Imperial College London

ProfessorSalmanRawaf

Faculty of MedicineSchool of Public Health

Director of WHO Collaborating Centre
 
 
 
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Contact

 

+44 (0)20 7594 8814s.rawaf

 
 
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Assistant

 

Ms Ela Augustyniak +44 (0)20 7594 8603

 
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Location

 

311Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Publication Type
Year
to

354 results found

Thomson AM, McHugh TA, Oron AP, Teply C, Lonberg N, Vilchis Tella V, Wilner LB, Fuller K, Hagins H, Aboagye RG, Aboye MB, Abu-Gharbieh E, Abu-Zaid A, Addo IY, Ahinkorah BO, Ahmad A, AlRyalat SAS, Amu H, Aravkin AY, Arulappan J, Atout MMW, Badiye AD, Bagherieh S, Banach M, Banakar M, Bardhan M, Barrow A, Bedane DA, Bensenor IM, Bhagavathula AS, Bhardwaj P, Bhardwaj PV, Bhat AN, Bhutta ZA, Bilalaga MM, Bishai JD, Bitaraf S, Boloor A, Butt MH, Chattu VK, Chu D-T, Dadras O, Dai X, Danaei B, Dang AK, Demisse FW, Dhimal M, Diaz D, Djalalinia S, Dongarwar D, Elhadi M, Elmonem MA, Esezobor CI, Etaee F, Eyawo O, Fagbamigbe AF, Fatehizadeh A, Force LM, Gardner WM, Ghaffari K, Gill PS, Golechha M, Goleij P, Gupta VK, Hasani H, Hassan TS, Hassen MB, Ibitoye SE, Ikiroma AI, Iwu CCD, James PB, Jayaram S, Jebai R, Jha RP, Joseph N, Kalantar F, Kandel H, Karaye IM, Kassahun WD, Khan IA, Khanmohammadi S, Kisa A, Kompani F, Krishan K, Landires I, Lim SS, Mahajan PB, Mahjoub S, Majeed A, Marasini BP, Meresa HA, Mestrovic T, Minhas S, Misganaw A, Mokdad AH, Monasta L, Mustafa G, Nair TS, Narasimha Swamy S, Nassereldine H, Natto ZS, Naveed M, Nayak BP, Noubiap JJ, Noyes T, Nri-ezedi CA, Nwatah VE, Nzoputam CI, Nzoputam OJ, Okonji OC, Onikan AO, Owolabi MO, Patel J, Pati S, Pawar S, Petcu I-R, Piel FB, Qattea I, Rahimi M, Rahman M, Rawaf S, Redwan EMM, Rezaei N, Saddik B, Saeed U, Saheb Sharif-Askari F, Samy AM, Schumacher AE, Shaker E, Shetty A, Sibhat MM, Singh JA, Suleman M, Sunuwar DR, Szeto MD, Tamuzi JJLL, Tat NY, Taye BT, Temsah M-H, Umair M, Valadan Tahbaz S, Wang C, Wickramasinghe ND, Yigit A, Yiğit V, Yunusa I, Zaman BA, Zangiabadian M, Zheng P, Hay SI, Naghavi M, Murray CJL, Kassebaum NJet al., 2023, Global, regional, and national prevalence and mortality burden of sickle cell disease, 2000-2021: a systematic analysis from the Global Burden of Disease Study 2021, The Lancet Haematology, Vol: 10, Pages: e585-e599, ISSN: 2352-3026

