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 organized in assortative sociality, the capacity of epidemics to spread is reduced.
“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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Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
Social Network Analysis: Methods and Applications
Wasserman, S. S., & Faust, K. (1994) · Cited by 18,005 · see citing works
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062 · see citing works
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 · see citing works
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 · see citing works
Infectious Diseases of Humans: Dynamics and Control
(1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-117-2-174_4 · Cited by 7,818 · see citing works
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534 · see citing works
Error and attack tolerance of complex networksPreprint
Albert, R., Jeong, H., & Barabási, A.-Ĺ. (2000) · Cited by 6,554 · see citing works
Epidemic Spreading in Scale-Free Networks
Pastor‐Satorras, R., & Vespignani, A. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.3200 · Cited by 5,773 · see citing works
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 · see citing works
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 3,232 · see citing works
Borgatti, S. P. (2005) · Social Networks · doi:10.1016/j.socnet.2004.11.008 · Cited by 3,191 · see citing works
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 · see citing works
Modeling Infectious Diseases in Humans and Animals
Keeling, M. J., & Rohani, P. (2011) · Princeton University Press eBooks · doi:10.2307/j.ctvcm4gk0 · Cited by 2,882 · see citing works
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 · see citing works
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 2,471 · see citing works
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 2,195 · see citing works
Hall, A. J. (1992) · Transactions of the Royal Society of Tropical Medicine and Hygiene · doi:10.1016/0035-9203(92)90276-i · Cited by 2,179 · see citing works
Statistical mechanics of community detection
Reichardt, J., & Bornholdt, S. (2006) · Physical Review E · doi:10.1103/physreve.74.016110 · Cited by 2,048 · see citing works
Class and Committees in a Norwegian Island Parish
Barnes, J. A. (1954) · Human Relations · doi:10.1177/001872675400700102 · Cited by 1,827 · see citing works
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 1,788 · see citing works
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 1,756 · see citing works
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 · see citing works
Borgatti, S. P. (2005) · Cited by 1,732 · see citing works
Quantifying social group evolution
Palla, G., Barabási, A.-Ĺ., & Vicsek, T. (2007) · Nature · doi:10.1038/nature05670 · Cited by 1,679 · see citing works
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 1,467 · see citing works
Wallinga, J. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh255 · Cited by 1,208 · see citing works
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 · see citing works
Dispersion and Population Interactions
Levin, S. A. (1974) · The American Naturalist · doi:10.1086/282900 · Cited by 1,166 · see citing works
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 1,158 · see citing works
Transmissibility of 1918 pandemic influenza
Mills, C. E., Robins, J. M., & Lipsitch, M. (2004) · Nature · doi:10.1038/nature03063 · Cited by 796 · see citing works
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 722 · see citing works
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 · see citing works
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 662 · see citing works
How Viruses Spread Among Computers and People
Lloyd, A. L., & May, R. M. (2001) · Science · doi:10.1126/science.1061076 · Cited by 661 · see citing works
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 499 · see citing works
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 355 · see citing works
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 320 · see citing works
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 299 · see citing works
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 293 · see citing works
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 277 · see citing works
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 276 · see citing works
Epidemic spreading in community networks
Liu, Z., & Hu, B. (2005) · Europhysics Letters (EPL) · doi:10.1209/epl/i2004-10550-5 · Cited by 240 · see citing works
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 236 · see citing works
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 217 · see citing works
Epidemiology and Social Networks:
Morris, M. M. (1993) · Sociological Methods & Research · doi:10.1177/0049124193022001005 · Cited by 185 · see citing works
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 182 · see citing works
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 177 · see citing works
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 137 · see citing works
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 125 · see citing works
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 123 · see citing works
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 116 · see citing works
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 · see citing works
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 74 · see citing works
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 · see citing works
SARS: a case study in emerging infections.
