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Mapping Disparities in Education Across Low- and Middle-Income Countries Publisher Pubmed



Graetz N356 ; Woyczynski L356 ; Wilson KF356 ; Hall JB356 ; Abate KH1 ; Abdallah F2 ; Adebayo OM3 ; Adekanmbi V4 ; Afshari M5 ; Ajumobi O6, 7 ; Akinyemiju T8, 9 ; Alahdab F10 ; Alaly Z11, 12 ; Rabanal JEA13 Show All Authors
Authors
  1. Graetz N356
  2. Woyczynski L356
  3. Wilson KF356
  4. Hall JB356
  5. Abate KH1
  6. Abdallah F2
  7. Adebayo OM3
  8. Adekanmbi V4
  9. Afshari M5
  10. Ajumobi O6, 7
  11. Akinyemiju T8, 9
  12. Alahdab F10
  13. Alaly Z11, 12
  14. Rabanal JEA13
  15. Alijanzadeh M14
  16. Alipour V15
  17. Altirkawi K16
  18. Amiresmaili M17
  19. Anber NH18
  20. Andrei CL19
  21. Anjomshoa M20
  22. Antonio CAT21, 22
  23. Arabloo J15
  24. Aremu O23
  25. Aryal KK24
  26. Asadialiabadi M25
  27. Atique S26
  28. Ausloos M27
  29. Awasthi A28
  30. Quintanilla BPA29, 30
  31. Azari S15
  32. Badawi A31, 32
  33. Banoub JAM33
  34. Barkercollo SL34
  35. Barnett A35
  36. Bedi N36, 37
  37. Bennett DA38
  38. Bhattacharjee NV356
  39. Bhattacharyya K39, 40
  40. Bhattarai S41
  41. Bhutta ZA42, 43
  42. Bijani A44
  43. Bikbov B45
  44. Britton G46
  45. Burstein R356
  46. Butt ZA47, 48
  47. Cardenas R49
  48. Carvalho F50, 51
  49. Castanedaorjuela CA52, 53
  50. Castro F54
  51. Cerin E35, 55
  52. Chang JC56
  53. Collison ML356
  54. Cooper C57, 58
  55. Cork MA356
  56. Daoud F356
  57. Das Gupta R59, 60
  58. Weaver ND356
  59. De Neve JW61
  60. Deribe K62, 63
  61. Desalegn BB64
  62. Deshpande A356
  63. Desta M65, 66
  64. Dhimal M67
  65. Diaz D66, 68
  66. Dinberu MT69
  67. Djalalinia S70
  68. Dubey M71
  69. Dubljanin E72
  70. Duraes AR73, 74
  71. Dwyerlindgren L75, 356
  72. Earl L356
  73. Kalan ME76
  74. Elkhatib Z77, 78
  75. Eshrati B79, 80
  76. Faramarzi M81
  77. Fareed M82
  78. Faro A83
  79. Fereshtehnejad SM84, 85
  80. Fernandes E86
  81. Filip I87, 88
  82. Fischer F89
  83. Fukumoto T90, 91
  84. Garcia JA92
  85. Gill PS93
  86. Gill TK94
  87. Gona PN95
  88. Gopalani SV96, 97
  89. Grada A98
  90. Guo Y99, 100
  91. Gupta R101, 102
  92. Gupta V103
  93. Hajmirzaian A104, 105
  94. Hajmirzaian A104, 105
  95. Hamadeh RR107
  96. Hamidi S108
  97. Hasan M60
  98. Hassen HY109, 110
  99. Hendrie D111
  100. Henok A109
  101. Henry NJ356
  102. Prado BH75, 356
  103. Herteliu C27
  104. Hole MK112
  105. Hossain N113, 114
  106. Hosseinzadeh M115, 116
  107. Hu G117
  108. Ilesanmi OS118
  109. Irvani SSN119
  110. Islam SMS120, 121
  111. Izadi N122
  112. Jakovljevic M123
  113. Jha RP124
  114. Ji JS125, 126
  115. Jonas JB127, 128
  116. Shushtari ZJ129
  117. Jozwiak JJ130
  118. Kanchan T131
  119. Kasaeian A132, 133
  120. Karyani AK134
  121. Keiyoro PN135
  122. Kesavachandran CN136
  123. Khader YS137
  124. Khafaie MA138
  125. Khan EA139
  126. Khater MM140
  127. Kiadaliri AA141
  128. Kiirithio DN142
  129. Kim YJ143
  130. Kimokoti RW144
  131. Kinyoki DK75, 356
  132. Kisa A145
  133. Kosen S146
  134. Koyanagi A147, 148
  135. Krishan K149
  136. Defo BK150, 151
  137. Kumar M152, 153
  138. Kumar P154
  139. Lami FH155
  140. Lee PH156
  141. Levine AJ356
  142. Li S99
  143. Liao Y157, 158
  144. Lim LL159, 160
  145. Listl S161, 162
  146. Lopez JCF158, 163
  147. Majdan M164
  148. Majdzadeh R165, 166
  149. Majeed A167
  150. Malekzadeh R168, 169
  151. Mansournia MA170
  152. Martinsmelo FR171
  153. Masaka A172
  154. Massenburg BB173
  155. Mayala BK356
  156. Mehta KM174
  157. Mendoza W175
  158. Mensah GA176, 177
  159. Meretoja TJ178, 179
  160. Mestrovic T180, 181
  161. Miller TR111, 182
  162. Mini GK183, 184
  163. Mirrakhimov EM185, 186
  164. Moazen B61, 187
  165. Mohammad DK188, 189
  166. Darwesh AM190
  167. Mohammed S61, 191
