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12 results on '"Tölfræði"'

1. The Association between Relative Age Effect, Goals Scored, Shooting Effectiveness and the Player’s Position, and her Team’s Final Classification in International Level Women’s Youth Handball

Author: Yzan Saavedra, Jose M. Saavedra, Íþróttafræðideild (HR), Department of Sport Science (RU), Physical Activity, Physical Education, Health and Sport Research Centre (PAPESH) (RU), Samfélagssvið (HR), School of Social Sciences (RU), Háskólinn í Reykjavík, and Reykjavik University
Subjects: Performance, Aldurshópar, Physical Therapy, Sports Therapy and Rehabilitation, Developmental psychology, Wing, pivot, Sports sciences, throwing, Orthopedics and Sports Medicine, Game-related statistics, Association (psychology), Team handball, wing, Throwing, International level, Relative Age Effect, Back, Tölfræði, Hópíþróttir, Handboltamenn, Rehabilitation, Frammistöðumat, game-related statistics, Relative age effect, back, Position (obstetrics), Íþróttafræði, Handbolti, GV557-1198.995, Sports medicine, Psychology, RC1200-1245, Árangursmælingar, performance, Pivot, Sports
Abstract: Publlisher's version (útgefin grein), The objectives of this study were (i) to determine whether there is a relationship between the relative age effect (RAE) and the final classification of the teams, player's positions, number of goals scored, and shooting effectiveness, and (ii) to determine whether there are differences in the number of goals scored and shooting effectiveness depending on the final classification and player's positions. The study subjects were 380 players who took part in the 2018 Women's Youth World Handball Championship. The independent variables were the relative age effect and the number of goals and shooting effectiveness of each type of shot. The dependent variables were the player's position and the team's final classification. To investigate the relationship between the RAE and the team's final classification, player's position, goals scored, and shooting effectiveness, contingency tables were drawn up and subjected to a chi-squared test. The dependence of the differences in goals and shooting effectiveness on the team's final classification and the player's position was studied by means of an ANOVA with a Tukey post hoc test. For the sample overall, there was no RAE, only an association between the classification and the year of birth, with more players born in the senior year in the teams ranked from 1st to 8th place than in those classified from 9th to 24th place. The teams classified from 1st to 4th had more significant numbers of several variables. There were differences in goals and shooting effectiveness, depending on the player's position., "Peer Reviewed"
Published: 2020

2. End-to-end model of Icelandic waters using the Atlantis framework: Exploring system dynamics and model reliability

Author: Gunnar Stefansson, Elizabeth A. Fulton, Bjarki Þór Elvarsson, Erla Sturludottir, Rebecca Gorton, Kai Logemann, Christopher David Desjardins, Raunvísindastofnun (HÍ), Science Institute (UI), Líf- og umhverfisvísindadeild (HÍ), Faculty of Life and Environmental Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, and University of Iceland
Subjects: Vistkerfi, 0106 biological sciences, Redfish, Stock assessment, 010504 meteorology & atmospheric sciences, Atlantis, Vistfræði, Aquatic Science, 01 natural sciences, Ecosystem model, Sjávarútvegur, Ecosystem, 14. Life underwater, 0105 earth and related environmental sciences, Biomass (ecology), Tölfræði, biology, Primary producers, Norður-Atlantshaf, 010604 marine biology & hydrobiology, Icelandic waters, Skill assessment, biology.organism_classification, language.human_language, Fishery, Líkanagerð, language, Environmental science, Hafið, Fisheries management, Sensitivity analysis, Icelandic
Abstract: Publisher's version (útgefin grein), Icelandic waters are very productive and the fisheries are economically important for the Icelandic nation. The importance of the fisheries has led to progressive fisheries management and extensive monitoring of the ecosystem. However, fisheries management is mainly built on single species stock assessment models, and multi-species or ecological models are essential for building capacity around ecosystem-based fisheries management. This paper describes the first end-to-end model for the Icelandic waters using the Atlantis modeling framework. The modeled area is 1,600,000 km2, and covers the area from Greenland through Icelandic waters to the Faroe Islands. The ocean area was divided into 51 spatial boxes, each with multiple vertical layers. There were 52 functional groups in the model: 20 fish groups (8 at a species level), 5 groups of mammals, 1 seabird group, 16 invertebrates, 5 primary producers, 2 bacteria and 3 detritus groups. The reliability of the model was evaluated using a skill assessment and a sensitivity analysis was conducted to understand the dynamics of the system. The sensitivity study revealed that saithe, redfish and tooth whales had the greatest effect on other groups in the system. The skill assessment showed that the model was able to replicate time-series of biomass and landings for the most important commercial groups and that modeling of the recruitment processes was important for some of the groups. This model now provides a solid basis for evaluating alternative ecosystem and fisheries management scenarios, and should produce reliable results for the most important commercial groups., This study has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 613571 for the project MareFrame and from the European Commission’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the project Science, Technology, and Society Initiative to minimize Unwanted Catches in European Fisheries (Minouw). Funding from the Icelandic Research Fund (rannis, No. 152039051) is also acknowledged.
Published: 2018

3. Spatio-temporal statistical models for glaciology

Author: Gopalan, Giridhar Raja, Birgir Hrafnkelsson, Raunvísindadeild (HÍ), Faculty of Physical Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, and University of Iceland
Subjects: Spatio-temporal statistics, Tölfræði, Líkön, Glaciology, Doktorsritgerðir, Jöklafræði, Uncertainty quantification, Bayesian hierarchical modeling
Abstract: The purpose of this thesis is to develop spatio-temporal statistical models for glaciology, using the Bayesian hierarchical framework. Specifically, the process level is modeled as a time series of computer simulator outputs (i.e., from a numerical partial differential equation solver or an emulator) added to an error-correcting statistical process, closely related to the concept of model discrepancy. This error-correcting process accounts for spatial variability in simulator inaccuracies, as well as the accumulation of simulator inaccuracies forward in time. For computational efficiency, linear algebra for bandwidth-limited matrices is used for evaluating the likelihood of the model, and first-order emulator inference allows for the fast approximation of numerical solvers. Additionally, a computationally efficient approximation for the likelihood is derived. Analytical solutions to the shallow ice approximation (SIA) of the full Stokes equation system for stress balance of ice are used to examine the speed and accuracy of the computational methods used, in addition to the validity of modeling assumptions. Moreover, the modeling and methodology within this thesis are tested on data sets collected by the University of Iceland Institute of Earth Science (UI-IES) glaciology team, including bi-yearly mass balance measurements at 25 fixed sites at Langjökull (a glacier) over 19 years, in addition to 100 meter resolution digital elevation maps. As a byproduct of the construction of the Bayesian hierarchical model, a novel finite difference method is derived for solving the SIA partial differential equation (PDE). Although the application domain of this work is glaciology, the model and methods developed in this thesis can be applied to other geophysical domains. The thesis is structured around three papers. The first of these papers reviews dynamical modeling of glacial flow, introduces a second-order finite difference method for solving the SIA PDE, presents a Bayesian hierarchical model involving this numerical solver, and validates the model with analytical solutions to the SIA PDE. The second of these papers generalizes the statistical model of the first paper, probes higher- order random walks for representing model discrepancy, incorporates first-order emulators, and analyzes methods for efficient log-likelihood evaluation. The third of these papers applies the model framework of the first two papers to mass balance and surface elevation data at Langjökull. The major contributions of the thesis are the derivation of a new numerical method for solving the SIA PDE in two spatial dimensions and time, the use of a random walk to represent model discrepancy (i.e., an error-correcting process), efficient methods for log-likelihood evaluation, and the application of spatio-temporal statistical modeling to Langjökull, one of Iceland’s main glaciers., Markmið þessarar ritgerðar er að þróa tíma- og rýmisháð tölfræðileg líkön fyrir jökla með því að nota stigskipt Bayesísk líkön. Hér er sá hluti stigskipta Bayesíska líkansins sem snýr að undirliggjandi líkani fyrir ferlið sem er verið að skoða, útfærður þannig að tímaraðirnar sem koma frá tölulegum hermi (þ.e. frá tölulegri lausn á hlutafleiðujöfnu eða nálgun á slíkri tölulegri lausn) eru lagðar saman við líkindafræðilegt ferli sem hefur það hlutverk að leiðrétta fyrir mismuninn á milli tölulega hermisins og raunverulega ferlisins, og er nátengd hugmyndinni um misræmi líkana. Þetta líkindafræðilega ferli leiðréttir fyrir rýmisháð frávik og tekur tillit til að frávikin safnist upp yfir tíma. Til að flýta fyrir útreikningum þá er línuleg algebra fyrir rýr fylki notuð til að reikna sennileikafall líkansins og fyrstu gráðu hermar notaðir til að flýta fyrir útreikningum á tölulegum lausnum hlutafleiðujafna eða öðrum kerfum. Að auki er ný reiknisparandi nálgun fundin fyrir sennileikafallið. Fræðilegar lausnir á þunnjökla nálguninni sem byggir á jöfnum Stokes fyrir spennur í jöklum, eru notaðar til að meta reiknihraða og nákvæmni tölulegra nálgana, og hversu vel líkanið fellur að gögnunum. Að auki er líkönunum og aðferðafræðinni í þessari ritgerð beitt á raunveruleg gagnasöfn sem Jarðvísindastofnun Háskóla Íslands hefur sett saman, þar með taldar afkomumælingar á 22-25 föstum stöðum sem teknar eru tvisvar á ári á Langjökli yfir 19 ára tímabil, auk hæðarkorts sem hefur 100 metra upplausn. Aukaafurð sem kom til við smíði á stigskipta Bayesíska líkaninu, er ný mismunaaðferð til að leysa tölulega hlutafleiðujöfnuna fyrir þunnjökla nálgunina. Þó svo að aðferðirnar sem hér eru settar fram séu fyrir jöklafræði þá má útfæra þær fyrir önnur jarðeðlisfræðileg gögn og tilsvarandi líkön. Ritgerðin byggir á þremur vísindagreinum. Í fyrstu greininni er farið yfir þau líkön sem hafa verið þróuð til að lýsa hreyfingu jökla, annarar gráðu mismunaaðferð til að leysa tölulegu hlutafleiðujöfnuna fyrir þunnjökla nálgunina er kynnt sem og stigskipt Bayesískt líkan sem notar tölulegu lausnina, og mat byggt á stigskipta Bayesíska líkaninu er borið saman við fræðilega lausn þunnjökla nálgunarinnar. Í grein tvö er fjallað um nánari útfærslu á tölfræðinni og útreikningunum fyrir stigskipta Bayesíska líkanið, slembigangur af stigi hærra en einn er skoðaður sem líkindafræðilegt líkan fyrir mismuninn á milli tölulega hermisins og raunveruleikans, sýnd notkun á fyrstu gráðu hermum, og ný reiknisparandi nálgun fyrir sennileikafallið er kynnt. Í þriðju greininni er aðferðafræði fyrstu tveggja greinanna beitt á afkomugögn og hæðargögn frá Langjökli. Framlag ritgerðarinnar felst í: (i) nýrri annarrar gráðu mismunaaðferð til að leysa tölulegu hlutafleiðujöfnuna fyrir þunnjökla nálgunina í tveimur rúmvíddum og tíma, (ii) notkun slembigangs til að lýsa mismuninum á milli tölulega hermisins og raunverulega ferlisins, (iii) nýrri reiknisparandi nálgun fyrir sennileikafallið, (iv) að beita nýju tíma- og rýmisháðu tölfræðilegu líkani fyrir jökla við greiningu gagna frá Langjökli, einum af stærstu jöklum Íslands., Icelandic Research Fund
Published: 2019

4. popSTR2 enables clinical and population-scale genotyping of microsatellites

Author: Hannes P. Eggertsson, Snaedis Kristmundsdottir, Gudny A. Arnadottir, Bjarni V. Halldorsson, Verkfræðideild (HR), Department of Engineering (RU), Tæknisvið (HR), School of Technology (RU), Reykjavík University (RU), and Háskólinn í Reykjavík (HR)
Subjects: Statistics and Probability, Genotype, Computer science, Population, Líkindafræði, Computational biology, Biochemistry, Lífefnafræði, 03 medical and health sciences, 0302 clinical medicine, education, Tölvunarfræði, Genotyping, Molecular Biology, 030304 developmental biology, Supplementary data, 0303 health sciences, education.field_of_study, Tölfræði, Applications Notes, Computer Science Applications, Computational Mathematics, Computational Theory and Mathematics, Sameindalíffræði, Microsatellite, Scale (map), Sequence Analysis, 030217 neurology & neurosurgery, Software, Microsatellite Repeats
Abstract: Summary: popSTR2 is an update and augmentation of our previous work ‘popSTR: a population-based microsatellite genotyper’. To make genotyping sensitive to inter-sample differences, we supply a kernel to estimate sample-specific slippage rates. For clinical sequencing purposes, a panel of known pathogenic repeat expansions is provided along with a script that scans and flags for manual inspection markers indicative of a pathogenic expansion. Like its predecessor, popSTR2 allows for joint genotyping of samples at a population scale. We now provide a binning method that makes the microsatellite genotypes more amenable to analysis within standard association pipelines and can increase association power. Availability and implementation: https://github.com/DecodeGenetics/popSTR. Contact: snaedisk@decode.is or bjarni.halldorsson@decode.is Supplementary information: Supplementary data are available at Bioinformatics online., Peer Reviewed (ritrýnd grein)
Published: 2019

5. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Biadgilign, Sibhatu, Bicer, Burcu Kucuk, Bienhoff, Kelly, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Blyth, Fiona M, Boneya, Dube Jara, Bose, Dipan, Bou-Orm, Ibrahim R, Bourne, Rupert R A, Brainin, Michael, Brayne, Carol, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul S, Britton, Gabrielle, Brugha, Traolach S, Buchbinder, Rachelle, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campos-Nonato, Ismael Ricardo, Carabin, Hélène, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesus, Carter, Austin, Carvalho, Felix, Casey, Daniel, Castañeda-Orjuela, Carlos A, Castle, Chris D, Catalá-López, Ferrán, Chang, Jung-Chen, Charlson, Fiona J, Chaturvedi, Pankaj, Chen, Honglei, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Chowdhury, Rajiv, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Colombara, Danny, Cooper, Leslie Trumbull, Cooper, Cyrus, Cortesi, Paolo Angelo, Cortinovis, Monica, Criqui, Michael H, Cromwell, Elizabeth A, Cross, Marita, Crump, John A, Dadi, Abel Fekadu, Dalal, Koustuv, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, das Neves, José, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, De Leo, Diego, De Steur, Hans, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dey, Subhojit, Dharmaratne, Samath D, Dhillon, Preet K, Dicker, Daniel, Djalainia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Dorsey, E Ray, dos Santos, Kadine Priscila Bender, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Ebel, Beth E, Echko, Michelle, El-Khatib, Ziad Ziad, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshetie, Setegn, Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Farag, Tamer, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Foreman, Kyle J, Franklin, Richard C, Frostad, Joseph J, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Futran, Neal D, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Geleijnse, Johanna M, Geleto, Ayele, Gemechu, Bikila Lencha, Gesesew, Hailay Abrha, Gething, Peter W, Ghajar, Alireza, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim Abdelmageem Mohamed, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W, Goel, Kashish, Goenka, Shifalika, Goldberg, Ellen M, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Gosselin, Richard A, Gotay, Carolyn C, Goto, Atsushi, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gupta, Rahul, Gutiérrez, Reyna A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hammami, Mouhanad, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Haro, Josep Maria, Harun, Kimani M, Harvey, James, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Simon I, Hay, Roderick J, Hedayati, Mohammad T, Hendrie, Delia, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Heydarpour, Pouria, Hoek, Hans W, Hoffman, Howard J, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Huynh, Chantal, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ikeda, Chad, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, James, Peter, Jassal, Simerjot K, Javanbakht, Mehdi, Jayaraman, Sudha P, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Guohong, John, Denny, Johnson, Catherine O, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Kar, Chittaranjan, Karam, Nadim E, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M, Karimkhani, Chante, Kasaeian, Amir, Kassa, Getachew Mullu, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah T, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kotsakis, Georgios A, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J, Kumar, G Anil, Kumar, Pushpendra, Kyu, Hmwe H, Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C, Larsson, Anders, Leasher, Janet L, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Liu, Patrick Y, Liu, Angela, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Looker, Katharine J, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Timothy C D, Lunevicius, Raimundas, Lyons, Ronan A, Macarayan, Erlyn Rachelle King, Maddison, Emilie R, Magdy Abd El Razek, Hassan Magdy Abd, Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A, Manguerra, Helena, Manhertz, Treh, Mantovani, Lorenzo G, Mapoma, Chabila C, March, Lyn M, Marczak, Laurie B, Martinez-Raga, Jose, Martins, Paulo Henrique Viegas, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Mathur, Manu Raj, Mazidi, Mohsen, McAlinden, Colm, McGaughey, Madeline, McGrath, John J, McKee, Martin, Mehata, Suresh, Meier, Toni, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Mensah, George A, Meretoja, Tuomo J, Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mitchell, Philip B, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Muktar Sano Kedir, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B V, Mokdad, Ali H, Mollenkopf, Sarah K, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Mori, Rintaro, Morrison, Shane D, Moses, Mark, Mountjoy-Venning, Cliff, Mruts, Kalayu Birhane, Mueller, Ulrich O, Muller, Kate, Murdoch, Michele E, Murray, Christopher J L, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Srinivas, Musa, Kamarul Imran, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S, Nangia, Vinay, Nasher, Jamal T, Natarajan, Gopalakrishnan, Negasa, Dumessa Edessa, Negoi, Ruxandra Irina, Negoi, Ionut, Newton, Charles R, Ngunjiri, Josephine Wanjiku, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Nguyen, Minh, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nong, Vuong Minh, Norheim, Ole F, Norrving, Bo, Noubiap, Jean Jacques N, Nyandwi, Alypio, Obermeyer, Carla Makhlouf, O'Donnell, Martin J, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, 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Uthman, O, Uzochukwu, B, van Boven, J, Varughese, S, Vasankari, T, Veerman, L, Venkatesh, S, Venketasubramanian, N, Vidavalur, R, Vijayakumar, L, Violante, F, Vishnu, A, Vladimirov, S, Vlassov, V, Vollset, S, Vos, T, Wadilo, F, Wakayo, T, Wallin, M, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, R, Weiss, D, Werdecker, A, Westerman, R, Whiteford, H, Wijeratne, T, Williams, H, Wiysonge, C, Woldeyes, B, Wolfe, C, Woodbrook, R, Woolf, A, Workicho, A, Xavier, D, Xu, G, Yadgir, S, Yaghoubi, M, Yakob, B, Yan, L, Yano, Y, Ye, P, Yihdego, M, Yimam, H, Yip, P, Yonemoto, N, Yoon, S, Yotebieng, M, Younis, M, Yu, C, Zaidi, Z, Zaki, M, Zegeye, E, Zenebe, Z, Zhang, X, Zheng, Y, Zhou, M, Zipkin, B, Zodpey, S, Zoeckler, L, Zuhlke, L, Brayne, Carol [0000-0001-5307-663X], Chowdhury, Rajiv [0000-0003-4881-5690], and Apollo - University of Cambridge Repository
Subjects: Male, Dánarmein, AUSTRALIA, GBD, disability-adjusted life-years (DALYs), Heilsufar, Lífslíkur, Epidemiology, Life expectancy, Diseases, Global Health, THERAPY, Global Burden of Disease, Residence Characteristics, Fullorðnir, Cause of Death, Medicine and Health Sciences, Psychology, Konur, Aged, 80 and over, Tölfræði, PLASMODIUM-FALCIPARUM, Aldraðir, Sjúkdómar, Medicine (all), Fatlaðir, Men, Þjóðir, 11 Medical And Health Sciences, ASSOCIATION, Middle Aged, Health policy, PREVALENCE, Sálfræði, disability-adjusted life-years (DALYs), Female, Lýðheilsa, Quality-Adjusted Life Years, Life Sciences & Biomedicine, Global Health Metrics, Adult, AFRICA, Quality of life, People with disabilities, GBD, WEIGHTS, Social ecology, Lífsgæði, Communicable Diseases, World health/statistics, Age Distribution, Life Expectancy, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Heilbrigðisstefna, Humans, Adults, Disabled Persons, Women, Sex Distribution, Mortality, Noncommunicable Diseases, Aged, Science & Technology, Faraldsfræði, MORTALITY, Wounds and injuries, EPIDEMIOLOGIC TRANSITION, HIV, Áverkar, Karlar, Wounds and Injuries, Félagshagfræði, Older people
Abstract: Correction in: LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017, Background Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI). Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate. Findings The highest globally observed HALE at birth for both women and men was in Singapore, at 75.2 years (95% uncertainty interval 71.9-78.6) for females and 72.0 years (68.8-75.1) for males. The lowest for females was in the Central African Republic (45.6 years [42.0-49.5]) and for males was in Lesotho (41.5 years [39.0-44.0]). From 1990 to 2016, global HALE increased by an average of 6.24 years (5.97-6.48) for both sexes combined. Global HALE increased by 6.04 years (5.74-6.27) for males and 6.49 years (6.08-6.77) for females, whereas HALE at age 65 years increased by 1.78 years (1.61-1.93) for males and 1.96 years (1.69-2.13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2.3% [-5.9 to 0.9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16.1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally. Interpretation At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support., Bill & Melinda Gates Foundation
Published: 2017

6. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M., Abd-Allah, Foad, Abera, Semaw Ferede, Abraha, Haftom Niguse, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M. E., Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adetifa, Ifedayo Morayo O., Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibthiel, Aiyar, Sneha, Akanda, Ali Shafqat, Akinyemiju, Tomi F., Akseer, Nadia, Al Lami, Faris Hasan, Alabed, Samer, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Aldridge, Robert William, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alizadeh-Navaei, Reza, Aljunid, Syed M., Alkaabi, Juma M., Alkerwi, Ala'a, Alla, François, Allam, Shalini D., Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Amare, Azmeraw T., Ameh, Emmanuel A., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Assaye, Ashagre Molla, Atey, Tesfay Mehari, Atre, Sachin R., Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Balalla, Shivanthi, Barac, Aleksandra, Barber, Ryan M., Barboza, Miguel A., Barker-Collo, Suzanne L., Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bennett, James R., Bensenor, Isabela M., Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Bjerregaard, Peter, Blosser, Christopher D., Boneya, Dube Jara, Boufous, Soufiane, Bourne, Rupert R. A., Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Brugha, Traolach S., Bukhman, Gene, Bulto, Lemma Negesa Bulto, Bumgarner, Blair Randal, Burch, Michael, Butt, Zahid A., Cahill, Leah E., Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael Ricardo, Car, Josip, Car, Mate, Cárdenas, Rosario, Carpenter, David O., Carrero, Juan Jesus, Carter, Austin, Castañeda-Orjuela, Carlos A., Castro, Franz F., Castro, Ruben Estanislao, Catalá-López, Ferrán, Chen, Honglei, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A., Choi, Jee-Young Jasmine, Christensen, Hanne, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Colquhoun, Samantha M., Coresh, Josef, Criqui, Michael H., Cromwell, Elizabeth A., Crump, John A., Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I., das Neves, José, Davey, Gail, Davitoiu, Dragos V., Davletov, Kairat, de Courten, Barbora, De Leo, Diego, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C., Dey, Subhojit, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Ding, Eric L., Dixit, Priyanka, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Donnelly, Christl Ann, dos Santos, Kadine Priscila Bender, Douwes-Schultz, Dirk, Driscoll, Tim R., Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Dwivedi, Laxmi Kant, Ebrahimi, Hedyeh, El Bcheraoui, Charbel, Ellingsen, Christian Lycke, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshetie, Setegn, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Faro, André, Farvid, Maryam S., Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Fernandes, João C., Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Foigt, Nataliya, Foreman, Kyle J., Frank, Tahvi, Franklin, Richard C., Fraser, Maya, Friedman, Joseph, Frostad, Joseph J., Fullman, Nancy, Fürst, Thomas, Furtado, Joao M., Futran, Neal D., Gakidou, Emmanuela, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Garcia-Basteiro, Alberto L., Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebrekidan, Kahsu Gebrekirstos, Gebremichael, Mengistu Welday, Gelaye, Amha Admasie, Geleijnse, Johanna M., Gemechu, Bikila Lencha, Gemechu, Kasiye Shiferaw, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W., Gibney, Katherine B., Gill, Paramjit, Gillum, Richard F., Giref, Ababi Zergaw, Girma, Bedilu Weji, Giussani, Giorgia, Goenka, Shifalika, Gomez, Beatriz, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C., Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A., Hafezi-Nejad, Nima, Hakuzimana, Alex, Halasa, Yara A., Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hammami, Mouhanad, Hancock, Jamie, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Hareri, Habtamu Abera, Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J., Hay, Simon I., He, Fei, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hilawe, Esayas Haregot, Hoek, Hans W., Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Huang, Hsiang, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ileanu, Bogdan Vasile, Inoue, Manami, Irenso, Asnake Ararsa, Irvine, Caleb M. S., Islam, Sheikh Mohammed Shariful, Islam, Nazrul, Jacobsen, Kathryn H., Jaenisch, Thomas, Jahanmehr, Nader, Jakovljevic, Mihajlo B., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jin, Ye, John, Denny, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Karthikeyan, Ganesan, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J., Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Ketema, Ezra Belay, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Kibret, Getiye Dejenu, Kieling, Christian, Kim, Yun Jin, Kim, Cho-il, Kim, Daniel, Kim, Pauline, Kim, Sungroul, Kimokoti, Ruth W., Kinfu, Yohannes, Kishawi, Sami, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kuipers, Ernst J., Kulikoff, Xie Rachel, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael, Lachat, Carl, Lagat, Abraham K., Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C., Larson, Heidi J., Larsson, Anders, Laryea, Dennis Odai, Lavados, Pablo M., Laxmaiah, Avula, Lee, Paul H., Leigh, James, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liao, Yu, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Lipshultz, Steven E.., Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D., Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lunevicius, Raimundas, Lyons, Ronan A., Ma, Stefan, Macarayan, Erlyn RachelleKing, Machado, Isis Eloah, Mackay, Mark T., Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Marczak, Laurie B., Marks, Guy B., Martin, Elena Alvarez, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Massano, João, Maulik, Pallab K., Mayosi, Bongani M., Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen Theodore, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehndiratta, Man Mohan, Mehta, Kala M., Meier, Toni, Mekonnen, Tefera Chane, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Menon, Geetha R., Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Tuomo J., Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Mikesell, Joseph, Miller, Ted R., Mills, Edward J., Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B. 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S., Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rahman, Mahfuzar, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Rana, Saleem M., Ranabhat, Chhabi Lal, Rao, Paturi Vishnupriya, Rawaf, Salman, Ray, Sarah E., Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C., Remuzzi, Giuseppe, Renzaho, Andre M. 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I., Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadese, Fentaw, Tandon, Nikhil, Tanne, David, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Cheru Leshargie, Tesssema, Belay, Theis, Andrew, Thomas, Nihal, Thompson, Alex H., Thomson, Alan J., Thrift, Amanda G., Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Fotis, Tortajada, Miguel, Tran, Bach Xuan, Truelsen, Thomas, Trujillo, Ulises, Tsilimparis, Nikolaos, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Undurraga, Eduardo A., Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, van Boven, Job F. M., Varakin, Yuri Y., Varughese, Santosh, Vasankari, Tommi, Vasconcelos, Ana Maria Nogales, Velasquez, Ilais Moreno, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S., Vishnu, Abhishek, Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Waid, Jillian L., Wakayo, Tolassa, Wang, Haidong, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wesana, Joshua, Wijeratne, Tissa, Wilkinson, James D., Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D. A., Workicho, Abdulhalik, Workie, Shimelash Bitew, Xavier, Denis, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yan, Lijing L., Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zeeb, Hajo, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zodpey, Sanjay, Zuhlke, Liesl Joanna, HASH(0x5651ca1ecb00), Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, Wang, Haidong, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M., Abd-Allah, Foad, Abera, Semaw Ferede, Abraha, Haftom Niguse, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M.E., Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adetifa, Ifedayo Morayo O., Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibthiel, Aichour, Miloud Taki Eddine, Aiyar, Sneha, Akanda, Ali Shafqat, Akinyemiju, Tomi F., Akseer, Nadia, Al-Eyadhy, Ayman, Al Lami, Faris Hasan, Alabed, Samer, Alahdab, Fare, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Aldridge, Robert William, Alene, Kefyalew Addi, Alhabib, Samia, Ali, Raghib, Alizadeh-Navaei, Reza, Aljunid, Syed M., Alkaabi, Juma M., Alkerwi, Ala'a, Alla, Françoi, Allam, Shalini D., Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A., Martin, Elena Alvarez, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ameh, Emmanuel A., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Atey, Tesfay Mehari, Atre, Sachin R., Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Balalla, Shivanthi, Barac, Aleksandra, Barber, Ryan M., Barboza, Miguel A., Barker-Collo, Suzanne L., Bärnighausen, Till, Barquera, Simon, Barregard, Lar, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bennett, James R., Bensenor, Isabela M., Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Bikbov, Bori, Birungi, Charle, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Bjerregaard, Peter, Blosser, Christopher D., Boneya, Dube Jara, Boufous, Soufiane, Bourne, Rupert R.A., Brazinova, Alexandra, Breitborde, Nicholas J.K., Brenner, Hermann, Brugha, Traolach S., Bukhman, Gene, Bulto, Lemma Negesa Bulto, Bumgarner, Blair Randal, Burch, Michael, Butt, Zahid A., Cahill, Leah E., Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael Ricardo, Car, Josip, Car, Mate, Cárdenas, Rosario, Carpenter, David O., Carrero, Juan Jesu, Carter, Austin, Castañeda-Orjuela, Carlos A., Castillo Rivas, Jacqueline, Castro, Franz F., Castro, Ruben Estanislao, Catalá-López, Ferrán, Chen, Honglei, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A., Choi, Jee-Young Jasmine, Christensen, Hanne, Christopher, Devasahayam Jesuda, Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Colquhoun, Samantha M., Coresh, Josef, Criqui, Michael H., Cromwell, Elizabeth A., Crump, John A., Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I., Das Neves, José, Davey, Gail, Davitoiu, Dragos V., Davletov, Kairat, De Courten, Barbora, De Leo, Diego, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C., Dey, Subhojit, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Ding, Eric L., Dixit, Priyanka, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Donnelly, Christl Ann, Dos Santos, Kadine Priscila Bender, Douwes-Schultz, Dirk, Driscoll, Tim R., Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Dwivedi, Laxmi Kant, Ebrahimi, Hedyeh, El Bcheraoui, Charbel, Ellingsen, Christian Lycke, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshetie, Setegn, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Faro, André, Farvid, Maryam S., Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Fernandes, João C., Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Foigt, Nataliya, Foreman, Kyle J., Frank, Tahvi, Franklin, Richard C., Fraser, Maya, Friedman, Joseph, Frostad, Joseph J., Fullman, Nancy, Fürst, Thoma, Furtado, Joao M., Futran, Neal D., Gakidou, Emmanuela, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Garcia-Basteiro, Alberto L., Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebrekidan, Kahsu Gebrekirsto, Gebremichael, Mengistu Welday, Gelaye, Amha Admasie, Geleijnse, Johanna M., Gemechu, Bikila Lencha, Gemechu, Kasiye Shiferaw, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W., Gibney, Katherine B., Gill, Paramjit Singh, Gillum, Richard F., Giref, Ababi Zergaw, Girma, Bedilu Weji, Giussani, Giorgia, Goenka, Shifalika, Gomez, Beatriz, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra Carvalho, Graetz, Nichola, Gugnani, Harish Chander, Gupta, Prakash C., Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A., Hafezi-Nejad, Nima, Haghparast Bidgoli, Hassan, Hakuzimana, Alex, Halasa, Yara A., Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hammami, Mouhanad, Hancock, Jamie, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Hareri, Habtamu Abera, Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmu, Hay, Roderick J., Hay, Simon I., He, Fei, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hilawe, Esayas Haregot, Hoek, Hans W., Horita, Nobuyuki, Hosgood, H. Dean, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, Hsiang, Huang, John J., Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ileanu, Bogdan Vasile, Inoue, Manami, Irenso, Asnake Ararsa, Irvine, Caleb M.S., Islam, Nazrul, Jacobsen, Kathryn H., Jaenisch, Thoma, Jahanmehr, Nader, Jakovljevic, Mihajlo B., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jin, Ye, John, Denny, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Karthikeyan, Ganesan, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J., Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Ketema, Ezra Belay, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Kibret, Getiye Dejenu, Kieling, Christian, Kim, Cho-Il, Kim, Daniel, Kim, Pauline, Kim, Sungroul, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohanne, Kishawi, Sami, Kissimova-Skarbek, Katarzyna A., Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuipers, Ernst J., Kulikoff, Xie Rachel, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael, Lachat, Carl, Lagat, Abraham K., Lager, Anton Carl Jona, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C., Larson, Heidi J., Larsson, Ander, Laryea, Dennis Odai, Lavados, Pablo M., Laxmaiah, Avula, Lee, Paul H., Leigh, Jame, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liao, Yu, Liben, Misgan Legesse, Lim, Stephen S., Linn, Shai, Lipshultz, Steven E., Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lunevicius, Raimunda, Lyons, Ronan A., Ma, Stefan, Macarayan, Erlyn Rachelle King, Machado, Isis Eloah, Mackay, Mark T., Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlo, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Marczak, Laurie B., Marks, Guy B., Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Massano, João, Maulik, Pallab K., Mayosi, Bongani M., Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen Theodore, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehndiratta, Man Mohan, Mehta, Kala M., Meier, Toni, Mekonnen, Tefera Chane, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Menon, Geetha R., Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Atte, Meretoja, Tuomo J., Mezgebe, Haftay Berhane, Micha, Renata, Mikesell, Joseph, Miller, Ted R., Mills, Edward J., Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Kedir Endri, Mohammed, Shafiu, Mohan, Murali B.V., Mohanty, Sanjay K., Mokdad, Ali H., Molla Assaye, Ashagre, Mollenkopf, Sarah K., Molokhia, Mariam, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Moreno Velasquez, Ilai, Mori, Rintaro, Morrison, Shane D., Mruts, Kalayu Birhane, Mueller, Ulrich O., Mullany, Erin, Muller, Kate, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Sriniva, Musa, Kamarul Imran, Nachega, Jean B., Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naidoo, Kovin S., Nanda, Lipika, Nangia, Vinay, Nascimento, Bruno Ramo, Natarajan, Gopalakrishnan, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Grant, Nguyen, Quyen Le, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nisar, Muhammad Imran, Nomura, Marika, Nong, Vuong Minh, Norheim, Ole F., Norrving, Bo, Noubiap, Jean Jacques N., Nyakarahuka, Luke, Obermeyer, Carla Makhlouf, O'Donnell, Martin J., Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oren, Eyal, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Ota, Erika, Owolabi, Mayowa O., Oyekale, Abayomi Samuel, Mahesh, P.A., Pacella, Rosana E., Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Park, Eun-Kee, Parsaeian, Mahboubeh, Patel, Teja, Patten, Scott B., Patton, George C., Paudel, Deepak, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie Beth, Petri, William Arthur, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B., Pigott, David M., Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J., Poulton, Richie G., Pourmalek, Farshad, Prasad, Narayan, Purwar, Manorama, Qorbani, Mostafa, Rabiee, Rynaz H.S., Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Rana, Saleem M., Ranabhat, Chhabi Lal, Rao, Paturi Vishnupriya, Rawaf, Salman, Ray, Sarah E., Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C., Remuzzi, Giuseppe, Renzaho, Andre M.N.N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L., Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S., Sadat, Nafi, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salama, Joseph, Salamati, Payman, Salomon, Joshua A., Salvi, Sundeep Santosh, Samy, Abdallah M., Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolore, Santos, Itamar S., Santric Milicevic, Milena M., Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I., Schmidt, Maria Inê, Schneider, Ione J.C., Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Seedat, Soraya, Seid, Abdulbasit Musa, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Islam, Sheikh Mohammed Shariful, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shen, Jiabin, Shetty, Balakrishna P., Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga Dora, Silberberg, Donald H., Silpakit, Nari, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A., Singh, Prashant Kumar, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Sligar, Amber, Smith, David L., Sobaih, Badr H.A., Sobngwi, Eugene, Soneji, Samir, Soriano, Joan B., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J., Steiner, Caitlyn, Stöckl, Heidi, Stokes, Mark Andrew, Strong, Mark, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F., Sur, Patrick J., Swaminathan, Soumya, Sykes, Bryan L., Szoeke, Cassandra E.I., Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadese, Fentaw, Tandon, Nikhil, Tanne, David, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Temam Shifa, Girma, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Cheru Leshargie, Tesssema, Belay, Theis, Andrew, Thomas, Nihal, Thompson, Alex H., Thomson, Alan J., Thrift, Amanda G., Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Tortajada, Miguel, Tran, Bach Xuan, Truelsen, Thoma, Trujillo, Ulise, Tsilimparis, Nikolao, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefano, Ukwaja, Kingsley Nnanna, Undurraga, Eduardo A., Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, Van Boven, Job F.M., Varakin, Yuri Y., Varughese, Santosh, Vasankari, Tommi, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S., Vishnu, Abhishek, Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Waid, Jillian L., Wakayo, Tolassa, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wesana, Joshua, Wijeratne, Tissa, Wilkinson, James D., Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D.A., Workicho, Abdulhalik, Workie, Shimelash Bitew, Xavier, Deni, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yan, Lijing L., Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zeeb, Hajo, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Lopez, Alan D., Murray, Christopher J.L., Wang, H, Abajobir, A, Abate, K, Abbafati, C, Abbas, K, Abd-Allah, F, Abera, S, Abraha, H, Abu-Raddad, L, Abu-Rmeileh, N, Adedeji, I, Adedoyin, R, Adetifa, I, Adetokunboh, O, Afshin, A, Aggarwal, R, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Aiyar, S, Akanda, A, Akinyemiju, T, Akseer, N, Al-Eyadhy, A, Al Lami, F, Alabed, S, Alahdab, F, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Aldridge, R, Alene, K, Alhabib, S, Ali, R, Alizadeh-Navaei, R, Aljunid, S, Alkaabi, J, Alkerwi, A, Alla, F, Allam, S, Allebeck, P, Al-Raddadi, R, Alsharif, U, Altirkawi, K, Martin, E, Alvis-Guzman, N, Amare, A, Ameh, E, Amini, E, Ammar, W, Amoako, Y, Anber, N, Andrei, C, Androudi, S, Ansari, H, Ansha, M, Antonio, C, Anwari, P, Ärnlöv, J, Arora, M, Artaman, A, Aryal, K, Asayesh, H, Asgedom, S, Asghar, R, Assadi, R, Atey, T, Atre, S, Avila-Burgos, L, Avokpaho, E, Awasthi, A, Ayala Quintanilla, B, Babalola, T, Bacha, U, Badawi, A, Balakrishnan, K, Balalla, S, Barac, A, Barber, R, Barboza, M, Barker-Collo, S, Bärnighausen, T, Barquera, S, Barregard, L, Barrero, L, Baune, B, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bekele, B, Bell, M, Bello, A, Bennett, D, Bennett, J, Bensenor, I, Benson, J, Berhane, A, Berhe, D, Bernabé, E, Beuran, M, Beyene, A, Bhala, N, Bhansali, A, Bhaumik, S, Bhutta, Z, Bikbov, B, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, H, Bjerregaard, P, Blosser, C, Boneya, D, Boufous, S, Bourne, R, Brazinova, A, Breitborde, N, Brenner, H, Brugha, T, Bukhman, G, Bulto, L, Bumgarner, B, Burch, M, Butt, Z, Cahill, L, Cahuana-Hurtado, L, Campos-Nonato, I, Car, J, Car, M, Cárdenas, R, Carpenter, D, Carrero, J, Carter, A, Castañeda-Orjuela, C, Castillo Rivas, J, Castro, F, Castro, R, Catalá-López, F, Chen, H, Chiang, P, Chibalabala, M, Chisumpa, V, Chitheer, A, Choi, J, Christensen, H, Christopher, D, Ciobanu, L, Cirillo, M, Cohen, A, Colquhoun, S, Coresh, J, Criqui, M, Cromwell, E, Crump, J, Dandona, L, Dandona, R, Dargan, P, Das Neves, J, Davey, G, Davitoiu, D, Davletov, K, De Courten, B, De Leo, D, Degenhardt, L, Deiparine, S, Dellavalle, R, Deribe, K, Deribew, A, Des Jarlais, D, Dey, S, Dharmaratne, S, Dherani, M, Diaz-Torné, C, Ding, E, Dixit, P, Djalalinia, S, Do, H, Doku, D, Donnelly, C, Dos Santos, K, Douwes-Schultz, D, Driscoll, T, Duan, L, Dubey, M, Duncan, B, Dwivedi, L, Ebrahimi, H, El Bcheraoui, C, Ellingsen, C, Enayati, A, Endries, A, Ermakov, S, Eshetie, S, Eshrati, B, Eskandarieh, S, Esteghamati, A, Estep, K, Fanuel, F, Faro, A, Farvid, M, Farzadfar, F, Feigin, V, Fereshtehnejad, S, Fernandes, J, Feyissa, T, Filip, I, Fischer, F, Foigt, N, Foreman, K, Frank, T, Franklin, R, Fraser, M, Friedman, J, Frostad, J, Fullman, N, Fürst, T, Furtado, J, Futran, N, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gankpé, F, Garcia-Basteiro, A, Gebregergs, G, Gebrehiwot, T, Gebrekidan, K, Gebremichael, M, Gelaye, A, Geleijnse, J, Gemechu, B, Gemechu, K, Genova-Maleras, R, Gesesew, H, Gething, P, Gibney, K, Gill, P, Gillum, R, Giref, A, Girma, B, Giussani, G, Goenka, S, Gomez, B, Gona, P, Gopalani, S, Goulart, A, Graetz, N, Gugnani, H, Gupta, P, Gupta, R, Gupta, T, Gupta, V, Haagsma, J, Hafezi-Nejad, N, Haghparast Bidgoli, H, Hakuzimana, A, Halasa, Y, Hamadeh, R, Hambisa, M, Hamidi, S, Hammami, M, Hancock, J, Handal, A, Hankey, G, Hao, Y, Harb, H, Hareri, H, Harikrishnan, S, Haro, J, Hassanvand, M, Havmoeller, R, Hay, R, Hay, S, He, F, Heredia-Pi, I, Herteliu, C, Hilawe, E, Hoek, H, Horita, N, Hosgood, H, Hostiuc, S, Hotez, P, Hoy, D, Hsairi, M, Htet, A, Hu, G, Huang, H, Huang, J, Iburg, K, Igumbor, E, Ileanu, B, Inoue, M, Irenso, A, Irvine, C, Islam, N, Jacobsen, K, Jaenisch, T, Jahanmehr, N, Jakovljevic, M, Javanbakht, M, Jayatilleke, A, Jeemon, P, Jensen, P, Jha, V, Jin, Y, John, D, John, O, Johnson, S, Jonas, J, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, C, Karimi, S, Karthikeyan, G, Kasaeian, A, Kassaw, N, Kassebaum, N, Kastor, A, Katikireddi, S, Kaul, A, Kawakami, N, Kazanjan, K, Keiyoro, P, Kelbore, S, Kemp, A, Kengne, A, Keren, A, Kereselidze, M, Kesavachandran, C, Ketema, E, Khader, Y, Khalil, I, Khan, E, Khan, G, Khang, Y, Khera, S, Khoja, A, Khosravi, M, Kibret, G, Kieling, C, Kim, C, Kim, D, Kim, P, Kim, S, Kim, Y, Kimokoti, R, Kinfu, Y, Kishawi, S, Kissimova-Skarbek, K, Kissoon, N, Kivimaki, M, Knudsen, A, Kokubo, Y, Kopec, J, Kosen, S, Koul, P, Koyanagi, A, Kravchenko, M, Krohn, K, Kuate Defo, B, Kucuk Bicer, B, Kuipers, E, Kulikoff, X, Kulkarni, V, Kumar, G, Kumar, P, Kumsa, F, Kutz, M, Lachat, C, Lagat, A, Lager, A, Lal, D, Lalloo, R, Lambert, N, Lan, Q, Van Lansingh, C, Larson, H, Larsson, A, Laryea, D, Lavados, P, Laxmaiah, A, Lee, P, Leigh, J, Leung, J, Leung, R, Levi, M, Li, Y, Liao, Y, Liben, M, Lim, S, Linn, S, Lipshultz, S, Liu, S, Lodha, R, Logroscino, G, Lorch, S, Lorkowski, S, Lotufo, P, Lozano, R, Lunevicius, R, Lyons, R, Ma, S, Macarayan, E, Machado, I, Mackay, M, Magdy Abd El Razek, M, Magis-Rodriguez, C, Mahdavi, M, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malhotra, R, Malta, D, Mantovani, L, Manyazewal, T, Mapoma, C, Marczak, L, Marks, G, Martinez-Raga, J, Martins-Melo, F, Massano, J, Maulik, P, Mayosi, B, Mazidi, M, Mcalinden, C, Mcgarvey, S, Mcgrath, J, Mckee, M, Mehata, S, Mehndiratta, M, Mehta, K, Meier, T, Mekonnen, T, Meles, K, Memiah, P, Memish, Z, Mendoza, W, Mengesha, M, Mengistie, M, Mengistu, D, Menon, G, Menota, B, Mensah, G, Meretoja, A, Meretoja, T, Mezgebe, H, Micha, R, Mikesell, J, Miller, T, Mills, E, Minnig, S, Mirarefin, M, Mirrakhimov, E, Misganaw, A, Mishra, S, Mohammad, K, Mohammadi, A, Mohammed, K, Mohammed, S, Mohan, M, Mohanty, S, Mokdad, A, Molla Assaye, A, Mollenkopf, S, Molokhia, M, Monasta, L, Montañez Hernandez, J, Montico, M, Mooney, M, Moore, A, Moradi-Lakeh, M, Moraga, P, Morawska, L, Moreno Velasquez, I, Mori, R, Morrison, S, Mruts, K, Mueller, U, Mullany, E, Muller, K, Murthy, G, Murthy, S, Musa, K, Nachega, J, Nagata, C, Nagel, G, Naghavi, M, Naidoo, K, Nanda, L, Nangia, V, Nascimento, B, Natarajan, G, Negoi, I, Nguyen, C, Nguyen, G, Nguyen, Q, Nguyen, T, Ningrum, D, Nisar, M, Nomura, M, Nong, V, Norheim, O, Norrving, B, Noubiap, J, Nyakarahuka, L, Obermeyer, C, O'Donnell, M, Ogbo, F, Oh, I, Okoro, A, Oladimeji, O, Olagunju, A, Olusanya, B, Olusanya, J, Oren, E, Ortiz, A, Osgood-Zimmerman, A, Ota, E, Owolabi, M, Oyekale, A, Mahesh, P, Pacella, R, Pakhale, S, Pana, A, Panda, B, Panda-Jonas, S, Park, E, Parsaeian, M, Patel, T, Patten, S, Patton, G, Paudel, D, Pereira, D, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, C, Petri, W, Petzold, M, Phillips, M, Piel, F, Pigott, D, Pishgar, F, Plass, D, Polinder, S, Popova, S, Postma, M, Poulton, R, Pourmalek, F, Prasad, N, Purwar, M, Qorbani, M, Rabiee, R, Radfar, A, Rafay, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, S, Rai, R, Rajsic, S, Ram, U, Rana, S, Ranabhat, C, Rao, P, Rawaf, S, Ray, S, Rego, M, Rehm, J, Reiner, R, Remuzzi, G, Renzaho, A, Resnikoff, S, Rezaei, S, Rezai, M, Ribeiro, A, Rokni, M, Ronfani, L, Roshandel, G, Roth, G, Rothenbacher, D, Roy, A, Rubagotti, E, Ruhago, G, Saadat, S, Sabde, Y, Sachdev, P, Sadat, N, Safdarian, M, Safi, S, Safiri, S, Sagar, R, Sahathevan, R, Sahebkar, A, Sahraian, M, Salama, J, Salamati, P, Salomon, J, Salvi, S, Samy, A, Sanabria, J, Sanchez-Niño, M, Santos, I, Santric Milicevic, M, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Sawhney, M, Saxena, S, Saylan, M, Schmidt, M, Schneider, I, Schutte, A, Schwebel, D, Schwendicke, F, Seedat, S, Seid, A, Sepanlou, S, Servan-Mori, E, Shackelford, K, Shaheen, A, Shahraz, S, Shaikh, M, Shamsipour, M, Shamsizadeh, M, Islam, S, Sharma, J, Sharma, R, She, J, Shen, J, Shetty, B, Shi, P, Shibuya, K, Shigematsu, M, Shiri, R, Shiue, I, Shrime, M, Sigfusdottir, I, Silberberg, D, Silpakit, N, Silva, D, Silva, J, Silveira, D, Sindi, S, Singh, A, Singh, J, Singh, P, Singh, V, Sinha, D, Skiadaresi, E, Sligar, A, Smith, D, Sobaih, B, Sobngwi, E, Soneji, S, Soriano, J, Sreeramareddy, C, Srinivasan, V, Stathopoulou, V, Steel, N, Stein, D, Steiner, C, Stöckl, H, Stokes, M, Strong, M, Sufiyan, M, Suliankatchi, R, Sunguya, B, Sur, P, Swaminathan, S, Sykes, B, Szoeke, C, Tabarés-Seisdedos, R, Tadakamadla, S, Tadese, F, Tandon, N, Tanne, D, Tarajia, M, Tavakkoli, M, Taveira, N, Tehrani-Banihashemi, A, Tekelab, T, Tekle, D, Temam Shifa, G, Temsah, M, Terkawi, A, Tesema, C, Tesssema, B, Theis, A, Thomas, N, Thompson, A, Thomson, A, Thrift, A, Tiruye, T, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Topouzis, F, Tortajada, M, Tran, B, Truelsen, T, Trujillo, U, Tsilimparis, N, Tuem, K, Tuzcu, E, Tyrovolas, S, Ukwaja, K, Undurraga, E, Uthman, O, Uzochukwu, B, Van Boven, J, Varakin, Y, Varughese, S, Vasankari, T, Vasconcelos, A, Venketasubramanian, N, Vidavalur, R, Violante, F, Vishnu, A, Vladimirov, S, Vlassov, V, Vollset, S, Vos, T, Waid, J, Wakayo, T, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, R, Werdecker, A, Wesana, J, Wijeratne, T, Wilkinson, J, Wiysonge, C, Woldeyes, B, Wolfe, C, Workicho, A, Workie, S, Xavier, D, Xu, G, Yaghoubi, M, Yakob, B, Yalew, A, Yan, L, Yano, Y, Yaseri, M, Ye, P, Yimam, H, Yip, P, Yirsaw, B, Yonemoto, N, Yoon, S, Yotebieng, M, Younis, M, Zaidi, Z, El Sayed Zaki, M, Zeeb, H, Zenebe, Z, Zerfu, T, Zhang, A, Zhang, X, Zodpey, S, Zuhlke, L, Lopez, A, Murray, C, Erasmus MC other, Emergency Medicine, Rehabilitation Medicine, Gastroenterology & Hepatology, Public Health, and Neurology
Subjects: Dánarmein, Heilsufar, Dánartíðni, Lífslíkur, Epidemiology, Aldurshópar, ALCOHOL, Börn, Medicine and Health Sciences, Psychology, DEVELOPING-COUNTRIES, Children, Konur, Ungbörn, Tölfræði, Educational status, Aldraðir, Medicine (all), Global burden of disease/statistics and numerical data, DEATH, Men, Þjóðir, Staðtölur, Stillbirth, Sálfræði, World health, SURVIVAL, Income, CHILD-MORTALITY, HEALTH, Burðarmálsdauði, Infants, Age distribution, HIV infections, Child mortality, Alnæmi, Menntun, GBD, Fæðingartíðni, RUSSIAN MORTALITY, Birth rate, Life Expectancy, SDG 3 - Good Health and Well-being, Women, Mortality, METAANALYSIS, Faraldsfræði, HIV, Frjósemi, Fertility, Socioeconomic Factors, Karlar, Barnadauði, Félagshagfræði, Tekjur, Older people, Cause of death/trends, RA
Abstract: Correction in: Group Author(s): GBD 2016 Mortality Collaborators LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017, Background Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15-60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0.5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Sociodemographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Findings Completeness in the registration of deaths increased from 28% in 1970 to a peak of 45% in 2013; completeness was lower after 2013 because of lags in reporting. Total deaths in children younger than 5 years decreased from 1970 to 2016, and slower decreases occurred at ages 5-24 years. By contrast, numbers of adult deaths increased in each 5-year age bracket above the age of 25 years. The distribution of annualised rates of change in age-specific mortality rate differed over the period 2000 to 2016 compared with earlier decades: increasing annualised rates of change were less frequent, although rising annualised rates of change still occurred in some locations, particularly for adolescent and younger adult age groups. Rates of stillbirths and under-5 mortality both decreased globally from 1970. Evidence for global convergence of death rates was mixed; although the absolute difference between age-standardised death rates narrowed between countries at the lowest and highest levels of SDI, the ratio of these death rates-a measure of relative inequality-increased slightly. There was a strong shift between 1970 and 2016 toward higher life expectancy, most noticeably at higher levels of SDI. Among countries with populations greater than 1 million in 2016, life expectancy at birth was highest for women in Japan, at 86.9 years (95% UI 86.7-87.2), and for men in Singapore, at 81.3 years (78.8-83.7) in 2016. Male life expectancy was generally lower than female life expectancy between 1970 and 2016, and the gap between male and female life expectancy increased with progression to higher levels of SDI. Some countries with exceptional health performance in 1990 in terms of the difference in observed to expected life expectancy at birth had slower progress on the same measure in 2016. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled., Bill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.
Published: 2017

