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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 Publisher Pubmed



Wang H1 ; Abajobir AA3 ; Abate KH5 ; Abbafati C6 ; Abbas KM7 ; Abdallah F8 ; Abera SF9, 13 ; Abraha HN12 ; Aburaddad LJ14 ; Aburmeileh NME15 ; Adedeji IA16 ; Adedoyin RA17 ; Adetifa IMO18, 19 ; Adetokunboh O20 Show All Authors
Authors
  1. Wang H1
  2. Abajobir AA3
  3. Abate KH5
  4. Abbafati C6
  5. Abbas KM7
  6. Abdallah F8
  7. Abera SF9, 13
  8. Abraha HN12
  9. Aburaddad LJ14
  10. Aburmeileh NME15
  11. Adedeji IA16
  12. Adedoyin RA17
  13. Adetifa IMO18, 19
  14. Adetokunboh O20
  15. Afshin A1
  16. Aggarwal R21
  17. Agrawal A22, 23
  18. Agrawal S25
  19. Ahmad Kiadaliri A26
  20. Ahmed MB5
  21. Aichour AN28
  22. Aichour I29
  23. Aichour MTE30
  24. Aiyar S1
  25. Akanda AS31
  26. Akinyemiju TF32
  27. Akseer N33, 34
  28. Aleyadhy A37, 38
  29. Al Lami FH39
  30. Alabed S40
  31. Alahdab F41, 42
  32. Alaly Z43
  33. Alam K44, 48, 50
  34. Alam N51
  35. Alasfoor D52
  36. Aldridge RW53
  37. Alene KA55, 57
  38. Alhabib S58
  39. Ali R62
  40. Alizadehnavaei R63
  41. Aljunid SM65, 66
  42. Alkaabi JM67
  43. Alkerwi A68
  44. Alla F69
  45. Allam SD70
  46. Allebeck P71
  47. Alraddadi R74
  48. Alsharif U75
  49. Altirkawi KA37
  50. Martin EA76
  51. Alvisguzman N77
  52. Amare AT78, 80
  53. Ameh EA81
  54. Amini E82, 83
  55. Ammar W96
  56. Amoako YA97
  57. Anber N99
  58. Andrei CL100
  59. Androudi S101
  60. Ansari H102
  61. Ansha MG103
  62. Antonio CAT104
  63. Anwari P105
  64. Arnlov J72, 106
  65. Arora M1
  66. Artaman A107
  67. Aryal KK108, 109
  68. Asayesh H110
  69. Asgedom SW12
  70. Asghar RJ111
  71. Assadi R112
  72. Atey TM12
  73. Atre SR113, 116
  74. Avilaburgos L117
  75. Avokpaho EFGA118, 119
  76. Awasthi A21
  77. Ayala Quintanilla BP120, 121
  78. Babalola TK122
  79. Bacha U123
  80. Badawi A35, 124
  81. Balakrishnan K125
  82. Balalla S126
  83. Barac A127
  84. Barber RM1
  85. Barboza MA129, 130
  86. Barkercollo SL131
  87. Barnighausen T132, 137, 138
  88. Barquera S117
  89. Barregard L139
  90. Barrero LH140
  91. Baune BT78
  92. Bazarganhejazi S141, 142
  93. Bedi N143
  94. Beghi E144
  95. Bejot Y145
  96. Bekele BB56, 146
  97. Bell ML147
  98. Bello AK148
  99. Bennett DA59
  100. Bennett JR1
  101. Bensenor IM150
  102. Benson J1
  103. Berhane A151
  104. Berhe DF10, 153
  105. Bernabe E154
  106. Beuran M155, 156
  107. Bhala N158, 159
  108. Bhansali A160
  109. Bhaumik S25
  110. Bhutta ZA33, 161
  111. Bikbov B162
  112. Birungi C54
  113. Biryukov S1
  114. Bisanzio D60
  115. Bizuayehu HM163
  116. Bjerregaard P164
  117. Blosser CD2
  118. Boneya DJ163
  119. Boufous S165
  120. Bourne RRA169
  121. Brazinova A170, 171
  122. Breitborde NJK173
  123. Brenner H174
  124. Brugha TS175
