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, L., Correia, J., Sequeiros, J., Santos, J. & Jerónimo, C. H. (2022). Spatial-temporal monitoring risk analysis and decision-making of COVID-19 distribution by region. International Journal of Simulation and Process Modelling. 18 (1), 23-35
Exportar Referência (IEEE) 
L. L. Pereira et al.,  "Spatial-temporal monitoring risk analysis and decision-making of COVID-19 distribution by region", in Int. Journal of Simulation and Process Modelling, vol. 18, no. 1, pp. 23-35, 2022
Exportar BibTeX 
@article{pereira2022_1734886278035,
	author = "Pereira, L. and Correia, J. and Sequeiros, J. and Santos, J. and Jerónimo, C. H.",
	title = "Spatial-temporal monitoring risk analysis and decision-making of COVID-19 distribution by region",
	journal = "International Journal of Simulation and Process Modelling",
	year = "2022",
	volume = "18",
	number = "1",
	doi = "10.1504/IJSPM.2022.123472",
	pages = "23-35",
	url = "https://www.inderscienceonline.com/doi/abs/10.1504/IJSPM.2022.123472"
}
Exportar RIS 
TY  - JOUR
TI  - Spatial-temporal monitoring risk analysis and decision-making of COVID-19 distribution by region
T2  - International Journal of Simulation and Process Modelling
VL  - 18
IS  - 1
AU  - Pereira, L.
AU  - Correia, J.
AU  - Sequeiros, J.
AU  - Santos, J.
AU  - Jerónimo, C. H.
PY  - 2022
SP  - 23-35
SN  - 1740-2123
DO  - 10.1504/IJSPM.2022.123472
UR  - https://www.inderscienceonline.com/doi/abs/10.1504/IJSPM.2022.123472
AB  - The purpose of this study is to model, map, and identify why some areas present a completely different dispersion pattern of COVID-19, as well as creating a risk model, composed of variables such as probability, susceptibility, danger, vulnerability, and potential damage, that characterises each of the defined regions. The model is based on a risk conceptual model proposed by Bachmann and Allgöwer in 2001, based on the wildfire terminology, analysing the spatial distribution. Additionally, a model based on population growth, chaotic maps, and turbulent flows is applied in the calculation of the variable probability, based on the work of Bonasera (2020). The results for the Portuguese case are promising, regarding the fitness of the said models and the outcome results of a conceptual model for the epidemiological risk assessment for the spread of coronavirus for each region.
ER  -