Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach: The example of Chile.
Gloria A AguayoAnna SchritzMaria Ruiz-CastellLuis VillarroelGonzalo ValdiviaGuy FagherazziDaniel R WitteAndrew LawsonPublished in: PloS one (2020)
The distribution of cardiometabolic risk factors in Chile has a characteristic pattern with a general trend to a north-south gradient. Our approach is reproducible and demonstrates that the Bayesian approach enables the accurate identification of hotspots and mapping of disease, allowing the identification of areas for cardiometabolic prevention.