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    Flaw detection improvement of digitised radiographs by morphological transformations

    , Article Insight: Non-Destructive Testing and Condition Monitoring ; Volume 47, Issue 10 , 2005 , Pages 625-630 ; 13542575 (ISSN) Movafeghi, A ; Kargarnovin, M. H ; Soltanian Zadeh, H ; Taheri, M ; Ghasemi, F ; Rokrok, B ; Edalati, K ; Rastkhah, N ; Sharif University of Technology
    2005
    Abstract
    Radiographic inspection is one of the most appreciated techniques among non-destructive testing methods due to the production of a film which acts as a unique fingerprint record. Converting radiographs to a digital format and further digital image processing is the best method of enhancing the image quality and assisting the interpreter on his evaluation. In this research, different algorithms were used for image enhancement and radiograph interpretation in MATLAB environment. A graphical user interface (GUI) was created for implementation of different algorithms. Both spatial and frequency domains techniques were used for image enhancement. The main enhancement technique was a spatial... 

    NMR spectroscopy-based metabolomic study of serum in sulfur mustard exposed patients with lung disease

    , Article Biomarkers ; Volume 22, Issue 5 , 2017 , Pages 413-419 ; 1354750X (ISSN) Nobakht, B.F., M. Gh ; Arefi Oskouie, A ; Rezaei Tavirani, M ; Aliannejad, R ; Taheri, S ; Fathi, F ; Naseri, M. T ; Sharif University of Technology
    Taylor and Francis Ltd  2017
    Abstract
    Sulfur mustard (SM) is a vesication chemical warfare agent for which there is currently no antidote. Despite years of research, there is no common consensus about the pathophysiological basis of chronic pulmonary disease caused by this chemical warfare agent. In this study, we combined chemometric techniques with nuclear magnetic resonance (NMR) spectroscopy to explore the metabolic profile of sera from SM-exposed patients. A total of 29 serum samples obtained from 17 SM-injured patients, and 12 healthy controls were analyzed by Random Forest. Increased concentrations of seven amino acids, glycerol, dimethylamine, ketone bodies, lactate, acetate, citrulline and creatine together with the... 

    Synthesis and Application of Carbon Hollow Nanospheres Containing Active Film Forming Agents for Fabrication of Self-Healing Epoxy Resin

    , Ph.D. Dissertation Sharif University of Technology Haddadi, Arash (Author) ; Ramazani, Ahmad (Supervisor) ; Mahdavian, Mohammad (Supervisor) ; Taheri, Peyman (Co-Supervisor) ; Mol, Arian (Co-Supervisor)
    Abstract
    Nowadays, self-healing process, repairing minor damages automatically without the need for detection or any type of manual intervention, becomes a hot topic of general interest. In this research, the effect of addition of carbon nanocontainers doped with film forming epoxy and polyamine agents in various contents on the self-healing properties of epoxy resin was investigated. Carbon nanocontainers were synthesized via the silica templating method and carbonization of polysaccharide shells at the high temperature. Loading of the film forming agents into carbon nanocontainers was performed using vacuum jar method in the presence of epoxy/acetone and polyamine/acetone dilute solutions.... 

    Evaluation the Effect of Molecular-Structural Properties of Asphaltene Fraction on Wettability Alteration and Crude Oil Dynamic Flow in Porous Media

    , M.Sc. Thesis Sharif University of Technology Bastami, Dariush (Author) ; Taghikhani, Vahid (Supervisor) ; Shahrabadi, Abbas (Co-Supervisor) ; Naderi, Hassan (Co-Supervisor) ; Taheri Shakib, Jaber (Co-Supervisor)
    Abstract
    In order to investigate the effect of molecular-structural properties of asphaltene fraction on changes in wettability and flow of crude oil in the porous medium, four crude oil samples from oil fields in southern Iran were tested ;To know the characteristics of crude oil, molecular-structural properties of asphaltene fraction and the effect of asphaltene fraction on the wettability properties of surface, Experiments such as crude oil density and viscosity measurement, crude oil hydrocarbon analysis, asphaltene extraction with standard IP-143 method, elemental analysis and metal content, gel permeation chromatography, nuclear magnetic resonance, interaction between rock and asphaltene.... 

