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Browsing by Author "Abebo, Teshome Abuka (57195738441)"

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    Publication
    Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017
    (2018)
    Dicker, Daniel (57196026676)
    ;
    Nguyen, Grant (57191591002)
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    Abate, Degu (57204237665)
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    Abate, Kalkidan Hassen (57207943858)
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    Abay, Solomon M. (35306466900)
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    Abbafati, Cristiana (54917122400)
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    Abbasi, Nooshin (57212442022)
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    Abbastabar, Hedayat (57212441848)
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    Abd-Allah, Foad (36503428900)
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    Abdela, Jemal (57200613000)
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    Abdelalim, Ahmed (7801307783)
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    Abdel-Rahman, Omar (55777635800)
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    Abdi, Alireza (56845014200)
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    Abdollahpour, Ibrahim (36997151900)
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    Abdulkader, Rizwan Suliankatchi (57195295816)
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    Abdurahman, Ahmed Abdulahi (56677630600)
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    Abebe, Haftom Temesgen (55950002100)
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    Abebe, Molla (57211131124)
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    Abebe, Zegeye (57193002719)
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    Abebo, Teshome Abuka (57195738441)
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    Aboyans, Victor (56214736500)
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    Abraha, Haftom Niguse (57195289877)
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    Abrham, Aklilu Roba (57202704637)
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    Abu-Raddad, Laith Jamal (14032724700)
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    Abu-Rmeileh, Niveen ME (57216675148)
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    Accrombessi, Manfred Mario Kokou (55353650500)
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    Acharya, Pawan (56435749900)
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    Adebayo, Oladimeji M. (57194329853)
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    Adedeji, Isaac Akinkunmi (57208456508)
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    Adedoyin, Rufus Adesoji (55947572800)
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    Adekanmbi, Victor (53463192900)
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    Adetokunboh, Olatunji O. (56598104300)
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    Adhena, Beyene Meressa (57209325570)
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    Adhikari, Tara Ballav (57209325586)
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    Adib, Mina G. (57204560513)
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    Adou, Arsène Kouablan (56531895000)
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    Adsuar, Jose C. (21738958900)
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    Afarideh, Mohsen (56227034300)
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    Afshin, Ashkan (57217465455)
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    Agarwal, Gina (57220151944)
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    Aggarwal, Rakesh (7203024985)
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    Aghayan, Sargis Aghasi (57202646096)
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    Agrawal, Sutapa (57202841733)
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    Agrawal, Anurag (35214460700)
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    Ahmadi, Mehdi (16644923000)
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    Ahmadi, Alireza (56336080700)
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    Ahmadieh, Hamid (57203677679)
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    Ahmed, Mohamed Lemine Cheikh Brahim (57258605600)
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    Ahmed, Sayem (58601030100)
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    Ahmed, Muktar Beshir (57207802317)
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    Aichour, Amani Nidhal (57195486768)
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    Aichour, Ibtihel (57195485980)
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    Aichour, Miloud Taki Eddine (57195488258)
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    Akanda, Ali S. (35290419100)
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    Akbari, Mohammad Esmaeil (56666938200)
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    Akibu, Mohammed (57217239713)
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    Akinyemi, Rufus Olusola (25633566800)
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    Akinyemiju, Tomi (57202561503)
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    Akseer, Nadia (57207801968)
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    Alahdab, Fares (55135922900)
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    Al-Aly, Ziyad (9738161500)
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    Alam, Khurshid (57203681299)
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    Alebel, Animut (57195961302)
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    Aleman, Alicia V. (57204772329)
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    Alene, Kefyalew Addis (57202583764)
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    Al-Eyadhy, Ayman (24554080400)
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    Ali, Raghib (57196506541)
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    Alijanzadeh, Mehran (56236864700)
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    Alizadeh-Navaei, Reza (36024974700)
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    Aljunid, Syed Mohamed (6504304159)
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    Alkerwi, Ala’A (57197724313)
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    Alla, François (6701580827)
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    Allebeck, Peter (7005187575)
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    Allen, Christine A. (57200170678)
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    Alonso, Jordi (7403482329)
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    Al-Raddadi, Rajaa M. (57219673720)
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    Alsharif, Ubai (57211633255)
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    Altirkawi, Khalid (57202762923)
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    Alvis-Guzman, Nelson (57210741239)
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    Amare, Azmeraw T. (57202220009)
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    Amini, Erfan (35073393800)
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    Ammar, Walid (57208159281)
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    Amoako, Yaw Ampem (44960986700)
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    Anber, Nahla Hamed (57202351369)
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    Andrei, Catalina Liliana (36543507200)
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    Androudi, Sofia (6603286512)
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    Animut, Megbaru Debalkie (57204558749)
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    Anjomshoa, Mina (57204563282)
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    Anlay, Degefaye Zelalem (57115560800)
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    Ansari, Hossein (56919376000)
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    Ansariadi, Ansariadi (57214781054)
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    Ansha, Mustafa Geleto (57195329453)
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    Antonio, Carl Abelardo T. (55247644500)
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    Appiah, Seth Christopher Yaw (57204569403)
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    Aremu, Olatunde (57214958833)
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    Areri, Habtamu Abera (57204564768)
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    Ärnlöv, Johan (57192041282)
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    Arora, Megha (57196080797)
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    Artaman, Al (57217223811)
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    Aryal, Krishna K. (57203859052)
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    Asadi-Lari, Mohsen (6603191961)
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    Asayesh, Hamid (55334322800)
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    Asfaw, Ephrem Tsegay (57203306449)
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    Asgedom, Solomon Weldegebreal (57203681037)
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    Assadi, Reza (57203677411)
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    Ataro, Zerihun (57204563849)
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    Atey, Tesfay Mehari Mehari (57209784978)
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    Athari, Seyyed Shamsadin (26653399600)
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    Atique, Suleman (56505419100)
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    Atre, Sachin R. (22933845900)
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    Atteraya, Madhu Sudhan (55970935700)
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    Attia, Engi F. (57026413500)
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    Ausloos, Marcel (7101798907)
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    Avila-Burgos, Leticia (8530790100)
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    Avokpaho, Euripide F G A. (57209842037)
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    Awasthi, Ashish (58420926700)
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    Awuah, Baffour (12779547800)
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    Ayala Quintanilla, Beatriz Paulina (55598298700)
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    Ayele, Henok Tadesse (55573710400)
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    Ayele, Yohanes (57195129631)
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    Ayer, Rakesh (56051098100)
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    Ayuk, Tambe B. (57203307639)
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    Azzopardi, Peter S. (56861081000)
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    Azzopardi-Muscat, Natasha (56185341300)
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    Badali, Hamid (15123728900)
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    Badawi, Alaa (57216776029)
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    Balakrishnan, Kalpana (7103222725)
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    Bali, Ayele Geleto (57204564615)
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    Banach, Maciej (22936699500)
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    Banstola, Amrit (57208985808)
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    Barac, Aleksandra (55550748700)
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    Barboza, Miguel A. (56650777100)
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    Barquera, Simon (6601928375)
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    Barrero, Lope H. (57208560675)
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    Basaleem, Huda (6505771974)
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    Bassat, Quique (23024176000)
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    Basu, Arindam (16315264400)
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    Basu, Sanjay (9335409500)
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    Baune, Bernhard T. (6603807336)
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    Bazargan-Hejazi, Shahrzad (57205912040)
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    Bedi, Neeraj (57988442200)
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    Beghi, Ettore (7004809655)
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    Behzadifar, Masoud (57204671696)
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    Behzadifar, Meysam (59429991000)
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    Béjot, Yannick (57209275748)
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    Bekele, Bayu Begashaw (57196083941)
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    Belachew, Abate Bekele (57201657313)
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    Belay, Aregawi Gebreyesus (57204561937)
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    Belay, Ezra (56372891800)
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    Belay, Saba Abraham (57203298880)
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    Belay, Yihalem Abebe (57202972558)
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    Bell, Michelle L. (7401466450)
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    Bello, Aminu K. (12759638700)
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    Bennett, Derrick A. (57650836400)
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    Bensenor, Isabela M. (7004830338)
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    Berhane, Adugnaw (57200410735)
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    Berman, Adam E. (7201959854)
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    Bernabe, Eduardo (57194696150)
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    Bernstein, Robert S. (56971681200)
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    Bertolacci, Gregory J. (57204558417)
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    Beuran, Mircea (25229806700)
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    Beyranvand, Tina (57203000763)
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    Bhala, Neeraj (15759186000)
