Daniel Parra
ABSTRACT
Obesity is a significant public health concern that affects millions of people worldwide. As a complex condition influenced by various factors, modeling the transmission dynamics of obesity is crucial for developing effective interventions and public health policies. In recent years, there has been a growing interest in using epidemiological techniques to model the spread of obesity within populations. However, these techniques have limitations when accurately describing the available data, especially when considering uncertainties and inaccuracies. To address this issue, this paper proposes a novel approach to modeling the evolution of obesity as a transmission disease. Specifically, we use multi-objective dynamic structured grammatical evolution to generate models that accurately describe available data while considering their uncertainties and inaccuracies. Our approach is based on a synthetic dataset that tracks the evolution of a population divided into three groups according to the Body Mass Index of its individuals. Using this technique, we aim to identify lower-impact relationships often overlooked in standard models, which can improve the accuracy and understanding of the transmission dynamics of obesity. Our work aims to support the development of more effective public health policies and interventions for reducing obesity.
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Cross Ref
- Nuno Lourenço, Filipe Assunção, Francisco B Pereira, Ernesto Costa, and Penousal Machado. 2018. Structured grammatical evolution: a dynamic approach. In Handbook of Grammatical Evolution. Springer, 137--161.Google Scholar
- F.-J. Santonja, A. Morales, R.-J. Villanueva, and J.-C. Cortés. 2012. Analysing the effect of public health campaigns on reducing excess weight: A modelling approach for the Spanish Autonomous Region of the Community of Valencia. Evaluation and Program Planning 35, 1 (feb 2012), 34--39. Google ScholarCross Ref
Index Terms
- Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution
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