7. Child and Adolescent Health From 1990 to 2015: Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2015 Study

Author: Sigfúsdóttir, Inga Dóra, Kassebaum, Nicholas J, Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, and Reykjavik University
Subjects: Dánarmein, Fötlun, Child health/trends, Heilsufar, Lífslíkur, Aldurshópar, Áhættuþættir, Global health, Pregnancy complications/epidemiology, Börn, Cause of death, Adolescents, Heilbrigðisvísindi, Psychology, Unglingar, Meðganga, Children, Tölfræði, Sjúkdómar, Disabled children, Faraldsfræði, Global burden of disease/statistics and numerical data, Adolescent health/trends, Child mortality/trends, Wounds and injuries/epidemiology, Sálfræði, Risk factors, Áverkar
Abstract: Correction: JAMA Pediatr. 2017;171(10):1019. doi:10.1001/jamapediatrics.2017.2732 Correction: JAMA Pediatr. 2017;171(6):602. DOI: 10.1001/jamapediatrics.2017.1667, IMPORTANCE Comprehensive and timely monitoring of disease burden in all age groups, including children and adolescents, is essential for improving population health. OBJECTIVE To quantify and describe levels and trends of mortality and nonfatal health outcomes among children and adolescents from 1990 to 2015 to provide a framework for policy discussion. EVIDENCE REVIEW Cause-specific mortality and nonfatal health outcomes were analyzed for 195 countries and territories by age group, sex, and year from 1990 to 2015 using standardized approaches for data processing and statistical modeling, with subsequent analysis of the findings to describe levels and trends across geography and time among children and adolescents 19 years or younger. A composite indicator of income, education, and fertility was developed (Socio-demographic Index [SDI]) for each geographic unit and year, which evaluates the historical association between SDI and health loss. FINDINGS Global child and adolescent mortality decreased from 14.18 million (95% uncertainty interval [UI], 14.09 million to 14.28 million) deaths in 1990 to 7.26 million (95% UI, 7.14 million to 7.39 million) deaths in 2015, but progress has been unevenly distributed. Countries with a lower SDI had a larger proportion of mortality burden (75%) in 2015 than was the case in 1990 (61%). Most deaths in 2015 occurred in South Asia and sub-Saharan Africa. Global trends were driven by reductions in mortality owing to infectious, nutritional, and neonatal disorders, which in the aggregate led to a relative increase in the importance of noncommunicable diseases and injuries in explaining global disease burden. The absolute burden of disability in children and adolescents increased 4.3%(95% UI, 3.1%-5.6%) from 1990 to 2015, with much of the increase owing to population growth and improved survival for children and adolescents to older ages. Other than infectious conditions, many top causes of disability are associated with long-term sequelae of conditions present at birth (eg, neonatal disorders, congenital birth defects, and hemoglobinopathies) and complications of a variety of infections and nutritional deficiencies. Anemia, developmental intellectual disability, hearing loss, epilepsy, and vision loss are important contributors to childhood disability that can arise from multiple causes. Maternal and reproductive health remains a key cause of disease burden in adolescent females, especially in lower-SDI countries. In low-SDI countries, mortality is the primary driver of health loss for children and adolescents, whereas disability predominates in higher-SDI locations; the specific pattern of epidemiological transition varies across diseases and injuries. CONCLUSIONS AND RELEVANCE Consistent international attention and investment have led to sustained improvements in causes of health loss among children and adolescents in many countries, although progress has been uneven. The persistence of infectious diseases in some countries, coupled with ongoing epidemiologic transition to injuries and noncommunicable diseases, require all countries to carefully evaluate and implement appropriate strategies to maximize the health of their children and adolescents and for the international community to carefully consider which elements of child and adolescent health should be monitored., The Institute for Health Metrics and Evaluation received funding from the Bill & Melinda Gates Foundation
Published: 2017

8. GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome

Author: Eivind Hovig, Alexander J. Nederbragt, Diana Domanska, Ivar Grytten, Marit Holden, Geir Kjetil Sandve, Abdulrahman Azab, Sigve Nakken, Sveinung Gundersen, Ingrid K. Glad, Christin Lund-Andersen, Antonio M. Mora, Johannes Andreas Akse, Daniel Vodak, Odd S. Gabrielsen, Bastian Fromm, Hildur Sif Thorarensen, Morten Johansen, Lars Holden, Mads Bengtsen, Ragnhild Eskeland, Knut Dagestad Rand, Boris Simovski, Finn Drabløs, Egil Ferkingstad, Raunvísindastofnun (HÍ), Science Institute (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, and University of Iceland
Subjects: 0301 basic medicine, Epigenomics, statistical genomics, Computer science, Gagnasöfn, Interface (computing), Datasets as Topic, Health Informatics, Genomics, ENCODE, computer.software_genre, Epigenesis, Genetic, 03 medical and health sciences, Genamengi, Technical Note, genomics, Humans, Statistical genomics, Software system, data integration, genome analysis, Tölfræði, Whole Genome Sequencing, Genome, Human, genomic track, Genomic track, Epigenome, Genome analysis, Data science, Computer Science Applications, Galaxy, 030104 developmental biology, Disparate system, Data integration, computer, Software, Reference genome
Abstract: Background: Recent large-scale undertakings such as ENCODE and Roadmap Epigenomics have generated experimental data mapped to the human reference genome (as genomic tracks) representing a variety of functional elements across a large number of cell types. Despite the high potential value of these publicly available data for a broad variety of investigations, little attention has been given to the analytical methodology necessary for their widespread utilisation. Findings: We here present a first principled treatment of the analysis of collections of genomic tracks. We have developed novel computational and statistical methodology to permit comparative and confirmatory analyses across multiple and disparate data sources. We delineate a set of generic questions that are useful across a broad range of investigations and discuss the implications of choosing different statistical measures and null models. Examples include contrasting analyses across different tissues or diseases. The methodology has been implemented in a comprehensive open-source software system, the GSuite HyperBrowser. To make the functionality accessible to biologists, and to facilitate reproducible analysis, we have also developed a web-based interface providing an expertly guided and customizable way of utilizing the methodology. With this system, many novel biological questions can flexibly be posed and rapidly answered. Conclusions: Through a combination of streamlined data acquisition, interoperable representation of dataset collections, and customizable statistical analysis with guided setup and interpretation, the GSuite HyperBrowser represents a first comprehensive solution for integrative analysis of track collections across the genome and epigenome. The software is available at: https://hyperbrowser.uio.no., This work was supported by the Research Council of Norway (under grant agreements 221580, 218241, and 231217/F20), by the Norwegian Cancer Society (under grant agreements 71220’PR-2006-0433 and 3485238-2013), and by the South-Eastern Norway Regional Health Authority (under grant agreement 2014041).
Published: 2017

9. Difference in learning among students doing penand-paper homework compared to web-based homework in an introductory statistics course

Author: Gunnar Stefansson, Audbjorg Bjornsdottir, Anna Helga Jonsdottir, Raunvísindadeild (HÍ), Faculty of Physical Sciences (UI), Kennslumiðstöð (HA), Centre of Teaching and Learning (UA), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskólinn á Akureyri, University of Akureyri, Háskóli Íslands, and University of Iceland
Subjects: Statistics and Probability, Pen-and-paper homework (PPH), Web-based homework (WBH), Repeated crossover experiments, 01 natural sciences, Education, Learning environments, 010104 statistics & probability, Netið, Heimanám, ComputingMilieux_COMPUTERSANDEDUCATION, Mathematics education, Web application, 0101 mathematics, Grading (education), Statistics education, lcsh:LC8-6691, Tölfræði, lcsh:Special aspects of education, business.industry, 05 social sciences, 050301 education, Pen and paper homework (PPH), Kennsluaðferðir, lcsh:Probabilities. Mathematical statistics, Statistics, Probability and Uncertainty, lcsh:QA273-280, business, Psychology, 0503 education
Abstract: A repeated crossover experiment comparing learning among students handing in pen-and-paper homework (PPH) with students handing in web-based homework (WBH) has been conducted. The system used in the experiments, the tutor-web, has been used to deliver homework problems to thousands of students in mathematics and statistics over several years. Since 2011 experimental changes have been made regarding how the system allocates items to students, how grading is done and the type of feedback provided. The experiment described here was conducted annually from 2011 to 2014. Approximately 100 students in an introductory statistics course participated each year. The main goals were to determine whether the above mentioned changes had an impact on learning as measured by test scores in addition to comparing learning among students doing PPH with students handing in WBH. The difference in learning between students doing WBH compared to PPH, measured by test scores, increased significantly from 2011 to 2014 with an effect size of 0.634. This is a strong indication that the changes made in the tutor-web have a positive impact on learning. Using the data from 2014 a significant difference in learning between WBH and PPH for 2014 was detected with an effect size of 0.416 supporting the use of WBH as a learning tool.
Published: 2017

10. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

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A., O, Manguerra, H, Manhertz, T, Mantilla, A, Mantovani, L, Mapoma, C. C., H, Marczak, L, Martinez-Raga, J., H, Ot, M, F. R., O, Martopullo, I, März, W., O, Ow, M, M. R., A, Ef, M, Mcalinden, C., O, Oz, M, Mcgrath, M, J. J. f., L, Mckee, M., P, Mcnellan, C, Mehata, S., P, Mehndiratta, M. M., P, Mekonnen, T. C., P, Memiah, P., P, Memish, Z. A., P, Pg, M, W., P, Mengistie, M. A., A, Mengistu, D, Mensah, G. A., K, Meretoja, Pi, M, T. J., M, Pj, M, Micha, H, R., P, Millear, A, Miller, T. R., P, Pn, M, E. J., P, Mirarefin, M, Pp, M, E. M., P, Pr, M, Mishra, A, S. R. g., P, Mitchell, P. B., G, Mohammad, K. A., P, Pu, M, A., P, Mohammed, K, Mohammed, Pw, M, S. K., I, Mokdad, A, Mollenkopf, S, Monasta, L., P, Hernandez, J. M., D, Montico, Moradi-Lakeh, M., Q, Moraga, P., Q, Mori, R., Q, Morozoff, C, Morrison, S, Moses, M, Mountjoy-Venning, C, Mruts, K. B., F, Mueller, U. O., Q, Muller, K, Murdoch, M. E., Q, Murthy, G. V. S., A, Pa, M, K. 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A., T, Shamsipour, Shariful, I, S. M., Q, Tv, S, J., T, Sharma, She, J., L, Shi, Shields, C, Shigematsu, Tz, S, Y., U, Shiri, R., M, Shirkoohi, Shirude, S, Shishani, K., U, Shrime, M. G., U, Sibai, A. M., U, Sigfusdottir, I. D., U, Silva, D. A. S., U, J. P., G, Silveira, D. G. A., U, Singh, J. A., T, N. P., U, Sinha, D. N., U, Uj, S, E., U, Ul, S, Na, S, Sligar, E, Smith, A, Smith, D, Sobaih, M, B. H. A., C, Um, S, Uo, S, Sousa, R, T. C. M., U, Sposato, L. A., R, Sreeramareddy, C. T., U, Srinivasan, V, Stanaway, J, Stathopoulou, V., U, Steel, N., U, Ut, S, D. J., M, Uu, S, M. B., H, Steiner, C, Steiner, T. J., F, Uv, S, S., U, Stokes, M. A., Q, Stovner, L. J., U, Ux, S, Subart, B, Sufiyan, M, M. B., P, Suliankatchi, A, R., U, Sunguya, B. F., T, Sur, P, Swaminathan, Sykes, B. L., V, Sylte, D, Tabarés-Seisdedos, Taffere, G, Takala, J. S., V, Vc, T, Tavakkoli, M., V, Taveira, N., V, Vf, T, H. R., B, Tehrani-Banihashemi, Qb, T, T., I, Jl, Temam, S, G., H, Ij, T, A. S., V, Vh, V, Tesfaye, D, Tesssema, B., B, Thamsuwan, O, Thomas, K, Thrift, A, Tiruye, T. Y., F, Tobe-Gai, R., V, Tollanes, M. C., K, Vl, T, Topor-Madry, Vm, T, Vn, T, Tran, B. X., D, Vp, T, Truelsen, C, T., V, Tsoi, D, Tuem, K, Tuzcu, E. M., V, Tyrovolas, S., V, Ukwaja, K. N., V, Undurraga, E. A., V, Uneke, C. J., V, Updike, R, Uthman, O. A., V, Uzochukwu, B. S. C., V, Van, B, J. F. M., F, Varughese, Vasankari, Venkatesh, Venketasubramanian, Vidavalur, R., W, Violante, F. S., W, Vladimirov, S. K., W, Vlassov, V. V., W, Vollset, S, Ke, M, Wadilo, Wakayo, T., A, Wang, Y. -P., W, Weaver, M, Weichenthal, S., W, Weiderpass, E., D, Wg, W, Wi, W, R. G., B, Wj, W, Werdecker, Westerman, Wl, W, H. A. a., D, Gz, W, T., B, Wm, W, C. S. z., W, Wolfe, C. D. A., F, Wo, W, Woolf, R, A. D., W, Workicho, Wq, Wulf, H, Xavier, S, D., W, Xu, G., W, Yadgir, S, Yaghoubi, Wt, Y, B., Q, Yan, L. L., W, Yano, Y., W, Ye, P., N, Yimam, Yip, P., W, Wx, Y, N., W, Yoon, S. -J., N, Yotebieng, M., W, Xa, Y, M. 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J., X, Murray, C, Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, Vos, Theo, Abajobir, Amanuel Alemu, Abbafati, Cristiana, Abbas, Kaja M., Abate, Kalkidan Hassen, Abd-Allah, Foad, Abdulle, Abdishakur M., Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J., Ackerman, Ilana N., Adamu, Abdu Abdullahi, Adetokunboh, Olatunji, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Sanjay Kumar, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fare, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addi, Ali, Raghib, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, Françoi, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Altirkawi, Khalid A., Amare, Azmeraw T., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Andersen, Hjalte H., Antonio, Carl Abelardo T., Anwari, Palwasha, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W., Assadi, Reza, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Atre, Sachin R., Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ba Saleem, Huda Omer, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Banerjee, Amitava, Bannick, Marlena S., Barac, Aleksandra, Barber, Ryan M., Barker-Collo, Suzanne L., Bärnighausen, Till, Barquera, Simon, Barregard, Lar, Barrero, Lope H., Basu, Sanjay, Battista, Bob, Battle, Katherine E., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L., Bennett, Derrick A., Bensenor, Isabela M., Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A., Biadgilign, Sibhatu, Bienhoff, Kelly, Bikbov, Bori, Birungi, Charle, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Boneya, Dube Jara, Boufous, Soufiane, Bourne, Rupert R.A., Brazinova, Alexandra, Brugha, Traolach S., Buchbinder, Rachelle, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R., Butt, Zahid A., Cahuana-Hurtado, Lucero, Cameron, Ewan, Car, Mate, Carabin, Hélène, Carapetis, Jonathan R., Cárdenas, Rosario, Carpenter, David O., Carrero, Juan Jesu, Carter, Austin, Carvalho, Felix, Casey, Daniel C., Caso, Valeria, Castañeda-Orjuela, Carlos A., Castle, Chris D., Catalá-López, Ferrán, Chang, Hsing-Yi, Chang, Jung-Chen, Charlson, Fiona J., Chen, Honglei, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A., Christopher, Devasahayam Jesuda, Ciobanu, Liliana G., Cirillo, Massimo, Colombara, Danny, Cooper, Cyru, Cortesi, Paolo Angelo, Criqui, Michael H., Crump, John A., Dadi, Abel Fekadu, Dalal, Koustuv, Dandona, Lalit, Dandona, Rakhi, Das Neves, José, Davitoiu, Dragos V., De Courten, Barbora, De Leo, Diego, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Deribe, Kebede, Des Jarlais, Don C., Dey, Subhojit, Dharmaratne, Samath D., Dhillon, Preet Kaur, Dicker, Daniel, Ding, Eric L., Djalalinia, Shirin, Do, Huyen Phuc, Dorsey, E. Ray, Dos Santos, Kadine Priscila Bender, Douwes-Schultz, Dirk, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Duncan, Bruce Bartholow, El-Khatib, Ziad Ziad, Ellerstrand, Jerisha, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E., Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Farinha, Carla Sofia E. Sa, Faro, André, Farzadfar, Farshad, Fazeli, Mir Sohail, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, João C., Ferrari, Alize J., Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D., Flor, Luisa Sorio, Foigt, Nataliya, Foreman, Kyle J., Franklin, Richard C., Fullman, Nancy, Fürst, Thoma, Furtado, Joao M., Futran, Neal D., Gakidou, Emmanuela, Ganji, Morsaleh, Garcia-Basteiro, Alberto L., Gebre, Teshome, Gebrehiwot, Tsegaye Tewelde, Geleto, Ayele, Gemechu, Bikila Lencha, Gesesew, Hailay Abrha, Gething, Peter W., Ghajar, Alireza, Gibney, Katherine B., Gill, Paramjit Singh, Gillum, Richard F., Ginawi, Ibrahim Abdelmageem Mohamed, Giref, Ababi Zergay, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W., Gold, Audra L., Goldberg, Ellen M., Gona, Philimon N., Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Goulart, Alessandra Carvalho, Griswold, Max, Gugnani, Harish Chander, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Hareri, Habtamu Abera, Haro, Josep Maria, Harvey, Jame, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmu, Hawley, Caitlin, Hay, Roderick J., Hay, Simon I., Henry, Nathaniel J., Heredia-Pi, Ileana Beatriz, Heydarpour, Pouria, Hoek, Hans W., Hoffman, Howard J., Horita, Nobuyuki, Hosgood, H. Dean, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Htet, Aung Soe, Hu, Guoqing, Huang, Hsiang, Huynh, Chantal, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ikeda, Chad, Irvine, Caleb Mackay Salpeter, Jacobsen, Kathryn H., Jahanmehr, Nader, Jakovljevic, Mihajlo B., Jassal, Simerjot K., Javanbakht, Mehdi, Jayaraman, Sudha P., Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, John, Denny, Johnson, Catherine O., Johnson, Sarah Charlotte, Jonas, Jost B., Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Kan, Haidong, Karam, Nadim E., Karch, André, Karema, Corine Kakizi, Kasaeian, Amir, Kassa, Getachew Mullu, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J., Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Keiyoro, Peter Njenga, Kengne, Andre Pascal, Keren, Andre, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khang, Young-Ho, Khosravi, Ardeshir, Khubchandani, Jagdish, Kieling, Christian, Kim, Daniel, Kim, Pauline, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohanne, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A., Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krishnaswami, Sanjay, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G. Anil, Kumar, Pushpendra, Kumar, Sanjiv, Kyu, Hmwe H., Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Nkurunziza, Lan, Qing, Larsson, Ander, Lavados, Pablo M., Leasher, Janet L., Lee, Jong-Tae, Lee, Paul H., Leigh, Jame, Leshargie, Cheru Tesema, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Li Kappe, Darya, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S., Linn, Shai, Liu, Angela, Liu, Patrick Y., Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, London, Stephanie J., Looker, Katharine J., Lopez, Alan D., Lorkowski, Stefan, Lotufo, Paulo A., Low, Nicola, Lozano, Rafael, Lucas, Timothy C.D., Macarayan, Erlyn Rachelle King, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Mohammed, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A., Manguerra, Helena, Manhertz, Treh, Mantilla, Ana, Mantovani, Lorenzo G., Mapoma, Chabila C., Marczak, Laurie B., Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Mathur, Manu Raj, Mazidi, Mohsen, McAlinden, Colm, McGaughey, Madeline, McGrath, John J., McKee, Martin, McNellan, Claire, Mehata, Suresh, Mehndiratta, Man Mohan, Mekonnen, Tefera Chane, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Mensah, George A., Meretoja, Atte, Meretoja, Tuomo J., Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Miller, Ted R., Mills, Edward J., Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mitchell, Philip B., Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Kedir Endri, Mohammed, Shafiu, Mohanty, Sanjay K., Mokdad, Ali H., Mollenkopf, Sarah K., Monasta, Lorenzo, Hernandez, Julio Montañez, Montico, Marcella, Moradi-Lakeh, Maziar, Moraga, Paula, Mori, Rintaro, Morozoff, Chloe, Morrison, Shane D., Moses, Mark, Mountjoy-Venning, Cliff, Mruts, Kalayu Birhane, Mueller, Ulrich O., Muller, Kate, Murdoch, Michele E., Murthy, Gudlavalleti Venkata Satyanarayana, Musa, Kamarul Imran, Nachega, Jean B., Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nangia, Vinay, Natarajan, Gopalakrishnan, Negasa, Dumessa Edessa, Negoi, Ionut, Negoi, Ruxandra Irina, Newton, Charles R., Ngunjiri, Josephine Wanjiku, Nguyen, Cuong Tat, Nguyen, Grant, Nguyen, Minh, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nolte, Sandra, Nong, Vuong Minh, Norrving, Bo, Noubiap, Jean Jacques N., O'Donnell, Martin J., Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olsen, Helen E., Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Osman, Majdi, Owolabi, Mayowa O., Pa, Mahesh, Pacella, Rosana E., Pana, Adrian, Panda, Basant Kumar, Papachristou, Christina, Park, Eun-Kee, Parry, Charles D., Parsaeian, Mahboubeh, Patten, Scott B., Patton, George C., Paulson, Katherine, Pearce, Neil, Pereira, David M., Perico, Norberto, Pesudovs, Konrad, Peterson, Carrie Beth, Petzold, Max, Phillips, Michael Robert, Pigott, David M., Pillay, Julian David, Pinho, Christine, Plass, Dietrich, Pletcher, Martin A., Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Narayan, Prasad, Noela M., Purcell, Carrie, Qorbani, Mostafa, Quansah, Reginald, Rabiee, Rynaz H.S., Radfar, Amir, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Ranabhat, Chhabi Lal, Rankin, Zane, Rao, Paturi Vishnupriya, Rao, Puja C., Rawaf, Salman, Ray, Sarah E., Reiner, Robert C., Reinig, Nikola, Reitsma, Marissa B., Remuzzi, Giuseppe, Renzaho, Andre M.N., Resnikoff, Serge, Rezaei, Satar, Ribeiro, Antonio L., Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A., Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sadat, Nafi, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Salama, Joseph, Salomon, Joshua A., Salvi, Sundeep Santosh, Samy, Abdallah M., Sanabria, Juan R., Santomauro, Damian, Santos, Itamar S., Santos, João Vasco, Santric Milicevic, Milena M., Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Schmidt, Maria Inê, Schneider, Ione J.C., Schöttker, Ben, Schwebel, David C., Schwendicke, Falk, Seedat, Soraya, Sepanlou, Sadaf G., Servan-Mori, Edson E., Setegn, Tesfaye, Shackelford, Katya Anne, Shaheen, Amira, Shaikh, Masood Ali, Shamsipour, Mansour, Shariful Islam, Sheikh Mohammed, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shi, Peilin, Shields, Chloe, Shigematsu, Mika, Shinohara, Yukito, Shiri, Rahman, Shirkoohi, Reza, Shirude, Shreya, Shishani, Kawkab, Shrime, Mark G., Sibai, Abla Mehio, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singh, Jasvinder A., Singh, Narinder Pal, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Skirbekk, Vegard, Slepak, Erica Leigh, Sligar, Amber, Smith, David L., Smith, Mari, Sobaih, Badr H.A., Sobngwi, Eugene, Sorensen, Reed J.D., Sousa, Tatiane Cristina Morae, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J., Stein, Murray B., Steiner, Caitlyn, Steiner, Timothy J., Steinke, Sabine, Stokes, Mark Andrew, Stovner, Lars Jacob, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Suliankatchi Abdulkader, Rizwan, Sunguya, Bruno F., Sur, Patrick J., Swaminathan, Soumya, Sykes, Bryan L., Sylte, Dillon O., Tabarés-Seisdedos, Rafael, Taffere, Getachew Redae, Takala, Jukka S., Tandon, Nikhil, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R., Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Temam Shifa, Girma, Terkawi, Abdullah Sulieman, Tesfaye, Dawit Jember, Tesssema, Belay, Thamsuwan, Ornwipa, Thomas, Katie E., Thrift, Amanda G., Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tollanes, Mette C., Tonelli, Marcello, Topor-Madry, Roman, Tortajada, Miguel, Touvier, Mathilde, Tran, Bach Xuan, Tripathi, Suryakant, Troeger, Christopher, Truelsen, Thoma, Tsoi, Derrick, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefano, Ukwaja, Kingsley N., Undurraga, Eduardo A., Uneke, Chigozie Jesse, Updike, Rachel, Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, Van Boven, Job F.M., Varughese, Santosh, Vasankari, Tommi, Venkatesh, S., Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S., Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wadilo, Fiseha, Wakayo, Tolassa, Wang, Yuan-Pang, Weaver, Marcia, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A., Wijeratne, Tissa, Wiysonge, Charles Shey, Wolfe, Charles D.A., Woodbrook, Rachel, Woolf, Anthony D., Workicho, Abdulhalik, Wulf Hanson, Sarah, Xavier, Deni, Xu, Gelin, Yadgir, Simon, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L., Yano, Yuichiro, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zhang, Xueying, Zhou, Maigeng, Zipkin, Ben, Zodpey, Sanjay, Zuhlke, Liesl Joanna, and Murray, Christopher J.L.
Subjects: Dánarmein, People with disabilities, Heilsufar, Dánartíðni, Langlífi, Age disdtribution, Diseases, Socioeconomic factors, Population aging, Bakverkir, Heilbrigðisstefna, Population growth, Psychology, Women, Low back pain, Mortality, Health Estimates Reporting, Public health systems, medicine (all), Konur, Tölfræði, Heilsugæsla, Aldraðir, Sjúkdómar, Global burden of disease/statistics and numerical data, Wounds and injuries, Health care, Fatlaðir, Respiratory infections, Men, Þjóðir, Staðtölur, Öndunarfærasjúkdómar, Heilbrigðisþjónusta, Health policy, Lýðfræði, Sálfræði, World health, Áverkar, Karlar, Health service, Dental caries, Félagshagfræði, Mannfjöldi, Older people, Fólksfjölgun, Cause of death/trends, Heilbrigðiskerfi, Tannskemmdir
Abstract: Background As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. Methods We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57.6 million (95% uncertainty interval [UI] 40.8-75.9 million [7.2%, 6.0-8.3]), 45.1 million (29.0-62.8 million [5.6%, 4.0-7.2]), 36.3 million (25.3-50.9 million [4.5%, 3.8-5.3]), 34.7 million (23.0-49.6 million [4.3%, 3.5-5.2]), and 34.1 million (23.5-46.0 million [4.2%, 3.2-5.3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2.7% (95% UI 2.3-3.1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10.4% (95% UI 9.0-11.8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer's disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862-11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018-19 228). Interpretation The decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-todate information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response., Bill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.
Published: 2017