    NMR spectroscopy-based metabolomic study of serum in sulfur mustard exposed patients with lung disease

    , Article Biomarkers ; 2016 , Pages 1-7 ; 1354750X (ISSN) Nobakht M. Gh., B. F ; Arefi Oskouie, A ; Rezaei Tavirani, M ; Aliannejad, R ; Taheri, S ; Fathi, F ; Naseri, M. T ; Sharif University of Technology
    Taylor and Francis Ltd  2016
    Abstract
    Sulfur mustard (SM) is a vesication chemical warfare agent for which there is currently no antidote. Despite years of research, there is no common consensus about the pathophysiological basis of chronic pulmonary disease caused by this chemical warfare agent. In this study, we combined chemometric techniques with nuclear magnetic resonance (NMR) spectroscopy to explore the metabolic profile of sera from SM-exposed patients. A total of 29 serum samples obtained from 17 SM-injured patients, and 12 healthy controls were analyzed by Random Forest. Increased concentrations of seven amino acids, glycerol, dimethylamine, ketone bodies, lactate, acetate, citrulline and creatine together with the... 

    A hybrid deep learning architecture for privacy-preserving mobile analytics

    , Article IEEE Internet of Things Journal ; Volume 7, Issue 5 , 2020 , Pages 4505-4518 Osia, S. A ; Shamsabadi, A. S ; Sajadmanesh, S ; Taheri, A ; Katevas, K ; Rabiee, H. R ; Lane, N. D ; Haddadi, H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Internet-of-Things (IoT) devices and applications are being deployed in our homes and workplaces. These devices often rely on continuous data collection to feed machine learning models. However, this approach introduces several privacy and efficiency challenges, as the service operator can perform unwanted inferences on the available data. Recently, advances in edge processing have paved the way for more efficient, and private, data processing at the source for simple tasks and lighter models, though they remain a challenge for larger and more complicated models. In this article, we present a hybrid approach for breaking down large, complex deep neural networks for cooperative, and... 

    NMR- and GC/MS-based metabolomics of sulfur mustard exposed individuals: a pilot study

    , Article Biomarkers ; Volume 21, Issue 6 , 2016 , Pages 479-489 ; 1354750X (ISSN) Nobakht, B. F ; Aliannejad, R ; Rezaei Tavirani, M ; Arefi Oskouie, A ; Naseri, M. T ; Parastar, H ; Aliakbarzadeh, G ; Fathi, F ; Taheri, S ; Sharif University of Technology
    Taylor and Francis Ltd  2016
    Abstract
    Sulfur Mustard (SM) is a potent alkylating agent and its effects on cells and tissues are varied and complex. Due to limitations in the diagnostics of sulfur mustard exposed individuals (SMEIs) by noninvasive approaches, there is a great necessity to develop novel techniques and biomarkers for this condition. We present here the first nuclear magnetic resonance (NMR) and gas chromatography-mass spectrometry (GC/MS) metabolic profiling of serum from and healthy controls to identify novel biomarkers in blood serum for better diagnostics. Of note, SMEIs were exposed to SM 30 years ago and that differences between two groups could still be found. Pathways in which differences between SMEIs and... 

    Application of the active learning method to the retrieval of pigment from spectral remote sensing reflectance data

    , Article International Journal of Remote Sensing ; Volume 30, Issue 4 , 2009 , Pages 1045-1065 ; 01431161 (ISSN) Taheri Shahraiyni, H ; Bagheri Shouraki, S ; Fell, F ; Schaale, M ; Fischer, J ; Tavakoli, A ; Preusker, R ; Tajrishy, M ; Vatandoust, M ; Khodaparast, H ; Sharif University of Technology
    2009
    Abstract
    Due to the noise that is present in remote sensing data, a robust method to retrieve information is needed. In this study, the active learning method (ALM) is applied to spectral remote sensing reflectance data to retrieve in-water pigment. The heart of the ALM is a fuzzy interpolation method that is called the ink drop spread (IDS). Three datasets (SeaBAM, synthetic and NOMAD) are used for the evaluation of the selected ALM approach. Comparison of the ALM with the ocean colour 4 (OC4) algorithm and the artificial neural network (ANN) algorithm demonstrated the robustness of the ALM approach in retrieval of in-water constituents from remote sensing reflectance data. In addition, the ALM... 

