The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Measurability of the epidemic reproduction number in data-driven contact networks
Open accessAbstract
Significance: The analysis of real epidemiological data has raised issues of the adequacy of the classic homogeneous modeling framework and quantities, such as the basic reproduction number in real-world situations. Based on high-quality sociodemographic data, here we generate a multiplex network describing the contact pattern of the Italian and Dutch populations. By using a microsimulation approach, we show that, for epidemics spreading on realistic contact networks, it is not possible to define a steady exponential growth phase and a basic reproduction number. We show the operational use of the instantaneous reproduction rate as a good descriptor of the transmission dynamics.
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Cites
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Self-citationSocial Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
Mossong, J., Hens, N., Jit, M., Beutels, P., Auranen, K., Mikolajczyk, R., Massari, M., Salmaso, S., Tomba, G. S., Wallinga, J., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050074 · Cited by 2,900
Ebola virus disease in West Africa—the first 9 months of the epidemic and forward projections
WHO Ebola Response Team (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1411100 · Cited by 1,674
Mathematical Formulation of Multilayer Networks
De Domenico, M., Solé-Ribalta, A., Cozzo, E., Kivelä, M., Moreno, Y., Porter, M. A., Gómez, S., & Arenas, A. (2013) · Physical Review X · doi:10.1103/physrevx.3.041022 · Cited by 930
Self-citationThe RAPIDD Ebola forecasting challenge: synthesis and lessons learnt
Viboud, C., Sun, K., Gaffey, R., Ajelli, M., Fumanelli, L., Merler, S., Zhang, Q., Chowell, G., Simonsen, L., & Vespignani, A. (2018) · Epidemics · doi:10.1016/j.epidem.2017.08.002 · Cited by 251
Self-citationThe estimation of the effective reproductive number from disease outbreak data
(2009) · Mathematical Biosciences and Engineering · doi:10.3934/mbe.2009.6.261 · Cited by 128
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Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
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Self-citationZhang, J., Litvinova, M., Wang, W., Wang, Y., Deng, X., Chen, X., Li, M., Zheng, W., Yi, L., Chen, X., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30230-9 · Cited by 649
Self-citationSerial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions
Ali, S. T., Wang, L., Lau, E. H. Y., Xu, X.-K., Du, Z., Wu, Y., Leung, G. M., & Cowling, B. J. (2020) · Science · doi:10.1126/science.abc9004 · Cited by 331
Coevolution spreading in complex networks
Wang, W., Liu, Q.-H., Liang, J., Hu, Y., & Zhou, T. (2019) · Physics Reports · doi:10.1016/j.physrep.2019.07.001 · Cited by 286
Self-citationMacroscopic patterns of interacting contagions are indistinguishable from social reinforcement
Hébert-Dufresne, L., Scarpino, S. V., & Young, J.-G. (2020) · Nature Physics · doi:10.1038/s41567-020-0791-2 · Cited by 71
Metadata
- Authors
- Liu, Q.-H., Ajelli, M., Aleta, A., Merler, S., Moreno, Y., & Vespignani, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2018-11-21
- Volume
- 115
- Issue
- 50
- Pages
- 12680-12685
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2901908121
- Cited by
- 241
- References
- 6
- FWCI
- 26.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Liu, Q.-H., Ajelli, M., Aleta, A., Merler, S., Moreno, Y., & Vespignani, A. (2018). Measurability of the epidemic reproduction number in data-driven contact networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1811115115
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