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
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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

Momtazmanesh S, Moghaddam SS, Ghamari S-H, Rad EM, Rezaei N, Shobeiri P, Aali A, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdelmasseh M, Abdoun M, Abdulah DM, Abdullah AYM, Abedi A, Abolhassani H, Abrehdari-Tafreshi Z, Achappa B, Adane DEA, Adane TD, Addo IY, Adnan M, Adnani QES, Ahmad S, Ahmadi A, Ahmadi K, Ahmed A, Ahmed A, Rashid TA, Al Hamad H, Alahdab F, Alemayehu A, Alif SM, Aljunid SM, Almustanyir S, Altirkawi KA, Alvis-Guzman N, Dehkordi JA, Amir-Behghadami M, Ancuceanu R, Andrei CL, Andrei T, Antony CM, Anyasodor AE, Arabloo J, Arulappan J, Ashraf T, Athari SS, Attia EF, Ayele MT, Azadnajafabad S, Babu AS, Bagherieh S, Baltatu OC, Banach M, Bardhan M, Barone-Adesi F, Barrow A, Basu S, Bayileyegn NS, Bensenor IM, Bhardwaj N, Bhardwaj P, Bhat AN, Bhattacharyya K, Bouaoud S, Braithwaite D, Brauer M, Butt MH, Butt ZA, Calina D, Camera LA, Chanie GS, Charalampous P, Chattu VK, Chimed-Ochir O, Chu D-T, Cohen AJ, Cruz-Martins N, Dadras O, Darwesh AM, Das S, Debela SA, Delgado-Ortiz D, Dereje D, Dianatinasab M, Diao N, Diaz D, Digesa LE, Dirirsa G, Doku PN, Dongarwar D, Douiri A, Dsouza HL, Eini E, Ekholuenetale M, Ekundayo TC, Elagali AEM, Elhadi M, Enyew DB, Erkhembayar R, Etaee F, Fagbamigbe AF, Faro A, Fatehizadeh A, Fekadu G, Filip I, Fischer F, Foroutan M, Franklin RC, Andras Gaal P, Gaihre S, Gaipov A, Gebrehiwot M, Gerema U, Getachew ME, Getachew T, Ghafourifard M, Ghanbari R, Ghashghaee A, Gholami A, Gil AU, Golechha M, Goleij P, Golinelli D, Guadie HA, Gupta B, Gupta S, Gupta VB, Gupta VK, Hadei M, Halwani R, Hanif A, Hargono A, Harorani M, Hartono RK, Hasani H, Hashi A, Hay S, Heidari M, Hellemons ME, Herteliu C, Holla R, Horita N, Hoseini M, Hosseinzadeh M, Huang J, Hussain S, Hwang B-F, Iavicoli I, Ibitoye SE, Ibrahim S, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Ismail NE, Merin JL, Jakovljevic M, Jamshidi E, Janodia MD, Javaheri T, Jayapal SK, Jayaram S, Jha RP, Johnson O, Joo T, Joseph N, Jozwiak JJ, Vaishali K, Kaambwa B, Kabir Z, Kalankesh LR, Kalhet al., 2023, Global burden of chronic respiratory diseases and risk factors, 1990-2019: an update from the Global Burden of Disease Study 2019, ECLINICALMEDICINE, Vol: 59

Journal article

Rawaf S, Tabche C, Christodoulou G, Rawaf D, Quezada-Yamamoto Het al., 2023, Person-Centered Prevention, Person Centered Medicine, Publisher: Springer, Cham, ISBN: 978-3-031-17650-0

Book chapter

Mangieri CW, Valenzuela CD, Strode MA, Erali RA, Shen P, Howerton R, Clark CJet al., 2023, Effect of preoperative liver-directed therapy prior to hepatic resection., Am J Surg, Vol: 225, Pages: 703-708

INTRODUCTION: Hepatobiliary malignancies present with advanced disease precluding upfront resection. Liver-directed therapy (LDT), particularly Y-90 radioembolization and transarterial chemoembolization (TACE), has become increasingly utilized to facilitate attempt at oncologic resection. However, the safety profile of preoperative LDT is limited. METHODS: Retrospective review of the ACS NSQIP main and targeted hepatectomy registries for 2014-2016. Primary objective was evaluation of outcomes between preoperative LDT cases and those that received upfront resection. RESULTS: A total of 8923 cases met selection criteria. 192 cases (2.15%) received either Y-90 or TACE prior to hepatectomy. Multivariate analysis for all study patients revealed preoperative LDT significantly increased the risk of perioperative transfusion (OR 2.19, 95% CI 1.445-3.328, P < 0.0001), sepsis (OR 2.21, 95% CI 1.104-4.411, P = 0.022), and liver failure (OR 2.72, 95% CI 1.562-4.747, P < 0.0001). Subgroup analysis found for primary hepatobiliary malignancies LDT only increased the risk for liver failure. While for secondary hepatic tumors LDT significantly increased perioperative transfusion, sepsis, cardiac failure, renal failure, liver failure, and mortality. The complication profile also significantly increased with advanced T stage. Conversely, on propensity score matching preoperative LDT did not significantly increase perioperative complications. CONCLUSION: Preoperative LDT has the potential to convert inoperable hepatic tumors into resectable disease but there is a general increased risk for significant postoperative complications, most notable liver failure. However, on controlled analysis preoperative LDT does not increase perioperative complications and should not be considered a contraindication to resection.

Journal article

Global Burden of Disease 2021 Health Financing Collaborator Network, 2023, Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026, The Lancet Global Health, Vol: 11, Pages: e385-e413, ISSN: 2214-109X

BACKGROUND: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic; characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic; and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. METHODS: In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. FINDINGS: In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1-9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2-7·4) in 2019; 293·7 times the $24·8 billion (95% UI 24·3-25·3) spent by low-income countries in 20

Journal article

Alhilfi R, Khaleel H, Raheem B, Mahdi S, Tabche C, Rawaf Set al., 2023, Large outbreak of Crimean-Congo haemorrhagic fever in Iraq, 2022, IJID Regions, Vol: 6, Pages: 76-79, ISSN: 2772-7076

BackgroundCrimean-Congo haemorrhagic fever (CCHF) is reported sporadically in Iraq. The lack of preventive veterinary activities during 2 years of the coronavirus disease 2019 pandemic (2020 and 2021) led to the largest CCHF outbreak in Iraq since 1979.ObjectiveTo describe the epidemiological characteristics of CCHF cases that occurred during the first half of 2022 in Iraq in terms of age, sex, residence, history of contact with another case, and history of contact with animals.Materials and methodsThis descriptive study included laboratory-confirmed cases of CCHF between 1st January 2022 and 26th June 2022. Frequencies and percentages were used to describe the demographic and epidemiologic criteria of the cases. The epidemic curve of the cases was used to describe the timing and duration of the outbreak.ResultsIn total, there were 219 confirmed cases of CCHF from 1st January 2022 to 26th June 2022. The first confirmed case was reported in March 2022, and cases continued to occur through June 2022. The median age of the cases was 34.5 years. The majority of cases were male (n=130, 59.4%), had an unspecified job (n=126, 57.5%) and lived in southern Iraq (n=142, 64.8%). The first case was reported in week 10 of 2022. Case numbers peaked in week 24 (30 cases were reported), and subsequently declined in week 25 (24 cases were reported). The case fatality rate was 16.4%.Conclusion and recommendationsThe CCHF outbreak in 2022 was the largest in Iraq since the disease was first reported four decades ago. Identification of CCHF strains in Iraq is recommended, together with exploration of the knowledge, attitudes and practices of high-risk groups for CCHF, and a national survey of CCHF vectors in Iraq.