Mclean, A., May, R. M., Pattison, J. A., & Weiss, R. (2005) · Cited by 54 · see citing works
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 48 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Flagged first, then by citations
1 of the 61 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- [4]Anderson RM 1999 Transmission dynamics of sexually transmitted infections. Holmes K 25 37 Sexually Transmitted Diseases: McGraw-Hill
- [28]Blau P Inequality and Heterogeneity New York The Free Press
Cited by
Sorted by citations
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 · see citing works
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 · see citing works
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 1,286 · see citing works
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 954 · see citing works
Self-citationA high-resolution human contact network for infectious disease transmission
Salathé, M., Kazandjieva, M. A., Lee, J. W., Levis, P. A., Feldman, M. W., & Jones, J. H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009094108 · Cited by 740 · see citing works
Self-citationCoupled disease–behavior dynamics on complex networks: A review
Wang, Z., Andrews, M. A., Wu, Z.-X., Wang, L., & Bauch, C. T. (2015) · Physics of Life Reviews · doi:10.1016/j.plrev.2015.07.006 · Cited by 551 · see citing works
Fincher, C. L., & Thornhill, R. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000021 · Cited by 526 · see citing works
Networks and the Epidemiology of Infectious Disease
Danon, L., Ford, A. P., House, T., Jewell, C., Keeling, M. J., Roberts, G. O., Ross, J. V., & Vernon, M. C. (2011) · Interdisciplinary Perspectives on Infectious Diseases · doi:10.48550/arxiv.1011.5950 · Cited by 457 · see citing works
The problem of pattern and scale in ecology: what have we learned in 20 years?
Chave, J. (2013) · Ecology Letters · doi:10.1111/ele.12048 · Cited by 904 · see citing works
Modularity and stability in ecological communities
Grilli, J., Rogers, T., & Stefano Allesina, A. (2016) · Nature Communications · doi:10.1038/ncomms12031 · Cited by 410 · see citing works
Segregated Systems of Human Brain Networks
Wig, G. S. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.09.006 · Cited by 351 · see citing works
Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts
Rocha, L. E. C., Liljeros, F., & Holme, P. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001109 · Cited by 328 · see citing works
Social network plasticity decreases disease transmission in a eusocial insect
Stroeymeyt, N., Grasse, A., Crespi, A., Mersch, D., Cremer, S., & Keller, L. (2018) · Science · doi:10.1126/science.aat4793 · Cited by 282 · see citing works
Social Immunity: Emergence and Evolution of Colony-Level Disease Protection
Cremer, S., Pull, C. D., & Fürst, M. A. (2017) · Annual Review of Entomology · doi:10.1146/annurev-ento-020117-043110 · Cited by 307 · see citing works
Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks
Scholtes, I., Wider, N., Pfitzner, R., Garas, A., Tessone, C. J., & Schweitzer, F. (2014) · Nature Communications · doi:10.1038/ncomms6024 · Cited by 304 · see citing works
Heterogeneity in pathogen transmission: mechanisms and methodology
VanderWaal, K., & Ezenwa, V. (2016) · Functional Ecology · doi:10.1111/1365-2435.12645 · Cited by 234 · see citing works
Temporal dynamics and network analysis
Blonder, B., Wey, T. W., Dornhaus, A., James, R., & Sih, A. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00236.x · Cited by 254 · see citing works
New technologies in predicting, preventing and controlling emerging infectious diseases
Christaki, E. (2015) · Virulence · doi:10.1080/21505594.2015.1040975 · Cited by 226 · see citing works
Génois, M., Vestergaard, C. L., Fournet, J., Panisson, A., BONMARIN, I., & Barrat, A. (2015) · Network Science · doi:10.1017/nws.2015.10 · Cited by 225 · see citing works
Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian
Schaub, M. T., Benson, A. R., Horn, P., Lippner, G., & Jadbabaie, A. (2020) · SIAM Review · doi:10.1137/18m1201019 · Cited by 224 · see citing works
A review and agenda for integrated disease models including social and behavioural factors
