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Mapping Development and Health Effects of Cooking With Solid Fuels in Low-Income and Middle-Income Countries, 2000–18: A Geospatial Modelling Study Publisher Pubmed



Frostad JJ1 ; Nguyen QP1 ; Baumann MM1 ; Blacker BF1 ; Marczak LB1 ; Deshpande A3 ; Wiens KE4 ; Legrand KE1 ; Johnson KB1 ; Abbasikangevari M6 ; Abdoli A9 ; Abolhassani H10, 20 ; Abreu LG21 ; Abrigo MRM25 Show All Authors
Authors
  1. Frostad JJ1
  2. Nguyen QP1
  3. Baumann MM1
  4. Blacker BF1
  5. Marczak LB1
  6. Deshpande A3
  7. Wiens KE4
  8. Legrand KE1
  9. Johnson KB1
  10. Abbasikangevari M6
  11. Abdoli A9
  12. Abolhassani H10, 20
  13. Abreu LG21
  14. Abrigo MRM25
  15. Aburmeileh NME26
  16. Adekanmbi V27
  17. Agrawal A28, 29
  18. Ahmed MB30, 31
  19. Alaly Z32, 33
  20. Alanezi FM36
  21. Alcalderabanal JE37
  22. Alipour V39, 40
  23. Altirkawi KA46
  24. Alvisguzman N48, 50
  25. Alviszakzuk NJ49, 51
  26. Amegah AK53
  27. Amini S54
  28. Amiri F55
  29. Amugsi DA60
  30. Ancuceanu R61
  31. Andrei CL62
  32. Andrei T64
  33. Antriyandarti E65
  34. Anvari D66, 67
  35. Arabloo J39
  36. Arabzozani M68
  37. Athari SS69
  38. Ausloos M64, 70
  39. Ayano G72, 73
  40. Aynalem YA74
  41. Azari S41
  42. Badiye AD75
  43. Baig AA76
  44. Balakrishnan K77
  45. Banach M78, 79
  46. Basu S80, 82
  47. Bedi N86, 88
  48. Bell ML89
  49. Bennett DA91
  50. Bhattacharyya K95, 96
  51. Bhutta ZA97, 98
  52. Bibi S100
  53. Bohlouli S101
  54. Boufous S102
  55. Bragazzi NL103
  56. Braithwaite D104, 105
  57. Nagaraja SB106
  58. Butt ZA107, 108
  59. Dos Santos ELC109
  60. Car J83, 110
  61. Cardenas R111
  62. Carvalho F112
  63. Castaldellimaia JM113
  64. Castanedaorjuela CA52, 117
  65. Cerin E118, 119
  66. Chattu SK120
  67. Chattu VK121, 122
  68. Chaturvedi P123, 124
  69. Chaturvedi S125
  70. Chen S126
  71. Chu DT127
  72. Chung SC128, 130
  73. Dahlawi SMA34
  74. Damiani G131, 133
  75. Dandona L1, 135, 136
  76. Dandona R1, 2, 135
  77. Darwesh AM137
  78. Das JK99
  79. Dash AP140
  80. Davilacervantes CA141
  81. De Leo D142
  82. De Neve JW126
  83. Demissie GD143
  84. Denovagutierrez E38
  85. Dey S145
  86. Dharmaratne SD1, 2, 146
  87. Dhimal M147
  88. Dhungana GP148
  89. Diaz D149, 150
  90. Dipeolu IO151
  91. Dorostkar F42
  92. Doshmangir L155
  93. Duraes AR157, 159
  94. Edinur HA160
  95. Efendi F161, 163
  96. Tantawi ME164
  97. Eskandarieh S11
  98. Fadhil I165
  99. Fattahi N56
  100. Fauk NK166, 167
  101. Fereshtehnejad SM168, 169
  102. Folayan MO171
  103. Foroutan M172, 173
  104. Fukumoto T175
  105. Gaidhane AM176
  106. Ghafourifard M156
  107. Ghashghaee A178
  108. Gilani SA181, 182
  109. Gill TK183
  110. Goulart AC114, 115
  111. Goulart BNG185
  112. Grada A186
  113. Gubari MIM189
  114. Guido D190, 295
  115. Guo Y191, 194