Journal article

Yousif MG, Al-Jumeily D, Al-Amran FG, Sadeq AM, Rawaf Set al., 2023, Effect of COVID-19 Vaccines on Hair Loss, Health Education and Health Promotion, Vol: 11, Pages: 1001-1005, ISSN: 2588-5715

Aims: The COVID-19 pandemic has led to the global distribution of vaccines, but there are concerns regarding potential side effects. Hair loss is one of the less commonly reported side effects. The present study aimed to investigate the effect of COVID-19 vaccinations on hair loss. Instruments & Methods: A cross-sectional descriptive study was conducted with 580 participants aged between 20 to 72 years, consisting of 270 males and 310 females. Machine learning techniques were employed to analyze the data and determine any potential relationship between COVID-19 vaccines and hair loss. A logistic regression analysis was used to assess the odds ratio and 95% confidence interval for hair loss. Findings: Of the total participants, 17.6% reported experiencing hair loss after receiving the COVID-19 vaccine. This percentage was higher in females (19.4%) compared to the males (15.2%). There was a significant association between the COVID-19 vaccine and hair loss in both males and females. The odds ratio for developing hair loss after receiving the COVID-19 vaccine was 1.34 (95% CI: 1.04¬1.73) for females and 1.12 (95% CI: 0.81-1.54) for males. Conclusion: Hair loss is a rare but possible side effect of COVID-19 vaccination in both males and females, which its prevalence is higher in females than in males. Individuals with certain comorbidities, such as hypertension and diabetes, may be at a higher risk for experiencing hair loss after COVID-19 vaccination.

Journal article

Haeuser E, Serfes AL, Cork MA, Yang M, Abbastabar H, Abhilash ES, Adabi M, Adebayo OM, Adekanmbi V, Adeyinka DA, Afzal S, Ahinkorah BO, Ahmadi K, Ahmed MB, Akalu Y, Akinyemi RO, Akunna CJ, Alahdab F, Alanezi FM, Alanzi TM, Alene KA, Alhassan RK, Alipour V, Almasi-Hashiani A, Alvis-Guzman N, Ameyaw EK, Amini S, Amugsi DA, Ancuceanu R, Anvari D, Appiah SCY, Arabloo J, Aremu O, Asemahagn MA, Jafarabadi MA, Awedew AF, Quintanilla BPA, Ayanore MA, Aynalem YA, Azari S, Azene ZN, Darshan BB, Babalola TK, Baig AA, Banach M, Barnighausen TW, Bell AW, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bijani A, Bitew ZW, Bohlouli S, Bolarinwa OA, Boloor A, Bozicevic I, Butt ZA, Cardenas R, Carvalho F, Charan J, Chattu VK, Chowdhury MAK, Chu D-T, Cowden RG, Dahlawi SMA, Damiani G, Darteh EKM, Darwesh AM, das Neves J, Weaver ND, De Leo D, De Neve J-W, Deribe K, Deuba K, Dharmaratne S, Dianatinasab M, Diaz D, Didarloo A, Djalalinia S, Dorostkar F, Dubljanin E, Duko B, El Tantawi M, El-Jaafary S, Eshrati B, Eskandarieh S, Eyawo O, Ezeonwumelu IJ, Ezzikouri S, Farzadfar F, Fattahi N, Fauk NK, Fernandes E, Filip I, Fischer F, Foigt NA, Foroutan M, Fukumoto T, Gad MM, Gaidhane AM, Gebregiorgis BG, Gebremedhin KB, Getacher L, Ghadiri K, Ghashghaee A, Golechha M, Gubari MIM, Gugnani HC, Guimaraes RA, Haider MR, Haj-Mirzaian A, Hamidi S, Hashi A, Hassanipour S, Hassankhani H, Hayat K, Herteliu C, Ho HC, Holla R, Hosseini M, Hosseinzadeh M, Hwang B-F, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Islam RM, Iwu CCD, Jakovljevic M, Jha RP, Ji JS, Johnson KB, Joseph N, Joshua V, Joukar F, Jozwiak JJ, Kalankesh LR, Kalhor R, Kamyari N, Kanchan T, Matin BK, Karimi SE, Kayode GA, Karyani AK, Keramati M, Khan EA, Khan G, Khan MN, Khatab K, Khubchandani J, Kim YJ, Kisa A, Kisa S, Kopec JA, Kosen S, Laxminarayana SLK, Koyanagi A, Krishan K, Defo BK, Kugbey N, Kulkarni V, Kumar M, Kumar N, Kusuma D, La Vecchia C, Lal DK, Landires I, Larson HJ, Lasrado S, Lee PH, Li S, Liu X, Maleki A, Malik Pet al., 2022, Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000-2018, BMC Medicine, Vol: 20, ISSN: 1741-7015

BackgroundHuman immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15–59 years across SSA.MethodsWe analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units.ResultsWe found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all distri

Journal article

Ikuta KS, Swetschinski LR, Aguilar GR, Sharara F, Mestrovic T, Gray AP, Weaver ND, Wool EE, Han C, Hayoon AG, Aali A, Abate SM, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abd-Elsalam S, Abebe G, Abedi A, Abhari AP, Abidi H, Aboagye RG, Absalan A, Ali HA, Acuna JM, Adane TD, Addo IY, Adegboye OA, Adnan M, Adnani QES, Afzal MS, Afzal S, Aghdam ZB, Ahinkorah BO, Ahmad A, Ahmad AR, Ahmad R, Ahmad S, Ahmad S, Ahmadi S, Ahmed A, Ahmed H, Ahmed JQ, Rashid TA, Ajami M, Aji B, Akbarzadeh-Khiavi M, Akunna CJ, Al Hamad H, Alahdab F, Al-Aly Z, Aldeyab MA, Aleman A, Alhalaiqa FAN, Alhassan RK, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Alizadeh A, Aljunid SM, Allel K, Almustanyir S, Ameyaw EK, Amit AML, Anandavelane N, Ancuceanu R, Andrei CL, Andrei T, Anggraini D, Ansar A, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Aripov T, Artamonov AA, Arulappan J, Aruleba RT, Asaduzzaman M, Ashraf T, Athari SS, Atlaw D, Attia S, Ausloos M, Awoke T, Quintanilla BPA, Ayana TM, Azadnajafabad S, Jafari AA, Darshan BB, Badar M, Badiye AD, Baghcheghi N, Bagherieh S, Baig AA, Banerjee I, Barac A, Bardhan M, Barone-Adesi F, Barqawi HJ, Barrow A, Baskaran P, Basu S, Batiha A-MM, Bedi N, Belete MA, Belgaumi UI, Bender RG, Bhandari B, Bhandari D, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhattarai S, Bitaraf S, Buonsenso D, Butt ZA, dos Santos FLC, Cai J, Calina D, Camargos P, Camera LA, Cardenas R, Cevik M, Chadwick J, Charan J, Chaurasia A, Ching PR, Choudhari SG, Chowdhury EK, Chowdhury FR, Chu D-T, Chukwu IS, Dadras O, Dagnaw FT, Dai X, Das S, Dastiridou A, Debela SA, Demisse FW, Demissie S, Dereje D, Derese M, Desai HD, Dessalegn FN, Dessalegni SAA, Desye B, Dhaduk K, Dhimal M, Dhingra S, Diao N, Diaz D, Djalalinia S, Dodangeh M, Dongarwar D, Dora BT, Dorostkar F, Dsouza HL, Dubljanin E, Dunachie SJ, Durojaiye OC, Edinur HA, Ejigu HB, Ekholuenetale M, Ekundayo TC, El-Abid H, Elhadi M, Elmonem MA, Emami A, Bain LE, Enyew DB, Erkhembayar R, Eshrati B, Etaee F, Fagbamigbe AF, Falahi S, Fallahzadet al., 2022, Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019, The Lancet, Vol: 400, Pages: 2221-2248, ISSN: 0140-6736

BackgroundReducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes.MethodsWe estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest.FindingsFrom an estimated 13·7 million (95% UI 10·9–17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7–10·2) associated with the 33 bacterial pathogens (bo

Journal article

Reiner RC, LBD Triple Burden Collaborators, Hay SI, 2022, The overlapping burden of the three leading causes of disability and death in sub-Saharan African children, Nature Communications, Vol: 13, ISSN: 2041-1723

Despite substantial declines since 2000, lower respiratory infections (LRIs), diarrhoeal diseases, and malaria remain among the leading causes of nonfatal and fatal disease burden for children under 5 years of age (under 5), primarily in sub-Saharan Africa (SSA). The spatial burden of each of these diseases has been estimated subnationally across SSA, yet no prior analyses have examined the pattern of their combined burden. Here we synthesise subnational estimates of the burden of LRIs, diarrhoea, and malaria in children under-5 from 2000 to 2017 for 43 sub-Saharan countries. Some units faced a relatively equal burden from each of the three diseases, while others had one or two dominant sources of unit-level burden, with no consistent pattern geographically across the entire subcontinent. Using a subnational counterfactual analysis, we show that nearly 300 million DALYs could have been averted since 2000 by raising all units to their national average. Our findings are directly relevant for decision-makers in determining which and targeting where the most appropriate interventions are for increasing child survival.

Journal article

Lozano R, Haakenstad A, Yearwood JA, Fullman N, Bintz C, Bienhoff K, Weaver MR, Nandakumar V, Joffe JN, LeGrand KE, Knight M, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abeldano Zuniga RA, Adedeji IA, Adekanmbi V, Adetokunboh OO, Afzal MS, Afzal S, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed A, Rashid TA, Aji B, Akande-Sholabi W, Alam K, Al Hamad H, Alhassan RK, Ali L, Alipour V, Aljunid SM, Ameyaw EK, Amin TT, Amu H, Amugsi DA, Ancuceanu R, Andrade PP, Anjum A, Arabloo J, Arab-Zozani M, Ariffin H, Arulappan J, Aryan Z, Ashraf T, Atnafu DD, Atreya A, Ausloos M, Avila-Burgos L, Ayano G, Ayanore MA, Azari S, Badiye AD, Baig AA, Bairwa M, Bakkannavar SM, Baliga S, Banik PC, Baernighausen TW, Barra F, Barrow A, Basu S, Bayati M, Belete R, Bell AW, Bhagat DS, Bhagavathula AS, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhattacharyya K, Bhutta ZA, Bibi S, Bijani A, Bikbov B, Biondi A, Bolarinwa OA, Bonny A, Brenner H, Buonsenso D, Burkart K, Busse R, Butt ZA, Butt NS, Caetano dos Santos FL, Cahuana-Hurtado L, Alberto Camera L, Cardenas R, Carneiro VLA, Catala-Lopez F, Chandan JS, Charan J, Chavan PP, Chen S, Chen S, Choudhari SG, Chowdhury EK, Chowdhury MAK, Cirillo M, Corso B, Dadras O, Dahlawi SMA, Dai X, Dandona L, Dandona R, Dangel WJ, Alberto Davila-Cervantes C, Davletov K, Deuba K, Dhimal M, Dhimal ML, Djalalinia S, Huyen PD, Doshmangir L, Duncan BB, Effiong A, Ehsani-Chimeh E, Elgendy IY, Elhadi M, El Sayed I, El Tantawi M, Erku DA, Eskandarieh S, Fares J, Farzadfar F, Ferrero S, Desideri LF, Fischer F, Foigt NA, Foroutan M, Fukumoto T, Gaal PA, Gaihre S, Gardner WM, Garg T, Obsa AG, Ghafourifard M, Ghashghaee A, Ghith N, Gilani SA, Gill PS, Goharinezhad S, Golechha M, Guadamuz JS, Guo Y, Das Gupta R, Gupta R, Gupta VK, Gupta VB, Hamiduzzaman M, Hanif A, Maria Haro J, Hasaballah AI, Hasan MM, Hasan MT, Hashi A, Hay SI, Hayat K, Heidari M, Heidari G, Henry NJ, Herteliu C, Holla R, Hossain S, Hossain SJ, Hossain MBH, Hosseinzadeh M, Hostiuc S, Hoveidamanet al., 2022, 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, The Lancet Global Health, Vol: 10, Pages: E1715-E1743, ISSN: 2214-109X