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

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O. e, Androudi, S. cq, Ansari, H. cr, Ansha, M. G. cs, Antonio, C. A. T. ct, Ärnlöv, J. bv, cv Artaman, A. cw, Asayesh, H. cx, Assadi, R. cy, Astatkie, A. cz, Atey, T. M. ag, Atique, S. da, Atnafu, N. T. dc, dd Atre, S. R. de, Avila-Burgos, L. df, Avokpaho, E. F. G. A. dg, Ayala Quintanilla, B. P. di, dj Awasthi, A. dk, Ayele, N. N. dl, Azzopardi, P. dm, dn dr, Ba Saleem, H. O. dt, Bärnighausen, T. du, dz ea, Bacha, U. eb, Badawi, A. an, ec Banerjee, A. ed, Barac, A. eg, Barboza, M. A. ej, ek Barker-Collo, S. L. el, Barrero, L. H. en, Basu, S. eo, Baune, B. T. ch, gr Baye, K. eq, Bayou, Y. T. er, Bazargan-Hejazi, S. es, et Bedi, N. eu, Beghi, E. ev, Béjot, Y. ew, Bello, A. K. ex, Bennett, D. A. bm, Bensenor, I. M. ez, Berhane, A. fa, Bernabé, E. fd, Bernal, O. A. fe, Beyene, A. S. ff, ki Beyene, T. J. eq, fi Bhutta, Z. A. bc, fj Biadgilign, S. fk, Bikbov, B. fl, Birlik, S. M. fm, Birungi, C. ef, Biryukov S. a, Bisanzio, D. bk, Bizuayehu, H. M. fn, Bose, D. fo, Brainin, M. fp, Brauer M. a, fq Brazinova, A. fr, fs Breitborde, N. J. K. fu, Brenner, H. fw, Butt, Z. A. fx, Cárdenas, R. fy, Cahuana-Hurtado, Campos-Nonato, I. R. df, dx Car, J. fz, Carrero, J. J. bw, Casey D. a, Caso, V. ga, Castañeda-Orjuela, C. A. gb, Castillo Rivas, J. gd, ge Catalá-López, F. gf, gg Cecilio, P. gh, Cercy K. a, Charlson F. J. a, j gi, Chen A. Z. a, Chew A. a, Chibalabala, M. gj, Chibueze, C. E. gk, Chisumpa, V. H. gl, gm Chitheer, A. A. gn, Chowdhury, R. go, Christensen, H. gp, Christopher, D. J. gq, Ciobanu, L. G. ci, Cirillo, M. gs, Coggeshall M. S. a, Cooper, L. T. gt, Cortinovis, M. fl, Crump, J. A. gu, Dalal, K. gv, Danawi, H. gw, Dandona L. a, gy Dandona, R. a gy, Dargan, P. I. gz, Das Neves, J. ha, hb Davey, G. hd, Davitoiu, D. V. he, Davletov, K. hf, De Leo, D. hh, Del Gobbo, L. C. eo, Del Pozo-Cruz, B. em, Dellavalle, R. P. hi, Deribe, K. ep, hj Deribew, A. al, Des Jarlais, D. C. hk, hl Dey, S. hm, Dharmaratne, S. D. hn, Dicker D. a, Ding, E. L. dx, Dokova, K. ho, Dorsey, E. R. hp, Doyle, K. E. hq, hr Dubey, M. hs, Ehrenkranz R. a, Ellingsen, C. L. hu, Elyazar, I. hv, Enayati, A. hw, Ermakov, S. P. hx, hy Eshrati, B. hz, ia Esteghamati, A. t wz, Estep K. a, Fürst T. h, ic ie, Faghmous I. D. A. i, Fanuel, F. B. B. cz, if Faraon, E. J. A. cu, ig Farid, T. A. ih, Farinha, C. S. E. S. ii, ij Faro, A. ik, Farvid, M. S. dw, il Farzadfar, F. u xa, Feigin, V. L. im, Feigl, A. B. du, Fereshtehnejad, S. -M. bx, Fernandes, J. G. in, J. C. io, Feyissa, T. R. ip, Fischer, F. iq, Fitzmaurice C. a, b ir, Fleming T. D. a, Foigt, N. is, Foreman K. J. a, ib Forouzanfar, M. H. it, Franklin, R. C. iu, Frostad J. a, Ghiwot T. T. n, Gakidou E. a, Gambashidze, K. iv, Gamkrelidze, A. iv, Gao, W. ix, Garcia-Basteiro, A. L. iy, iz Gebre, T. ja, Gebremedhin A. T. n, jb Gebremichael, M. W. ag, Gebru, A. A. ag, jc Gelaye, A. A. jd, Geleijnse, J. M. fh, Genova-Maleras, R. je, jf Gibney, K. B. jg, Giref, A. Z. eq, Gishu, M. D. fg, jh Giussani, G. ev, Godwin W. W. a, Gold A. a, Goldberg E. M. a, Gona, P. N. ji, Goodridge, A. jj, Gopalani, S. V. jk, Goto, A. jl, Graetz N. a, Greaves, F. ib, jm Griswold, M. a Guban, P. I. jn, Gugnani, H. C. jo, Gupta, P. C. jp, R. jq, R. jr, T. js, V. jt, Habtewold, T. D. fb, jv Hafezi-Nejad, N. t xb, Haile, D. eq, Hailu, A. D. ep, jx Hailu, G. B. ag, jc Hakuzimana, A. jz, ka Hamadeh, R. R. kb, Hambisa, M. T. ff, Hamidi, S. kc, Hammami, M. kd, Hankey, G. J. ke, kf kg, Hao, Y. kh, Harb, H. L. cl, Hareri, H. A. eq, Haro, J. M. mw, Hassanvand M. S. w, xc Havmoeller, R. ca, Hay, R. J. fd, kk Hay, S. I. a bl, Hendrie, D. kl, Heredia-Pi, I. B. df, Hoek, H. W. ju, km Horino, M. ko, Horita, N. kp, Hosgood, H. D. kq, Htet, A. S. kr, ks Hu, G. kt, Huang, H. ku, J. J. kv, Huntley B. M. a, Huynh C. a, Iburg, K. M. kw, Ileanu, B. V. kx, Innos, K. ky, Irenso, A. A. fg, kj Jahanmehr, N. kz, Jakovljevic, M. B. lb, James, P. dv, S. L. lc, Javanbakht, M. ld, Jayaraman, S. P. le, Jayatilleke, A. U. lf, lg Jeemon, P. gx, lh li, nh Jha, V. bm, lk John, D. ll, Johnson C. a, Johnson S. C. a, Jonas, J. B. lm, Juel, K. ln, Kabir, Z. lo, Kalkonde, Y. lp, Kamal, R. lq, Kan, H. ls, Karch, A. lt, lu Karema, C. K. id, lv Karimi, S. M. lw, Kasaeian A. t, y xd, Kassebaum N. J. a, lx Kastor, A. hs, Katikireddi, S. V. ly, Kazanjan, Keiyoro, P. N. lz, ma Kemmer, L. a Kemp, A. H. mc, me Kengne, A. P. jz, mf Kerbo, A. A. if, Kereselidze, M. iv, Kesavachandran, C. N. lq, Khader, Y. S. mg, Khalil I. a, Khan, A. R. ih, E. A. mh, G. mi, Khang, Y. -H. mj, Khoja, A. T. A. ml, Khonelidze, I. iv, Khubchandani, J. mm, Kibret, G. D. ay, Kim, D. mn, Kim P. a, Y. J. mo, Kimokoti, R. W. mp, Kinfu, Y. mq, Kissoon, N. fq, Kivipelto, M. by, Kokubo, Y. mr, Kolk, A. ms, Kolte, D. mt, Kopec, J. A. fq, Kosen, S. mu, Koul, P. A. mv, Koyanagi, A. mw, Kravchenko, M. mx, Krishnaswami, S. my, Krohn K. J. a, Kuate Defo, B. mz, Kucuk Bicer, B. nb, Kuipers, E. J. nd, Kulkarni, V. S. ne, Kumar, G. A. lj, Kumsa, F. A. fg, kj Kutz, M. a Kyu, H. H. a Lager, A. C. J. nf, Lal, A. ng, D. K. ni, Lalloo R. k, Lallukka, T. nj, Lan, Q. nl, Langan S. M. i, Lansingh, V. C. nm, nn Larson, H. J. a h, Larsson, A. no, Laryea, D. O. cp, Latif, A. A. np, Lawrynowicz, A. E. B. nq, Leasher, J. L. nr, Leigh, J. bf, Leinsalu, M. ky, nt Leshargie, C. T. ay, Leung J. e, j Leung, R. nu, Levi, M. nv, Liang, X. nw, Lim S. S. a, Lind M. a, Linn, S. nx, Lipshultz, S. E. ny, nz Liu, P. a Liu, Y. oa, L. -T. ob, oc Logroscino, G. od, Lopez, A. D. do, Lorch, S. A. oe, Lotufo, P. A. ez, Lozano, R. df, Lunevicius, R. of, og Lyons, R. A. mb, Macarayan, E. R. K. kv, Mackay, M. T. oh, Magdy Abd El Razek, H. oi, M. oj, Mahdavi, M. ok, ol Majeed, A. ib, Malekzadeh R. z, xe Malta, D. C. on, Mantovani LG, Manyazewal, T. op, Mapoma, C. C. gl, Marcenes, W. oq, Marks, G. B. md, ns Marquez, N. a Martinez-Raga, J. or, os Marzan, M. B. ot, Massano, J. hc, ou Mathur, M. R. ni, Maulik, P. K. ov, Mazidi, M. ow, McAlinden, C. ox, oy McGrath, J. J. l McNellan, C. a Meaney, P. A. oz, pa Mehari, A. pb, Mehndiratta, M. M. pc, Meier, T. pd, Mekonnen, A. B. bf, bj Meles, K. G. ad, Memish, Z. A. pe, pf Mengesha, M. M. ff, Mengiste, D. T. ae, Mengistie M. A. n, Menota, B. G. eq, Mensah, G. A. pg, Mereta S. T. n, Meretoja, A. dp, ph Meretoja, T. J. nk, pi Mezgebe, H. B. ag, Micha, R. pj, Millear A. a, Mills, E. J. pl, Minnig S. a, Mirarefin M. a, pm Mirrakhimov, E. M. pn, po Mock, C. N. c Mohammad, K. A. pp, Mohammed, S. ea, pq Mohanty, S. K. hs, Mokdad A. H. a, Mola, G. L. D. pr, Molokhia, M. fd, Monasta, L. ps, Montico, M. ps, Moradi-Lakeh M. a, pt Moraga, P. pz, Morawska, L. pv, pw Mori, R. qa, Moses M. a, Mueller, U. O. qc, Murthy, S. fq, Musa, K. I. qd, Nachega, J. B. qe, qf qg, Nagata, C. qh, Nagel, G. qj, Naghavi M. a, Naheed, A. bh, Naldi, L. qk, Nangia, V. ql, Nascimento, B. R. qm, qn Negoi, I. qo, Neupane, S. P. ks, Newton, C. R. qp, Ng M. a, Ngalesoni, F. N. qq, Ngunjiri, J. W. qr, Nguyen G. a, Ningrum, D. N. A. db, qs Nolte, S. cc, qt rj, Nomura, M. qv, Norheim, O. F. jx, Norrving, B. av, Noubiap, J. J. N. jz, qw Obermeyer, C. M. qx, Ogbo, F. A. qy, I. -H. ra, Okoro, A. rb, Oladimeji, O. rc, rd Olagunju, A. T. ci, Olivares, P. R. re, Olsen H. E. a, Olusanya, B. O. rf, J. O. rf, Opio, J. N. rg, Oren, E. rh, Ortiz, A. ri, Osborne, R. H. rk, Osman, M. dy, rl Owolabi, M. O. rm, rn Mahesh, P. A. ro, Pain A. W. a, Pakhale, S. rp, Palomares Castillo, E. rq, rr Pana, A. kx, Papachristou, C. cd, Parsaeian M. u, v xa, Patel, T. rs, Patton, G. C. dn, Paudel, D. rt, Paul, V. K. aq, Pearce N. i, Pereira, D. M. ru, Perez-Padilla, R. rv, Perez-Ruiz, F. rw, rx Perico, N. Pesudovs, K. ry, Petzold, M. rz, sa Phillips, M. R. oa, sb Pigott, D. M. a Pillay, J. D. sc, Pinho C. a, Polinder, S. nc, Pond, C. D. sd, Prakash, V. se, Purwar, M. sf, Qorbani, M. sg, Quistberg D. A. c, d Radfar, A. sh, Rafay, A. si, sj Rahimi, K. bm, Rahimi-Movaghar, V. aa, xf Rahman, M. sk, Rahman, M. H. U. hs, Rai, R. K. sl, Ram, U. hs, Rana, S. M. si, sj Rankin, Z. a Rao, P. V. sm, sn Rao, P. C. a Rawaf, S. ib, Rego, M. A. S. om, Reitsma M. a, Remuzzi, G. fl, so sp, Renzaho, A. M. N. N. qz, Resnikoff, S. sq, sr Rezaei, S. aw, Rezai, M. S. br, Ribeiro, A. L. qm, Roba, H. S. ff, Rokni, M. B. ac, Ronfani, Roshandel G. z, st xe, Roth G. A. a, Rothenbacher, D. qi, Roy, N. K. su, sv Sachdev, P. S. ss, sw Sackey, B. B. sx, Saeedi, M. Y. sy, Safiri, S. sz, Sagar, R. aq, Sahraian, M. A. ab, xg Saleh, M. M. ta, Salomon, J. A. du, Samy, A. M. tb, Sanabria, J. R. tc, td Sanchez-Niño, M. D. te, Sandar L. a, Santos, I. S. ey, J. V. hc, Santric Milicevic, M. M. eh, ei Sarmiento-Suarez, R. tf, Sartorius, B. tg, ti Satpathy, M. aq, Savic, M. hu, Sawhney, M. tj, Saylan, M. I. tk, Schöttker, B. fv, tl Schutte, A. E. tm, tn Schwebel, D. C. bb, Seedat, S. qf, Seid, A. M. ff, Seifu, C. N. if, Sepanlou S. G. z, xe Serdar, B. to, Servan-Mori, E. E. df, Setegn, T. ck, Shackelford K. A. a, Shaheen, A. tp, Shahraz, S. tq, Shaikh, M. A. tr, Shakh-Nazarova, Shamsipour M. x, Shariful Islam, S. M. bh, Sharma, J. ts, R. tt, She, J. lr, Sheikhbahaei S. t, wz Shen, J. ft, tu Shi, P. pk, Shigematsu, M. tv, tw Shin, M. -J. tx, Shiri, R. nj, Shoman, H. tz, Shrime, M. G. dy, Sibamo, E. L. S. if, Sigfusdottir, I. D. ua, Silva, D. A. S. ub, Silveira, D. G. A. uc, Sindi, S. ca, Singh, J. A. ud, O. P. ue, P. K. uf, V. ug, Sinke, A. H. uh, Sinshaw, A. E. ui, Skirbekk, V. hu, kn Sliwa, K. jy, Smith A. a, Sobngwi, E. uj, uk Soneji, S. ul, Soriano, J. B. um, Sousa, T. C. M. un, Sposato, L. A. uo, Sreeramareddy, C. T. up, Stathopoulou, V. uq, Steel, N. jm, ur Steiner, C. a Steinke, S. us, Stokes, M. A. qu, Stranges, S. bs, Strong, M. ut, Stroumpoulis, K. uu, uv Sturua, L. iv, Sufiyan, M. B. uw, Suliankatchi, R. A. ux, Sun, J. px, py uy, Sur P. a, Swaminathan, S. uz, Sykes, B. L. va, Tabarés-Seisdedos, R. gf, Tabb, K. M. vb, Taffere, G. R. ad, Talongwa, R. T. vc, Tarajia, M. vd, Tavakkoli, M. ve, Taveira, N. vf, vg Teeple, S. a Tegegne, T. K. ay, Tehrani-Banihashemi, A. pu, Tekelab, T. ip, vh Tekle, D. Y. ag, Temam Shifa, G. eq, vi Terkawi, A. S. vj, vk vl, Tesema, A. G. ag, Thakur, J. S. vm, Thomson, A. J. vn, Tillmann, T. ee, Tiruye, T. Y. ay, Tobe-Gai, R. vo, Tonelli, M. vp, Topor-Madry, R. vq, vr Tortajada, M. vs, Troeger C. a, Truelsen, T. vt, Tura, A. K. fg, jv Uchendu, U. S. vu, Ukwaja, K. N. vv, Undurraga, E. A. vw, Uneke, C. J. vx, Uthman, O. A. vy, Van Boven, J. F. M. jv, Van Dingenen, R. vz, Varughese, S. gq, Vasankari, T. wa, Venketasubramanian, N. wb, Violante, F. S. wc, Vladimirov, S. K. wd, Vlassov, V. V. we, Vollset S. E. a, ht jw, Vos T. a, Wagner J. A. a, Wakayo T. n, Waller, S. G. wf, Walson J. L. e, wg Wang, H. a Wang, Y. -P. wh, Watkins D. A. e, jz Weiderpass, E. bz, wi wj, wk Weintraub, R. G. dn, oh Wen, C. -P. iw, Werdecker, A. qb, Wesana, J. wl, wm Westerman, R. qc, wn Whiteford, H. A. a j, gi Wilkinson, J. D. ny, nz Wiysonge, C. S. qf, wo Woldeyes, Wolfe, C. D. A. fc, wp Won, S. mk, Workicho A. n, wq Workie, S. B. if, Wubshet, M. wr, ws Xavier, D. wt, G. wu, Yadav, A. K. hs, Yaghoubi, M. wv, Yakob, B. th, Yan, L. L. ww, Yano, Y. wx, Yaseri, M. la, xi Yimam, H. H. dc, Yip, P. xj, xk Yonemoto, N. xl, Yoon, S. -J. ty, Younis, M. Z. xm, C. xn, xo Zaidi, Z. xp, El Sayed Zaki, M. xq, Zambrana-Torrelio, C. xr, xs Zapata, T. xt, Zenebe, Z. M. ag, Zodpey, Zoeckler L. a, Zuhlke, L. J. xu, Murray C. J. L., Barber, Ryan, Fullman, Nancy, Sorensen, Reed, Thomas, Bollyky, Martin, Mckee, Ellen, Nolte, Amanuel, Alemu, Abajobir, Kalkidan, Hassen, Abate, Cristiana, Abbafati, Kaja, Abba, Foad, Abd Allah, Abdishakur, Abdulle, Ahmed, Abdulahi, Abdurahman, Semaw, Ferede, Abera, Biju, Abraham, Girmatsion, Fisseha, Abreha, Kelemework, Adane, Ademola, Lukman, Adelekan, Ifedayo, Morayo, Adetifa, Ashkan, Afshin, Arnav, Agarwal, Sanjay, Kumar, Agarwal, Sunilkumar, Agarwal, Anurag, Agrawal, Aliasghar, Ahmad, Kiadaliri, Alireza, Ahmadi, Kedir, Yimam, Ahmed, Muktar, Beshir, Ahmed, Rufus, Olusola, Akinyemi, Tomi, F, Akinyemiju, Nadia, Akseer, Ziyad, Al Aly, Khurshid, Alam, Noore, Alam, Sayed, Saidul, Alam, Zewdie, Aderaw, Alemu, Kefyalew, Addi, Alene, Lily, Alexander, Raghib, Ali, Syed, Danish, Ali, Reza, Alizadeh Navaei, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Rajaa, Al Raddadi, Ubai, Alsharif, Khalid, Altirkawi, Elena, Alvarez, Martin, Nelson, Alvis Guzman, Azmeraw, Amare, 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Robert, Dellavalle, Kebede, Deribe, Amare, Deribew, Don, De, Jarlais, Subhojit, Dey, Samath, Dharmaratne, Daniel, Dicker, Eric, Ding, Klara, Dokova, Ray, Dorsey, Kerrie, Doyle, Manisha, Dubey, Rebecca, Ehrenkranz, Christian, Lycke, Ellingsen, Iqbal, Elyazar, Ahmadali, Enayati, Sergey, Petrovich, Ermakov, Babak, Eshrati, Alireza, Esteghamati, Kara, Estep, Thomas, Fürst, Imad, Faghmou, Fanuel, Belayneh, Bekele, Fanuel, Emerito, Jose, Aquino, Faraon, Talha, Farid, Carla, Sofia, Sa, Farinha, Andre, Faro, Maryam, Farvid, Farshad, Farzadfar, Valery, Feigin, Andrea, Feigl, Seyed Mohammad, Fereshtehnejad, Jefferson, Fernande, João, Fernande, Tesfaye, Regassa, Feyissa, Florian, Fischer, Christina, Fitzmaurice, Thomas, Fleming, Nataliya, Foigt, Kyle, Foreman, Mohammad, Forouzanfar, Richard, Franklin, Joseph, Frostad, Tsegaye, Tewelde, G/hiwot, Emmanuela, Gakidou, Ketevan, Gambashidze, Amiran, Gamkrelidze, Wayne, Gao, Alberto, Garcia Basteiro, Teshome, Gebre, Amanuel, Tesfay, Gebremedhin, Mengistu, Welday, Gebremichael, Alemseged, Aregay, Gebru, Amha, Admasie, Gelaye, Johanna, Geleijnse, Ricard, Genova Malera, Katherine, Gibney, Ababi, Zergaw, Giref, Melkamu, Dedefo, Gishu, Giorgia, Giussani, William, Godwin, Audra, Gold, Ellen, Goldberg, Philimon, N, Gona, Amador, Goodridge, Sameer, Vali, Gopalani, Atsushi, Goto, Nicholas, Graetz, Felix, Greave, Max, Griswold, Peter, Imre, Guban, Harish, Chander, Gugnani, Prakash, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gupta, Tesfa, Dejenie, Habtewold, Nima, Hafezi Nejad, Demewoz, Haile, Alemayehu, Desalegne, Hailu, Gessessew, Bugssa, Hailu, Alex, Hakuzimana, Randah, Ribhi, Hamadeh, Mitiku, Teshome, Hambisa, Samer, Hamidi, Mouhanad, Hammami, Graeme, Hankey, Yuantao, Hao, Hilda, Harb, Habtamu, Abera, Hareri, Josep, Maria, Haro, Mohammad, Sadegh, Hassanvand, Rasmus, Havmoeller, Roderick, Hay, Simon, Hay, Delia, Hendrie, Ileana, Beatriz, Heredia, Pi, Hans, Hoek, Masako, Horino, Nobuyuki, Horita, Dean, Hosgood, Aung, 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L, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Taffere, Getachew Redae, Talongwa, Roberto Tchio, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Teeple, Stephanie, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Shifa, Girma Temam, Terkawi, Abdullah Sulieman, Tesema, Azeb Gebresilassie, Thakur, J.S., Thomson, Alan J, Tillmann, Taavi, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Tortajada, Miguel, Troeger, Christopher, Truelsen, Thoma, Tura, Abera Kenay, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uneke, Chigozie Jesse, Uthman, Olalekan A, van Boven, Job F M, Van Dingenen, Rita, Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wagner, Joseph A, Wakayo, Tolassa, Waller, Stephen G, Walson, Judd L, Wang, Haidong, Wang, Yuan-Pang, Watkins, David A, Weiderpass, Elisabete, Weintraub, Robert G, Wen, Chi-Pang, Werdecker, Andrea, Wesana, Joshua, Westerman, Ronny, Whiteford, Harvey A, Wilkinson, James D, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Won, Sungho, Workicho, Abdulhalik, Workie, Shimelash Bitew, Wubshet, Mamo, Xavier, Deni, Xu, Gelin, Yadav, Ajit Kumar, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zambrana-Torrelio, Carlo, Zapata, Toma, Zenebe, Zerihun Menlkalew, Zodpey, Sanjay, Zoeckler, Leo, Zuhlke, Liesl Joanna, and Murray, Christopher J L
Subjects: Dánartíðni, Lífslíkur, Life expectancy, Diseases, Health insurance, Globan Burden of Disease, Healthcare Access, DEVELOPMENT GOALS, Methods, Psychology, LIFE EXPECTANCY, Risk assessment, Public health, Globan Burden of Disease, Injuries, Tölfræði, Sjúkdómar, Statistics, DEATH, Þjóðir, Staðtölur, 11 Medical And Health Sciences, Healthcare access, Health status indicators, Health policy, Global burden of disease, Gæðastjórnun, Sálfræði, COMPARATIVE RISK-ASSESSMENT, Lýðheilsa, Life Sciences & Biomedicine, Standards, UNITED-STATES, Sjúkratryggingar, Medicine, General & Internal, General & Internal Medicine, Heilbrigðisstefna, SYSTEMATIC ANALYSIS, Mortality, Public health systems, medicine (all), Áhættugreining, Science & Technology, Health services accessibility, Staðlar, TRENDS, Heilbrigðisþjónusta, MEDICAL-CARE, AVOIDABLE MORTALITY, Áverkar, Aðferðafræði, Quality of health care, EUROPEAN COUNTRIES, Heilbrigðiskerfi
Abstract: Background National levels of personal health-care access and quality can be approximated by measuring mortality rates from causes that should not be fatal in the presence of effective medical care (ie, amenable mortality). Previous analyses of mortality amenable to health care only focused on high-income countries and faced several methodological challenges. In the present analysis, we use the highly standardised cause of death and risk factor estimates generated through the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015. Methods We mapped the most widely used list of causes amenable to personal health care developed by Nolte and McKee to 32 GBD causes. We accounted for variations in cause of death certification and misclassifications through the extensive data standardisation processes and redistribution algorithms developed for GBD. To isolate the effects of personal health-care access and quality, we risk-standardised cause-specific mortality rates for each geography-year by removing the joint effects of local environmental and behavioural risks, and adding back the global levels of risk exposure as estimated for GBD 2015. We employed principal component analysis to create a single, interpretable summary measure-the Healthcare Quality and Access (HAQ) Index-on a scale of 0 to 100. The HAQ Index showed strong convergence validity as compared with other health-system indicators, including health expenditure per capita (r= 0.88), an index of 11 universal health coverage interventions (r= 0.83), and human resources for health per 1000 (r= 0.77). We used free disposal hull analysis with bootstrapping to produce a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI), a measure of overall development consisting of income per capita, average years of education, and total fertility rates. This frontier allowed us to better quantify the maximum levels of personal health-care access and quality achieved across the development spectrum, and pinpoint geographies where gaps between observed and potential levels have narrowed or widened over time. Findings Between 1990 and 2015, nearly all countries and territories saw their HAQ Index values improve; nonetheless, the difference between the highest and lowest observed HAQ Index was larger in 2015 than in 1990, ranging from 28.6 to 94.6. Of 195 geographies, 167 had statistically significant increases in HAQ Index levels since 1990, with South Korea, Turkey, Peru, China, and the Maldives recording among the largest gains by 2015. Performance on the HAQ Index and individual causes showed distinct patterns by region and level of development, yet substantial heterogeneities emerged for several causes, including cancers in highest-SDI countries; chronic kidney disease, diabetes, diarrhoeal diseases, and lower respiratory infections among middle-SDI countries; and measles and tetanus among lowest-SDI countries. While the global HAQ Index average rose from 40.7 (95% uncertainty interval, 39.0-42.8) in 1990 to 53.7 (52.2-55.4) in 2015, far less progress occurred in narrowing the gap between observed HAQ Index values and maximum levels achieved; at the global level, the difference between the observed and frontier HAQ Index only decreased from 21.2 in 1990 to 20.1 in 2015. If every country and territory had achieved the highest observed HAQ Index by their corresponding level of SDI, the global average would have been 73.8 in 2015. Several countries, particularly in eastern and western sub-Saharan Africa, reached HAQ Index values similar to or beyond their development levels, whereas others, namely in southern sub-Saharan Africa, the Middle East, and south Asia, lagged behind what geographies of similar development attained between 1990 and 2015. Interpretation This novel extension of the GBD Study shows the untapped potential for personal health-care access and quality improvement across the development spectrum. Amid substantive advances in personal health care at the national level, heterogeneous patterns for individual causes in given countries or territories suggest that few places have consistently achieved optimal health-care access and quality across health-system functions and therapeutic areas. This is especially evident in middle-SDI countries, many of which have recently undergone or are currently experiencing epidemiological transitions. The HAQ Index, if paired with other measures of health-systemcharacteristics such as intervention coverage, could provide a robust avenue for tracking progress on universal health coverage and identifying local priorities for strengthening personal health-care quality and access throughout the world., Bill & Melinda Gates Foundation.
Published: 2017