  168. Mohebi F192, 193
  169. Mokdad AH75, 356
  170. Monasta L194
  171. Moodley Y195
  172. Moosazadeh M196
  173. Moradi G197, 198
  174. Moradilakeh M25
  175. Moraga P199
  176. Morawska L200
  177. Morrison SD201
  178. Mosser JF356
  179. Mousavi SM202, 203
  180. Murray CJL75, 356
  181. Mustafa G204, 205
  182. Nahvijou A206
  183. Najafi F207
  184. Nangia V208
  185. Ndwandwe DE209
  186. Negoi I210, 211
  187. Negoi RI212, 213
  188. Ngunjiri JW214
  189. Nguyen CT215
  190. Nguyen LH216
  191. Ningrum DNA217, 218
  192. Noubiap JJ177
  193. Shiadeh MN219
  194. Nyasulu PS220
  195. Ogbo FA221
  196. Olagunju AT222, 223
  197. Olusanya BO224
  198. Olusanya JO224
  199. Onwujekwe OE225
  200. Ortegaaltamirano DDV13
  201. Ortizpanozo E226, 227
  202. Overland S228, 229
  203. Mahesh PA230
  204. Pana A27, 231
  205. Pandajonas S232
  206. Pati S233
  207. Patton GC234, 235
  208. Perico N236
  209. Pigott DM75, 356
  210. Pirsaheb M134
  211. Postma MJ237, 238
  212. Pourshams A168
  213. Prakash S239
  214. Puri P240
  215. Qorbani M241
  216. Radfar A242, 243
  217. Rahim F244, 245
  218. Rahimimovaghar V246
  219. Rahman MHU247
  220. Rajati F134
  221. Ranabhat CL248, 249
  222. Rawaf DL250, 251
  223. Rawaf S167, 252
  224. Remuzzi G236
  225. Renzaho AMN253, 254
  226. Rezaei S134
  227. Rezapour A15
  228. Riosgonzalez C255, 256
  229. Roever L257
  230. Ronfani L194
  231. Roshandel G168, 258
  232. Rostami A259
  233. Rubagotti E260, 261
  234. Sadat N356
  235. Sadeghi E134
  236. Safari Y262
  237. Sagar R263
  238. Salam N264
  239. Salamati P246
  240. Salimi Y207, 265
  241. Salimzadeh H168
  242. Samy AM266
  243. Sanabria J267, 268
  244. Santric Milicevic MM269, 270
  245. Sartorius B75, 271
  246. Sathian B272, 273
  247. Sawant AR274, 275
  248. Schaeffer LE356
  249. Schipp MF356
  250. Schwebel DC276
  251. Senbeta AM277
  252. Sepanlou SG168, 169
  253. Shaikh MA278
  254. Shamsbeyranvand M279, 280
  255. Shamsizadeh M281
  256. Sharafi K134
  257. Sharma R282
  258. She J283
  259. Sheikh A284, 285
  260. Shigematsu M286
  261. Siabani S287, 288
  262. Silveira DGA289, 290
  263. Singh JA291, 292
  264. Sinha DN293, 294
  265. Skirbekk V295
  266. Sligar A356
  267. Sobaih BH296, 297
  268. Soofi M265
  269. Soriano JB298, 299
  270. Soyiri IN300, 301
  271. Sreeramareddy CT302
  272. Sudaryanto A303, 304
  273. Babale Sufiyan M305
  274. Sutradhar I60
  275. Sylaja P306
  276. Tabaresseisdedos R308, 309
  277. Tadesse BT310, 311
  278. Temsah MH296, 312
  279. Terkawi AS313, 314
  280. Tessema B315
  281. Tessema ZT316
  282. Thankappan KR317
  283. Topormadry R318, 319
  284. Tovanipalone MR320
  285. Tran BX321
  286. Car LT322
  287. Ullah I323, 324
  288. Uthman OA325
  289. Valdez PR326, 327
  290. Veisani Y328
  291. Violante FS329, 330
  292. Vlassov V331
  293. Vollmer S332, 333
  294. Thu Vu G216
  295. Waheed Y334
  296. Wang YP335
  297. Wilkinson JC356
  298. Winkler AS336, 337
  299. Wolfe CDA338, 339
  300. Yamada T340
  301. Yeshaneh A341
  302. Yip P342, 343
  303. Yisma E344
  304. Yonemoto N345
  305. Younis MZ346, 347
  306. Yousefifard M348
  307. Yu C349, 350
  308. Bin Zaman S351, 352
  309. Zhang J353
  310. Zhang Y354, 355
  311. Zodpey S28
  312. Gakidou E75, 356
  313. Hay SI75, 356

Source: Nature Published:2020


Abstract

Educational attainment is an important social determinant of maternal, newborn, and child health1–3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting4–6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health9–11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but—to our knowledge—no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries12–14. By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations. © 2019, The Author(s).
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