The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
The effects of local spatial structure on epidemiological invasions
Open accessAbstract
Predicting the likely success of invasions is vitally important in ecology and especially epidemiology. Whether an organism can successfully invade and persist in the short-term is highly dependent on the spatial correlations that develop in the early stages of invasion. By modelling the correlations between individuals, we are able to understand the role of spatial heterogeneity in invasion dynamics without the need for large-scale computer simulations. Here, a natural methodology is developed for modelling the behaviour of individuals in a fixed network. This formulation is applied to the spread of a disease through a structured network to determine invasion thresholds and some statistical properties of a single epidemic.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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 Keeling 1999
Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
A contribution to the mathematical theory of epidemics
Kermack, W. O., & McKendrick, A. G. (1927) · Proceedings of the Royal Society of London Series A Containing Papers of a Mathematical and Physical Character · doi:10.1098/rspa.1927.0118 · Cited by 11,854
Infectious Diseases of Humans: Dynamics and Control
Anderson, R. M., & May, R. M. (1991) · doi:10.1093/oso/9780198545996.001.0001 · Cited by 6,179
Diekmann, O., Heesterbeek, H., & Metz, J. A. J. (1990) · Journal of Mathematical Biology · doi:10.1007/bf00178324 · Cited by 5,103
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
Ecology of Infectious Diseases in Natural Populations
(1995) · Cambridge University Press eBooks · doi:10.1017/cbo9780511629396 · Cited by 793
Contributions to the mathematical theory of epidemics—I
KERMACK, W., & McKendrick, A. G. (1991) · Bulletin of Mathematical Biology · doi:10.1016/s0092-8240(05)80040-0 · Cited by 694
Aggregation of Predators and Insect Parasites and its Effect on Stability
Hassell, M. P., & May, R. M. (1974) · Journal of Animal Ecology · doi:10.2307/3384 · Cited by 668
Statistical Mechanics of Population: The Lattice Lotka-Volterra Model
Matsuda, H., Ogita, N., Sasaki, A., & Satō, K. (1992) · Progress of Theoretical Physics · doi:10.1143/ptp/88.6.1035 · Cited by 445
Disease Extinction and Community Size: Modeling the Persistence of Measles
Keeling, M. J., & Grenfell, B. T. (1997) · Science · doi:10.1126/science.275.5296.65 · Cited by 392
Self-citation
Research works printed but not linked: 4
- 10.1239/jap/1032192860 · DOI
- Matsuda H. 1987 Conditions for the evolution of altruism. In Animal societies: theories and facts (ed. Y. Ito J. P. Brown & J. Kikkawa) pp. 67^80. Tokyo: Japanese Scienti¢c Society Press.
- Rand D. A. 1999 Correlation equations for spatial ecologies. In Advanced ecological theory (ed. J. McGlade) pp. 99^143. London: Blackwell Scienti¢c Publishing.
- Van Baalen M. 1999 Pair dynamics and con¢guration approximations. In The geometry of ecological interactions: simplifying spatial complexity (ed. U. Dieckmann & J. Metz). Cambridge University Press. (In the press.)
Cited by
Sorted by citations
Items 201–300 of 797
SIMULATION OF TRAFFIC CONGESTION WITH SIR MODEL
Wu, J., Gao, Z., & Sun, H. (2004) · Modern Physics Letters B · doi:10.1142/s0217984904008031 · Cited by 52
Simulating devil facial tumour disease outbreaks across empirically derived contact networks
Hamede, R., Bashford, J., Jones, M. E., & McCallum, H. I. (2012) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2011.02103.x · Cited by 52
Improving Prelaunch Diffusion Forecasts: Using Synthetic Networks as Simulated Priors
Trusov, M., Rand, W. M., & Joshi, Y. V. (2013) · Journal of Marketing Research · doi:10.1509/jmr.11.0508 · Cited by 50
Adequacy of SEIR models when epidemics have spatial structure: Ebola in Sierra Leone
Getz, W. M., Salter, R. M., & Mgbara, W. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0282 · Cited by 52
Calculation of Disease Dynamics in a Population of Households
Ross, J. V., House, T., & Keeling, M. J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009666 · Cited by 51
Self-citationEnhancing genetic disease control by selecting for lower host infectivity and susceptibility
Tsairidou, S., Anacleto, O., Woolliams, J. A., & Doeschl‐Wilson, A. (2019) · Heredity · doi:10.1038/s41437-018-0176-9 · Cited by 46
Epidemic prediction and control in clustered populations
House, T., & Keeling, M. J. (2010) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.12.009 · Cited by 47
Self-citationMathematical modelling of the foot and mouth disease epidemic of 2001: strengths and weaknesses
Green, L. E., & Medley, G. F. (2002) · Research in Veterinary Science · doi:10.1016/s0034-5288(02)00106-6 · Cited by 47
Spatiotemporal variation in the distribution of chytrid parasites in diatom host populations
Gsell, A. S., Domis, L. N. D. S., Naus‐Wiezer, S. M. H., Helmsing, N. R., van Donk, E., & Ibelings, B. W. (2012) · Freshwater Biology · doi:10.1111/j.1365-2427.2012.02786.x · Cited by 46
Plank, M. J., & Law, R. (2014) · Bulletin of Mathematical Biology · doi:10.1007/s11538-014-0018-8 · Cited by 46
A Network Model for Dispersion of Communicable Diseases
Bian, L., & Liebner, D. A. (2007) · Transactions in GIS · doi:10.1111/j.1467-9671.2007.01039.x · Cited by 46