12. Exploring the effects of discarding using the Atlantis ecosystem model for Icelandic waters

Author: Erla Sturludottir, Raunvísindastofnun (HÍ), Science Institute (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, University of Iceland, and European Commission’s Horizon 2020 Research and Innovation Programme
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, haddock, ecosystem model, Vistfræði, Oceanography, 01 natural sciences, Profit (economics), lcsh:Aquaculture. Fisheries. Angling, Ecosystem model, Aquaculture. Fisheries. Angling, Selectivity, Economic impact analysis, eglefino, lcsh:SH1-691, Tölfræði, biology, selectividad, bacalao, Líkanagerð, Brottkast, modelo ecosistémico, language, aguas islandesas, descartes, Atlantis, Icelandic, Vistkerfi, SH1-691, Aquatic Science, Cod, Þorskur, Revenue, Sjávarútvegur, 14. Life underwater, 0105 earth and related environmental sciences, Norður-Atlantshaf, Ýsa, 010604 marine biology & hydrobiology, selectivity, Haddock, cod, Icelandic waters, biology.organism_classification, discards, language.human_language, Fishery, Discards, Environmental science
Abstract: Publisher's version (útgefin grein), Discarding fish has been a part of the fisheries for centuries but it has been very difficult to monitor how much is discarded, especially in areas where it is an illegal activity. In this study the ecological and economic effects of discarding were investigated using the Atlantis model for Icelandic waters. Five different scenarios were compared, using different discarding rates and selectivities. The results showed that a complete stop of discarding fish (cod and haddock) and landing everything instead had little ecological and economic impact. Improved selectivity, which would result in not catching the fish that would be discarded, had great beneficial economic effects. The increase in biomass led to higher landings, which consequently led to higher revenue. Also, the cost decreased with increasing biomass, which increased the profit of the fisheries. None of the five scenarios had great ecological effects but only discarding of cod and haddock, which have low discard rates, were considered in this study., This study received funding from the European Commission’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the Science, Technology, and Society Initiative to Minimize Unwanted Catches in European Fisheries (MINOUW).
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12 results on '"Tölfræði"'

1. The Association between Relative Age Effect, Goals Scored, Shooting Effectiveness and the Player’s Position, and her Team’s Final Classification in International Level Women’s Youth Handball

2. End-to-end model of Icelandic waters using the Atlantis framework: Exploring system dynamics and model reliability

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6. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016

7. Child and Adolescent Health From 1990 to 2015: Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2015 Study

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10. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

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

12. Exploring the effects of discarding using the Atlantis ecosystem model for Icelandic waters

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