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Dynamics and Control of Diseases in Networks with Community Structure
Open accessAbstract
The dynamics of infectious diseases spread via direct person-to-person transmission (such as influenza, smallpox, HIV/AIDS, etc.) depends on the underlying host contact network. Human contact networks exhibit strong community structure. Understanding how such community structure affects epidemics may provide insights for preventing the spread of disease between communities by changing the structure of the contact network through pharmaceutical or non-pharmaceutical interventions. We use empirical and simulated networks to investigate the spread of disease in networks with community structure. We find that community structure has a major impact on disease dynamics, and we show that in networks with strong community structure, immunization interventions targeted at individuals bridging communities are more effective than those simply targeting highly connected individuals. Because the structure of relevant contact networks is generally not known, and vaccine supply is often limited, there is great need for efficient vaccination algorithms that do not require full knowledge of the network. We developed an algorithm that acts only on locally available network information and is able to quickly identify targets for successful immunization intervention. The algorithm generally outperforms existing algorithms when vaccine supply is limited, particularly in networks with strong community structure. Understanding the spread of infectious diseases and designing optimal control strategies is a major goal of public health. Social networks show marked patterns of community structure, and our results, based on empirical and simulated data, demonstrate that community structure strongly affects disease dynamics. These results have implications for the design of control strategies.
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“When a population is organised in this fashion the capacity of epidemics to spread is reduced (Keeling 1999; Salathe ´ & Jones 2010).”
From Parasite-stress promotes in-group assortative sociality: The cases of strong family ties and heightened religiosity (2012) · cites this paper as Salathé & Jones 2010
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Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Social Network Analysis: Methods and Applications
Wasserman, S. S., & Faust, K. (1994) · Cited by 18,005
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931
Infectious Diseases of Humans: Dynamics and Control
(1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-117-2-174_4 · Cited by 7,819
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Error and attack tolerance of complex networksPreprint
Albert, R., Jeong, H., & Barabási, A.-Ĺ. (2000) · Cited by 6,554
Epidemic Spreading in Scale-Free Networks
Pastor‐Satorras, R., & Vespignani, A. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.3200 · Cited by 5,785
Uncovering the overlapping community structure of complex networks in nature and society
Palla, G., Derényi, I., Farkas, I., & Vicsek, T. (2005) · Nature · doi:10.1038/nature03607 · Cited by 5,373
Spread of epidemic disease on networks
Newman, M. E. J. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.66.016128 · Cited by 3,240
Borgatti, S. P. (2005) · Social Networks · doi:10.1016/j.socnet.2004.11.008 · Cited by 3,191
Social 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
Modeling Infectious Diseases in Humans and Animals
Keeling, M. J., & Rohani, P. (2011) · Princeton University Press eBooks · doi:10.2307/j.ctvcm4gk0 · Cited by 2,771
A measure of betweenness centrality based on random walks
Newman, M. E. J. (2005) · Social Networks · doi:10.1016/j.socnet.2004.11.009 · Cited by 2,562
Superspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514
Strategies for mitigating an influenza pandemic
Ferguson, N. M., Cummings, D. A. T., Fraser, C., Cajka, J. C., Cooley, P. C., & Burke, D. S. (2006) · Nature · doi:10.1038/nature04795 · Cited by 2,203
Hall, A. J. (1992) · Transactions of the Royal Society of Tropical Medicine and Hygiene · doi:10.1016/0035-9203(92)90276-i · Cited by 2,146
Statistical mechanics of community detection
Reichardt, J., & Bornholdt, S. (2006) · Physical Review E · doi:10.1103/physreve.74.016110 · Cited by 2,048
Class and Committees in a Norwegian Island Parish
Barnes, J. A. (1954) · Human Relations · doi:10.1177/001872675400700102 · Cited by 1,827
Strategies for containing an emerging influenza pandemic in Southeast Asia
