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The advent of the coronavirus pandemic has sparked the interest in predictive models capable of forecasting virus-spreading, especially for boosting and supporting decision-making processes.
The role of wildlife in emerging and re-emerging zoonoses
R. G. Bengis, F. A. Leighton, J. R. Fischer, M. Artois, T. Morner, and C. M. Tate · 2004
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Analysing twitter and web queries for flu trend prediction
J. C. Santos and S. Matos · 2014
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Mathematical and computational approaches to epidemic modeling: a comprehensive review
W. Duan, Z. Fan, P. Zhang, G. Guo, and X. Qiu · 2015
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Temporal convolutional networks: A unified approach to action segmentation
C. Lea, R. Vidal, A. Reiter, and G. D. Hager · 2016
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Application of a combined model with autoregressive integrated moving average (arima) and generalized regression neural network (grnn) in forecasting hepatitis incidence in heng county, china
W. Wei, J. Jiang, H. Liang, L. Gao, B. Liang, J. Huang, N. Zang, Y. Liao, J. Yu, J. Lai, F. Qin, J. Su, L. Ye, and H. Chen · 2016
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Interpretable machine learning in healthcare
M. A. Ahmad, C. Eckert, and A. Teredesai · 2018
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Incorporating prior domain knowledge into deep neural networks
N. Muralidhar, M. R. Islam, M. Marwah, A. Karpatne, and N. Ramakrishnan · 2018
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Iot-based cloud framework to control ebola virus outbreak
S. Sareen, S. K. Sood, and S. K. Gupta · 2018
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Deep learning for epidemiological predictions
Y. Wu, Y. Yang, H. Nishiura, and M. Saitoh · 2018
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EpiDeep: Exploiting Embeddings for Epidemic Forecasting
B. Adhikari, X. Xu, N. Ramakrishnan, and B. A. Prakash · 2019
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Forecasting dengue epidemics using a hybrid methodology
T. Chakraborty, S. Chattopadhyay, and I. Ghosh · 2019
Cited alongside, same era.
A novel data-driven model for real-time influenza forecasting
S. R. Venna, A. Tavanaei, R. N. Gottumukkala, V. V. Raghavan, A. S. Maida, and S. Nichols · 2019
Cited alongside, same era.
Temporal trends analysis of tuberculosis morbidity in mainland china from 1997 to 2025 using a new sarima-narnnx hybrid model
Y. Wang, C. Xu, S. Zhang, Z. Wang, L. Yang, Y. Zhu, and J. Yuan · 2019
Cited alongside, same era.
Predicting infections using computational intelligence – a systematic review
A. Baldominos, A. Puello, H. Oğul, T. Aşuroğlu, and R. Colomo-Palacios · 2020
Cited alongside, same era.
Cola-GNN: Cross-Location Attention Based Graph Neural Networks for Long-Term ILI Prediction
S. Deng, S. Wang, H. Rangwala, L. Wang, and Y. Ning · 2020
Cited alongside, same era.
Analysis of covid-19 spread in south korea using the sir model with time-dependent parameters and deep learning
H. Jo, H. Son, H. J. Hwang, and S. Y. Jung · 2020
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A comparative study of predictive machine learning algorithms for covid-19 trends and analysis
A. Kunjir, D. Joshi, R. Chadha, T. Wadiwala, and V. Trikha · 2020
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Mobile phone data and covid-19: Missing an opportunity?, 2020
N. Oliver, E. Letouzé, H. Sterly, S. Delataille, M. De Nadai, B. Lepri, R. Lambiotte, R. Benjamins, C. Cattuto, V. Colizza, N. de Cordes, S. P. Fraiberger, T. Koebe, S. Lehmann, J. Murillo, A. Pentland, P. N. Pham, F. Pivetta, A. Ali Salah, J. Saramäki, S. V. Scarpino, M. Tizzoni, S. Verhulst, and P. Vinck · 2020
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Predictions for covid-19 with deep learning models of lstm, gru and bi-lstm
F. Shahid, A. Zameer, and M. Muneeb · 2020
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Time series forecasting of covid-19 using deep learning models: India-usa comparative case study
S. Shastri, K. Singh, S. Kumar, P. Kour, and V. Mansotra · 2020
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A novel adaptive deep learning model of covid-19 with focus on mortality reduction strategies
J. Farooq and M. A. Bazaz · 2020
Cited alongside, same era.
A sidarthe model of covid-19 epidemic in italy
G. Giordano, F. Blanchini, R. Bruno, P. Colaneri, A. Di Filippo, A. Di Matteo, M. Colaneri, et al · 2020
Cited alongside, same era.
Multiple-input deep convolutional neural network model for covid-19 forecasting in china
C. J. Huang, Y. H. Chen, Y. Ma, and P. H. Kuo · 2020
Cited alongside, same era.
Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019
C. J. Huang, Y. Shen, P. H. Kuo, and Y. H. Chen · 2020
Cited alongside, same era.
Variational-lstm autoencoder to forecast the spread of coronavirus across the globe
M. R. Ibrahim, J. Haworth, A. Lipani, N. Aslam, T. Cheng, and N. Christie · 2020
Cited alongside, same era.
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Covid-19 contact tracing and privacy: Studying opinion and preferences, 2020
L. Simko, R. Calo, F. Roesner, and T. Kohno · 2020
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The covid-19 epidemic
T. P. Velavan and C. G. Meyer · 2020
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Tdefsi: Theory-guided deep learning-based epidemic forecasting with synthetic information
L. Wang, J. Chen, and M. Marathe · 2020
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An advanced data-driven hybrid model of sarima-nnnar for tuberculosis incidence time series forecasting in qinghai province, china
Y. Wang, C. Xu, Y. Li, W. Wu, L. Gui, J. Ren, and S. Yao · 2020
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Prediction of the effects of epidemic spreading with graph neural networks
S. Mežnar, N. Lavrač, and B. Škrlj · 2021
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