BackgroundHealth-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019.MethodsWe distinguished the overall HAQ Index (ages 0–74 years) from scores for select age groups: the young (ages 0–14 years), working (ages 15–64 years), and post-working (ages 65–74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development.FindingsBetween 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9–21·3), as well as among the young (22·5, 19·9–24·7), working (17·2, 15·2–19·1), and post-working (15·1, 13·2–17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6–33·0) on average in low-SDI countries to 83·4 (82·4–84·3) on average in high-SDI countries. Similarly

Journal article

Al-Koubaisy H, Tabche C, Rawaf S, 2022, A retrospective study: Cholera in Baghdad 2015, Science Journal of Public Health, Vol: 10, Pages: 252-255, ISSN: 2328-7942

From June to December 2015, Iraq's capital city, Baghdad, suffered a cholera epidemic. Al-Yarmouk Teaching Hospital (AYTH) is the second main hospital in Baghdad City, located close to the epidemic epicentre and recorded events as they unfolded. A retrospective audit of hospital records was done in this study. Clinical and sociodemographic data were collected on the population, including adult patients admitted to AYTH with a confirmed diagnosis of cholera by the Central Public Health Laboratory (CPHL). The confirmed cases were 940. Of those cases, 21% attended AYTH. Initial belt zone cases totalled 44.16% of hospital cases, of which 65 were dependent on agricultural products from neighbouring farms. All patients were positive for the Inaba Vibrio Cholera strain. Baghdad’s cholera epidemic may have resulted from inhabitants’ dependence on local water sources for agricultural needs. During summer, severed water supplies denied Baghdad’s Dijla River water access forced farmers and locals to source well water. To protect the public and environmental safety, groundwater must be accurately and regularly tested in the region. Safe drinking water and sanitary toilet facilities must be guaranteed.

Journal article

Mestrovic T, Aguilar GR, Swetschinski LR, Ikuta KS, Gray AP, Weaver ND, Han C, Wool EE, Hayoon AG, Hay S, Dolecek C, Sartorius B, Murray CJL, Addo IY, Ahinkorah BO, Ahmed A, Aldeyab MA, Allel K, Ancuceanu R, Anyasodor AE, Ausloos M, Barra F, Bhagavathula AS, Bhandari D, Bhaskar S, Cruz-Martins N, Dastiridou A, Dokova K, Dubljanin E, Durojaiye OC, Fagbamigbe AF, Ferrero S, Gaal PA, Gupta VB, Gupta VK, Gupta VK, Herteliu C, Hussain S, Ilic IM, Ilic MD, Jamshidi E, Joo T, Karch A, Kisa A, Kisa S, Kostyanev T, Kyu HH, Lam J, Lopes G, Mathioudakis AG, Mentis A-FA, Michalek IM, Moni MA, Moore CE, Mulita F, Negoi I, Negoi RI, Palicz T, Pana A, Perdigao J, Petcu I-R, Rabiee N, Rawaf DL, Rawaf S, Shakhmardanov MZ, Sheikh A, Silva LMLR, Skryabin VY, Skryabina AA, Socea B, Stergachis A, Stoeva TZ, Sumi CD, Thiyagarajan A, Tovani-Palone MR, Yesiltepe M, Bin Zaman S, Naghavi Met al., 2022, The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis, LANCET PUBLIC HEALTH, Vol: 7, Pages: E897-E913, ISSN: 2468-2667

Journal article

Awedew AF, Han H, Abbasi B, Abbasi-Kangevari M, Ahmed MB, Almidani O, Amini E, Arabloo J, Argaw AM, Athari SS, Atlaw D, Banach M, Barrow A, Bhagavathula AS, Bhojaraja VS, Bikbov B, Bodicha BBA, Butt NS, Caetano dos Santos FL, Dadras O, Dai X, Doan LP, Eftekharzadeh S, Fatehizadeh A, Garg T, Gebremeskel TG, Getachew ME, Ghamari S-H, Gilani SA, Golechha M, Gupta VB, Gupta VK, Hay SI, Hosseini M-S, Hosseinzadeh M, Humayun A, Ilic IM, Ilic MD, Ismail NE, Jakovljevic M, Jayaram S, Jazayeri SB, Jema AT, Kabir A, Karaye IM, Khader YS, Khan EA, Landires I, Lee S-W, Lee SWH, Lim SS, Lobo SW, Majeed A, Malekpour M-R, Malih N, Malik AA, Mehrabi Nasab E, Mestrovic T, Michalek IM, Mihrtie GN, Mirza-Aghazadeh-Attari M, Misganaw AT, Mokdad AH, Molokhia M, Murray CJL, Narasimha Swamy S, Nguyen SH, Nowroozi A, Nuñez-Samudio V, Owolabi MO, Pawar S, Perico N, Rawaf DL, Rawaf S, Rawassizadeh R, Remuzzi G, Sahebkar A, Sampath C, Shetty JK, Sibhat MM, Singh JA, Tan K-K, Temesgen G, Tolani MA, Tovani-Palone MR, Valadan Tahbaz S, Valizadeh R, Vo B, Vu LG, Yang L, Yazdanpanah F, Yigit A, Yiğit V, Yunusa I, Zahir M, Vos T, Dirac MAet al., 2022, The global, regional, and national burden of benign prostatic hyperplasia in 204 countries and territories from 2000 to 2019: a systematic analysis for the Global Burden of Disease Study 2019, The Lancet Healthy Longevity, Vol: 3, Pages: e754-e776, ISSN: 2666-7568

BackgroundBenign prostatic hyperplasia is a common urological disease affecting older men worldwide, but comprehensive data about the global, regional, and national burden of benign prostatic hyperplasia and its trends over time are scarce. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated global trends in, and prevalence of, benign prostatic hyperplasia and disability-adjusted life-years (DALYs) due to benign prostatic hyperplasia, in 21 regions and 204 countries and territories from 2000 to 2019.MethodsThis study was conducted with GBD 2019 analytical and modelling strategies. Primary prevalence data came from claims from three countries and from hospital inpatient encounters from 45 locations. A Bayesian meta-regression modelling tool, DisMod-MR version 2.1, was used to estimate the age-specific, location-specific, and year-specific prevalence of benign prostatic hyperplasia. Age-standardised prevalence was calculated by the direct method using the GBD reference population. Years lived with disability (YLDs) due to benign prostatic hyperplasia were estimated by multiplying the disability weight by the symptomatic proportion of the prevalence of benign prostatic hyperplasia. Because we did not estimate years of life lost associated with benign prostatic hyperplasia, disability-adjusted life-years (DALYs) equalled YLDs. The final estimates were compared across Socio-demographic Index (SDI) quintiles. The 95% uncertainty intervals (UIs) were estimated as the 25th and 975th of 1000 ordered draws from a bootstrap distribution.FindingsGlobally, there were 94·0 million (95% UI 73·2 to 118) prevalent cases of benign prostatic hyperplasia in 2019, compared with 51·1 million (43·1 to 69·3) cases in 2000. The age-standardised prevalence of benign prostatic hyperplasia was 2480 (1940 to 3090) per 100 000 people. Although the global number of prevalent cases increased by 70·5% (

