Islam, Sheikh Mohammed Shariful

Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Naghavi, M., Kyu, H. H., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abafita, B. J., Abaraogu, U. O., Abbafati, C., Abbasi, M., et al. (2025) · The Lancet

Insurance, Mortality, Demography, Risk ManagementGlobal Health and Epidemiology

Cited by 595

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

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: All-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Paulson, K. R., Kamath, A. M., Alam, T., Bienhoff, K., Abady, G. G., Abbas, J., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abd-Elsalam, S. M., et al. (2021) · The Lancet

Global Maternal and Child HealthMaternal and Neonatal Healthcare

Cited by 498

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Rodriguez-Martinez, A., Zhou, B., Sophiea, M. K., Bentham, J., Paciorek, C. J., Iurilli, M. L., Carrillo-Larco, R. M., Bennett, J. E., Di Cesare, M., Taddei, C., et al. (2020) · The Lancet

Obesity, Physical Activity, DietHuman Health and Disease

Cited by 417

Psychometric validation of the Bangla Fear of COVID-19 Scale: confirmatory factor analysis and rasch analysis

Sakib, N., Bhuiyan, A. K. M. I., Hossain, S., Al Mamun, F., Hosen, I., Abdullah, A. H., Sarker, M. A., Mohiuddin, M. S., Rayhan, I., Hossain, M., et al. (2022) · International Journal of Mental Health and Addiction

COVID-19 and Mental HealthPsychometric Methodologies and Testing

Cited by 414

Factors associated with psychological distress, fear and coping strategies during the COVID-19 pandemic in Australia

Rahman, M. A., Hoque, N., Alif, S. M., Salehin, M., Islam, S. M. S., Banik, B., Sharif, A., Nazim, N. B., Sultana, F., & Cross, W. (2020) · Globalization and Health

COVID-19 and Mental HealthMaternal Mental Health During Pregnancy and Postpartum

Cited by 327

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

Association of dietary nutrients with blood lipids and blood pressure in 18 countries: a cross-sectional analysis from the PURE study

Mente, A., Dehghan, M., Rangarajan, S., McQueen, M., Dagenais, G., Wielgosz, A., Lear, S., Li, W., Chen, H., Yi, S., et al. (2017) · The Lancet Diabetes & Endocrinology

Nutritional Studies and DietFatty Acid Research and Health

Cited by 268

Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Haakenstad, A., Yearwood, J. A., Fullman, N., Bintz, C., Bienhoff, K., Weaver, M. R., Nandakumar, V., LeGrand, K. E., Knight, M., Abbafati, C., et al. (2022) · The Lancet Global Health

Global Health Care IssuesHealthcare Systems and Practices

Cited by 258

The global epidemiology and health burden of the autism spectrum: findings from the Global Burden of Disease Study 2021.

Santomauro, D. F., Erskine, H. E., Mantilla Herrera, A. M., Miller, P. A., Shadid, J., Hagins, H., Addo, I. Y., Adnani, Q. E. S., Ahinkorah, B. O., Ahmed, A., et al. (2025) · The Lancet Psychiatry

Autism Spectrum Disorder ResearchDown syndrome and intellectual disability research

Cited by 223

Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1

Galles, N. C., Liu, P. Y., Updike, R. L., Fullman, N., Nguyen, J., Rolfe, S., Sbarra, A. N., Schipp, M. F., Marks, A., Abady, G. G., et al. (2021) · The Lancet

Vaccine Coverage and HesitancyGlobal Maternal and Child Health

Cited by 215

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17

Deshpande, A., Miller-Petrie, M. K., Lindstedt, P. A., Baumann, M. M., Johnson, K. B., Blacker, B. F., Abbastabar, H., Abd-Allah, F., Abdelalim, A., Abdollahpour, I., et al. (2020) · The Lancet Global Health

Child Nutrition and Water AccessWater Resource Management and Quality

Cited by 187

Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990–2050

Micah, A. E., Cogswell, I. E., Cunningham, B., Ezoe, S., Harle, A. C., Maddison, E. R., McCracken, D., Nomura, S., Simpson, K. E., Stutzman, H. N., et al. (2021) · The Lancet

Global Health Care IssuesInternational Development and Aid

Cited by 162

Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023

Haeuser, E., Byrne, S., Nguyen, J., Raggi, C., McLaughlin, S. A., Bisignano, C., Harris, A. A., Smith, A. E., Lindstedt, P. A., Smith, G., et al. (2025) · The Lancet

Vaccine Coverage and HesitancyGlobal Maternal and Child Health

Cited by 143

Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

NCD Risk Factor Collaboration (NCD-RisC), Zhou, B., Sheffer, K. E., Bennett, J. E., Gregg, E. W., Danaei, G., Singleton, R. K., Shaw, J. E., Mishra, A., Lhoste, V. P. F., et al. (2023) · Nature Medicine

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 94

Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study

Abdalrada, A. S., Abawajy, J., Al-Quraishi, T., & Islam, S. M. S. (2022) · Journal of Diabetes & Metabolic Disorders

Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 78

Diminishing benefits of urban living for children and adolescents' growth and development

NCD Risk Factor Collaboration (NCD-RisC), Mishra, A., Zhou, B., Rodriguez-Martinez, A., Bixby, H., Singleton, R. K., Carrillo-Larco, R. M., Sheffer, K. E., Paciorek, C. J., Bennett, J. E., et al. (2023) · Nature

Obesity, Physical Activity, DietHuman Health and Disease

Cited by 70

Validation and Acceptability of a Cuffless Wrist-Worn Wearable Blood Pressure Monitoring Device Among Users and Health Care Professionals: Mixed Methods Study

Islam, S. M. S., Cartledge, S., Karmakar, C., Rawstorn, J. C., Fraser, S. F., Chow, C., & Maddison, R. (2019) · JMIR mHealth and uHealth

Non-Invasive Vital Sign MonitoringBlood Pressure and Hypertension Studies

Cited by 57

Mobile phone intervention for increasing adherence to treatment for type 2 diabetes in an urban area of Bangladesh: protocol for a randomized controlled trial

Islam, S. M. S., Lechner, A., Ferrari, U., Froeschl, G., Alam, D. S., Holle, R., Seissler, J., & Niessen, L. W. (2014) · BMC Health Services Research

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 56

The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

Abdar, M., Khosravi, A., Islam, S. M. S., Acharya, U. R., & Vasilakos, A. V. (2022) · IEEE Systems, Man, and Cybernetics Magazine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

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Web-based interventions for dietary behavior in adults with type 2 diabetes: systematic review of randomized controlled trials

Dening, J., Islam, S. M. S., George, E., & Maddison, R. (2020) · Journal of Medical Internet Research

Diabetes Management and EducationMobile Health and mHealth Applications

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Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging

Sobhi, N., Sadeghi-Bazargani, Y., Mirzaei, M., Abdollahi, M., Jafarizadeh, A., Pedrammehr, S., Alizadehsani, R., Tan, R.-S., Islam, S. M. S., & Acharya, U. R. (2025) · Journal of Diabetes & Metabolic Disorders

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare

Cited by 39

Examining Development Processes for Text Messaging Interventions to Prevent Cardiovascular Disease: Systematic Literature Review

Ricci-Cabello, I., Bobrow, K., Islam, S. M. S., Chow, C. K., Maddison, R., Whittaker, R., & Farmer, A. J. (2019) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 36

A web-based low carbohydrate diet intervention significantly improves glycaemic control in adults with type 2 diabetes: results of the T2Diet Study randomised controlled trial

Dening, J., Mohebbi, M., Abbott, G., George, E. S., Ball, K., & Islam, S. M. S. (2023) · Nutrition & Diabetes

Diet and metabolism studiesDiabetes Management and Research

Cited by 31