    Defining microRNA signatures of hair follicular stem and progenitor cells in healthy and androgenic alopecia patients

    , Article Journal of Dermatological Science ; 2020 Mohammadi, P ; Nilforoushzadeh, M. A ; Youssef, K. K ; Sharifi Zarchi, A ; Moradi, S ; Khosravani, P ; Aghdami, R ; Taheri, P ; Hosseini Salekdeh, G ; Baharvand, H ; Aghdami, N ; Sharif University of Technology
    Elsevier Ireland Ltd  2020
    Abstract
    Background: The exact pathogenic mechanism causes hair miniaturization during androgenic alopecia (AGA) has not been delineated. Recent evidence has shown a role for non-coding regulatory RNAs, such as microRNAs (miRNAs), in skin and hair disease. There is no reported information about the role of miRNAs in hair epithelial cells of AGA. Objectives: To investigate the roles of miRNAs affecting AGA in normal and patient's epithelial hair cells. Methods: Normal follicular stem and progenitor cells, as well as follicular patient's stem cells, were sorted from hair follicles, and a miRNA q-PCR profiling to compare the expression of 748 miRNA (miRs) in sorted cells were performed. Further, we... 

    Defining microRNA signatures of hair follicular stem and progenitor cells in healthy and androgenic alopecia patients

    , Article Journal of Dermatological Science ; Volume 101, Issue 1 , 2021 , Pages 49-57 ; 09231811 (ISSN) Mohammadi, P ; Nilforoushzadeh, M. A ; Youssef, K. K ; Sharifi Zarchi, A ; Moradi, S ; Khosravani, P ; Aghdami, R ; Taheri, P ; Hosseini Salekdeh, G ; Baharvand, H ; Aghdami, N ; Sharif University of Technology
    Elsevier Ireland Ltd  2021
    Abstract
    Background: The exact pathogenic mechanism causes hair miniaturization during androgenic alopecia (AGA) has not been delineated. Recent evidence has shown a role for non-coding regulatory RNAs, such as microRNAs (miRNAs), in skin and hair disease. There is no reported information about the role of miRNAs in hair epithelial cells of AGA. Objectives: To investigate the roles of miRNAs affecting AGA in normal and patient's epithelial hair cells. Methods: Normal follicular stem and progenitor cells, as well as follicular patient's stem cells, were sorted from hair follicles, and a miRNA q-PCR profiling to compare the expression of 748 miRNA (miRs) in sorted cells were performed. Further, we... 

    A new hybrid inverse modeling method for water quality monitoring using remotely sensed data

    , Article SPE Saudi Arabia Section Technical Symposium 2007, 7 May 2007 through 8 May 2007 ; 2007 ; 9781555639600 (ISBN) Shahraiyni, H. T ; Schaale, M ; Shouraki, S. B ; Fell, F ; Fischer, J ; Taheri, M ; Preusker, R ; Tajrishy, M ; Vatandoust, M ; Shahraeini, M. T ; Sani, P.N ; Taherishahraini, Z ; Khodaparast, H ; Sharif University of Technology
    Society of Petroleum Engineers  2007
    Abstract
    All of the man-made objects and anthropogenic activities related to the oil industries in water bodies (e.g. drilling, equipment installation, construction of oil platfonns and especially oil spillages) have enviromnental impacts on water ecosystems. The assessment of oil field operations and oil platfonns impacts on water quality have become a necessity throughout the world. Phytoplanktons have the lowest trophic level in water enviromnent; therefore the life of all of the other marine animals is highly relevant to phytoplanktonic population. Hence it seems necessary to monitor the spatiotemporal effects of different activities and events, related to oil industries on phytoplanktons.... 

    Carbon nanotubes part II: A remarkable carrier for drug and gene delivery

    , Article Expert Opinion on Drug Delivery ; Volume 12, Issue 7 , 2015 , Pages 1089-1105 ; 17425247 (ISSN) Karimi, M ; Solati, N ; Ghasemi, A ; Estiar, M. A ; Hashemkhani, M ; Kiani, P ; Mohamed, E ; Saeidi, A ; Taheri, M ; Avci, P ; Aref, A. R ; Amiri, M ; Baniasadi, F ; Hamblin, M. R ; Sharif University of Technology
    Informa Healthcare  2015
    Abstract
    Introduction: Carbon nanotubes (CNT) have recently been studied as novel and versatile drug and gene delivery vehicles. When CNT are suitably functionalized, they can interact with various cell types and are taken up by endocytosis.Areas covered: Anti-cancer drugs cisplatin and doxorubicin have been delivered by CNT, as well as methotrexate, taxol and gemcitabine. The delivery of the antifungal compound amphotericin B and the oral administration of erythropoietin have both been assisted using CNT. Frequently, targeting moieties such as folic acid, epidermal growth factor or various antibodies are attached to the CNT-drug nanovehicle. Different kinds of functionalization (e.g., polycations)... 

