SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Rôney Castro e Silva(roney@alu.ufc.br)
2 Angelo Brayner(brayner@dc.ufc.br)
3 Miguel Ângelo Nobre e Souza(mans@ufc.br)
4 Ronaldo Menezes(r.menezes@exeter.ac.uk)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Ak, Ç., Chitsazan, A. D., Gönen, M., Etzioni, R., and Grossberg, A. J. (2022). Spatial prediction of COVID-19 pandemic dynamics in the United States. ISPRS International Journal of Geo-Information, 11(9):470.
2 Amaral, O. E. d. (2020). The victory of Jair Bolsonaro according to the Brazilian electoral study of 2018. Brazilian Political Science Review, 14:e0004.
3 Aron, J. and Muellbauer, J. (2022). Excess mortality versus COVID-19 death rates: A spatial analysis of socioeconomic disparities and political allegiance across U.S. States. Review of Income and Wealth, 68(2):348–392.
4 Ayifah, R. N. Y. and Ayifah, E. (2023). COVID-19 lockdown policy and national elections: A quasi-experimental analysis of Ghana’s 2020 election. International Social Science Journal, 73(248):685–704.
5 Barberia, L., Moreira, N. d. P., Carvalho, R. d. J., Oliveira, M. L. C., Rosa, I. S. C., and Zamudio, M. (2022). The relationship between ideology and COVID-19 deaths: what we know and what we still need to know. Brazilian Political Science Review, 16:e0002.
6 Bolognesi, B., Ribeiro, E., and Codato, A. (2020). Esquerda, centro ou direita? Como classificar os partidos no Brasil. Observatório das Eleições.
7 Box, G. E., Jenkins, G. M., Reinsel, G. C., and Ljung, G. M. (2015). Time series analysis: forecasting and control. John Wiley & Sons.
8 Breiman, L. (2001). Random forests. Machine learning, 45:5–32.
9 Cipullo, D. and Le Moglie, M. (2022). To vote, or not to vote? Electoral campaigns and the spread of COVID-19. European Journal of Political Economy, 72:102118.
10 Constantino, S. M., Cooperman, A. D., and Moreira, T. M. (2021). Voting in a global pandemic: assessing dueling influences of COVID-19 on turnout. Social Science Quarterly, 102(5):2210–2235.
11 Desmet, K. and Wacziarg, R. (2022). JUE insight: Understanding spatial variation in COVID-19 across the United States. Journal of urban economics, 127:103332.
12 Fernandes, G. A. d. A. L. and de Almeida Lopes Fernandes, I. F. (2022). Populism and health. An evaluation of the effects of right-wing populism on the COVID-19 pandemic in Brazil. PLoS One, 17(12):e0269349.
13 Hartigan, J. A., Wong, M. A., et al. (1979). A k-means clustering algorithm. Applied statistics, 28(1):100–108.
14 Lima, E. E. C. d., Costa, L. C. C. d., Souza, R. F., Rocha, C. O. d. E., and Ichihara, M. Y. T. (2024). Presidential election results in 2018-2022 and its association with excess mortality during the 2020-2021 COVID-19 pandemic in brazilian municipalities. Cadernos de Saúde Pública, 40:e00194723.
15 Menuzzo, V. A., Santanchè, A., and Gomes-Jr, L. (2021). Evaluating the cohesion of municipalities’ discourse during the COVID-19 pandemic. In Anais do XXXVI Simpósio Brasileiro de Bancos de Dados, pages 295–300. SBC.
16 Rennó, L. R. (2020). The Bolsonaro voter: issue positions and vote choice in the 2018 brazilian presidential elections. Latin American Politics and Society, 62(4):1–23.
17 Rönn, M. M., Menzies, N. A., and Salomon, J. A. (2023). Vaccination and voting patterns in the U.S.: analysis of COVID-19 and flu surveys from 2010 to 2022. American Journal of Preventive Medicine, 65(3):458–466.
18 Sott, M. K., Bender, M. S., and da Silva Baum, K. (2022). COVID-19 outbreak in Brazil: health, social, political, and economic implications. International Journal of Health Services, 52(4):442–454.
19 Tiwari, S., Chanak, P., and Singh, S. K. (2022). A review of the machine learning algorithms for COVID-19 case analysis. IEEE Transactions on Artificial Intelligence, 4(1):44–59.
20 Wu, S. (2023). The spatial data analysis of determinants of U.S. presidential voting results in the rustbelt states during the COVID-19 pandemic. ISPRS International Journal of Geo-Information, 12(6):212.
21 Xavier, D. R., e Silva, E. L., Lara, F. A., e Silva, G. R., Oliveira, M. F., Gurgel, H., and Barcellos, C. (2022). Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study. The Lancet Regional Health–Americas, 10.