Ferguson, N. M., Cummings, D. A. T., Cauchemez, S., Fraser, C., Riley, S., Meeyai, A. C., Iamsirithaworn, S., & Burke, D. S. (2005) · Nature · doi:10.1038/nature04017 · Cited by 1,820
Conflict and the Web of Group-Affiliations
Illing, H. A., & Simmel, G. (1955) · The Journal of Criminal Law Criminology and Police Science · doi:10.2307/1139856 · Cited by 1,753
Metapopulation dynamics: brief history and conceptual domain
Hanski, I., & Gilpin, M. E. (1991) · Biological Journal of the Linnean Society · doi:10.1111/j.1095-8312.1991.tb00548.x · Cited by 1,746
Borgatti, S. P. (2005) · Cited by 1,734
Quantifying social group evolution
Palla, G., Barabási, A.-Ĺ., & Vicsek, T. (2007) · Nature · doi:10.1038/nature05670 · Cited by 1,681
Transmission Dynamics and Control of Severe Acute Respiratory Syndrome
Lipsitch, M., Cohen, T., Cooper, B. S., Robins, J. M., Ma, S., James, L., Gopalakrishna, G., Chew, S. K., Tan, C. C., Samore, M. H., et al. (2003) · Science · doi:10.1126/science.1086616 · Cited by 1,485
Wallinga, J. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh255 · Cited by 1,214
Containing Pandemic Influenza at the Source
Longini, I. M., Nizam, A., Xu, S., Ungchusak, K., Hanshaoworakul, W., Cummings, D. A. T., & Halloran, M. E. (2005) · Science · doi:10.1126/science.1115717 · Cited by 1,177
Efficient Immunization Strategies for Computer Networks and Populations
Reuven Cohen, C., Havlin, S., & ben‐Avraham, D. (2003) · Physical Review Letters · doi:10.1103/physrevlett.91.247901 · Cited by 1,175
Dispersion and Population Interactions
Levin, S. A. (1974) · The American Naturalist · doi:10.1086/282900 · Cited by 1,166
Transmissibility of 1918 pandemic influenza
Mills, C. E., Robins, J. M., & Lipsitch, M. (2004) · Nature · doi:10.1038/nature03063 · Cited by 796
Mathematical Epidemiology of Infectious Diseases
Diekmann, O. (1996) · Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands · Cited by 713
Network theory and SARS: predicting outbreak diversity
Meyers, L. A., Pourbohloul, B., Newman, M. E. J., Skowronski, D. M., & Brunham, R. C. (2005) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2004.07.026 · Cited by 705
How Viruses Spread Among Computers and People
Lloyd, A. L., & May, R. M. (2001) · Science · doi:10.1126/science.1061076 · Cited by 661
Modeling targeted layered containment of an influenza pandemic in the United States
Halloran, M. E., Ferguson, N. M., Eubank, S., Longini, I. M., Cummings, D. A. T., Lewis, B. L., Xu, S., Fraser, C., Vullikanti, A. K. S., Germann, T. C., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706849105 · Cited by 660
Anderson, R. M., Medley, G. F., May, R. M., & JOHNSON, A. M. (1986) · Mathematical Medicine and Biology A Journal of the IMA · doi:10.1093/imammb/3.4.229 · Cited by 505
ESTIMATING HOUSEHOLD AND COMMUNITY TRANSMISSION PARAMETERS FOR INFLUENZA
Longini, I. M., Koopman, J. S., Monto, A. S., & Fox, J. P. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113356 · Cited by 357
Network structure and the biology of populations
May, R. M. (2006) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.03.013 · Cited by 322
Finding a Better Immunization Strategy
Chen, Y., Paul, G., Havlin, S., Liljeros, F., & Stanley, E. (2008) · Physical Review Letters · doi:10.1103/physrevlett.101.058701 · Cited by 295
Multiscale, resurgent epidemics in a hierarchical metapopulation model
Watts, D. J., Muhamad, R., Medina, D. C., & Dodds, P. S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501226102 · Cited by 290
Krivitsky, P. N., Handcock, M. S., Raftery, A. E., & Hoff, P. D. (2009) · Social Networks · doi:10.1016/j.socnet.2009.04.001 · Cited by 287
Edmunds, W. J., O'Callaghan, C. J., & Nokes, D. J. (1997) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1997.0131 · Cited by 275
Low-coverage vaccination strategies for the conservation of endangered species
Haydon, D. T., Randall, D. A., Matthews, L., Knobel, D. L., Tallents, L., Gravenor, M. B., Williams, S. D., Pollinger, J. P., Cleaveland, S., Woolhouse, M. E. J., et al. (2006) · Nature · doi:10.1038/nature05177 · Cited by 241
Epidemic spreading in community networks
Liu, Z., & Hu, B. (2005) · Europhysics Letters (EPL) · doi:10.1209/epl/i2004-10550-5 · Cited by 240
Bridge populations in the spread of HIV/AIDS in Thailand
Morris, M., Podhisita, C., Wawer, M. J., & Handcock, M. S. (1996) · AIDS · doi:10.1097/00002030-199609000-00013 · Cited by 218
A structured overview of 50 years of small-world research
Schnettler, S. (2009) · Social Networks · doi:10.1016/j.socnet.2008.12.004 · Cited by 186
Spread of infectious disease through clustered populations
