The Most Infamous Coronavirus Forecast
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-97273-8_4
Reference21 articles.
1. Anastassopoulou, C., Russo, L., Tsakris, A., & Siettos, C. (2020). Data-based analysis, modelling and forecasting of the COVID-19 outbreak. PLOS ONE, 15(3), e0230405. https://doi.org/10.1371/journal.pone.0230405
2. Roosa, K., Lee, Y., Luo, R., Kirpich, A., Rothenberg, R., Hyman, J., Yan, P., & Chowell, G. (2020). Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020. Infectious Disease Modelling, 5, 256. https://doi.org/10.1016/j.idm.2020.02.002
3. Dai, Z., & Locasale, J. W. (2020). Cooperative virus propagation in COVID-19 transmission. medRxiv. https://doi.org/10.1101/2020.05.05.20092361
4. Petropoulos, F., & Makridakis, S. (2020). Forecasting the novel coronavirus COVID-19. PLoS ONE, 15(3), e0231236. https://doi.org/10.1371/journal.pone.0231236
5. Perc, M., Gorišek Miksić, N., Slavinec, M., & Stožer, A. (2020). Forecasting COVID-19. Frontiers in Physics, 8, 127. https://doi.org/10.3389/fphy.2020.00127
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