@InProceedings{DuarteMorLuzSanFre:2023:CoEpTi,
author = "Duarte, Fernando Henrique Oliveira and Moreira, Gladston J. P. and
Luz, Eduardo J. S. and Santos, Leonardo B. L. and Freitas, Vander
L. S.",
affiliation = "{Universidade Federal de Ouro Preto (UFOP)} and {Universidade
Federal de Ouro Preto (UFOP)} and {Universidade Federal de Ouro
Preto (UFOP)} and {Centro Nacional de Monitoramento e Alertas de
Desastres Naturais (CEMADEN)} and {Universidade Federal de Ouro
Preto (UFOP)}",
title = "Correlations between epidemiological time series forecasting and
influence regions of Brazilian cities",
booktitle = "Anais...",
year = "2023",
editor = "Vinhas, Lubia (INPE) and Feitosa, Flavia F. (UFABC)",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 24. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The study investigates the correlation between mobility network
centralities, demographic features, and RMSE in COVID-19
prediction models (Graph Convolution Networks - GCN, Prophet, and
Long Short-Term Memory - LSTM) across Brazilian municipalities.
The analysis reveals that betweenness centrality, Degree,
Strength, and Municipal Population exhibit positive correlations
with RMSE, indicating that municipalities with central
positioning, numerous connections, high neighbor flow, and larger
populations negatively influence the predictions.",
conference-location = "On-line",
conference-year = "04 a 06 dez. 2023",
issn = "2179-4847",
language = "en",
ibi = "8JMKD3MGPDW34P/4ADCD28",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/4ADCD28",
targetfile = "Duarte_Correlations.pdf",
urlaccessdate = "28 abr. 2024"
}