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English Information

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Authors
# Name
1 Artur Torres(arturtorres@proton.me)
2 Gladston Moreira(gladston@ufop.edu.br)

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Reference
# Reference
1 Deng, S., Wang, S., Rangwala, H., Wang, L., and Ning, Y. (2020). Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, CIKM ’20, pages 245–254, New York, NY, USA. Association for Computing Machinery.
2 Guidotti, E. (2022). A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution. Scientific Data, 9(1):112.
3 Guidotti, E. and Ardia, D. (2020). Covid-19 data hub. Journal of Open Source Software, 5(51):2376.
4 Liu, Z., Wan, G., Prakash, B. A., Lau, M. S., and Jin, W. (2024). A review of graph neural networks in epidemic modeling. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD ’24, pages 6577–6587, New York, NY, USA. Association for Computing Machinery.
5 Wahltinez, O., Cheung, A., Alcantara, R., Cheung, D., Daswani, M., Erlinger, A., Lee, M., Yawalkar, P., Le, P., Navarro, O. P., Brenner, M., and Murphy, K. (2022). COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease. Scientific Data, 9(1).
6 Xie, F., Zhang, Z., Li, L., Zhou, B., and Tan, Y. (2022). EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting, pages 469–485.