Bedson, J., Skrip, L., Pedi, D., Abramowitz, S. A., Carter, S., Jalloh, M. F., Funk, S., Gobat, N., Giles‐Vernick, T., Chowell, G., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01136-2 · Cited by 224 · see citing works
Community structure and the spread of infectious disease in primate social networks
Griffin, R. H., & Nunn, C. L. (2011) · Evolutionary Ecology · doi:10.1007/s10682-011-9526-2 · Cited by 208 · see citing works
VanderWaal, K. L., Atwill, E. R., Isbell, L. A., & McCowan, B. (2013) · Journal of Animal Ecology · doi:10.1111/1365-2656.12137 · Cited by 207 · see citing works
Willem, L., Verelst, F., Bilcke, J., Hens, N., & Beutels, P. (2017) · BMC Infectious Diseases · doi:10.1186/s12879-017-2699-8 · Cited by 204 · see citing works
Using contact networks to explore mechanisms of parasite transmission in wildlife
White, L. A., Forester, J. D., & Craft, M. E. (2015) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12236 · Cited by 191 · see citing works
The impact of the built environment on health behaviours and disease transmission in social systems
Pinter‐Wollman, N., Jelić, A., & Wells, N. M. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0245 · Cited by 188 · see citing works
Epidemic spreading on complex networks with community structures
Stegehuis, C., van der Hofstad, R., & van Leeuwaarden, J. S. H. (2016) · Scientific Reports · doi:10.1038/srep29748 · Cited by 187 · see citing works
Eight challenges for network epidemic models
Pellis, L., Ball, F., Bansal, S., Eames, K. T. D., House, T., Isham, V. S., & Trapman, P. (2014) · Epidemics · doi:10.1016/j.epidem.2014.07.003 · Cited by 185 · see citing works
On community structure in complex networks: challenges and opportunities
Cherifi, H., Palla, G., Szymanski, B. K., & Lu, X. (2019) · Applied Network Science · doi:10.1007/s41109-019-0238-9 · Cited by 185 · see citing works
Unraveling the disease consequences and mechanisms of modular structure in animal social networks
Sah, P., Leu, S., Cross, P., Hudson, P., & Bansal, S. (2017) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1613616114 · Cited by 181 · see citing works
Infectious Disease and Group Size: More than Just a Numbers Game
Nunn, C. L., Jordán, F., McCabe, C. M., Verdolin, J. L., & Fewell, J. H. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0111 · Cited by 192 · see citing works
Identify influential spreaders in complex networks, the role of neighborhood
Liu, Y., Tang, M., Zhou, T., & Do, Y. (2016) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2016.02.028 · Cited by 158 · see citing works
Organisational immunity in social insects
Stroeymeyt, N., Casillas‐Pérez, B., & Cremer, S. (2014) · Current Opinion in Insect Science · doi:10.1016/j.cois.2014.09.001 · Cited by 154 · see citing works
The interplay between social networks and culture: theoretically and among whales and dolphins
Cantor, M., & Whitehead, H. (2013) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0340 · Cited by 149 · see citing works
Close encounters of the infectious kind: methods to measure social mixing behaviour
Read, J. M., Edmunds, W. J., Riley, S., Lessler, J., & Cummings, D. A. T. (2012) · Epidemiology and Infection · doi:10.1017/s0950268812000842 · Cited by 141 · see citing works
Interventions for avian influenza A (H5N1) risk management in live bird market networks
Fournié, G., Guitián, J., Desvaux, S., Cương, V. C., Dung, D. H., Pfeiffer, D. U., Mangtani, P., & Ghani, A. C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1220815110 · Cited by 146 · see citing works
Containing Epidemic Outbreaks by Message-Passing Techniques
Altarelli, F., Braunstein, A., Dall’Asta, L., Wakeling, J. R., & Zecchina, R. (2014) · Physical Review X · doi:10.1103/physrevx.4.021024 · Cited by 142 · see citing works
Using phenomenological models for forecasting the 2015 Ebola challenge
Pell, B., Kuang, Y., Viboud, C. G., & Chowell, G. (2016) · Epidemics · doi:10.1016/j.epidem.2016.11.002 · Cited by 144 · see citing works
Bursts of Vertex Activation and Epidemics in Evolving Networks
Rocha, L. E. C., & Blondel, V. D. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002974 · Cited by 147 · see citing works
Reiner, R. C., Stoddard, S. T., & Scott, T. W. (2014) · Epidemics · doi:10.1016/j.epidem.2013.12.003 · Cited by 135 · see citing works
Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer
Donker, T., Wallinga, J., Slack, R. C., & Grundmann, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035002 · Cited by 126 · see citing works
Vaccination and epidemics in networked populations—An introduction
Wang, Z., Moreno, Y., Boccaletti, S., & Perc, M. (2017) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2017.06.004 · Cited by 126 · see citing works
Vaccine nationalism and the dynamics and control of SARS-CoV-2
Wagner, C. E., Saad-Roy, C. M., Morris, S. E., Baker, R. E., Mina, M. J., Farrar, J., Holmes, E. C., Pybus, O. G., Graham, A. L., Emanuel, E., et al. (2021) · Science · doi:10.1126/science.abj7364 · Cited by 125 · see citing works
Diffusion in Social Networks: A Multiagent Perspective
Jiang, Y., & Jiang, J. (2014) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2014.2339198 · Cited by 124 · see citing works
Global efficiency of local immunization on complex networks
Hébert-Dufresne, L., Allard, A., Young, J.-G., & Dubé, L. J. (2013) · Scientific Reports · doi:10.1038/srep02171 · Cited by 121 · see citing works
Time-Ordered Networks Reveal Limitations to Information Flow in Ant Colonies
Blonder, B. W., & Dornhaus, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020298 · Cited by 114 · see citing works
Identification of Important Nodes in Directed Biological Networks: A Network Motif Approach
Wang, P., Lü, J., & Yu, X. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106132 · Cited by 112 · see citing works
Epidemic spreading in modular time-varying networks
Nadini, M., Sun, K., Ubaldi, E., Starnini, M., Rizzo, A., & Perra, N. (2018) · Scientific Reports · doi:10.1038/s41598-018-20908-x · Cited by 6 · see citing works
Systems biology approaches to new vaccine development
Oberg, A. L., Kennedy, R. B., Li, P., Ovsyannikova, I. G., & Poland, G. A. (2011) · Current Opinion in Immunology · doi:10.1016/j.coi.2011.04.005 · Cited by 111 · see citing works
Centrality in Complex Networks with Overlapping Community Structure
Ghalmane, Z., Cherifi, C., Cherifi, H., & Hassouni, M. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-46507-y · Cited by 109 · see citing works
Spreading dynamics of a SIQRS epidemic model on scale-free networks
Li, T., Wang, Y., & Guan, Z. (2013) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2013.07.010 · Cited by 102 · see citing works
Exposure Patterns Driving Ebola Transmission in West Africa: A Retrospective Observational Study
International Ebola Response Team, Agua-Agum, J., Ariyarajah, A., Aylward, B., Bawo, L., Bilivogui, P., Blake, I. M., Brennan, R. J., Cawthorne, A., Cleary, E., et al. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002170 · Cited by 101 · see citing works
Emerging infectious diseases: the role of social sciences
Janes, C. R., Corbett, K. K., Jones, J. H., & Trostle, J. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61725-5 · Cited by 100 · see citing works
Self-citationLi, S., Ma, S., & Zhang, J. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102752 · Cited by 100 · see citing works
Epidemic Contact Tracing via Communication Traces
Farrahi, K., Emonet, R., & Cebrián, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095133 · Cited by 100 · see citing works
Centrality measures for networks with community structure
Gupta, N., Singh, A. K., & Cherifi, H. (2016) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2016.01.066 · Cited by 99 · see citing works
Finding a Place for Networks in Archaeology
Peeples, M. A. (2019) · Journal of Archaeological Research · doi:10.1007/s10814-019-09127-8 · Cited by 100 · see citing works
Measuring the robustness of network community structure using assortativity
Shizuka, D., & Farine, D. R. (2016) · Animal Behaviour · doi:10.1016/j.anbehav.2015.12.007 · Cited by 96 · see citing works
The random walk-based gravity model to identify influential nodes in complex networks
Zhao, J., Wen, T., Jahanshahi, H., & Cheong, K. H. (2022) · Information Sciences · doi:10.1016/j.ins.2022.07.084 · Cited by 95 · see citing works
Exploring community structure in biological networks with random graphs