  125. Bukhman G136, 176
  126. Bulto LNB157
  127. Bumgarner BR1
  128. Burch M177
  129. Butt ZA178
  130. Cahill LE135, 179
  131. Cahuanahurtado L117
  132. Camposnonato IR117, 135
  133. Car J180, 183
  134. Car M183, 184
  135. Cardenas R185
  136. Carpenter DO186
  137. Carrero JJ73
  138. Carter A1
  139. Castanedaorjuela CA187, 188
  140. Castillo Rivas J189, 190
  141. Castro FF191
  142. Castro RE192
  143. Catalalopez F193, 194
  144. Chen H195
  145. Chiang PPC196
  146. Chibalabala M197
  147. Chisumpa VH198, 199
  148. Chitheer AA200
  149. Choi JYJ201, 202
  150. Christensen H203
  151. Christopher DJ204
  152. Ciobanu LG78
  153. Cirillo M205
  154. Cohen AJ206
  155. Colquhoun SM44
  156. Coresh J114
  157. Criqui MH207
  158. Cromwell EA1
  159. Crump JA208
  160. Dandona L1, 25
  161. Dandona R1, 25
  162. Dargan PI210
  163. Das Neves J211, 212
  164. Davey G215, 216
  165. Davitoiu DV100
  166. Davletov K217, 218
  167. De Courten B220
  168. De Leo D221
  169. Degenhardt L166
  170. Deiparine S1
  171. Dellavalle RP222, 223
  172. Deribe K224, 225
  173. Deribew A19, 60
  174. Des Jarlais DC227, 228
  175. Dharmaratne SD229
  176. Dherani MK231
  177. Diaztorne C232
  178. Ding EL135
  179. Dixit P233
  180. Djalalinia S234
  181. Do HP235
  182. Doku DT236, 237
  183. Donnelly CA183
  184. Dos Santos KPB238
  185. Douwesschultz D1
  186. Driscoll TR49, 239
  187. Duan L241
  188. Dubey M242
  189. Duncan BB243, 244
  190. Dwivedi LK245
  191. Ebrahimi H83, 89
  192. El Bcheraoui C1
  193. Ellingsen CL248
  194. Enayati A249
  195. Endries AY250
  196. Ermakov SP251, 252
  197. Eshetie S56
  198. Eshrati B253, 254
  199. Eskandarieh S255
  200. Esteghamati A84
  201. Estep K1
  202. Fanuel FBB256, 258
  203. Faro A259
  204. Farvid MS133, 260
  205. Farzadfar F83
  206. Feigin VL126
  207. Fereshtehnejad SM72
  208. Fernandes JG261
  209. Fernandes JC262
  210. Feyissa TR263
  211. Filip I264
  212. Fischer F265
  213. Foigt N266
  214. Foreman KJ1, 183
  215. Frank T1
  216. Franklin RC267
  217. Fraser M1
  218. Friedman J1
  219. Frostad JJ1
  220. Fullman N1
  221. Furst T181, 268, 270
  222. Furtado JM271
  223. Futran ND2
  224. Gakidou E1
  225. Gambashidze K272
  226. Gamkrelidze A272
  227. Gankpe FG273, 274
  228. Garciabasteiro AL275, 276
  229. Gebregergs GB9
  230. Gebrehiwot TT5
  231. Gebrekidan KG11, 277
  232. Gebremichael MW12
  233. Gelaye AA258
  234. Geleijnse JM278
  235. Gemechu BL279
  236. Gemechu KS157
  237. Genovamaleras R280, 281
  238. Gesesew HA5, 282
  239. Gething PW61
  240. Gibney KB45, 283
  241. Gill PS284
  242. Gillum RF285
  243. Giref AZ226
  244. Girma BW257
  245. Giussani G144
  246. Goenka S25
  247. Gomez B191
  248. Gona PN286
  249. Gopalani SV287
  250. Goulart AC288, 289
  251. Graetz N1
  252. Gugnani HC290
  253. Gupta PC291
  254. Gupta R292
  255. Gupta R292
  256. Gupta T294, 295
  257. Gupta V296
  258. Haagsma JA298
  259. Hafezinejad N84
  260. Haghparast Bidgoli H54
  261. Hakuzimana A300, 301
  262. Halasa YA302
  263. Hamadeh RR303
  264. Hamidi S304
  265. Hammami M305
  266. Hancock J1
  267. Handal AJ306
  268. Hankey GJ307, 308, 309
  269. Hao Y310
  270. Harb HL96
  271. Hareri HA226
  272. Harikrishnan S311
  273. Haro JM313
  274. Hassanvand MS85
  275. Havmoeller R73
  276. Hay RJ154, 314
  277. Hay SI1, 62
  278. He F1
  279. Herediapi IB117
  280. Herteliu C315
  281. Hilawe EH9, 317
  282. Hoek HW152, 318
  283. Horita N319
  284. Hosgood HD295
  285. Hostiuc S155
  286. Hotez PJ320
  287. Hoy DG321
  288. Hsairi M322
  289. Htet AS109, 323
  290. Hu G324
  291. Huang H325
  292. Huang JJ147
  293. Iburg KM327
  294. Igumbor EU328, 329
  295. Ileanu BV316
  296. Inoue M330
  297. Irenso AA157
  298. Irvine CMS1
  299. Islam N136, 331
  300. Jacobsen KH332
  301. Jaenisch T333
  302. Jahanmehr N334
  303. Jakovljevic MB2, 337, 338
  304. Javanbakht M339
  305. Jayatilleke AU340, 341
  306. Jeemon P24, 342
  307. Jensen PN2
  308. Jha V62, 345
  309. Jin Y241
  310. John D346
  311. John O345
  312. Johnson SC1
  313. Jonas JB347
  314. Jurisson M348
  315. Kabir Z349
  316. Kadel R350
  317. Kahsay A12
  318. Kalkonde Y351
  319. Kamal R352
  320. Kan H354
  321. Karch A355, 356
  322. Karema CK269, 357
  323. Karimi SM358
  324. Karthikeyan G359
  325. Kasaeian A84, 86
  326. Kassaw NA226
  327. Kassebaum NJ1, 360
  328. Kastor A242
  329. Katikireddi SV361
  330. Kaul A362
  331. Kawakami N363
  332. Kazanjan K272
  333. Keiyoro PN365, 366
  334. Kelbore SG226
  335. Kemp AH240, 368
  336. Kengne AP300, 370
  337. Keren A371
  338. Kereselidze M272
  339. Kesavachandran CN352
  340. Ketema EB12
  341. Khader YS372
  342. Khalil IA1
  343. Khan EA373
  344. Khan G374
  345. Khang YH375, 376
  346. Khera S377
  347. Khoja ATA114, 378
  348. Khosravi MH379, 380
  349. Kibret GD163
  350. Kieling C243, 381
  351. Kim CI382
  352. Kim D383
  353. Kim P1
  354. Kim S384
  355. Kim YJ385
  356. Kimokoti RW386
  357. Kinfu Y387
  358. Kishawi S70
  359. Kissimovaskarbek KA389
  360. Kissoon N331
  361. Kivimaki M54, 390
  362. Knudsen AK246, 392
  363. Kokubo Y395
  364. Kopec JA331
  365. Kosen S396
  366. Koul PA397
  367. Koyanagi A312
  368. Kravchenko M398
  369. Krohn KJ1
  370. Kuate Defo B399, 400
  371. Kucuk Bicer B401
  372. Kuipers EJ298
  373. Kulikoff XR1
  374. Kulkarni VS402
  375. Kumar GA25
  376. Kumar P242
  377. Kumsa FA157
  378. Kutz M1
  379. Lachat C404
  380. Lager ACJ73, 405
  381. Lal DK25
  382. Lalloo R4
  383. Lambert N406
  384. Lan Q407
  385. Lansingh VC408, 409
  386. Larson HJ1, 18
  387. Larsson A410
  388. Laryea DO98
  389. Lavados PM411
  390. Laxmaiah A412, 413
  391. Lee PH414
  392. Leigh J50
  393. Leung J2, 3
  394. Leung R415
  395. Levi M416
  396. Li Y417
  397. Liao Y310
  398. Liben ML418
  399. Lim SS1
  400. Linn S419
  401. Lipshultz SE420, 421
  402. Liu S241
  403. Lodha R359
  404. Logroscino G422
  405. Lorch SA423
  406. Lorkowski S424, 425
  407. Lotufo PA150
  408. Lozano R117
  409. Lunevicius R230, 426
  410. Lyons RA367
  411. Ma S427, 428
  412. Macarayan ERK134, 429
  413. Machado IE431
  414. Mackay MT48, 432
  415. Magdy Abd El Razek M434
  416. Magisrodriguez C435
  417. Mahdavi M87, 436, 437
  418. Majdan M170
  419. Majdzadeh R88, 438
  420. Majeed A182
  421. Malekzadeh R90
  422. Malhotra R359
  423. Malta DC431
  424. Mantovani LG439
  425. Manyazewal T440
  426. Mapoma CC198
  427. Marczak LB1
  428. Marks GB50
  429. Martinezraga J441, 442
  430. Martinsmelo FR443
  431. Massano J213, 444
  432. Maulik PK345
  433. Mayosi BM300
  434. Mazidi M445
  435. Mcalinden C446, 447
  436. Mcgarvey ST448
  437. Mcgrath JJ326, 449, 450
  438. Mckee M18
  439. Mehata S451, 452
  440. Mehndiratta MM453
  441. Mehta KM454
  442. Meier T455
  443. Mekonnen TC457
  444. Meles KG9
  445. Memiah P458
  446. Memish ZA459, 460
  447. Mendoza W461
  448. Mengistie MA5
  449. Mengistu DT12
  450. Menon GR413
  451. Menota BG226
  452. Mensah GA462
  453. Meretoja A47, 463
  454. Meretoja TJ391, 464
  455. Mezgebe HB12
  456. Micha R465, 466
  457. Mikesell J1
  458. Miller TR468, 469
  459. Mills EJ470
  460. Minnig S1
  461. Mirarefin M1, 471
  462. Mirrakhimov EM472, 473
  463. Misganaw A1
  464. Mishra SR4, 474
  465. Mohammad KA475, 476
  466. Mohammadi A477
  467. Mohammed KE12
  468. Mohammed S138, 478
  469. Mohan MBV479
  470. Mohanty SK242
  471. Mokdad AH1
  472. Molla Assaye A80
  473. Mollenkopf SK1
  474. Molokhia M154
  475. Monasta L480
  476. Montanez Hernandez JC117
  477. Montico M480
  478. Mooney MD1
  479. Moore AR481
  480. Moradilakeh M483
  481. Moraga P486
  482. Morawska L487
  483. Moreno Velasquez I191
  484. Mori R489, 490
  485. Morrison SD2
  486. Mruts KB491
  487. Mueller UO493
  488. Mullany E1
  489. Muller K1
  490. Murthy GVS18, 343
  491. Murthy S331
  492. Musa KI494
  493. Nachega JB20, 115, 495
  494. Nagata C489, 490
  495. Nagel G497
  496. Naghavi M1
  497. Naidoo KS499
  498. Nanda L344
  499. Nangia V500
  500. Nascimento BR501, 502
  501. Natarajan G503
  502. Negoi I155, 156
  503. Nguyen CT235
  504. Nguyen G1
  505. Nguyen QL235
  506. Nguyen TH235
  507. Ningrum DNA504, 505
  508. Nisar MI161
  509. Nomura M506
  510. Nong VM235
  511. Norheim OF394
  512. Norrving B27
  513. Noubiap JJN300, 507
  514. Nyakarahuka L508
  515. Obermeyer CM509
  516. Odonnell MJ510
  517. Ogbo FA511
  518. Oh IH513
  519. Okoro A514
  520. Oladimeji O515
  521. Olagunju AT79, 122
  522. Olusanya BO516
  523. Olusanya JO516
  524. Oren E517
  525. Ortiz A518
  526. Osgoodzimmerman A1
  527. Ota E519
  528. Owolabi MO520, 521
  529. Oyekale AS580
  530. Mahesh PA522
  531. Pacella RE488
  532. Pakhale S523, 524
  533. Pana A316
  534. Panda BK242
  535. Pandajonas S525
  536. Park EK527
  537. Parsaeian M83, 91
  538. Patel T227
  539. Patten SB528
  540. Patton GC44
  541. Paudel D530
  542. Pereira DM531
  543. Perezpadilla R532
  544. Perezruiz F533, 534
  545. Perico N162
  546. Pervaiz A535
  547. Pesudovs K282
  548. Peterson CB536
  549. Petri WA538
  550. Petzold M539, 540
  551. Phillips MR541, 542
  552. Piel FB183
  553. Pigott DM1
  554. Pishgar F82, 83
  555. Plass D543
  556. Polinder S297
  557. Popova S36
  558. Postma MJ153
  559. Poulton RG209
  560. Pourmalek F331
  561. Prasad N21
  562. Purwar M544
  563. Qorbani M545
  564. Rabiee RHS71
  565. Radfar A546
  566. Rafay A547, 548
  567. Rahimimovaghar A92
  568. Rahimimovaghar V93
  569. Rahman M549
  570. Rahman MHU242
  571. Rahman SU550
  572. Rai RK551
  573. Rajsic S552
  574. Ram U242
  575. Rana SM547, 548
  576. Ranabhat CL553, 554
  577. Rao PV555, 556
  578. Rawaf S183
  579. Ray SE1
  580. Rego MAS430
  581. Rehm J34, 557
  582. Reiner RC1
  583. Remuzzi G162, 558, 559
  584. Renzaho AMNN512
  585. Resnikoff S167, 168
  586. Rezaei S560
  587. Rezai MS64
  588. Ribeiro AL501
  589. Rokni MB95
  590. Ronfani L480
  591. Roshandel G90, 561
  592. Roth GA1
  593. Rothenbacher D496
  594. Roy A359
  595. Rubagotti E562
  596. Ruhago GM563
  597. Saadat S93
  598. Sabde YD564
  599. Sachdev PS168, 565
  600. Sadat N1
  601. Safdarian M93
  602. Safi S335
  603. Safiri S566
  604. Sagar R359
  605. Sahathevan R567, 568
  606. Sahebkar A112, 307
  607. Sahraian MA94
  608. Salama J1
  609. Salamati P93
  610. Salomon JA132
  611. Salvi SS569
  612. Samy AM570
  613. Sanabria JR571, 572
  614. Sancheznino MD573
  615. Santos IS149
  616. Santric Milicevic MM128
  617. Sarmientosuarez R574
  618. Sartorius B498, 575
  619. Satpathy M576
  620. Sawhney M577
  621. Saxena S183
  622. Saylan MI578
  623. Schmidt MI243
  624. Schneider IJC579, 601
  625. Schutte AE580, 581
  626. Schwebel DC32
  627. Schwendicke F582
  628. Seedat S20
  629. Sepanlou SG90
  630. Servanmori EE117
  631. Shackelford KA1
  632. Shaheen A583
  633. Shahraz S584
  634. Shaikh MA585
  635. Shamsipour M95
  636. Shamsizadeh M586
  637. Islam SMS587, 588
  638. Sharma J589
  639. Sharma R590
  640. She J353
  641. Shen J172, 591
  642. Shetty BP592, 593
  643. Shi P467
  644. Shibuya K364
  645. Shigematsu M594, 595
  646. Shiri R596
  647. Shiue I597, 598
  648. Shrime MG136
  649. Sigfusdottir ID599
  650. Silberberg DH600
  651. Silpakit N1
  652. Silva DAS579, 601
  653. Silva JP214
  654. Silveira DGA602
  655. Sindi S73
  656. Singh A242
  657. Singh JA603
  658. Singh PK604
  659. Singh V605
  660. Sinha DN606, 607
  661. Skiadaresi E609, 610
  662. Sligar A1
  663. Smith DL1
  664. Sobaih BHA37, 608
  665. Sobngwi E611, 612
  666. Soneji S613
  667. Soriano JB614
  668. Sreeramareddy CT615
  669. Srinivasan V1
  670. Stathopoulou V616
  671. Steel N617, 618
  672. Stein DJ299, 369
  673. Steiner C1
  674. Stockl H18
  675. Stokes MA619
  676. Strong M40
  677. Sufiyan MB620
  678. Suliankatchi RA621
  679. Sunguya BF563
  680. Sur PJ1
  681. Swaminathan S622
  682. Sykes BL623
  683. Szoeke CEI48
  684. Tabaresseisdedos R193
  685. Tadakamadla SK624
  686. Tadese F456
  687. Tandon N359
  688. Tarajia M625, 626
  689. Tavakkoli M627
  690. Taveira N628, 629
  691. Tehranibanihashemi A482, 484
  692. Tekelab T263, 630
  693. Tekle DY12
  694. Temam Shifa G226, 250
  695. Temsah MH37, 38
  696. Terkawi AS537, 631
  697. Tesema CL163
  698. Tesssema B56
  699. Theis A1
  700. Thomas N204
  701. Thompson AH1
  702. Thomson AJ633
  703. Thrift AG219
  704. Tiruye TY163
  705. Tobegai R489, 490
  706. Tonelli M529
  707. Topormadry R388, 634
  708. Topouzis F635
  709. Tortajada M441, 636
  710. Tran BX115, 637
  711. Truelsen T638
  712. Trujillo U639
  713. Tsilimparis N640
  714. Tuem KB12
  715. Tuzcu EM632
  716. Tyrovolas S641
  717. Ukwaja KN642
  718. Undurraga EA643
  719. Uthman OA644
  720. Uzochukwu BSC645
  721. Van Boven JFM153
  722. Varakin YY398
  723. Varughese S204
  724. Vasankari T646
  725. Vasconcelos AMN647
  726. Venketasubramanian N648
  727. Vidavalur R649
  728. Violante FS650
  729. Vishnu A228
  730. Vladimirov SK651
  731. Vlassov VV652
  732. Vollset SE1, 247, 393
  733. Vos T1
  734. Waid JL526, 653
  735. Wakayo T5
  736. Wang YP150
  737. Weichenthal S654
  738. Weiderpass E73, 655, 656, 657
  739. Weintraub RG432, 658
  740. Werdecker A492
  741. Wesana J403, 659
  742. Wijeratne T48, 660
  743. Wilkinson JD420, 421
  744. Wiysonge CS20, 370
  745. Woldeyes BG226
  746. Wolfe CDA154, 661
  747. Workicho A5, 404
  748. Workie SB258
  749. Xavier D662
  750. Xu G663
  751. Yaghoubi M485, 664
  752. Yakob B498
  753. Yalew AZ12
  754. Yan LL665
  755. Yano Y666
  756. Yaseri M95, 336
  757. Ye P241
  758. Yimam HH146
  759. Yip P667, 668
  760. Yirsaw BD226, 669
  761. Yonemoto N670
  762. Yoon SJ671
  763. Yotebieng M173, 672
  764. Younis MZ673
  765. Zaidi Z674
  766. El Sayed Zaki M99
  767. Zeeb H675
  768. Zenebe ZM12
  769. Zerfu TA226, 676
  770. Zhang AL677
  771. Zhang X678, 679
  772. Zodpey S25
  773. Zuhlke LJ680
  774. Lopez AD46
  775. Murray CJL1

Source: The Lancet Published:2017


Abstract

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 Socio-demographic 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. Copyright © The Author(s).
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