How Geomapping Reveals the Hidden Impact of Food Deserts on Public Health

We are quick to frame health as a matter of personal responsibility, whether it be eating better, moving more, or making healthier choices. But for many people living in England’s cities, recent evidence has demonstrated that those choices are majorly shaped—or in some cases made impossible—by the environments around them.

More often than not the impact of our local surroundings on our health is overlooked. Public health strategies can be guilty of generalising or applying broad solutions across communities and populations, assuming a one size fits all, but the reality of health is far more complex and circumstantial.

Food Deserts: A Structural Barrier to Health

Food deserts—areas where residents have limited access to affordable and nutritious food—serve as a clear example of how local environments determine health outcomes long before clinical decisions come into play. Recent national findings report that over a million people in the UK live in “food deserts” and in many cases can be labelled “food swamps”, with high numbers of fast-food outlets driving high consumptions of UPFs.

The Urban Food Environment and Widening Inequality

Who is Most Affected? The Hidden Barriers within Food Deserts

This disparity is even more severe for those who are especially vulnerable, such as the elderly, disabled, or those without access to a car. In many cases, reaching a large supermarket requires travel they cannot easily manage, and the additional financial burden of transport becomes yet another barrier to accessing healthy food.

Why Education Alone Isn’t Enough

Recognising that food-related diseases are shaped more by limited access and affordability than by individual choices makes it clear that breaking this cycle requires more than education. It demands systemic intervention grounded in spatial understanding of how environments shape health.

What Geomapping Reveals about Food Deserts

Food deserts don’t form in isolation. They are fundamentally spatial problems consistent with patterns of deprivation and limited transport access. By visualising and analysing data spatially, public health teams can:

• Identify neighbourhoods with limited or sparsely distributed supermarket access.
• Map the density of fast-food outlets in relation to residential areas and schools.
• Overlay data on diet-related illnesses with environmental and socio-economic factors.
• Highlight communities where structural barriers create a high risk for food insecurity.

The Future of GLP-1s: When Biology Meets Environment

As powerful GLP-1 therapies reshape obesity care, success is increasingly defined by postcode rather than just drug efficacy. In areas classified as ‘food deserts’, the supportive environment required to maintain lean mass while losing weight often does not exist.

This leads to a clinical concern known as sarcopenic obesity—where individuals become lighter on the scales but weaker overall due to a lack of affordable high-quality protein and micronutrients. Combined with the fact that geography and ethnicity are emerging as powerful predictors of who receives treatment, these disparities risk widening without environmental intervention.

The Role of adelo: Making Spatial Health Intelligence Actionable

At adelo, we work with spatial health data, combining SDOH, disease prevalence, and geospatial analytics. Our database of 8.5 billion health data points enables a comprehensive analysis of patterns that aren’t visible in traditional public health data.