Sah, P., Singh, L., Clauset, A. J., & Bansal, S. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-220 · Cited by 95 · see citing works
Networks in Plant Epidemiology: From Genes to Landscapes, Countries, and Continents
Moslonka‐Lefebvre, M., Finley, A., Dorigatti, I., Dehnen‐Schmutz, K., Harwood, T., Jeger, M. J., Xu, X., Holdenrieder, O., & Pautasso, M. (2010) · Phytopathology · doi:10.1094/phyto-07-10-0192 · Cited by 94 · see citing works
Controlling infectious disease through the targeted manipulation of contact network structure
Gates, M. C., & Woolhouse, M. E. J. (2015) · Epidemics · doi:10.1016/j.epidem.2015.02.008 · Cited by 91 · see citing works
Arthur, R., Gurley, E., Salje, H., Bloomfield, L. S. P., & Jones, J. H. (2017) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0454 · Cited by 90 · see citing works
Self-citationCentrality in modular networks
Ghalmane, Z., Hassouni, M. E., Cherifi, C., & Cherifi, H. (2019) · EPJ Data Science · doi:10.1140/epjds/s13688-019-0195-7 · Cited by 91 · see citing works
Detailed Contact Data and the Dissemination of Staphylococcus aureus in Hospitals
Obadia, T., Silhol, R., Opatowski, L., Temime, L., Legrand, J., Thiébaut, A. C. M., Herrmann, J., Eric Fleury, B., Guillemot, D., Boëlle, P., et al. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004170 · Cited by 90 · see citing works
Complex social contagion makes networks more vulnerable to disease outbreaks
Campbell, E. M., & Salathé, M. (2013) · Scientific Reports · doi:10.1038/srep01905 · Cited by 89 · see citing works
Self-citationImmunization of networks with non-overlapping community structure
Ghalmane, Z., Hassouni, M. E., & Cherifi, H. (2019) · Social Network Analysis and Mining · doi:10.1007/s13278-019-0591-9 · Cited by 88 · see citing works
Quantifying microbe transmission networks for wild and domestic ungulates in Kenya
VanderWaal, K. L., Atwill, E. R., Isbell, L. A., & McCowan, B. (2013) · Biological Conservation · doi:10.1016/j.biocon.2013.11.008 · Cited by 88 · see citing works
Liu, F., Enanoria, W. T. A., Zipprich, J., Blumberg, S., Harriman, K. H., Ackley, S. F., Wheaton, W. D., Allpress, J. L. E., & Porco, T. C. (2015) · BMC Public Health · doi:10.1186/s12889-015-1766-6 · Cited by 88 · see citing works
Barclay, V. C., Smieszek, T., He, J., Cao, G., Rainey, J. J., Gao, H., Uzicanin, A., & Salathé, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087042 · Cited by 85 · see citing works
Self-citationThe effect of a prudent adaptive behaviour on disease transmission
Scarpino, S. V., Allard, A., & Hébert‐Dufresne, L. (2016) · Nature Physics · doi:10.1038/nphys3832 · Cited by 84 · see citing works
Epidemiologically Optimal Static Networks from Temporal Network Data
Holme, P. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003142 · Cited by 83 · see citing works
Preferential imitation can invalidate targeted subsidy policies on seasonal-influenza diseases
Zhang, H., Shu, P., Wang, Z., Tang, M., & SMALL, M. P. (2016) · Applied Mathematics and Computation · doi:10.1016/j.amc.2016.08.057 · Cited by 81 · see citing works
Forecasting influenza activity using machine-learned mobility map
Venkatramanan, S., Sadilek, A., Fadikar, A., Barrett, C. L., Biggerstaff, M., Chen, J., Dotiwalla, X., Eastham, P., Gipson, B. R., Higdon, D., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21018-5 · Cited by 83 · see citing works
Predicting Epidemic Risk from Past Temporal Contact Data
Valdano, E., Poletto, C., Giovannini, A., Palma, D. A., Savini, L., & Vittoria Colizza, A. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004152 · Cited by 81 · see citing works
Silk, M. J., Hodgson, D. J., Rozins, C., Croft, D. P., Delahay, R. J., Boots, M., & McDonald, R. A. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0211 · Cited by 80 · see citing works
VanderWaal, K. L., Picasso‐Risso, C., Enns, E. A., Craft, M. E., Álvarez, J., Fernández, F., Gil, A. D., Perez, A. M., & Wells, S. J. (2015) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2015.12.003 · Cited by 80 · see citing works
Gómez, J., Prieto, J., León, E., & Rodríguez, A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245787 · Cited by 78 · see citing works
The timing and causes of a unique chimpanzee community fission preceding Gombe's "Four-Year War".
