Complex Network Approaches for Epidemic Modeling: A Case Study of COVID-19-Reference-Cited by-同舟云学术

Complex Network Approaches for Epidemic Modeling: A Case Study of COVID-19

Published:2024 Issue: Volume: Page:183-206
ISSN:2164-3679
Container-title:Modeling and Simulation in Science, Engineering and Technology
language:en
Short-container-title:

Author:

Srivastav Akhil Kumar,Anam Vizda,Blasco-Aguado Rubén,Estadilla Carlo Delfin S.,Guerrero Bruno V.,Kebir Amira,Mateus Luís,Naffeti Bechir,Saldaña Fernando,Steindorf Vanessa,Stollenwerk Nico

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56794-0_8

Reference35 articles.

1. Aguiar, M., Ortuondo, E.M., Bidaurrazaga Van-Dierdonck, J., Mar, J., Stollenwerk, N.: Modelling COVID 19 in the Basque Country from introduction to control measure response. Sci. Rep. 10(1), 17306 (2020). https://doi.org/10.1038/s41598-020-74386-1, https://www.nature.com/articles/s41598-020-74386-1

2. Aguiar, M., Van-Dierdonck, J.B., Mar, J., Cusimano, N., Knopoff, D., Anam, V., Stollenwerk, N.: Critical fluctuations in epidemic models explain COVID-19 post-lockdown dynamics. Sci. Rep. 11(1), 13839 (2021). https://doi.org/10.1038/s41598-021-93366-7, https://www.nature.com/articles/s41598-021-93366-7

3. Aguiar, M., Van-Dierdonck, J.B., Stollenwerk, N.: Reproduction ratio and growth rates: measures for an unfolding pandemic. PLOS ONE 15(7), e0236620 (2020). https://doi.org/10.1371/journal.pone.0236620

4. Albert, R., Jeong, H., Barabási, A.L.: Error and attack tolerance of complex networks. Nature 406(6794), 378–382 (2000). https://doi.org/10.1038/35019019, https://www.nature.com/articles/35019019

5. Barabási, A.L., Pósfai, M.: Network Science. Cambridge University Press, Cambridge (2016)