BACKGROUND: Previous global analyses, with known underdiagnosis and single cause per death attribution systems, provide only a small insight into the suspected high population health effect of sickle cell disease. Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, this study delivers a comprehensive global assessment of prevalence of sickle cell disease and mortality burden by age and sex for 204 countries and territories from 2000 to 2021. METHODS: We estimated cause-specific sickle cell disease mortality using standardised GBD approaches, in which each death is assigned to a single underlying cause, to estimate mortality rates from the International Classification of Diseases (ICD)-coded vital registration, surveillance, and verbal autopsy data. In parallel, our goal was to estimate a more accurate account of sickle cell disease health burden using four types of epidemiological data on sickle cell disease: birth incidence, age-specific prevalence, with-condition mortality (total deaths), and excess mortality (excess deaths). Systematic reviews, supplemented with ICD-coded hospital discharge and insurance claims data, informed this modelling approach. We employed DisMod-MR 2.1 to triangulate between these measures-borrowing strength from predictive covariates and across age, time, and geography-and generated internally consistent estimates of incidence, prevalence, and mortality for three distinct genotypes of sickle cell disease: homozygous sickle cell disease and severe sickle cell β-thalassaemia, sickle-haemoglobin C disease, and mild sickle cell β-thalassaemia. Summing the three models yielded final estimates of incidence at birth, prevalence by age and sex, and total sickle cell disease mortality, the latter of which was compared directly against cause-specific mortality estimates to evaluate differences in mortality burden assessment and implications for the Sustainable Development Goals (SDGs). FINDINGS

Journal article

Azzopardi PS, Kerr JA, Francis KL, Sawyer SM, Kennedy EC, Steer AC, Graham SM, Viner RM, Ward JL, Hennegan J, Pham M, Habito CMD, Kurji J, Cini K, Beeson JG, Brown A, Murray CJL, Abbasi-Kangevari M, Abolhassani H, Adekanmbi V, Agampodi SB, Ahmed MB, Ajami M, Akbarialiabad H, Akbarzadeh-Khiavi M, AL-Ahdal TMA, Ali MM, Samakkhah SA, Alimohamadi Y, Alipour V, Al-Jumaily A, Amiri S, Amirzade-Iranaq MH, Anoushiravani A, Anvari D, Arabloo J, Arab-Zozani M, Arkew M, Armocida B, Asadi-Pooya AA, Asemi Z, Asgary S, Athari SS, Azami H, Azangou-Khyavy M, Azizi H, Bagheri N, Bagherieh S, Barone-Adesi F, Barteit S, Basu S, Belete MA, Belo L, Berhie AY, Bijani A, Bikbov B, Burkart K, Carreras G, Charalampous P, Abebe EC, Cruz-Martins N, Dai X, Dandona L, Dandona R, Degualem SM, Demetriades AK, Demlash AA, Desta AA, Dianatinasab M, Doaei S, Dorostkar F, Effendi DE, Emami A, Bain LE, Eskandarieh S, Esmaeilzadeh F, Faramarzi A, Fatehizadeh A, Ferrara P, Fetensa G, Fischer F, Flor LS, Forouhari A, Foroutan M, Gaihre S, Galehdar N, Gallus S, Gautam RK, Gebrehiwot M, Gebremeskel TG, Getacher L, Getachew ME, Ghamari S-H, Nour MG, Goleij P, Golitaleb M, Gorini G, Gupta VK, Hashemian M, Hassankhani H, Heidari M, Heyi DZ, Isola G, Jaafari J, Javanmardi F, Jonas JB, Jozwiak JJ, Juerisson M, Kabir A, Kabir Z, Kalankesh LR, Kalhor R, Kauppila JH, Kaur H, Kayode GA, Keikavoosi-Arani L, Khammarnia M, AB Khan M, Khatab K, Kashani HRK, Kolahi A-A, Koohestani HR, Koyanagi A, Kumar GA, Kurmi OP, Kyu HH, La Vecchia C, Lallukka T, Lim SS, Loureiro JA, Mahjoub S, Mahmoudi R, Majeed A, Rad EM, Maleki A, Mansour-Ghanaei F, Marjani A, Mathioudakis AG, Mehri F, Mentis A-FA, Mestrovic T, Mirica A, Misganaw A, Mohammadian-Hafshejani A, Mohammed H, Mohammed S, Mokdad AH, Mokhtarzadehazar P, Monasta L, Moradi M, Moradzadeh M, Morovatdar N, Mueller UO, Mulita F, Mulu GBB, Muthupandian S, Naik GR, Nashwan AJJ, Nejadghaderi SA, Netsere HB, Noor NM, Noori M, Oancea B, Oguntade AS, Okati-Aliabad H, Otoiu A, Padron-et al., 2023, The unfinished agenda of communicable diseases among children and adolescents before the COVID-19 pandemic, 1990-2019: a systematic analysis of the Global Burden of Disease Study 2019, LANCET, Vol: 402, Pages: 313-335, ISSN: 0140-6736

Journal article

GBD 2021 Diabetes Collaborators, 2023, Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021., The Lancet, Vol: 402, Pages: 203-234, ISSN: 0140-6736

BACKGROUND: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the com

Journal article

Ferreira ML, de Luca K, Haile LM, Steinmetz J, Culbreth G, Cross M, Kopec JA, Ferreira PH, Blyth FM, Buchbinder R, Hartvigsen J, Wu A-M, Safiri S, Woolf A, Collins GS, Ong KL, Vollset SE, Smith AE, Cruz JA, Fukutaki KG, Abate SM, Abbasifard M, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdelalim A, Abedi A, Abidi H, Adnani QES, Ahmadi A, Akinyemi RO, Alamer AT, Alem AZ, Alimohamadi Y, Alshehri MA, Alshehri MM, Alzahrani H, Amini S, Amiri S, Amu H, Andrei CL, Andrei T, Antony B, Arabloo J, Arulappan J, Arumugam A, Ashraf T, Athari SS, Awoke N, Azadnajafabad S, Baernighausen TW, Barrero LH, Barrow A, Barzegar A, Bearne LM, Bensenor IM, Berhie AY, Bhandari BB, Bhojaraja VS, Bijani A, Bodicha BBA, Bolla SR, Brazo-Sayavera J, Briggs AM, Cao C, Charalampous P, Chattu VK, Cicuttini FM, Clarsen B, Cuschieri S, Dadras O, Dai X, Dandona L, Dandona R, Dehghan A, Demie TGG, Denova-Gutierrez E, Dewan SMR, Dharmaratne SD, Dhimal ML, Dhimal M, Diaz D, Didehdar M, Digesa LE, Diress M, Do HT, Doan LP, Ekholuenetale M, Elhadi M, Eskandarieh S, Faghani S, Fares J, Fatehizadeh A, Fetensa G, Filip I, Fischer F, Franklin RC, Ganesan B, Gemeda BNB, Getachew ME, Ghashghaee A, Gill TK, Golechha M, Goleij P, Gupta B, Hafezi-Nejad N, Haj-Mirzaian A, Hamal PK, Hanif A, Harlianto N, Hasani H, Hay S, Hebert JJ, Heidari G, Heidari M, Heidari-Soureshjani R, Hlongwa MM, Hosseini M-S, Hsiao AK, Iavicoli I, Ibitoye SE, Ilic IM, Ilic M, Islam SMS, Janodia MD, Jha RP, Jindal HA, Jonas JB, Kabito GG, Kandel H, Kaur RJ, Keshri VR, Khader YS, Khan EA, Khan MJ, AB Khan M, Kashani HRK, Khubchandani J, Kim YJ, Kisa A, Klugarova J, Kolahi A-A, Koohestani HR, Koyanagi A, Kumar GA, Kumar N, Lallukka T, Lasrado S, Lee W-C, Lee YH, Mahmoodpoor A, Malagon-Rojas JN, Malekpour M-R, Malekzadeh R, Malih N, Mehndiratta MM, Nasab EM, Menezes RG, Mentis A-FA, Mesregah MK, Miller TR, Mirza-Aghazadeh-Attari M, Mobarakabadi M, Mohammad Y, Mohammadi E, Mohammed S, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Mostafavi E, Murret al., 2023, Global, regional, and national burden of low back pain, 1990-2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021, LANCET RHEUMATOLOGY, Vol: 5, Pages: E316-E329, ISSN: 2665-9913

Journal article

Carter A, Rawaf S, 2023, The “binocular model” of hospital planning for quality improvement, Hospital Administration and Medical Practices, Vol: 2

Journal article

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