Journal article

Kyu HH, Vongpradith A, Sirota SB, Novotney A, Troeger CE, Doxey MC, Bender RG, Ledesma JR, Biehl MH, Albertson SB, Frostad JJ, Burkart K, Bennitt FB, Zhao JT, Gardner WM, Hagins H, Bryazka D, Dominguez R-MV, Abate SM, Abdelmasseh M, Abdoli A, Abdoli G, Abedi A, Abedi V, Abegaz TM, Abidi H, Aboagye RG, Abolhassani H, Abtew YD, Ali HA, Abu-Gharbieh E, Abu-Zaid A, Adamu K, Addo IY, Adegboye OA, Adnan M, Adnani QES, Afzal MS, Afzal S, Ahinkorah BO, Ahmad A, Ahmad AR, Ahmad S, Ahmadi A, Ahmadi S, Ahmed H, Ahmed JQ, Rashid TA, Akbarzadeh-Khiavi M, Al Hamad H, Albano L, Aldeyab MA, Alemu BM, Alene KA, Algammal AM, Alhalaiqa FAN, Alhassan RK, Ali BA, Ali L, Ali MM, Ali SS, Alimohamadi Y, Alipour V, Al-Jumaily A, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Rifai RHH, AlRyalat SAS, Alvis-Guzman N, Alvis-Zakzuk NJ, Ameyaw EK, Dehkordi JJA, Amuasi JH, Amugsi DA, Anbesu EW, Ansar A, Anyasodor AE, Arabloo J, Areda D, Argaw AM, Argaw ZG, Arulappan J, Aruleba RT, Asemahagn MA, Athari SS, Atlaw D, Attia EF, Attia S, Aujayeb A, Awoke T, Ayana TM, Ayanore MA, Azadnajafabad S, Azangou-Khyavy M, Azari S, Jafari AA, Badar M, Badiye AD, Baghcheghi N, Bagherieh S, Baig AA, Banach M, Banerjee I, Bardhan M, Barone-Adesi F, Barqawi HJ, Barrow A, Bashiri A, Bassat Q, Batiha A-MM, Belachew AB, Belete MA, Belgaumi UI, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhatt P, Bhojaraja VS, Bhutta ZA, Bhuyan SS, Bijani A, Bitaraf S, Bodicha BBA, Briko NI, Buonsenso D, Butt MH, Cai J, Camargos P, Camera LA, Chakraborty PA, Chanie MG, Charan J, Chattu VK, Ching PR, Choi S, Chong YY, Choudhari SG, Chowdhury EK, Christopher DJ, Dinh-Toi C, Cobb NL, Cohen AJ, Cruz-Martins N, Dadras O, Dagnaw FT, Dai X, Dandona L, Dandona R, An TMD, Debela SA, Demisse B, Demisse FW, Demissie S, Dereje D, Desai HD, Desta AA, Desye B, Dhingra S, Diao N, Diaz D, Digesa LE, Doan LP, Dodangeh M, Dongarwar D, Dorostkar F, dos Santos WM, Dsouza HL, Dubljanin E, Durojaiye OC, Edinur HA, Ehsani-Chimeh E, Eini E, Ekholuenetale M, Ekundaet al., 2022, Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019, LANCET INFECTIOUS DISEASES, Vol: 22, Pages: 1626-1647, ISSN: 1473-3099

Journal article

Roberts NLS, Johnson EK, Zeng SM, Hamilton EB, Abdoli A, Alahdab F, Alipour V, Ancuceanu R, Andrei CL, Anvari D, Arabloo J, Ausloos M, Awedew AF, Badiye AD, Bakkannavar SM, Bhalla A, Bhardwaj N, Bhardwaj P, Bhaumik S, Bijani A, Boloor A, Cai T, Carvalho F, Chu D-T, Couto RAS, Dai X, Desta AA, Hoa TD, Earl L, Eftekhari A, Esmaeilzadeh F, Farzadfar F, Fernandes E, Filip I, Foroutan M, Franklin RC, Gaidhane AM, Gebregiorgis BG, Gebremichael B, Ghashghaee A, Golechha M, Hamidi S, Haque SE, Hayat K, Herteliu C, Ilesanmi OS, Islam MM, Jagnoor J, Kanchan T, Kapoor N, Khan EA, Khatib MN, Khundkar R, Krishan K, Kumar GA, Kumar N, Landires I, Lim SS, Madadin M, Maled V, Manafi N, Marczak LB, Menezes RG, Meretoja TJ, Miller TR, Mohammadian-Hafshejani A, Mokdad AH, Monteiro FNP, Moradi M, Nayak VC, Cuong TN, Huong LTN, Nunez-Samudio V, Ostroff SM, Padubidri JR, Hai QP, Pinheiro M, Pirestani M, Syed ZQ, Rabiee N, Radfar A, Rahimi-Movaghar V, Rao SJ, Rastogi P, Rawaf DL, Rawaf S, Reiner RC, Sahebkar A, Samy AM, Sawhney M, Schwebel DC, Senthilkumaran S, Shaikh MA, Skryabin VY, Skryabina AA, Soheili A, Stokes MA, Thapar R, Tovani-Palone MR, Bach XT, Travillian RS, Velazquez DZ, Zhang Z-J, Naghavi M, Dandona R, Dandona L, James SL, Pigott DM, Murray CJL, Hay S, Theo V, Ong KLet al., 2022, Global mortality of snakebite envenoming between 1990 and 2019, NATURE COMMUNICATIONS, Vol: 13

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, 2022, Health Beliefs and Cardiovascular Risk among Saudi Women: A Cross Sectional Study, Family Medicine and Primary Care: Open Access, Vol: 6

