Five insights from the Global Burden of Disease Study 2019
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| Author | Abbasi, Mohammad |
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| Available date | 2023-08-28T10:25:25Z |
| Publication Date | 2020-10-23 |
| Publication Name | The Lancet |
| Identifier | http://dx.doi.org/10.1016/S0140-6736(20)31404-5 |
| ISSN | 01406736 |
| Abstract | The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers. |
| Sponsor | L Abreu acknowledges support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil, Finance Code 001 and Conselho Nacional de Desenvolvimento Científico e Tecnológico. A Agrawal acknowledges support from the Wellcome DBT Senior Fellowship IA/CPHS/14/1/501489. S Aljunid acknowledges the Department of Health Policy and Management, Faculty of Public Health, Kuwait University and International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia for the approval and support to participate in this research project. A Badawi acknowledges support from the Public Health Agency of Canada. J Carrero acknowledges support from the Swedish Research Council (2019-01059). F Carvalho acknowledges UID/MULTI/04378/2019 and UID/QUI/50006/2019 support with funding from FCT/MCTES through national funds. A Cohen acknowledges support from the Health Effects Institute, Boston, MA, USA. V Costa acknowledges grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia, IP, under the Norma Transitória DL57/2016/CP1334/CT0006. K Deribe acknowledges a grant from the Wellcome Trust (grant number 201900/Z/16/Z) as part of his International Intermediate Fellowship. M Freitas acknowledges the financial support from the European Union (FEDER funds through COMPETE POCI-01-0145-FEDER-029248) and National Funds (Fundação para a Ciência e Tecnologia) through project PTDC/NAN-MAT/29248/2017. P Hoogar acknowledges Centre for Bio Cultural Studies, Manipal Academy of Higher Education, Manipal and Centre for Holistic Development and Research, Kalaghatagi. B-F Hwang was supported by China Medical University (CMU108-MF-95), Taichung, Taiwan. M Jakovljevic acknowledges the Serbian part of this GBD Project related contribution was co-funded through Grant OI175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. C Kieling is a Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; a Brazilian public funding agency) researcher and a UK Academy of Medical Sciences Newton Advanced Fellow. Y J Kim acknowledges support from the Research Management Centre, Xiamen University Malaysia (XMUMRF/2018-C2/ITCM/0001). K Krishan is supported by a DST PURSE grant and UGC Center of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M Kumar is supported by FIC/NIH K43 TW010716. B Lacey acknowledges support from the National Institute for Health Research Oxford Biomedical Research Centre and the British Heart Foundation Centre of Research Excellence, Oxford. T Lallukka is supported by the Academy of Finland (Grant #319200). I Landires is member of the Sistema Nacional de Investigación, which is supported by the Secretaría Nacional de Ciencia tecnología e Innovación, Panama. S Lorkowski is funded by the German Federal Ministry of Education and Research (nutriCARD, grant agreement number 01EA1808A). J McGrath acknowledges support from the Danish National Research Foundation (Niels Bohr Professorship). W Mendoza acknowledges employment with Population and Development at the United Nations Population Fund, Country Office in Peru, which does not necessarily endorse this study. U Mueller acknowledges funding from the German National Cohort Study BMBF grant # 01ER1801D. S Nomura acknowledges the Ministry of Education, Culture, Sports, Science, and Technology of Japan (18K10082). G Patton is supported by an National Health and Medical Research Council Fellowship. M Phillips acknowledges partial support from the National Natural Science Foundation of China (NSFC, No 81371502 and 81761128031). M Pinheiro acknowledges FCT Fundação para a Ciência e Tecnologia for funding through program DL 57/2016, Norma Transitória. A Raggi, D Sattin, and S Schiavolin acknowledge support by a grant from the Italian Ministry of Health (Ricerca Corrente, Fondazione Istituto Neurologico C Besta, Linea 4 - Outcome Research: dagli Indicatori alle Raccomandazioni Cliniche). D Ribeiro acknowledges support from The Sir Charles Hercus Health Research Fellowship - Health Research Council of New Zealand (18/111). A Ribeiro acknowledges partial support by Conselho Nacional de Desenvolvimento Científico e Tecnológico (310679/2016-8 and IATS: 465518/2014-1) and by Fundação de Amparo à Pesquisa do Estado de Minas Gerais (PPM-00 428-17). P Sachdev acknowledges funding support from NHMRC Australia. A Samy received a fellowship from the Egyptian Fulbright Mission program. M Santric-Milicevic acknowledges the Ministry of Education, Science and Technological Development of the Republic of Serbia (Contract No 175087). S Islam received funding from the National Heart Foundation of Australia and Deakin University. A Sheikh acknowledges Health Data Research UK. K Shibuya acknowledges the Japan Ministry of Education, Culture, Sports, Science and Technology. J Soriano acknowledges support from Centro de Investigación en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain. R Tabarés-Seisdedos was supported in part by grant PI17/00719 from ISCIII-FEDER. S Tadakamadla acknowledges support from National Health and Medical Research Council Early Career Fellowship, Australia. M Tonelli acknowledges the David Freeze research chair in health services research at the University of Calgary. See the component GBD 2019 capstone papers for acknowledgements specific to each part of the study. |
| Language | en |
| Publisher | Elsevier |
| Subject | Prediabetes Dexmedetomidine Correlation |
| Type | Article Review |
| Pagination | 1135-1159 |
| Issue Number | 10258 |
| Volume Number | 396 |
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