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    Bhatia, Eesh (57202595439)
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    Bhatt, Samir (57203665130)
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    Bhattarai, Suraj (55646532200)
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    Bhaumik, Soumyadeeep (55643126300)
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    Bhutta, Zulfiqar A. (24342648300)
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    Biadgo, Belete (55672090500)
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    Bijani, Ali (23134684900)
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    Bikbov, Boris (57219957158)
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    Bililign, Nigus (57216264444)
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    Bin Sayeed, Muhammad Shahdaat (55408904500)
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    Birlik, Sait Mentes (57190275478)
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    Birungi, Charles (57195448297)
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    Bisanzio, Donal (57196394991)
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    Biswas, Tuhin (59824959000)
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    Bjørge, Tone (57209275706)
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    Bleyer, Archie (57192109538)
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    Bora Basara, Berrak (23089934500)
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    Bose, Dipan (57205255835)
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    Bosetti, Cristina (7005452936)
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    Boufous, Soufiane (6507794444)
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    Bourne, Rupert (7103377631)
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    Brady, Oliver J. (57218716651)
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    Bragazzi, Nicola Luigi (57212030091)
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    Brant, Luisa C. (40160889400)
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    Brazinova, Alexandra (57216996405)
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    Breitborde, Nicholas J K. (6603260895)
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    Brenner, Hermann (7201832825)
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    Britton, Gabrielle (7004997832)
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    Brugha, Traolach (35370057100)
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    Burke, Kristin E. (55920698000)
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    Busse, Reinhard (35589070800)
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    Butt, Zahid A. (57202522739)
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    Cahuana-Hurtado, Lucero (57207890731)
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    Callender, Charlton S K H. (57195560691)
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    Campos-Nonato, Ismael R. (57203424784)
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    Campuzano Rincon, Julio Cesar (6505846919)
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    Cano, Jorge (7201865982)
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    Car, Mate (57113377700)
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    Cárdenas, Rosario (57193816960)
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    Carreras, Giulia (57221176357)
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    Carrero, Juan J. (16834646800)
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    Carter, Austin (57201756395)
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    Carvalho, Félix (7103070417)
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    Castañeda-Orjuela, Carlos A. (57193817840)
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    Castillo Rivas, Jacqueline (57197814657)
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    Castro, Franz (57204567353)
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    Catalá-López, Ferrán (57193815530)
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    Çavlin, Alanur (57209275669)
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    Cerin, Ester (14522064200)
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    Chaiah, Yazan (57204565480)
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    Champs, Ana Paula (15820173400)
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    Chang, Hsing-Yi (7407523087)
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    Chang, Jung-Chen (57202568248)
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    Chattopadhyay, Aparajita (14827821600)
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    Chaturvedi, Pankaj (35547314900)
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    Chen, Wanqing (36084128800)
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    Chiang, Peggy Pei-Chia (59846886500)
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    Chimed-Ochir, Odgerel (57217262222)
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    Chin, Ken Lee (57216745370)
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    Chisumpa, Vesper Hichilombwe (56761895800)
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    Chitheer, Abdulaal (57209314488)
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    Choi, Jee-Young J. (57209706428)
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    Christensen, Hanne (57202099623)
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    Christopher, Devasahayam J. (57209863533)
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    Chung, Sheng-Chia (56008137900)
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    Cicuttini, Flavia M. (7005887430)
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    Ciobanu, Liliana G. (57201603453)
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    Cirillo, Massimo (35247478400)
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    Claro, Rafael M. (16834671700)
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    Cohen, Aaron J. (7404780942)
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    Collado-Mateo, Daniel (56820108800)
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    Constantin, Maria-Magdalena (55560540800)
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    Conti, Sara (24329297700)
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    Cooper, Cyrus (36041345700)
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    Cooper, Leslie Trumbull (15754277900)
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    Cortesi, Paolo Angelo (57200306512)
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    Cortinovis, Monica (57207893885)
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    Cousin, Ewerton (57194620705)
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    Criqui, Michael H. (7005209601)
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    Cromwell, Elizabeth A. (15727546000)
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    Crowe, Christopher Stephen (55976347800)
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    Crump, John A. (57202595111)
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    Cucu, Alexandra (55376733000)
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    Cunningham, Matthew (57204558787)
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    Daba, Alemneh Kabeta (57203300408)
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    Dachew, Berihun Assefa (56289825700)
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    Dadi, Abel Fekadu (57031690900)
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    Dandona, Lalit (7007017243)
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    Dandona, Rakhi (57203043697)
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    Dang, Anh Kim (57195728465)
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    Dargan, Paul I. (57212154356)
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    Daryani, Ahmad (16021522200)
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    Das, Siddharth K. (55362129800)
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    Das Gupta, Rajat (57215122060)
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    Das Neves, José (57208766906)
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    Dasa, Tamirat Tesfaye (57204268402)
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    Dash, Aditya Prasad (7102622168)
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    Davis Weaver, Nicole (57203300193)
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    Davitoiu, Dragos Virgil (57202555163)
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    Davletov, Kairat (6602803024)
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    Dayama, Anand (57202564137)
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    de Courten, Barbora (57208309416)
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    De la Hoz, Fernando Pio (23134262800)
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    De leo, Diego (7006128644)
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    De Neve, Jan-Walter (57039962400)
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    Degefa, Meaza Girma (57204559873)
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    Degenhardt, Louisa (7004040033)
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    Degfie, Tizta T. (57194129130)
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    Deiparine, Selina (57205252200)
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    Dellavalle, Robert P. (7003806771)
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    Demoz, Gebre Teklemariam (57202214514)
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    Demtsu, Balem Betsu (57204566544)
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    Denova-Gutiérrez, Edgar (57209275702)
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    Deribe, Kebede (57193912587)
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    Dervenis, Nikolaos (35368148900)
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    Des Jarlais, Don C. (56990451200)
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    Dessie, Getenet Ayalew (57202055866)
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    Dey, Subhojit (25958052600)
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    Dharmaratne, Samath Dhamminda (57216324802)
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    Dhimal, Meghnath (54941157300)
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    Ding, Eric L. (54413849800)
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    Djalalinia, Shirin (37113718000)
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    Doku, David Teye (36015210300)
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    Dolan, Kate A. (7102282862)
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    Donnelly, Christl A. (35468127900)
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    Dorsey, E Ray (23102496300)
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    Douwes-Schultz, Dirk (57196081398)
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    Doyle, Kerrie E. (55693710800)
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    Drake, Thomas M. (57210092283)
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    Driscoll, Tim Robert (7005928308)
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    Dubey, Manisha (57219898654)
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    Dubljanin, Eleonora (55957442600)
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    Duken, Eyasu Ejeta (57204560558)
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    Duncan, Bruce B. (35476478500)
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    Duraes, Andre R. (30867558600)
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    Ebrahimi, Hedyeh (57195329214)
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    Ebrahimpour, Soheil (57204558416)
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    Edessa, Dumessa (56922334200)
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    Edvardsson, David (35229255500)
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    Eggen, Anne Elise (7007019553)
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    El Bcheraoui, Charbel (25027689700)
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    El Sayed Zaki, Maysaa (57203666922)
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    Elfaramawi, Mohammed (53363514900)
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    El-Khatib, Ziad (54908919000)
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    Ellingsen, Christian Lycke (7801360950)
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    Elyazar, Iqbal R F. (6506894785)
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    Enayati, Ahmadali (6507139052)
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    Endries, Aman Yesuf Yesuf (57216324852)
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    Er, Benjamin (57204568328)
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    Ermakov, Sergey Petrovich (7006796196)
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    Eshrati, Babak (16030619200)
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    Eskandarieh, Sharareh (57211720158)
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    Esmaeili, Reza (57193352042)
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    Esteghamati, Alireza (11240321100)
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    Esteghamati, Sadaf (54906169400)
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    Fakhar, Mahdi (24168542800)
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    Fakhim, Hamed (56532027000)
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    Farag, Tamer (16230217600)
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    Faramarzi, Mahbobeh (8928307700)
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    Fareed, Mohammad (24491815600)
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    Farhadi, Farzaneh (55869726400)
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    Farid, Talha A. (24824364300)
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    E Sá Farinha, Carla Sofia (57190279273)
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    Farioli, Andrea (57207608705)
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    Faro, Andre (36770969600)
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    Farvid, Maryam S. (57216534761)
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    Farzadfar, Farshad (57195049611)
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    Farzaei, Mohammad Hosein (36458335600)
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    Fazeli, Mir Sohail (56579103600)
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    Feigin, Valery L. (57203677957)
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    Feigl, Andrea B. (57202461042)
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    Feizy, Fariba (36653958700)
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    Fentahun, Netsanet (56394665400)
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    Fereshtehnejad, Seyed-Mohammad (57202557520)
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    Fernandes, Eduarda (34770207500)
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    Fernandes, Joao C. (35274726800)
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    Feyissa, Garumma Tolu (55504728900)
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    Fijabi, Daniel Obadare (56133163100)
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    Filip, Irina (55570061400)
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    Finegold, Samuel (57195558156)
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    Fischer, Florian (55508208800)
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    Flor, Luisa Sorio (54414102000)
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    Foigt, Nataliya A. (57216998893)
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    Ford, John A. (55434558100)
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    Foreman, Kyle J. (57209064414)
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    Fornari, Carla (15022250200)
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    Frank, Tahvi D. (57203197110)
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    Franklin, Richard Charles (7201428429)
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    Fukumoto, Takeshi (26531100300)
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    Fuller, John E. (57204565664)
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    Fullman, Nancy (57211064970)
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    Fürst, Thomas (57208431345)
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    Furtado, João M. (36801755000)
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    Futran, Neal D. (35554564000)
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    Galan, Adriana (57196859570)
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    Gallus, Silvano (7005387365)
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    Gambashidze, Ketevan (13610194000)
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    Gamkrelidze, Amiran (6506029209)
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    Gankpe, Fortune Gbetoho (57201341525)
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    Garcia-Basteiro, Alberto L. (57200187168)
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    Garcia-Gordillo, Miguel A. (55930749500)
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    Gebre, Teshome (57202565005)
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    Gebre, Abadi Kahsu (59426751000)
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    Gebregergs, Gebremedhin Berhe (57078990000)
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    Gebrehiwot, Tsegaye Tewelde (57216482917)
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    Gebremedhin, Amanuel Tesfay (57202566187)
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    Gelano, Tilayie Feto (57200628899)
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    Gelaw, Yalemzewod Assefa (56426241300)
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    Geleijnse, Johanna M. (35195702500)
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    Genova-Maleras, Ricard (15070563900)
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    Gessner, Bradford D. (7005779769)
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    Getachew, Sefonias (56798359200)
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    Gething, Peter W. (57193559189)
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    Gezae, Kebede Embaye (57204561611)
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    Ghadami, Mohammad Rasoul (57204797800)
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    Ghadimi, Reza (57202290802)
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    Ghasemi Falavarjani, Khalil (15724975400)
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    Ghasemi-Kasman, Maryam (55371171100)
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    Saxena, Sonia (57203151746)
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    Shakir, Raad A. (55374140100)
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    Shamsizadeh, Morteza (57195940127)
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    Sharafi, Heidar (57322506400)
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    Sharafi, Kiomars (57194516056)
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    Sharif, Mehdi (16022734200)
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    Sharif-Alhoseini, Mahdi (35108018000)
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    Sharma, Meenakshi (58730797800)
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    Sharma, Jayendra (57195329457)
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    Sharma, Rajesh (58228412600)
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    She, Jun (57209122131)
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    Sheikh, Aziz (7202522962)
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    Sheth, Kevin N. (57212863894)
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    Shi, Peilin (57203064901)
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    Shibuya, Kenji (8948057900)
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    Shifa, Girma Temam (57211793093)
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    Shiferaw, Mekonnen Sisay (57205232012)
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    Shigematsu, Mika (23968093000)
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    Shiri, Rahman (57200737050)
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    Shirkoohi, Reza (12776374400)
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    Shiue, Ivy (35811219800)
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    Shokraneh, Farhad (36146063000)
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    Shrime, Mark G. (57204703404)
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    Shukla, Sharvari Rahul (55760856000)
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    Si, Si (56706979500)
    Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specifc mortality shows that there are remarkably complex patterns in population mortality across countries. The fndings of this study highlight global successes, such as the large decline in under-5 mortality, which refects signifcant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. © 2018 The Author(s).
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    Publication
    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
    (2017)
    Hay, Simon I. (7101875313)
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    Bell, Michelle L. (7401466450)
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    Bennett, James R. (59110116800)
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    Carpenter, David O. (7201795413)
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    Carvalho, Felix (7103070417)
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    Casey, Daniel (56844735100)
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    Yu, Chuanhua (57201889726)
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    Zenebe, Zerihun Menlkalew (57200737185)
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    Zhang, Xueying (56283378700)
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    Zheng, Yingfeng (58918045300)
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    Zhou, Maigeng (57054557200)
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    Zipkin, Ben (57200737130)
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    Zoeckler, Leo (57203905510)
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    Zuhlke, Liesl Joanna (57209027746)
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    Murray, Christopher J. L. (55481130700)
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    Adedji, I.A. (57207919805)
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    Murdoch, M.E. (57202097865)
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    Bryane, C.E.G. (57207920084)
    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 difered 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 ofset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the fve 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 ofset 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 eforts, and development assistance for health, including fnancial 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. © The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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    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
    (2017)
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    Venketasubramanian, Narayanaswamy (56804702100)
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    Yakob, Bereket (57203811497)
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    Yan, Lijing L. (35933756700)
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    Yano, Yuichiro (57196965200)
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    Ye, Pengpeng (57202839295)
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    Yimam, Hassen Hamid (57196325590)
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    Yip, Paul (7102503720)
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    Yoon, Seok-Jun (24823148900)
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    Yotebieng, Marcel (26325950800)
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    Younis, Mustafa Z. (8549393000)
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    Zaidi, Zoubida (57197376721)
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    Zaki, Maysaa El Sayed (57203666922)
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    Zegeye, Elias Asfaw (57209171278)
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    Zenebe, Zerihun Menlkalew (57200737185)
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    Zhang, Xueying (56283378700)
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    Zhou, Maigeng (57054557200)
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    Zipkin, Ben (57200737130)
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    Zodpey, Sanjay (7003415080)
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    Zuhlke, Liesl Joanna (57209027746)
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    Murray, Christopher J.L. (55481130700)
    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. © The Author(s). Published by Elsevier Ltd.
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    Publication
    Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: A systematic analysis from the Global Burden of Disease Study 2016
    (2018)
    Fullman, Nancy (57211064970)
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    Lozano, Rafael (7102198442)
    Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8-98·1) in Iceland, followed by 96·6 (94·9-97·9) in Norway and 96·1 (94·5-97·3) in the Netherlands, to values as low as 18·6 (13·1-24·4) in the Central African Republic, 19·0 (14·3-23·7) in Somalia, and 23·4 (20·2-26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1-93·6) in Beijing to 48·0 (43·4-53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6-68·8) in Goa to 34·0 (30·3-38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle- SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view - and subsequent provision - of quality health care for all populations. Copyright © 2018 The Author(s). Published by Elsevier Ltd.
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    Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
    (2018)
    Murray, Christopher J.L. (55481130700)
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    Callender, Charlton S.K.H. (57195560691)
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    Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of 3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

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