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Using the Micronutrient Intervention Modeling tool and data for Cameroon, we predict the impacts and costs of alternative VA intervention programs, identify the least\u2010cost strategy for meeting targets nationally, and compare it to a business\u2010as\u2010usual (BAU) strategy over 10 years. BAU programs effectively cover \u223c12.8 million (m) child\u2010years (CY) and cost \u223c$30.1 m; \u223cUS$2.34 per CY effectively covered. Improving the VA\u2010fortified oil program, implementing a VA\u2010fortified bouillon cube program, and periodic VA supplements (VAS) in the North macroregion for 3 years effectively cover \u223c13.1 m CY at a cost of \u223cUS$9.5 m, or \u223cUS$0.71 per CY effectively covered. The tool then identifies a sequence of subnational policy choices leading from the BAU toward the more efficient strategy, while addressing VA\u2010attributable mortality concerns. By year 4, fortification programs are predicted to eliminate inadequate VA intake in the South and Cities macroregions, but not the North, where VAS should continue until additional delivery platforms are implemented. This modeling approach offers a concrete example of the strategic use of data to follow the Global Alliance for VA framework and do so efficiently.<\/jats:p>","DOI":"10.1111\/nyas.14275","type":"journal-article","created":{"date-parts":[[2019,12,4]],"date-time":"2019-12-04T07:05:31Z","timestamp":1575443131000},"page":"161-180","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Strategies to achieve adequate vitamin A intake for young children: options for Cameroon"],"prefix":"10.1111","volume":"1465","author":[{"given":"Stephen A.","family":"Vosti","sequence":"first","affiliation":[{"name":"Department of Agricultural and Resource Economics University of California, Davis  Davis California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin","family":"Kagin","sequence":"additional","affiliation":[{"name":"Kagin's Consulting  Vacaville California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reina","family":"Engle\u2010Stone","sequence":"additional","affiliation":[{"name":"Department of Nutrition University of California, Davis  Davis California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanqi","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Nutrition University of California, Davis  Davis California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ann","family":"Tarini","sequence":"additional","affiliation":[{"name":"Ann Tarini International Public Health Consulting  Montreal Quebec Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrienne","family":"Clermont","sequence":"additional","affiliation":[{"name":"Johns Hopkins Bloomberg School of Public Health  Baltimore Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jules Guintang","family":"Assiene","sequence":"additional","affiliation":[{"name":"Helen Keller International  Yaound\u00e9 Cameroon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Nankap","sequence":"additional","affiliation":[{"name":"UNICEF  Yaound\u00e9 Cameroon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth H.","family":"Brown","sequence":"additional","affiliation":[{"name":"Department of Nutrition University of California, Davis  Davis California"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,12,3]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2214-109X(15)00039-X"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)31593-8"},{"key":"e_1_2_9_4_1","unstructured":"Beaton G. 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