    High-Voltage, high-current electrical switching discharge synthesis of ZnO nanorods: A new method toward rapid and highly tunable synthesis of oxide semiconductors in open air and water for optoelectronic applications

    , Article ACS Applied Materials and Interfaces ; Volume 13, Issue 39 , 2021 , Pages 46951-46966 ; 19448244 (ISSN) Sharifi Malvajerdi, S ; Abrari, M ; Karimi, V ; Shafiee, M ; Ghollamhosseini, S ; Taheri Ghahrizjani, R ; Ahmadi, M ; Wang, D ; Sun, H ; Soltanmohammadi, M ; Imani, A ; Ghanaatshoar, M ; Mohseni, S. M ; Taghavinia, N ; Sharif University of Technology
    American Chemical Society  2021
    Abstract
    A novel method of oxide semiconductor nanoparticle synthesis is proposed based on high-voltage, high-current electrical switching discharge (HVHC-ESD). Through a subsecond discharge in the HVHC-ESD method, we successfully synthesized zinc oxide (ZnO) nanorods. Crystallography and optical and electrical analyses approve the high crystal-quality and outstanding optoelectronic characteristics of our synthesized ZnO. The HVHC-ESD method enables the synthesis of ZnO nanorods with ultraviolet (UV) and visible emissions. To demonstrate the effectiveness of our prepared materials, we also fabricated two UV photodetectors based on the ZnO nanorods synthesized using the subsecond HVHC-ESD method. The... 

    Carbon nanotubes part I: Preparation of a novel and versatile drug-delivery vehicle

    , Article Expert Opinion on Drug Delivery ; Volume 12, Issue 7 , 2015 , Pages 1071-1087 ; 17425247 (ISSN) Karimi, M ; Solati, N ; Amiri, M ; Mirshekari, H ; Mohamed, E ; Taheri, M ; Hashemkhani, M ; Saeidi, A ; Estiar, M. A ; Kiani, P ; Ghasemi, A ; Basri, S. M. M ; Aref, A. R ; Hamblin, M. R ; Sharif University of Technology
    Informa Healthcare  2015
    Abstract
    Introduction: It is 23 years since carbon allotrope known as carbon nanotubes (CNT) was discovered by Iijima, who described them as "rolled graphite sheets inserted into each other". Since then, CNTs have been studied in nanoelectronic devices. However, CNTs also possess the versatility to act as drug- and gene-delivery vehicles.Areas covered: This review covers the synthesis, purification and functionalization of CNTs. Arc discharge, laser ablation and chemical vapor deposition are the principle synthesis methods. Non-covalent functionalization relies on attachment of biomolecules by coating the CNT with surfactants, synthetic polymers and biopolymers. Covalent functionalization often... 

    Channelopathy-related SCN10A gene variants predict cerebellar dysfunction in multiple sclerosis

    , Article Neurology ; Volume 86, Issue 5 , 2016 , Pages 410-417 ; 00283878 (ISSN) Roostaei, T ; Sadaghiani, S ; Park, M. T. M ; Mashhadi, R ; Nazeri, A ; Noshad, S ; Salehi, M. J ; Naghibzadeh, M ; Moghadasi, A. N ; Owji, M ; Doosti, R ; Hashemi Taheri, A. P ; Rad, A. S ; Azimi, A ; Chakravarty, M. M ; Voineskos, A. N ; Nazeri, A ; Sahraian, M. A ; Sharif University of Technology
    Lippincott Williams and Wilkins  2016
    Abstract
    Objective: To determine the motor-behavioral and neural correlates of putative functional common variants in the sodium-channel NaV1.8 encoding gene (SCN10A) in vivo in patients with multiple sclerosis (MS). Methods: We recruited 161 patients with relapsing-onset MS and 94 demographically comparable healthy participants. All patients with MS underwent structural MRI and clinical examinations (Expanded Disability Status Scale [EDSS] and Multiple Sclerosis Functional Composite [MSFC]). Whole-brain voxel-wise and cerebellar volumetry were performed to assess differences in regional brain volumes between genotype groups. Resting-state fMRI was acquired from 62 patients with MS to evaluate... 