  116. Gupta RD195, 196, 197, 198
  117. Gupta R195, 196, 197, 198
  118. Gutierrez RA199
  119. Hafezinejad N5, 12
  120. Hamadeh RR200
  121. Hasaballah AI201
  122. Hassanipour S202, 203
  123. Hayat K205, 206
  124. Heibati B207
  125. Heidarisoureshjani R208
  126. Henry NJ92
  127. Herteliu C64, 210
  128. Hosseinzadeh M138, 211
  129. Hsairi M212
  130. Hu G213
  131. Ibitoye SE152
  132. Ilesanmi OS153, 214
  133. Ilic IM216
  134. Ilic MD218
  135. Irvani SSN219
  136. Islam SMS220, 221
  137. Iwu CCD224
  138. Jaafari J204
  139. Jakovljevic M225, 226
  140. Javaheri T187
  141. Jha RP227, 228
  142. Ji JS229
  143. Jonas JB230, 231
  144. Kabir A43
  145. Kabir Z232
  146. Kalhor R179, 180
  147. Kamyari N174
  148. Kanchan T233
  149. Kapil U234
  150. Kapoor N75
  151. Kayode GA237, 238
  152. Keiyoro PN240
  153. Khader YS242
  154. Khalid N243
  155. Khan EA244
  156. Khan M87, 245
  157. Khan MN87, 245
  158. Khatab K193, 246, 247
  159. Khater MM248
  160. Khatib MN177
  161. Khayamzadeh M8, 250
  162. Khubchandani J251
  163. Kim GR252
  164. Kim YJ255
  165. Kimokoti RW256
  166. Kisa A257, 258
  167. Kisa S259
  168. Knibbs LD222
  169. Koul PA260
  170. Koyanagi A261, 262
  171. Krishan K263
  172. Kumar GA135
  173. Kumar M129, 241
  174. Kusuma D84, 264
  175. Vecchia CL132
  176. Lacey B91, 265
  177. Lami FH266
  178. Lan Q267
  179. Lasrado S268
  180. Lauriola P269
  181. Lee PH71
  182. Lewycka S93, 270
  183. Li S192
  184. Machado DB271, 272
  185. Mahasha PW273
  186. Maheri M274
  187. Majeed A83
  188. Maleki A13, 275
  189. Malekzadeh R14, 276
  190. Malta DC22
  191. Mansouri B57
  192. Mansournia MA15
  193. Martinez NM1
  194. Martini S162, 278
  195. Martinsmelo FR279
  196. Mayala BK1, 280
  197. Mehndiratta MM281, 282
  198. Mendoza W283
  199. Menezes RG35
  200. Mengesha EW284
  201. Meretoja TJ285, 286
  202. Mestrovic T1, 287
  203. Michalek IM288
  204. Mirrakhimov EM289, 290
  205. Mirzaei M58
  206. Mirzaei R16, 44
  207. Moazen B126, 291
  208. Mohammad Y47
  209. Mohammadianhafshejani A292
  210. Mohammed S293
  211. Mokdad AH1, 2
  212. Monasta L296
  213. Moradilakeh M45
  214. Moraga P297
  215. Morawska L298
  216. Mosapour A209, 299
  217. Mouodi S300
  218. Khaneghah AM301
  219. Mukhopadhyay S302
  220. Munro SB303
  221. Murray CJL1, 2
  222. Nagarajan AJ304, 305
  223. Naghavi M1, 2
  224. Nair S306, 307
  225. Nangia V308
  226. Nascimento BR23, 24
  227. Nazari J309
  228. Negoi I63, 310
  229. Netsere HB144, 311
  230. Ngunjiri JW312
  231. Nguyen HLT313
  232. Noubiap JJ184
  233. Oancea B314
  234. Ogbo FA315
  235. Oh IH316
  236. Olagunju AT317, 319
  237. Olusanya BO320
  238. Olusanya JO320
  239. Bali AO139
  240. Onwujekwe OE321
  241. Otstavnov N322
  242. Otstavnov SS322, 323
  243. Owolabi MO154, 215
  244. Mahesh PA324
  245. Pandey A134
  246. Park EC252, 325
  247. Park EK252, 253, 325
  248. Patel SK326
  249. Pham HQ327
  250. Pilgrim T328
  251. Pirsaheb M56
  252. Pokhrel KN329
  253. Postma MJ330, 331
  254. Syed ZQ176
  255. Rabiee N332, 333
  256. Radfar A334
  257. Rahim F17
  258. Ur Rahman MH163, 335, 336
  259. Rahman MA163, 335, 336
  260. Rahmani AM337
  261. Ranabhat CL338, 339
  262. Rao SJ340
  263. Rasella D158
  264. Rastogi P341
  265. Rath GK235
  266. Rawaf DL85, 343
  267. Rawaf S83, 344
  268. Rawal L345
  269. Rawassizadeh R188
  270. Renzaho AMN346
  271. Reshmi B347
  272. Rezaei N10, 18, 19, 349
  273. Rezaei N10, 18, 19, 349
  274. Rezapour A39
  275. Rickard J350, 351
  276. Roever L352
  277. Ronfani L296
  278. Rostamian M353
  279. Rubagotti E354, 355
  280. Rwegerera GM356
  281. Saddik B357
  282. Sadeghi E56
  283. Moghaddam SS18
  284. Sagar R236
  285. Sahebkar A358
  286. Sahiledengle B359
  287. Salem MR249
  288. Samy AM360
  289. Santricmilicevic MM216, 217
  290. Saraswathy SYI362
  291. Sathian B363, 364
  292. Sathish T318
  293. Schwebel DC365
  294. Sepanlou SG14, 276
  295. Shahabi S277
  296. Shaheen AA367
  297. Shahid I368
  298. Shaikh MA369
  299. Shalash AS361
  300. Shamsbeyranvand M370
  301. Shannawaz M371
  302. Sharafi K56
  303. Sheikh A81, 372
  304. Sheikhbahaei S5
  305. Shetty RS348
  306. Shiferaw WS74
  307. Shigematsu M373
  308. Shin JI254
  309. Shivakumar KM374
  310. Siabani S59, 375
  311. Siddiqi TJ376
  312. Singh BB223, 377
  313. Singh JA366, 378
  314. Sintayehu Y379
  315. Sorrie MB380
  316. Soyiri IN381
  317. Spurlock EE1, 90
  318. Sreeramareddy CT382
  319. Stockfelt L383
  320. Sufiyan MB294
  321. Abdulkader RS384
  322. Tabaresseisdedos R385, 386
  323. Tabuchi T387
  324. Taherkhani A388
  325. Temsah MH46
  326. Thankappan KR389
  327. Tovanipalone MR116, 390
  328. Traini E239, 296
  329. Ullah S100
  330. Unnikrishnan B342
  331. Upadhyay E391
  332. Tahbaz SV392, 393
  333. Varughese S394
  334. Violante FS395, 396
  335. Vo B397
  336. Vu GT327
  337. Waheed Y398
  338. Wang YP113
  339. Welgan CA1
  340. Werdecker A399
  341. Jabbari SHY392
  342. Yaya S94, 170
  343. Yazdifeyzabadi V400, 401
  344. Yilma MT402
  345. Yonemoto N403, 404
  346. Younis MZ405, 406
  347. Yousefinezhadi T7
  348. Yu C407
  349. Yu Y409
  350. Zaman SB410
  351. Zhang Y411
  352. Zhang ZJ408
  353. Brauer M1, 412
  354. Hay SI1, 2

Source: The Lancet Global Health Published:2022


Abstract

Background: More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. Methods: We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. Findings: Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000–257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. Interpretation: Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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