Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pereira, A. P., Macedo, J., Afonso, A., Laureano, R. M. S. & Neto, F. B. de L. (2024). The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs. Scientific Reports. 14 (1)
Exportar Referência (IEEE) 
A. M. Pereira et al.,  "The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs", in Scientific Reports, vol. 14, no. 1, 2024
Exportar BibTeX 
@article{pereira2024_1721975095267,
	author = "Pereira, A. P. and Macedo, J. and Afonso, A. and Laureano, R. M. S. and Neto, F. B. de L.",
	title = "The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs",
	journal = "Scientific Reports",
	year = "2024",
	volume = "14",
	number = "1",
	doi = "10.1038/s41598-024-55517-4",
	url = "https://www.nature.com/srep/"
}
Exportar RIS 
TY  - JOUR
TI  - The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs
T2  - Scientific Reports
VL  - 14
IS  - 1
AU  - Pereira, A. P.
AU  - Macedo, J.
AU  - Afonso, A.
AU  - Laureano, R. M. S.
AU  - Neto, F. B. de L.
PY  - 2024
SN  - 2045-2322
DO  - 10.1038/s41598-024-55517-4
UR  - https://www.nature.com/srep/
AB  - 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.
ER  -