    The online atlas of the languages of Iran: Design, methodology and initial results

    , Article Language Related Research ; Volume 12, Issue 2 , 2021 , Pages 231-291 ; 23223081 (ISSN) Taheri Ardali, M ; Anonby, E ; Hayes, A ; Azin, Z ; Ebrahimi, Z ; Öpengin, E ; Atabaki, N. A ; Stone, A ; Stilo, D ; Esmaeelpour, E ; Amani Babadi, M ; Ourang, M ; Izadi, E ; Oikle, R ; Bahrani, N ; Borjian, H ; Bahrami, A ; Poshtvan, H ; Piryaee, S ; Pishyardehkordi, P ; Sabethemmatabadi, P ; Jaafari Dehaghi, S ; Doab, M. J ; Jamaleddin, F ; Joulaei, K ; Shabaniyan, H. H ; Khanjani, J ; Dianat, L ; Rashidi, A ; Borujeni, R. R ; Rahnema, Z ; Zamani Gandomani, Z ; Schreiber, L ; Sherafat, N ; Sheyholislami, J ; Salehi, M ; Talebi Dastenaei, M ; Kasgari, A. A. A ; Ghiasian, M. S ; Fattahi, M ; Ghandi, S ; Gheitasi Doolabi, M ; Kamali, R ; Goshtasb, F ; Bahmani, H. M ; Mohammadi, M ; Moradi, R ; Meshkinfam, M ; Khoo, R. M ; Bahram, A. N ; Nemati, F ; Nourzaei, M ; Wang, E ; Hashemi Zarajabad, H ; Sharif University of Technology
    Tarbiat Modares University  2021
    Abstract
    Iran is home to a treasury of languages representing diverse language families: Iranic, Turkic, Semitic, Indic, Dravidian, Armenian, and Kartvelian, as well as sign languages. Despite valuable research carried out by Iranian and western scholars, there is still no comprehensive publication depicting the geographic distribution and linguistic status of language varieties in Iran. In order to work toward this goal, the Atlas of the Languages of Iran (ALI) (www.iranatlas.net) was officially launched in 2015 as an international, online research programme. The present study opens with a historical overview of the research context and underlines the ongoing necessity of constructing such an atlas... 

    Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

    , Article The Lancet Gastroenterology and Hepatology ; Volume 7, Issue 9 , 2022 , Pages 796-829 ; 24681253 (ISSN) Sheena, B. S ; Hiebert, L ; Han, H ; Ippolito, H ; Abbasi-Kangevari, M ; Abbasi-Kangevari, Z ; Abbastabar, H ; Abdoli, A ; Abubaker Ali, H ; Adane, M. M ; Adegboye, O. A ; Adnani, Q. E. S ; Advani, S. M ; Afzal, M. S ; Afzal, S ; Aghaie Meybodi, M ; Ahadinezhad, B ; Ahinkorah, B. O ; Ahmad, S ; Ahmad, T ; Ahmadi, S ; Ahmed, H ; Ahmed, M. B ; Rashid, T. A ; Akalu, G. T ; Aklilu, A ; Akram, T ; Al Hamad, H ; Alahdab, F ; Alem, A ; Alem, D. T ; Alhalaiqa, F. A. N ; Alhassan, R. K ; Ali, L ; Ali, M. A ; Alimohamadi, Y ; Alipour, V ; Alkhayyat, M ; Almustanyir, S ; Al-Raddadi, R. M ; Altawalah, H ; Amini, S ; Amu, H ; Ancuceanu, R ; Andrei, C. L ; Andrei, T ; Anoushiravani, A ; Ansar, A ; Anyasodor, A. E ; Arabloo, J ; Arab-Zozani, M ; Argaw, A. M ; Argaw, Z. G ; Arshad, M ; Artamonov, A. A ; Ashraf, T ; Atlaw, D ; Ausloos, F ; Ausloos, M ; Azadnajafabad, S ; Azangou-Khyavy, M ; Azari Jafari, A ; Azarian, G ; Bagheri, S ; Bahadory, S ; Baig, A. A ; Banach, M ; Barati, N ; Barrow, A ; Batiha, A.-M. M ; Bejarano Ramirez, D. F ; Belgaumi, U. I ; Berhie, A. Y ; Bhagat, D. S ; Bhardwaj, N ; Bhardwaj, P ; Bhattacharyya, K ; Bhojaraja, V. S ; Bijani, A ; Biondi, A ; Bodicha, B. B. A ; Bojia, H. A ; Boloor, A ; Bosetti, C ; Braithwaite, D ; Briko, N. I ; Butt, Z. A ; Cámera, L. A ; Chakinala, R. C ; Chakraborty, P. A ; Charan, J ; Chen, S ; Choi, J.-Y. J ; Choudhari, S. G ; Chowdhury, F. R ; Chu, D.-T ; Chung, S.-C ; Cortesi, P. A ; Cowie, B. C ; Culbreth, G. T ; Dadras, O ; Dai, X ; Dandona, L ; Dandona, R ; De La Hoz, F. P ; Debela, S. A ; Dedefo, M. G ; Demeke, F. M ; Demie, T. G. G ; Demissie, G. D ; Derbew Molla, M ; Desta, A. A ; Dhamnetiya, D ; Dhimal, M. L ; Dhimal, M ; Didehdar, M ; Doan, L.P ; Dorostkar, F ; Drake, T.M ; Eghbalian, F ; Ekholuenetale, M ; El Sayed, I ; El Sayed Zaki, M ; Elhadi, M ; Elmonem, M. A ; Elsharkawy, A ; Enany, S ; Enyew, D. B ; Erkhembayar, R ; Eskandarieh, S ; Esmaeilzadeh, F ; Ezzikouri, S ; Farrokhpour, H ; Fetensa, G ; Fischer, F ; Foroutan, M ; Gad, M. M ; Gaidhane, A. M ; Gaidhane, S ; Galles, N. C ; Gallus, S ; Gebremeskel, T. G ; Gebreyohannes, E. A ; Ghadiri, K ; Ghaffari, K ; Ghafourifard, M ; Ghamari, S.-H ; Ghashghaee, A ; Gholami, A ; Gholizadeh, A ; Gilani, A ; Goel, A ; Golechha, M ; Goleij, P ; Golinelli, D ; Gorini, G ; Goshu, Y. A ; Griswold, M. G ; Gubari, M. I. M ; Gupta, B ; Gupta, S ; Gupta, V. B ; Gupta, V. K ; Haddadi, R ; Halwani, R ; Hamid, S.S ; Hamidi, S ; Hanif, A ; Haque, S ; Harapan, H ; Hargono, A ; Hariri, S ; Hasaballah, A. I ; Hasan, S. M. M ; Hassanipour, S ; Hassankhani, H ; Hay, S. I ; Hayat, K ; Heidari, G ; Herteliu, C ; Heyi, D. Z ; Hezam, K ; Holla, R ; Hosseini, M. S ; Hosseini, M ; Hosseinzadeh, M ; Hostiuc, M ; Househ, M ; Huang, J ; Hussein, N. R ; Iavicoli, I ; Ibitoye, S. E ; Ilesanmi, O. S ; Ilic, I. M ; Ilic, M. D ; Irham, L. M ; Islam, J. Y ; Ismail, N. E ; Jacobsen, K. H ; Jadidi-Niaragh, F ; Javadi Mamaghani, A ; Jayaram, S ; Jayawardena, R ; Jebai, R ; Jha, R. P ; Joseph, N ; Joukar, F ; Kaambwa, B ; Kabir, A ; Kabir, Z ; Kalhor, R ; Kandel, H ; Kanko, T. K. T ; Kantar, R. S ; Karaye, I. M ; Kassa, B. G ; Kemp Bohan, P. M ; Keykhaei, M ; Khader, Y. S ; Khajuria, H ; Khan, G ; Khan, I. A ; Khan, J ; Khan, M. A ; Khanali, J ; Khater, A. M ; Khatib, M. N ; Khodadost, M ; Khoja, A. T ; Khosravizadeh, O ; Khubchandani, J ; Kim, G. R ; Kim, H ; Kim, M. S ; Kim, Y. J ; Kocarnik, J. M ; Kolahi, A. A ; Koteeswaran, R ; Kumar, G. A ; La Vecchia, C ; Lal, D. K ; Landires, I ; Lasrado, S ; Lazarus, J. V ; Ledda, C ; Lee, D. W ; Lee, S. W ; Lee, Y. Y ; Levi, M ; Li, J ; Lim, S. S ; Lobo, S. W ; Lopukhov, P. D ; Loureiro, J. A ; MacLachlan, J. H ; Magdy Abd El Razek, H ; Magdy Abd El Razek, M ; Majeed, A ; Makki, A ; Malekpour, M. R ; Malekzadeh, R ; Malik, A. A ; Mansour-Ghanaei, F ; Mansournia, M. A ; Martins Melo, F. R ; Matthews, P. C ; Mendoza, W ; Menezes, R.G ; Meretoja, T.J ; Mersha, A.G ; Mestrovic, T ; Miller, T. R ; Minh, L. H. N ; Mirica, A ; Mirmoeeni, S ; Mirrakhimov, E. M ; Misra, S ; Mithra, P ; Moazen, B ; Mohamadkhani, A ; Mohammadi, M ; Mohammed, S ; Moka, N ; Mokdad, A. H ; Moludi, J ; Momtazmanesh, S ; Monasta, L ; Moradi, G ; Moradzadeh, M ; Moradzadeh, R ; Moraga, P ; Mostafavi, E ; Mubarik, S ; Muniyandi, M ; Murray, C. J. L ; Naghavi, M ; Naimzada, M. D ; Narasimha Swamy, S ; Natto, Z. S ; Nayak, B. P ; Nazari, J ; Negoi, I ; Negru, S. M ; Nejadghaderi, S. A ; Neupane Kandel, S ; Nguyen, H. L. T ; Ngwa, C. H ; Niazi, R. K ; Nnaji, C. A ; Noubiap, J. J ; Nowroozi, A ; Nuñez- Samudio, V ; Oancea, B ; Ochir, C ; Odukoya, O. O ; Oh, I. H ; Olagunju, A. T ; Olakunde, B. O ; Omar Bali, A ; Omer, E ; Otstavnov, S. S ; Oumer, B ; Padubidri, J. R ; Pana, A ; Pandey, A ; Park, E. C ; Pashazadeh Kan, F ; Patel, U. K ; Paudel, U ; Petcu, I. R ; Piracha, Z. Z ; Pollok, R. C. G ; Postma, M. J ; Pourshams, A ; Poustchi, H ; Rabiee, M ; Rabiee, N ; Rafiei, A ; Rafiei, S ; Raghuram, P. M ; Rahman, M ; Rahmani, A. M ; Rahmawaty, S ; Rajesh, A ; Ranasinghe, P ; Rao, C. R ; Rao, S. J ; Rashidi, M ; Rashidi, M. M ; Rawaf, D. L ; Rawaf, S ; Rawassizadeh, R ; Rezaei, N ; Rezapour, A ; Rezazadeh Khadem, S ; Rodriguez, J. A. B ; Rwegerera, G. M ; Sabour, S ; Saddik, B ; Saeb, M. R ; Saeed, U ; Sahebkar, A ; Saif-Ur-Rahman, K. M ; Salahi, S ; Salimzadeh, H ; Sampath, C ; Samy, A. M ; Sanabria, J ; Sanmarchi, F ; Santric Milicevic, M. M ; Sarveazad, A ; Sathian, B ; Sawhney, M ; Seidu, A. A ; Sepanlou, S. G ; Seylani, A ; Shahabi, S ; Shaikh, M. A ; Shaker, E ; Shakhmardanov, M. Z ; Shannawaz, M ; Shenoy, S. M ; Shetty, J. K ; Shetty, P. H ; Shibuya, K ; Shin, J. I ; Shobeiri, P ; Sibhat, M. M ; Singh, A. D ; Singh, J. A ; Singh, S ; Skryabin, V. Y ; Skryabina, A. A ; Sohrabpour, A. A ; Song, S ; Tabaeian, S. P ; Tadesse, E. G ; Taheri, M ; Tampa, M ; Tan, K. K ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    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...