Feldblum, J. T., Manfredi, S., Gilby, I., & Pusey, A. (2018) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23462 · Cited by 35 · see citing works
Fast Fragmentation of Networks Using Module-Based Attacks
da Cunha, B. R., González-Avella, J. C., & Gonçalves, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142824 · Cited by 76 · see citing works
Network-theoretic approach to sparsified discrete vortex dynamics
Nair, A. G., & Taira, K. (2015) · Journal of Fluid Mechanics · doi:10.1017/jfm.2015.97 · Cited by 75 · see citing works
A system for automatic recording of social behavior in a free-living wild house mouse population
König, B., Lindholm, A., Lopes, P. C., Dobay, A., Steinert, S., & Buschmann, F. (2015) · Animal Biotelemetry · doi:10.1186/s40317-015-0069-0 · Cited by 74 · see citing works
Untangling the Interplay between Epidemic Spread and Transmission Network Dynamics
Kamp, C. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000984 · Cited by 74 · see citing works
Modeling infection transmission in primate networks to predict centrality‐based risk
Romano, V., Duboscq, J., Sarabian, C., Thomas, E., Sueur, C., & MacIntosh, A. (2016) · American Journal of Primatology · doi:10.1002/ajp.22542 · Cited by 64 · see citing works
Community lockdowns in social networks hardly mitigate epidemic spreading
Gosak, M., Duh, M., Markovič, R., & Perc, M. (2021) · New Journal of Physics · doi:10.1088/1367-2630/abf459 · Cited by 71 · see citing works
An Efficient Immunization Strategy for Community Networks
Gong, K., Tang, M., Hui, P. M., Zhang, H. F., Do, Y., & Lai, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083489 · Cited by 70 · see citing works
Theory and data for simulating fine-scale human movement in an urban environment
Perkins, T. A., Garcia, A. J., Paz‐Soldán, V. A., Stoddard, S. T., Reiner, R. C., Vazquez‐Prokopec, G. M., Bisanzio, D., Morrison, A. C., Halsey, E. S., Kochel, T. J., et al. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2014.0642 · Cited by 69 · see citing works
How should social mixing be measured: comparing web-based survey and sensor-based methods
Smieszek, T., Barclay, V. C., Seeni, I., Rainey, J. J., Gao, H., Uzicanin, A., & Salathé, M. (2014) · BMC Infectious Diseases · doi:10.1186/1471-2334-14-136 · Cited by 69 · see citing works
Self-citationDisease Surveillance on Complex Social Networks
Herrera, J. L., Srinivasan, R., Brownstein, J. S., Galvani, A. P., & Ancel, L. W. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004928 · Cited by 66 · see citing works
Cryptic connections illuminate pathogen transmission within community networks
Hoyt, J. R., Langwig, K. E., White, J. P., Kaarakka, H. M., Redell, J. A., Kurta, A., DePue, J. E., Scullon, W. H., Parise, K. L., Foster, J. T., et al. (2018) · Nature · doi:10.1038/s41586-018-0720-z · Cited by 66 · see citing works
Seasonality and pathogen transmission in pastoral cattle contact networks
VanderWaal, K. L., Gilbertson, M. L. J., Okanga, S., Allan, B. F., & Craft, M. E. (2017) · Royal Society Open Science · doi:10.1098/rsos.170808 · Cited by 62 · see citing works
Behavioural ecology and infectious disease: implications for conservation of biodiversity
Herrera, J., & Nunn, C. L. (2019) · Philosophical Transactions of the Royal Society of London. Biological Sciences · doi:10.1098/rstb.2018.0054 · Cited by 57 · see citing works
Application Areas of Community Detection: A Review
Karataş, A., & Şahin, S. (2018) · International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT) · doi:10.1109/ibigdelft.2018.8625349 · Cited by 61 · see citing works
Preventing epidemic spreading in networks by community detection and memetic algorithm
Wang, S., Gong, M., Liu, W., & Wu, Y. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106118 · Cited by 60 · see citing works
Anderson, M.-C., Hazel, A., Perkins, J. M., & Almquist, Z. W. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147328 · Cited by 61 · see citing works
Opposing effects of allogrooming on disease transmission in ant societies
Theis, F. J., Ugelvig, L. V., Marr, C., & Cremer, S. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0108 · Cited by 59 · see citing works
Optimal but unequitable prophylactic distribution of vaccine
Keeling, M. J., & Shattock, A. J. (2012) · Epidemics · doi:10.1016/j.epidem.2012.03.001 · Cited by 59 · see citing works
Luo, W. P., & MacEachren, A. M. (2014) · Journal of Spatial Information Science · doi:10.5311/josis.2014.8.139 · Cited by 60 · see citing works
Primate Disease Ecology in Comparative and Theoretical Perspective
Nunn, C. L. (2012) · American Journal of Primatology · doi:10.1002/ajp.21986 · Cited by 59 · see citing works
Epidemic reemergence in adaptive complex networks
Zhou, J., Xiao, G., Cheong, S. A., Fu, X., Wong, L., Ma, S., & Cheng, T. H. (2012) · Physical Review E · doi:10.1103/physreve.85.036107 · Cited by 58 · see citing works
- 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
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › 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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