Miller, J. C. (2009) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0524 · Cited by 186
Epidemiology and Social Networks:
Morris, M. M. (1993) · Sociological Methods & Research · doi:10.1177/0049124193022001005 · Cited by 185
Smallpox transmission and control: Spatial dynamics in Great Britain
Riley, S., & Ferguson, N. M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510873103 · Cited by 135
Modelling disease spread through random and regular contacts in clustered populations
Eames, K. T. D. (2007) · Theoretical Population Biology · doi:10.1016/j.tpb.2007.09.007 · Cited by 122
Models of epidemics: when contact repetition and clustering should be included
Smieszek, T., Fiebig, L., & Scholz, R. W. (2009) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-6-11 · Cited by 120
A Generalized Stochastic Model for the Analysis of Infectious Disease Final Size Data
Addy, C. L., Longini, I. M., & Haber, M. (1991) · Biometrics · doi:10.2307/2532652 · Cited by 117
Epidemics on Random Graphs with Tunable Clustering
Britton, T., Deijfen, M., Lagerås, A. N., & Lindholm, M. (2008) · Journal of Applied Probability · doi:10.1239/jap/1222441827 · Cited by 97
A Motif-Based Approach to Network Epidemics
House, T., Davies, G., Danon, L., & Keeling, M. J. (2009) · Bulletin of Mathematical Biology · doi:10.1007/s11538-009-9420-z · Cited by 69
Threshold parameters for a model of epidemic spread among households and workplaces
Pellis, L., Ferguson, N. M., & Fraser, C. (2009) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0493 · Cited by 56
SARS: a case study in emerging infections.
Mclean, A., May, R. M., Pattison, J. A., & Weiss, R. (2005) · Cited by 54
Community Structure in Online Collegiate Social NetworksPreprint
Traud, A. L., Kelsic, E. D., Mucha, P. J., & Porter, M. A. (2008) · arXiv (Cornell University) · Cited by 51
McLean, A. R., May, R. M., Pattison, J., & Weiss, R. A. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198568193.001.0001 · Cited by 40
Epidemiology and Social Networks: Modeling Structured Diffusion
Morris, M. (1994) · Sage eBooks · doi:10.4135/9781452243528.n2 · Cited by 28
Epidemics on Random Graphs with Tunable Clustering
Britton, T., Deijfen, M., Lagerås, A. N., & Lindholm, M. (2008) · Journal of Applied Probability · doi:10.1017/s002190020000468x · Cited by 19
Ramachandran, D., Luo, C. N., Tony, S., & Clark, J. W. (2009) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-6-15 · Cited by 15
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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
Modelling the influence of human behaviour on the spread of infectious diseases: a review
Funk, S., Salathé, M., & Jansen, V. A. A. (2010) · Journal of The Royal Society Interface · doi:10.1098/rsif.2010.0142 · Cited by 1,322
Self-citationVital nodes identification in complex networks
Lü, L., Chen, D., Ren, X.-L., Zhang, Q.-M., Zhang, Y., & Zhou, T. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.06.007 · Cited by 1,310
Statistical physics of vaccination
Wang, Z., Bauch, C. T., Bhattacharyya, S., d’Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 967
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Metadata
- Authors
- Salathé, M., & Jones, J. H.
- Affiliations
- Stanford University (US)
- Corresponding author
- Salathé, Marcel
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-04-08
- Volume
- 6
- Issue
- 4
- Pages
- e1000736
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC2851561
- OpenAlex
- W2010965902
- Cited by
- 586
- References
- 61
- Citations by year
- 2026: 18 · 2025: 27 · 2024: 34 · 2023: 32 · 2022: 33 · 2021: 50 · 2020: 42 · 2019: 36 · 2018: 53 · 2017: 33 · 2016: 41 · 2015: 44 · 2014: 39 · 2013: 37 · 2012: 36
- FWCI
- 23.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Funders
- National Science Foundation (0619926)
- National Institutes of Health
- National Institute of General Medical Sciences (GM28016, R01GM028016)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K01HD051494, K01HD51494)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- disease transmission, community structure, contact networks, epidemic dynamics, vaccination strategies, bridge nodes, limited vaccine supply, disease control, social networks
- MeSH terms
- Algorithms, Computer Simulation, Disease Outbreaks, Humans, Residence Characteristics, Stochastic Processes, Vaccination, Incidence, Databases, Factual, Community-Acquired Infections, Disease Transmission, Infectious, Computational Biology, Host-Pathogen Interactions
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