Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
- Authors
- Vos, Theo; Allen, Christine; Arora, Megha; Barber, Ryan M; Bhutta, Zulfiqar A; Brown, Alexandria; Carter, Austin; Casey, Daniel C; Charlson, Fiona J; Chen, Alan Z; Coggeshall, Megan; Cornaby, Leslie; Dandona, Lalit; Dicker, Daniel J; Dilegge, Tina; Erskine, Holly E; Ferrari, Alize J; Fitzmaurice, Christina; Fleming, Tom; Forouzanfar, Mohammad H; Fullman, Nancy; Gething, Peter W; Goldberg, Ellen M; Graetz, Nicholas; Haagsma, Juanita A; Hay, Simon I; Johnson, Catherine O; Kassebaum, Nicholas J; Kawashima, Toana; Kemmer, Laura; Khalil, Ibrahim A; Kinfu, Yohannes; Kyu, Hmwe H; Leung, Janni; Liang, Xiaofeng; Lim, Stephen S; Lopez, Alan D; Lozano, Rafael; Marczak, Laurie; Mensah, George A; Mokdad, Ali H; Naghavi, Mohsen; Nguyen, Grant; Nsoesie, Elaine; Olsen, Helen; Pigott, David M; Pinho, Christine; Rankin, Zane; Reinig, Nikolas; Salomon, Joshua A; Sandar, Logan; Smith, Alison; Stanaway, Jeffrey; Steiner, Caitlyn; Teeple, Stephanie; Thomas, Bernadette A; Troeger, Christopher; Wagner, Joseph A; Wang, Haidong; Wanga, Valentine; Whiteford, Harvey A; Zoeckler, Leo; Abajobir, Amanuel Alemu; Abate, Kalkidan Hassen; Abbafati, Cristiana; Abbas, Kaja M; Abd-Allah, Foad; Abraham, Biju; Abubakar, Ibrahim; Abu-Raddad, Laith J; Abu-Rmeileh, Niveen ME; Ackerman, Ilana N; Adebiyi, Akindele Olupelumi; Ademi, Zanfina; Adou, Arsène Kouablan; Afanvi, Kossivi Agbelenko; Agardh, Emilie Elisabet; Agarwal, Arnav; Kiadaliri, Aliasghar Ahmad; Ahmadieh, Hamid; Ajala, Oluremi N; Akinyemi, Rufus Olusola; Akseer, Nadia; Al-Aly, Ziyad; Alam, Khurshid; Alam, Noore KM; Aldhahri, Saleh Fahed; Alegretti, Miguel Angel; Alemu, Zewdie Aderaw; Alexander, Lily T; Alhabib, Samia; Ali, Raghib; Alkerwi, Ala'a; Alla, François; Allebeck, Peter; Al-Raddadi, Rajaa; Alsharif, Ubai; Altirkawi, Khalid A; Alvis-Guzman, Nelson; Amare, Azmeraw T; Amberbir, Alemayehu; Amini, Heresh; Ammar, Walid; Amrock, Stephen Marc; Andersen, Hjalte H; Anderson, Gregory M; Anderson, Benjamin O; T Antonio, Carl Abelardo; Aregay, Atsede Fantahun; Ärnlöv, Johan; Artaman, Al; Asayesh, Hamid; Assadi, Reza; Atique, Suleman; Arthur Avokpaho, Euripide Frinel G; Awasthi, Ashish; Ayala Quintanilla, Beatriz Paulina; Azzopardi, Peter; Bacha, Umar; Badawi, Alaa; Balakrishnan, Kalpana; Banerjee, Amitava; Barac, Aleksandra; Barker-Collo, Suzanne L; Bärnighausen, Till; Barregard, Lars; Barrero, Lope H; Basu, Arindam; Bazargan-Hejazi, Shahrzad; Beghi, Ettore; Bell, Brent; Bell, Michelle L; Bennett, Derrick A; Bensenor, Isabela M; Benzian, Habib; Berhane, Adugnaw; Bernabé, Eduardo; Betsu, Balem Demtsu; Beyene, Addisu Shunu; Bhala, Neeraj; Bhatt, Samir; Biadgilign, Sibhatu; Bienhoff, Kelly; Bikbov, Boris; Biryukov, Stan; Bisanzio, Donal; Bjertness, Espen; Blore, Jed; Borschmann, Rohan; Boufous, Soufiane
- Format
- Article
- Status
- publishedVersion
- Description
Background Non-fatal outcomes of disease and injury increasingly detract from the ability of the world’s population to live in full health, a trend largely attributable to an epidemiological transition in many countries from causes aff ecting children, to non-communicable diseases (NCDs) more common in adults. For the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015), we estimated the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015.Methods We estimated incidence and prevalence by age, sex, cause, year, and geography with a wide range of updated and standardised analytical procedures. Improvements from GBD 2013 included the addition of new data sources, updates to literature reviews for 85 causes, and the identifi cation and inclusion of additional studies published up to November, 2015, to expand the database used for estimation of non-fatal outcomes to 60 900 unique data sources. Prevalence and incidence by cause and sequelae were determined with DisMod-MR 2.1, an improved version of the DisMod-MR Bayesian meta-regression tool fi rst developed for GBD 2010 and GBD 2013. For some causes, we used alternative modelling strategies where the complexity of the disease was not suited to DisMod-MR 2.1 or where incidence and prevalence needed to be determined from other data. For GBD 2015 we created a summary indicator that combines measures of income per capita, educational attainment, and fertility (the Socio-demographic Index [SDI]) and used it to compare observed patterns of health loss to the expected pattern for countries or locations with similar SDI scores.
Background Non-fatal outcomes of disease and injury increasingly detract from the ability of the world’s population to live in full health, a trend largely attributable to an epidemiological transition in many countries from causes aff ecting children, to non-communicable diseases (NCDs) more common in adults. For the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015), we estimated the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015.Methods We estimated incidence and prevalence by age, sex, cause, year, and geography with a wide range of updated and standardised analytical procedures. Improvements from GBD 2013 included the addition of new data sources, updates to literature reviews for 85 causes, and the identifi cation and inclusion of additional studies published up to November, 2015, to expand the database used for estimation of non-fatal outcomes to 60 900 unique data sources. Prevalence and incidence by cause and sequelae were determined with DisMod-MR 2.1, an improved version of the DisMod-MR Bayesian meta-regression tool fi rst developed for GBD 2010 and GBD 2013. For some causes, we used alternative modelling strategies where the complexity of the disease was not suited to DisMod-MR 2.1 or where incidence and prevalence needed to be determined from other data. For GBD 2015 we created a summary indicator that combines measures of income per capita, educational attainment, and fertility (the Socio-demographic Index [SDI]) and used it to compare observed patterns of health loss to the expected pattern for countries or locations with similar SDI scores.
- Publication Year
- 2016
- Language
- eng
- Topic
- NCDs
GBD 2015
Risk Factors
- Repository
- RI INDICASAT
- Get full text
- https://doi.org/10.1016/S0140-6736(16)31678-6
http://repositorio-indicasat.org.pa/handle/123456789/205
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- openAccess
- License