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To present a tool and examine the minimum cost of a healthy and diverse diet that meets the daily requirements of essential nutrients for the people of India, using interactive web-based tools.
Design:
Linear-programming algorithms were adapted into two web-based tools: a Food Optimisation for Population (FOP) tool and a Diet Optimisation Tool (DOT). The FOP optimises daily food choices at a population level, considering local food consumption patterns. The DOT focuses on household or individual food selection.
Setting:
India, with consideration of locally produced and consumed foods.
Participants:
The two optimisation tools are demonstrated for the state of Bihar: the FOP tool at the population level, exemplified by diet optimisation for children aged 1–3 years, and DOT at the household level, demonstrated through diet optimisation for a household of four members.
Results:
Both tools provide cost-effective, optimised food plans, respecting cultural preferences. Based on food prices from June 2022, the FOP tool generated optimised diets for 1–3-year-old Bihari children priced at INR 26·8 (USD 0·32 converted as of January 2024 rate)/child/day. By applying a milk subsidy, this cost could drop to INR 23·7 (USD 0·28). The DOT was able to formulate a vegetarian diet for a family of four at INR 204 (USD 2·45)/day.
Conclusions:
These web-based tools offer diet plans optimised to meet macro- and micronutrient requirements at population and/or individual/household levels, at minimum cost. This tool can be used by policymakers to design food-focused strategies that can meet nutritional needs at local price points, while considering food preferences.
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