Journal article

Frostad JJ, Nguyen QP, Baumann MM, Blacker BF, Marczak LB, Deshpande A, Wiens KE, LeGrand KE, Johnson KB, Abbasi-Kangevari M, Abdoli A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Rmeileh NME, Adekanmbi V, Agrawal A, Ahmed MB, Al-Aly Z, Alanezi FM, Alcalde-Rabanal JE, Alipour V, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amegah AK, Amini S, Amiri F, Amugsi DA, Ancuceanu R, Andrei CL, Andrei T, Antriyandarti E, Anvari D, Arabloo J, Arab-Zozani M, Athari SS, Ausloos M, Ayano G, Aynalem YA, Azari S, Badiye AD, Baig AA, Balakrishnan K, Banach M, Basu S, Bedi N, Bell ML, Bennett DA, Bhattacharyya K, Bhutta ZA, Bibi S, Bohlouli S, Boufous S, Bragazzi NL, Braithwaite D, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Cárdenas R, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Cerin E, Chattu SK, Chattu VK, Chaturvedi P, Chaturvedi S, Chen S, Chu D-T, Chung S-C, Dahlawi SMA, Damiani G, Dandona L, Dandona R, Darwesh AM, Das JK, Dash AP, Dávila-Cervantes CA, De Leo D, De Neve J-W, Demissie GD, Denova-Gutiérrez E, Dey S, Dharmaratne SD, Dhimal M, Dhungana GP, Diaz D, Dipeolu IO, Dorostkar F, Doshmangir L, Duraes AR, Edinur HA, Efendi F, El Tantawi M, Eskandarieh S, Fadhil I, Fattahi N, Fauk NK, Fereshtehnejad S-M, Folayan MO, Foroutan M, Fukumoto T, Gaidhane AM, Ghafourifard M, Ghashghaee A, Gilani SA, Gill TK, Goulart AC, Goulart BNG, Grada A, Gubari MIM, Guido D, Guo Y, Gupta RD, Gupta R, Gutiérrez RA, Hafezi-Nejad N, Hamadeh RR, Hasaballah AI, Hassanipour S, Hayat K, Heibati B, Heidari-Soureshjani R, Henry NJ, Herteliu C, Hosseinzadeh M, Hsairi M, Hu G, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Islam SMS, Iwu CCD, Jaafari J, Jakovljevic M, Javaheri T, Jha RP, Ji JS, Jonas JB, Kabir A, Kabir Z, Kalhor R, Kamyari N, Kanchan T, Kapil U, Kapoor N, Kayode GA, Keiyoro PN, Khader YS, Khalid N, Khan EA, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khubchandani J, Kim GR, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Knibbs LD, Koul PA, Koyet al., 2022, Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000–18: a geospatial modelling study, The Lancet Global Health, Vol: 10, Pages: e1395-e1411, ISSN: 2214-109X

BackgroundMore than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels.MethodsWe did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution.FindingsAlthough primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure

Journal article

Schmidt CA, Cromwell EA, Hill E, Donkers KM, Schipp MF, Johnson KB, Pigott DM, Schmidt CA, Cromwell EA, Hill E, Pigott DM, Abbas J, Adekanmbi V, Adetokunboh OO, Ahmed MB, Alanezi FM, Alanzi TM, Alipour V, Andrei CL, Andrei T, Anvari D, Appiah SCY, Aqeel M, Arabloo J, Jafarabadi MA, Ausloos M, Baig AA, Banach M, Bärnighausen TW, Bhattacharyya K, Bhutta ZA, Bijani A, Brady OJ, Bragazzi NL, Butt ZA, Carvalho F, Chattu VK, Dahlawi SMA, Damiani G, Demeke FM, Deribe K, Dharmaratne SD, Diaz D, Didarloo A, Earl L, Zaki MES, El Tantawi M, Fattahi N, Fernandes E, Foigt NA, Foroutan M, Franklin RC, Guo Y, Haj-Mirzaian A, Hamidi S, Hassankhani H, Herteliu C, Higazi TB, Hosseini M, Hosseinzadeh M, Househ M, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Jha RP, Ji JS, Jonas JB, Jozwiak JJ, Kalankesh LR, Kamyari N, Matin BK, Karimi SE, Kayode GA, Karyani AK, Khan EA, Khan MN, Khatab K, Khater MM, Kianipour N, Kim YJ, Kosen S, Kusuma D, La Vecchia C, Lansingh VC, Lee PH, Li S, Maleki S, Mansournia MA, Martins-Melo FR, McAlinden C, Mendoza W, Mestrovic T, Moghadaszadeh M, Mohammadian-Hafshejani A, Mohammadi SM, Mohammed S, Moradzadeh R, Moraga P, Naderi M, Nagarajan AJ, Negoi I, Nguyen CT, Nguyen HLT, Oancea B, Olagunju AT, Bali AO, Onwujekwe OE, Pana A, Rahimi-Movaghar V, Ramezanzadeh K, Rawaf DL, Rawaf S, Rawassizadeh R, Rezapour A, Ribeiro AI, Samy AM, Shaikh MA, Sharafi K, Sheikh A, Singh JA, Skiadaresi E, Soltani S, Stolk WA, Sufiyan MB, Thomson AJ, Tran BX, Tran KB, Unnikrishnan B, Violante FS, Vu GT, Yamada T, Yaya S, Yip P, Yonemoto N, Yu C, Yu Y, Zamanian M, Zhang Y, Zhang Z-J, Ziapour A, Hay SI, Hay SIet al., 2022, The prevalence of onchocerciasis in Africa and Yemen, 2000–2018: a geospatial analysis, BMC Medicine, Vol: 20, ISSN: 1741-7015

BackgroundOnchocerciasis is a disease caused by infection with Onchocerca volvulus, which is transmitted to humans via the bite of several species of black fly, and is responsible for permanent blindness or vision loss, as well as severe skin disease. Predominantly endemic in parts of Africa and Yemen, preventive chemotherapy with mass drug administration of ivermectin is the primary intervention recommended for the elimination of its transmission.MethodsA dataset of 18,116 geo-referenced prevalence survey datapoints was used to model annual 2000–2018 infection prevalence in Africa and Yemen. Using Bayesian model-based geostatistics, we generated spatially continuous estimates of all-age 2000–2018 onchocerciasis infection prevalence at the 5 × 5-km resolution as well as aggregations to the national level, along with corresponding estimates of the uncertainty in these predictions.ResultsAs of 2018, the prevalence of onchocerciasis infection continues to be concentrated across central and western Africa, with the highest mean estimates at the national level in Ghana (12.2%, 95% uncertainty interval [UI] 5.0–22.7). Mean estimates exceed 5% infection prevalence at the national level for Cameroon, Central African Republic, Democratic Republic of the Congo (DRC), Guinea-Bissau, Sierra Leone, and South Sudan.ConclusionsOur analysis suggests that onchocerciasis infection has declined over the last two decades throughout western and central Africa. Focal areas of Angola, Cameroon, the Democratic Republic of the Congo, Ethiopia, Ghana, Guinea, Mali, Nigeria, South Sudan, and Uganda continue to have mean microfiladermia prevalence estimates exceeding 25%. At and above this level, the continuation or initiation of mass drug administration with ivermectin is supported. If national programs aim to eliminate onchocerciasis infection, additional surveillance or supervision of areas of predicted high prevalence would be warranted to ensure sufficiently high c

Journal article

GBD 2019 Hepatitis B Collaborators, 2022, Global, regional, and national burden of hepatitis B, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019, The Lancet Gastroenterology & Hepatology, Vol: 7, Pages: 796-829, ISSN: 2468-1253

