6,596

Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Griswold, M. G., Fullman, N., Hawley, C., Arian, N., Zimsen, S. R. M., Tymeson, H. D., Venkateswaran, V., Tapp, A. D., Forouzanfar, M. H., Salama, J. S., et al. (2018) · The Lancet

Alcohol Consumption and Health EffectsSubstance Abuse Treatment and Outcomes

Cited by 3,524

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Reitsma, M. B., Kendrick, P. J., Ababneh, E., Abbafati, C., Abbasi-Kangevari, M., Abdoli, A., Abedi, A., Abhilash, E. S., Abila, D. B., Aboyans, V., et al. (2021) · The Lancet

Smoking Behavior and CessationGlobal Cancer Incidence and Screening

Cited by 1,759

The need for a complex systems model of evidence for public health

Rutter, H., Savona, N., Glonti, K., Bibby, J., Cummins, S., Finegood, D. T., Greaves, F., Harper, L., Hawe, P., Moore, L., et al. (2017) · The Lancet

Evaluation and Performance AssessmentHealth Policy Implementation Science

Cited by 1,260

Developing and evaluating digital interventions to promote behavior change in health and health care: recommendations resulting from an international workshop

Michie, S., Yardley, L., West, R., Patrick, K., & Greaves, F. (2017) · Journal of Medical Internet Research

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 865

Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015

Barber, R. M., Fullman, N., Sorensen, R. J. D., Bollyky, T., McKee, M., Nolte, E., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., et al. (2017) · The Lancet

Global Health Care IssuesHealthcare Systems and Reforms

Cited by 764

Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Bryazka, D., Reitsma, M. B., Griswold, M. G., Abate, K. H., Abbafati, C., Abbasi-Kangevari, M., Abbasi-Kangevari, Z., Abdoli, A., Abdollahi, M., Abdullah, A. Y. M., et al. (2022) · The Lancet

Alcohol Consumption and Health EffectsSubstance Abuse Treatment and Outcomes

Cited by 582

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Sounderajah, V., Guni, A., Liu, X., Collins, G. S., Karthikesalingam, A., Markar, S. R., Golub, R. M., Denniston, A. K., Shetty, S., Moher, D., et al. (2025) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 352

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Sounderajah, V., Ashrafian, H., Golub, R. M., Shetty, S., De Fauw, J., Hooft, L., Moons, K., Collins, G., Moher, D., Bossuyt, P. M., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 333

‘Gamification’: Influencing health behaviours with games

King, D., Greaves, F., Exeter, C., & Darzi, A. (2013) · Journal of the Royal Society of Medicine

Educational Games and GamificationMobile Health and mHealth Applications

Cited by 319

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Burstein, R., Henry, N. J., Collison, M. L., Marczak, L. B., Sligar, A., Watson, S., Marquez, N., Abbasalizad-Farhangi, M., Abbasi, M., Abd-Allah, F., et al. (2019) · Nature

Global Maternal and Child HealthMaternal and Neonatal Healthcare

Cited by 276

Harnessing the cloud of patient experience: using social media to detect poor quality healthcare

Greaves, F., Ramirez-Cano, D., Millett, C., Darzi, A., & Donaldson, L. (2013) · BMJ Quality & Safety

Patient Satisfaction in HealthcareSentiment Analysis and Opinion Mining

Cited by 272

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

Sounderajah, V., Ashrafian, H., Aggarwal, R., De Fauw, J., Denniston, A. K., Greaves, F., Karthikesalingam, A., King, D., Liu, X., Markar, S. R., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 270

An introduction to digital determinants of health

Chidambaram, S., Jain, B., Jain, U., Mwavu, R., Baru, R., Thomas, B., Greaves, F., Jayakumar, S., Jain, P., Rojo, M., et al. (2024) · PLOS Digital Health

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 175

Medicines associated with dependence or withdrawal: a mixed-methods public health review and national database study in England

Marsden, J., White, M., Annand, F., Burkinshaw, P., Carville, S., Eastwood, B., Kelleher, M., Knight, J., O'Connor, R., Tran, A., et al. (2019) · The Lancet Psychiatry

Opioid Use Disorder TreatmentPharmaceutical Practices and Patient Outcomes

Cited by 106