1. Wojtusiak J, Gewa CA, Pawloski LR. Dietary assessment in Africa: integration with innovative technology. Afr J Food Agric Nutr Diet 11:5629–5645; 2011.
2. Coates J, Colaiezzi B, Bell W, Gibson RS. INDDEX priority technical criteria and review of technology-assisted 24-hour recall software programs. Boston: INDDEX project; 2016.
3. Fiedler JL, Martin-Prevel Y, Moursi M. Relative costs of 24-hour recall and Household Consumption and Expenditures Surveys for nutrition analysis. Food Nutr Bull. 2013;34: 318–330. doi: 10.1177/156482651303400304 24167912
4. Coates J, Colaiezzi B, Fiedler JL, Wirth J, Lividini K, Rogers B. A program needs-driven approach to selecting dietary assessment methods for decision-making in food fortification programs. Food Nutr Bull. 2012;33 (Suppl 3): S146–S156.
5. Cade J, Thompson R, Burley V, Warm D. Development, validation and utilisation of food-frequency questionnaires—a review. Pub Health Nutr. 2002;5: 567–587.
6. Amougou N, Cohen E, Mbala ML, Grosdidier B, Bernard JY, Said-Mohamed R, et al. Development and validation of two food portion photograph books to assess dietary intake among adults and children in Central Africa. Br J Nutr. 2016;115: 895–902. doi: 10.1017/S0007114515005401 26786057
7. Kirkpatrick SI, Potischman N, Dodd KW, Douglass D, Zimmerman TP, Kahle LL, et al. The use of digital images in 24-hour recalls may lead to less misestimation of portion size compared with traditional interviewer-administered recalls. J Nutr. 2016;146: 2567–2573. doi: 10.3945/jn.116.237271 27807039
8. Nelson M, Haraldsdóttir J. Food photographs: practical guidelines II. Development and use of photographic atlases for assessing food portion size. Publ Health Nutr. 1998;4: 231–237.
9. Turconi G, Guarcello M, Gigli Berzolari F, Carolei A, Bazzano R, Roggi C. An evaluation of a colour food photography atlas as a tool for quantifying food portion sizes in epidemiological dietary surveys. Eur J Clin Nutr. 2005;59: 923–931. doi: 10.1038/sj.ejcn.1602162 15928683
10. Lazarte CE, Encinas ME, Alegre C, Granfeldt Y. Validation of digital photographs, as a tool in 24-h recall, for the improvement of dietary assessment among rural populations in developing countries. Nutr J. 2012; 11: 61. doi: 10.1186/1475-2891-11-61 22931128
11. Abu Dhabi Food Control Authority. A photographic atlas of food portions for the Emirate of Abu Dhabi. User's guide. Abu Dhabi: ADFCA; 2014.
12. Lombard M, Steyn N, Burger H-M, Charlton K, Senekal M. A Food Photograph Series for Identifying Portion Sizes of Culturally Specific Dishes in Rural Areas with High Incidence of Oesophageal Cancer. Nutr. 2013; 5: 3118–3130.
13. Bernal-Orozco M, Vizmanos-Lamotte B, Rodriguez-Rocha NP, Macedo-Ojeda G, Orozco-Valerio M, Roville-Sausse F, et al. Validation of a Mexican food photograph album as a tool to visually estimate food amounts in adolescents. Br J Nutr. 2013;109: 944–952. doi: 10.1017/S0007114512002127 23021307
14. Bouchoucha M, Akrout M, Bellali H, Bouchoucha R, Tarhouni F, Mansour AB, Zouari B. Development and validation of a food photography manual, as a tool for estimation of food portion size in epidemiological dietary surveys in Tunisia. Libyan J Med. 2016; 11:1, doi: 10.3402/ljm.v11.32676 27585631
15. Foster E, Adamson AJ, Anderson AS, Barton KL, Wrieden WL. Estimation of portion size in children's dietary assessment: lessons learnt. Eur J Clin Nutr. 2009;63: S45–S49. doi: 10.1038/ejcn.2008.64 19190643
16. Tueni M, Mounayar A, Birlouez-Aragon I. Development and evaluation of a photographic atlas as a tool for dietary assessment studies in Middle East cultures. Pub Health Nutr. 2012;15: 1023–1028.
17. Gibson RS, Ferguson EL. An interactive 24-hour recall for assessing the adequacy of iron and zinc in developing countries. HarvestPlus Technical Monograph 8. Washington DC and Cali: International Food Policy Research Institute (IFPRI) and International Center for Tropical Agriculture (CIAT); 2008.
18. Hotz C, Loechl C, de Brauw A, Eozenou P, Gilligan D, Moursi M, et al. A large-scale intervention to introduce orange sweet potato in rural Mozambique increases vitamin A intakes among children and women. Br J Nutr. 2012;108: 163–176. doi: 10.1017/S0007114511005174 22018075
19. Jackson MD, Motswagole BS, Kwape LD, Kobue-Lekalake RI, Rakgantswana TB, Mongwaketse T, et al. Validation and reproducibility of an FFQ for use among adults in Botwana. Pub Health Nutr. 2012;16: 1995–2004.
20. FAO (Food and Agriculture Organization. Dietary assessment: A resource guide to method selection and application in low resource settings. Rome: FAO; 2018.
21. Ngo J, Gurinovic M, Frost-Andersen L, Serra-Marjam L. How dietary intake methodology is adapted for use in European immigrant population groups—a review. Br J Nutr. 2009;101 (Suppl. 2): S86–S94.
22. Nelson M, Atkinson M, Darbyshire S. Food photography I: the perception of food portion size from photographs. Br J Nutr 72:649–663; 1994. doi: 10.1079/bjn19940069 7826990
23. Daelmans B, Ferguson E, Lutter CK, Singh N, Pachon H, Creed-Kanashiro H, et al. Designing appropriate complementary feeding recommendations: tools for programmatic action. Mat Child Nutr. 2013;9 (Suppl 2): 116–130.
24. Frega R, Guerra Lanfranco J, De Greve S, Bernardini S, Geniez P, Grede N, et al. What linear programming contributes: World Food Programme experience with the "Cost of the Diet" tool. Food Nutr Bull. 2012;33 (Suppl 3): S229–S234.
25. Fahmida U, Santika O, Kolopaking R, Ferguson E. Complementary feeding recommendations based on locally available foods in Indonesia. Food Nutr Bull. 2014;35 (4 Suppl): S174–S179.
26. Skau JKH, Bunthang T, Chamnan C, Wieringa FT, Dijkhuizen MA, Roos N, et al. The use of linear programming to determine whether a formulated complementary food product can ensure adequate nutrients for 6- to 11-month old Cambodian infants. Am J Clin Nutr. 2014;99: 130–138. doi: 10.3945/ajcn.113.073700 24153341