Artigo em revista científica Q1
The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs
Andreia Pereira (Pereira, A. P.); João Macedo (Macedo, J.); Ana Afonso (Afonso, A.); Raul Laureano (Laureano, R. M. S.); Fernando Buarque de Lima Neto (Neto, F. B. de L.);
Título Revista
Scientific Reports
Ano (publicação definitiva)
2024
Língua
Inglês
País
Reino Unido
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Abstract/Resumo
The success of screening programs depends to a large extent on the adherence of the target population, so it is therefore of fundamental importance to develop computer simulation models that make it possible to understand the factors that correlate with this adherence, as well as to identify population groups with low adherence to define public health strategies that promote behavioral change. Our aim is to demonstrate that it is possible to simulate screening adherence behavior using computer simulations. Three versions of an agent-based model are presented using different methods to determine the agent’s individual decision to adhere to screening: (a) logistic regression; (b) fuzzy logic components and (c) a combination of the previous. All versions were based on real data from 271,867 calls for diabetic retinopathy screening. The results obtained are statistically very close to the real ones, which allows us to conclude that despite having a high degree of abstraction from the real data, the simulations are very valid and useful as a tool to support decisions in health planning, while evaluating multiple scenarios and accounting for emergent behavior.
Agradecimentos/Acknowledgements
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Palavras-chave
Computational simulation,Agent-based models,Logistic regression,Fuzzy logic,Diabetic retinopathy,Screening adherence rate
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Registos de financiamentos
Referência de financiamento Entidade Financiadora
UID/GES/00315/2020 Fundação para a Ciência e a Tecnologia
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia