Fig 1.
Food systems framework.
Table 1.
Selected indicators and cutoffs for food systems diagnostics.
Fig 2.
Examples of diagnose thresholds for A) unimodal and B) bimodal indicator frequency distributions.
Density plots of the data distribution for A) vegetable losses (% of domestic supply) and B) prevalence of adult obesity with colors indicating cutoffs for diagnostic thresholds: green indicates an unlikely challenge area, yellow indicates a potential challenge area, and red indicates a likely challenge area. Density plots are similar to histograms but use kernel density smoothing, rather than bins, to present a continuous distribution of the data. The peaks of each plot represent where the highest number of observations exists in the data.
Table 2.
Diagnose indicators linked to potential contributing indicators where data are available in the food systems dashboard.
Fig 3.
Percentage of countries with likely challenge areas by income status.
The color indicates the percentage of countries facing likely challenge areas. Grey indicates <5 countries within an income group have data for the indicator. Full indicator names are listed in Table 1. DE: dietary energy; CR&T: cereals, roots, and tubers; UPF: ultra-processed foods; F&V: fruits and vegetables; LN&S: legumes, nuts, and seeds; IYC: infant and young child; MDD: minimum dietary diversity; WRA: women of reproductive age, GHG: greenhouse gases.
Fig 4.
Food systems diagnosis by country.
18 countries were randomly selected from each income group to display food systems diagnosis patterns across income group. Full indicator names are listed in Table 1. DE: dietary energy; CR&T: cereals, roots, and tubers; UPF: ultra-processed foods; F&V: fruits and vegetables; LN&S: legumes, nuts & seeds; IYC: infant and young child; MDD: minimum dietary diversity; WRA: women of reproductive age, GHG: greenhouse gases.