BACKGROUND: Combating viral hepatitis is part of the UN Sustainable Development Goals (SDGs), and WHO has put forth hepatitis B elimination targets in its Global Health Sector Strategy on Viral Hepatitis (WHO-GHSS) and Interim Guidance for Country Validation of Viral Hepatitis Elimination (WHO Interim Guidance). We estimated the global, regional, and national prevalence of hepatitis B virus (HBV), as well as mortality and disability-adjusted life-years (DALYs) due to HBV, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. This included estimates for 194 WHO member states, for which we compared our estimates to WHO elimination targets. METHODS: The primary data sources were population-based serosurveys, claims and hospital discharges, cancer registries, vital registration systems, and published case series. We estimated chronic HBV infection and the burden of HBV-related diseases, defined as an aggregate of cirrhosis due to hepatitis B, liver cancer due to hepatitis B, and acute hepatitis B. We used DisMod-MR 2.1, a Bayesian mixed-effects meta-regression tool, to estimate the prevalence of chronic HBV infection, cirrhosis, and aetiological proportions of cirrhosis. We used mortality-to-incidence ratios modelled with spatiotemporal Gaussian process regression to estimate the incidence of liver cancer. We used the Cause of Death Ensemble modelling (CODEm) model, a tool that selects models and covariates on the basis of out-of-sample performance, to estimate mortality due to cirrhosis, liver cancer, and acute hepatitis B. FINDINGS: In 2019, the estimated global, all-age prevalence of chronic HBV infection was 4·1% (95% uncertainty interval [UI] 3·7 to 4·5), corresponding to 316 million (284 to 351) infected people. There was a 31·3% (29·0 to 33·9) decline in all-age prevalence between 1990 and 2019, with a more marked decline of 76·8% (76·2 to 77·5) in prevalence in childr

Journal article

Khanh BT, Lang JJ, Compton K, Xu R, Acheson AR, Henrikson HJ, Kocarnik JM, Penberthy L, Aali A, Abbas Q, Abbasi B, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdelmasseh M, Abd-Elsalam S, Abdelwahab AA, Abdoli G, Abdulkadir HA, Abedi A, Abegaz KH, Abidi H, Aboagye RG, Abolhassani H, Absalan A, Abtew YD, Ali HA, Abu-Gharbieh E, Achappa B, Acuna JM, Addison D, Addo IY, Adegboye OA, Adesina MA, Adnan M, Adnani QES, Advani SM, Afrin S, Afzal MS, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad R, Ahmad S, Ahmadi S, Ahmed H, Ahmed LA, Ahmed MB, Rashid TA, Aiman W, Ajami M, Akalu GT, Akbarzadeh-Khiavi M, Aklilu A, Akonde M, Akunna CJ, Al Hamad H, Alahdab F, Alanezi FM, Alanzi TM, Alessy SA, Algammal AM, Al-Hanawi MK, Alhassan RK, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Al-Maweri SAA, Almustanyir S, Alonso N, Alqalyoobi S, Al-Raddadi RM, Al-Rifai RHH, Al-Sabah SK, Al-Tammemi AB, Altawalah H, Alvis-Guzman N, Amare F, Ameyaw EK, Dehkordi JJA, Amirzade-Iranaq MH, Amu H, Amusa GA, Ancuceanu R, Anderson JA, Animut YA, Anoushiravani A, Anoushirvani AA, Ansari-Moghaddam A, Ansha MG, Antony B, Antwi MH, Anwar SL, Anwer R, Anyasodor AE, Arabloo J, Arab-Zozani M, Aremu O, Argaw AM, Ariffin H, Aripov T, Arshad M, Al A, Arulappan J, Aruleba RT, Aryannejad A, Asaad M, Asemahagn MA, Asemi Z, Asghari-Jafarabadi M, Ashraf T, Assadi R, Athar M, Athari SS, Null MMWA, Attia S, Aujayeb A, Ausloos M, Avila-Burgos L, Awedew AF, Awoke MA, Awoke T, Quintanilla BPA, Ayana TM, Ayen SS, Azadi D, Null SA, Azami-Aghdash S, Azanaw MM, Azangou-Khyavy M, Jafari AA, Azizi H, Azzam AYY, Babajani A, Badar M, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bahadory S, Baig AA, Baker JL, Bakhtiari A, Bakshi RK, Banach M, Banerjee I, Bardhan M, Barone-Adesi F, Barra F, Barrow A, Bashir NZ, Bashiri A, Basu S, Batiha A-MM, Begum A, Bekele AB, Belay AS, Belete MA, Belgaumi UI, Bell AW, Belo L, Benzian H, Berhie AY, Bermudez ANC, Bernabe E, Bhagavathula AS, Bhala N, Bhandariet al., 2022, The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019, The Lancet, Vol: 400, Pages: 563-591, ISSN: 0140-6736

BackgroundUnderstanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally.MethodsThe GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented.FindingsGlobally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk fac

Journal article

Hertelendy AJ, Chekijian S, McNulty E, Mitchell CL, Grimes JO, Durneva P, Ranse J, Voskanyan A, Nazarian V, Rawaf S, Tabche C, Ciottone GRet al., 2022, Crisis leadership: a case for inclusion in accredited Master of Public Health program curricula, Public Health, Vol: 209, Pages: 14-18, ISSN: 0033-3506

OBJECTIVES: To evaluate the exposure to crisis leadership theory already present in Council on Education for Public Health (CEPH) accredited Master of Public Health (MPH) programs in the United States and provide a compelling case for its future inclusion. STUDY DESIGN: This was a narrative review. METHODS: We compiled a comprehensive list of 179 CEPH schools that offered an MPH program. During January through March 2021, we examined 179 websites for the core courses and elective courses offered in the MPH degree program to determine if any courses covered the topics of leadership, crisis leadership, or crisis management in either the course title or description. RESULTS: Leadership courses were available in only 55.31% of CEPH-accredited schools. Only a single program (0.56%) offers a crisis leadership course. CONCLUSIONS: The current global COVID-19 pandemic and reality of climate-induced disasters have brought crises to the forefront for health systems. Successful leadership for the future requires public health leaders to have training in crisis leadership. The evaluation and revision of public health curricula must focus on leadership competency development to prepare graduates to lead complex multiple crisis events and system shocks simultaneously.

