Abstract
In this introductory chapter, we start by briefly summarising temporal and adaptive networks, and epidemic process models frequently used in this volume. Then, we introduce a couple of what we think are key studies in the field, which are fundamental for various chapters in this volume. Finally, we give an overview of each chapter and discuss future work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bansal, S., Read, J., Pourbohloul, B., Meyers, L.A.: The dynamic nature of contact networks in infectious disease epidemiology. J. Biol. Dyn. 4, 478–489 (2010)
Barrat, A., Barthélemy, M., Vespignani, A.: Dynamical Processes on Complex Networks. Cambridge University Press, Cambridge, UK (2008)
Barthélemy, M., Barrat, A., Pastor-Satorras, R., Vespignani, A.: Velocity and hierarchical spread of epidemic outbreaks in scale-free networks. Phys. Rev. Lett. 92, 178701 (2004)
Colizza, V., Pastor-Satorras, R., Vespignani, A.: Reaction-diffusion processes and metapopulation models in heterogeneous networks. Nat. Phys. 3, 276–282 (2007)
Dietz, K.: On the transmission dynamics of HIV. Math. Biosci. 90, 397–414 (1988)
Glass, R.J., Glass, L.M., Beyeler, W.E., Min, H.J.: Targeted social distancing designs for pandemic influenza. Emerg. Infect. Dis. 12, 1671–1681 (2006)
Gross, T., Blasius, B.: Adaptive coevolutionary networks: a review. J. R. Soc. Interface 5, 259–271 (2008)
Gross, T., D’Lima, C.J.D., Blasius, B.: Epidemic dynamics on an adaptive network. Phys. Rev. Lett. 96, 208701 (2006)
Gross, T., Sayama, H. (eds.): Adaptive Networks. Springer, Berlin (2009)
Hethcote, H.W.: The mathematics of infectious diseases. SIAM Rev. 42, 599–653 (2000)
Holme, P.: Model versions and fast algorithms for network epidemiology. J. Logist. Eng. Univ. 30, 1–7 (2014)
Holme, P.: Modern temporal network theory: a colloquium. Eur. Phys. J. B 88, 234 (2015)
Holme, P., Liljeros, F.: Birth and death of links control disease spreading in empirical contact networks. Sci. Rep. 4, 4999 (2014)
Holme, P., Saramäki, J.: Temporal networks. Phys. Rep. 519, 97–125 (2012)
Holme, P., Saramäki, J.: Temporal Networks. Springer, Berlin (2013)
Karsai, M., Kivelä, M., Pan, R.K., Kaski, K., Kertész, J., Barabási, A.L., Saramäki, J.: Small but slow world: how network topology and burstiness slow down spreading. Phys. Rev. E 83, 025102(R) (2011)
Keeling, M.J., Eames, K.T.D.: Networks and epidemic models. J. R. Soc. Interface 2, 295–307 (2005)
Kelso, J.K., Milne, G.J., Kelly, H.: Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza. BMC Public Health 9, 117 (2009)
Kretzschmar, M., Morris, M.: Measures of concurrency in networks and the spread of infectious disease. Math. Biosci. 133, 165–195 (1996)
Lloyd, A.L.: Realistic distributions of infectious periods in epidemic models: changing patterns of persistence and dynamics. Theor. Pop. Biol. 60, 59–71 (2001)
Masuda, N., Holme, P.: Predicting and controlling infectious disease epidemics using temporal networks. F1000Prime Rep. 5, 6 (2013)
Masuda, N., Lambiotte, R.: A Guide to Temporal Networks. World Scientific, Singapore (2016)
Newman, M.E.J.: Networks–An Introduction. Oxford University Press, Oxford (2010)
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., Vespignani, A.: Epidemic processes in complex networks. Rev. Mod. Phys. 87, 925–979 (2015)
Reluga, T.C.: Game theory of social distancing in response to an epidemic. PLoS Comput. Biol. 6, e1000793 (2010)
Rocha, L.E.C., Liljeros, F., Holme, P.: Simulated epidemics in an empirical spatiotemporal network of 50,185 sexual contacts. PLoS Comput. Biol. 7, e1001109 (2011)
Rocha, L.E.C., Masuda, N.: Individual-based approach to epidemic processes on arbitrary dynamic contact networks. Sci. Rep. 6, 31456 (2016)
Sayama, H., Pestov, I., Schmidt, J., Bush, B.J., Wong, C., Yamanoi, J., Gross, T.: Modeling complex systems with adaptive networks. Comput. Math. Appl. 65, 1645–1664 (2013)
Sharp, P.M., Hahn, B.H.: Origins of HIV and the AIDS pandemic. Cold Spring Harb. Perspect. Med. 1, a006841 (2011)
Starnini, M., Baronchelli, A., Pastor-Satorras, R.: Modeling human dynamics of face-to-face interaction networks. Phys. Rev. Lett. 110, 168701 (2013)
Valdano, E., Ferreri, L., Poletto, C., Colizza, V.: Analytical computation of the epidemic threshold on temporal networks. Phys. Rev. X 5, 021005 (2015)
Vestergaard, C.L., Génois, M.: Temporal Gillespie algorithm: fast simulation of contagion processes on time-varying networks. PLoS Comput. Biol. 11, e1004579 (2015)
Volz, E., Meyers, L.A.: Susceptible-infected-recovered epidemics in dynamic contact networks. Proc. R. Soc. B 274, 2925–2933 (2007)
Volz, E., Meyers, L.A.: Epidemic thresholds in dynamic contact networks. J. R. Soc. Interface 6, 233–241 (2009)
Watts, C.H., May, R.M.: The influence of concurrent partnerships on the dynamics of HIV/AIDS. Math. Biosci. 108, 89–104 (1992)
Acknowledgements
NM acknowledges the support provided through JST, ERATO, Kawarabayashi Large Graph Project and JST, CREST.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Masuda, N., Holme, P. (2017). Introduction to Temporal Network Epidemiology. In: Masuda, N., Holme, P. (eds) Temporal Network Epidemiology. Theoretical Biology. Springer, Singapore. https://doi.org/10.1007/978-981-10-5287-3_1
Download citation
DOI: https://doi.org/10.1007/978-981-10-5287-3_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5286-6
Online ISBN: 978-981-10-5287-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)