Journal article

GBD 2019 Adolescent Transport and Unintentional Injuries Collaborators, 2022, Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019., The Lancet Public Health, Vol: 7, Pages: e657-e669, ISSN: 2468-2667

BACKGROUND: Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. METHODS: Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolute numbers and age-standardised rates per 100 000 population by sex, age group (10-14, 15-19, and 20-24 years), and sociodemographic index (SDI) with 95% uncertainty intervals (UIs). We report percentage changes in deaths and DALYs between 1990 and 2019. FINDINGS: In 2019, 369 061 deaths (of which 214 337 [58%] were transport related) and 31·1 million DALYs (of which 16·2 million [52%] were transport related) among adolescents aged 10-24 years were caused by transport and unintentional injuries combined. If compared with other causes, transport and unintentional injuries combined accounted for 25% of deaths and 14% of DALYs in 2019, and showed little improvement from 1990 when such injuries accounted for 26% of adolescent deaths and 17% of adolescent DALYs. Throughout adolescence, transport and unintentional injury fatality rates increased by age group. The unintentional injury burden was higher among males than females for all injury types, except for injuries related to fire, heat, and hot substances, or to adverse effects of medical treatment. From 1990 to 2019, global mortality rates declined by 34·4% (from 17·5 to 11·5 per 100 000) for transport injuries, and by 47·7% (from 15·9 to 8·3 per 100 000) for unintentional injuries. However, in low-SDI nations the absolute number of deaths increased (by 80·5% to 42 774 for transport

Journal article

Saad RK, Abu Khudair S, El Rabbat M, Omar M, Al Nsour M, Khader Y, Rawaf Set al., 2022, Published Research on COVID-19 in the Eastern Mediterranean Region: Bibliometric Analysis, INTERACTIVE JOURNAL OF MEDICAL RESEARCH, Vol: 11, ISSN: 1929-073X

Journal article

Bryazka D, Reitsma MB, Griswold MG, Abate KH, Abbafati C, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdoli A, Abdollahi M, Abdullah AYM, Abhilash ES, Abu-Gharbieh E, Acuna JM, Addolorato G, Adebayo OM, Adekanmbi V, Adhikari K, Adhikari S, Adnani QES, Afzal S, Agegnehu WY, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed H, Rashid TA, Akunna CJ, Al Hamad H, Alam MZ, Alem DT, Alene KA, Alimohamadi Y, Alizadeh A, Allel K, Alonso J, Alvand S, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Arabloo J, Arshad M, Artamonov AA, Aryan Z, Asaad M, Asemahagn MA, Astell-Burt T, Athari SS, Atnafu DD, Atorkey P, Atreya A, Ausloos F, Ausloos M, Ayano G, Ayanore MA, Ayinde OO, Ayuso-Mateos JL, Azadnajafabad S, Azanaw MM, Azangou-Khyavy M, Jafari AA, Azzam AY, Badiye AD, Bagheri N, Bagherieh S, Bairwa M, Bakkannavar SM, Bakshi RK, Balchut-Bilchut AH, Barra F, Barrow A, Baskaran P, Belo L, Bennett DA, Bensenor IM, Bhagavathula AS, Bhala N, Bhalla A, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bintoro BS, Blokhina EAE, Bodicha BBA, Boloor A, Bosetti C, Braithwaite D, Brenner H, Briko NI, Brunoni AR, Butt ZA, Cao C, Cao Y, Cardenas R, Carvalho AF, Carvalho M, Castaldelli-Maia JM, Castelpietra G, Castro-de-Araujo LFS, Cattaruzza MS, Chakraborty PA, Charan J, Chattu VK, Chaurasia A, Cherbuin N, Chu D-T, Chudal N, Chung S-C, Churko C, Ciobanu LG, Cirillo M, Claro RM, Costanzo S, Cowden RG, Criqui MH, Cruz-Martins N, Culbreth GT, Dachew BA, Dadras O, Dai X, Damiani G, Dandona L, Dandona R, Daniel BD, Danielewicz A, Gela JD, Davletov K, Paiva de Araujo JA, De Sa-Junior AR, Debela SA, Dehghan A, Demetriades AK, Molla MD, Desai R, Desta AA, da Silva DD, Diaz D, Digesa LE, Diress M, Dodangeh M, Dongarwar D, Dorostkar F, Dsouza HL, Duko B, Duncan BB, Edvardsson K, Ekholuenetale M, Elgar FJ, Elhadi M, Elmonem MA, Endries AY, Eskandarieh S, Etemadimanesh A, Fagbamigbe AF, Fakhradiyev IR, Farahmand F, Faet al., 2022, Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020, The Lancet, Vol: 400, Pages: 185-235, ISSN: 0140-6736

BackgroundThe health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year.MethodsFor this analysis, we constructed burden-weighted dose–response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15–95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol.FindingsThe burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15–39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0–0) and 0·603 (0·400–1·00) standard drinks per day, and the NDE varied between 0·002 (0–0) and 1·75 (0·698–4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0–0·403) to 1·87 (0·500–3·30) standard drinks per day and an NDE that ranged between 0·193 (0–0·900) and 6·94 (3·40–8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3–65·4) were aged 15–39 years and 76·9% (73·0–81·3) were male.InterpretationThere is stron

Journal article

GBD 2019 Colorectal Cancer Collaborators, 2022, Global, regional, and national burden of colorectal cancer and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019, The Lancet Gastroenterology & Hepatology, Vol: 7, Pages: 627-647, ISSN: 2468-1253

BACKGROUND: Colorectal cancer is the third leading cause of cancer deaths worldwide. Given the recent increasing trends in colorectal cancer incidence globally, up-to-date information on the colorectal cancer burden could guide screening, early detection, and treatment strategies, and help effectively allocate resources. We examined the temporal patterns of the global, regional, and national burden of colorectal cancer and its risk factors in 204 countries and territories across the past three decades. METHODS: Estimates of incidence, mortality, and disability-adjusted life years (DALYs) for colorectal cancer were generated as a part of the Global Burden of Diseases, Injuries and Risk Factors Study (GBD) 2019 by age, sex, and geographical location for the period 1990-2019. Mortality estimates were produced using the cause of death ensemble model. We also calculated DALYs attributable to risk factors that had evidence of causation with colorectal cancer. FINDINGS: Globally, between 1990 and 2019, colorectal cancer incident cases more than doubled, from 842 098 (95% uncertainty interval [UI] 810 408-868 574) to 2·17 million (2·00-2·34), and deaths increased from 518 126 (493 682-537 877) to 1·09 million (1·02-1·15). The global age-standardised incidence rate increased from 22·2 (95% UI 21·3-23·0) per 100 000 to 26·7 (24·6-28·9) per 100 000, whereas the age-standardised mortality rate decreased from 14·3 (13·5-14·9) per 100 000 to 13·7 (12·6-14·5) per 100 000 and the age-standardised DALY rate decreased from 308·5 (294·7-320·7) per 100 000 to 295·5 (275·2-313·0) per 100 000 from 1990 through 2019. Taiwan (province of China; 62·0 [48·9-80·0] per 100 000), Monaco (60·7 [48·5-73&midd

Journal article

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