Stein, M. L., van Steenbergen, J., Chanyasanha, C., Tipayamongkholgul, M., Buskens, V., van der Heijden, P. G. M., Sabaiwan, W., Bengtsson, L., Lu, X. B., Thorson, A. E., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085256 · Cited by 44
Influence of Local Information on Social Simulations in Small-World Network Models
Huang, C.-Y., Sun, C., & Lin, H.-C. (2005) · RePEc: Research Papers in Economics · Cited by 46
Using conservation of pattern to estimate spatial parameters from a single snapshot
Keeling, M. J., Brooks, S. P., & Gilligan, C. A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400335101 · Cited by 46
Self-citationModels of Mycobacterium bovis in wildlife and cattle
Smith, G. C. (2001) · Tuberculosis · doi:10.1054/tube.2000.0264 · Cited by 46
Juher, D., Ripoll, J., & Saldaña, J. (2009) · Physical Review E · doi:10.1103/physreve.80.041920 · Cited by 45
Higher-order structure and epidemic dynamics in clustered networks
Ritchie, M., Luc Berthouze, A., House, T., & Kiss, I. Z. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2014.01.025 · Cited by 41
Failure in Complex Social Networks
Centola, D. M. (2008) · Journal of Mathematical Sociology · doi:10.1080/00222500802536988 · Cited by 44
Comment on “Properties of highly clustered networks”
Kiss, I. Z., & Green, D. M. (2008) · Physical Review E · doi:10.1103/physreve.78.048101 · Cited by 43
Chiyo, P. I., Grieneisen, L., Wittemyer, G., Moss, C. J., Lee, P. C., Douglas‐Hamilton, I., & Archie, E. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093408 · Cited by 43
Arrival time statistics in global disease spread
Gautreau, A., Barrat, A., & Barthélemy, M. (2007) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2007/09/l09001 · Cited by 43
Modeling epidemics: A primer and Numerus Model Builder implementation
Getz, W. M., Salter, R. M., Muellerklein, O., Yoon, H. S., & Tallam, K. (2018) · Epidemics · doi:10.1016/j.epidem.2018.06.001 · Cited by 47
Evolutionary Dynamics on Scale-Free Interaction Networks
Payne, J. L., & Eppstein, M. J. (2009) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2009.2019825 · Cited by 42
Space and contact networks: capturing the locality of disease transmission
Parham, P. E., & Ferguson, N. M. (2005) · Journal of The Royal Society Interface · doi:10.1098/rsif.2005.0105 · Cited by 43
Sanchez, J. N., & Hudgens, B. R. (2015) · Ecology and Evolution · doi:10.1002/ece3.1533 · Cited by 45
Multiple structural modifications to dendritic ecological networks produce simple responses
Padgham, M., & Webb, J. A. (2010) · Ecological Modelling · doi:10.1016/j.ecolmodel.2010.04.022 · Cited by 42
Dynamics of epidemic diseases on a growing adaptive network
Demirel, G., Barter, E., & Groß, T. (2017) · Scientific Reports · doi:10.1038/srep42352 · Cited by 42
Effective degree theory for awareness and epidemic spreading on multiplex networks
Zhou, Y., Zhou, J., Chen, G., & Stanley, E. (2019) · New Journal of Physics · doi:10.1088/1367-2630/ab0458 · Cited by 42
Disease invasion on community networks with environmental pathogen movement
Tien, J. H., Shuai, Z., Eisenberg, M. C., & den Driessche, P. V. (2014) · Journal of Mathematical Biology · doi:10.1007/s00285-014-0791-x · Cited by 41
A Class of Pairwise Models for Epidemic Dynamics on Weighted Networks
Rattana, P., Blyuss, K. B., Eames, K. T. D., & Kiss, I. Z. (2013) · Bulletin of Mathematical Biology · doi:10.1007/s11538-013-9816-7 · Cited by 41
Analysis of SHIR rumor propagation in random heterogeneous networks with dynamic friendships
Zhu, H., & Ma, J. (2018) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2018.09.015 · Cited by 41
Spatial heterogeneity, social structure and disease dynamics of animal populations
Gudelj, I., & White, K. A. J. (2004) · Theoretical Population Biology · doi:10.1016/j.tpb.2004.04.003 · Cited by 41
Petermann, T., & Rios, P. D. L. (2004) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2004.02.017 · Cited by 41
Exact Equations for SIR Epidemics on Tree Graphs
Sharkey, K. J., Kiss, I. Z., Wilkinson, R. R., & Simon, P. L. (2013) · Bulletin of Mathematical Biology · doi:10.1007/s11538-013-9923-5 · Cited by 40
Spatial heterogeneity of daphniid parasitism within lakes
Hall, S. R., Duffy, M. A., Tessier, A. J., & Cáceres, C. E. (2005) · Oecologia · doi:10.1007/s00442-005-0005-8 · Cited by 40
Modeling Individual Vulnerability to Communicable Diseases: A Framework and Design
Bian, L., Huang, Y., Mao, L., Lim, E., Lee, G., Yang, Y. X., Cohen, M., & Wilson, D. (2012) · Annals of the Association of American Geographers · doi:10.1080/00045608.2012.674844 · Cited by 40
Stochastic models for epidemics
Isham, V. S. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198566540.003.0002 · Cited by 41
Revisiting node-based SIR models in complex networks with degree correlations
Wang, Y., Cao, J., Alofi, A. S., Al-Mazrooei, A., & Elaiw, A. M. (2015) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2015.05.103 · Cited by 39
Contact rate calculation for a basic epidemic model
Rhodes, C. J., & Anderson, R. M. (2008) · Mathematical Biosciences · doi:10.1016/j.mbs.2008.08.007 · Cited by 39
Keeling, M. J. (1999) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1999.0729 · Cited by 39
Self-citationFilipe, J. A. N., & Maule, M. M. (2003) · Mathematical Biosciences · doi:10.1016/s0025-5564(02)00224-9 · Cited by 39
Oscillating epidemics in a dynamic network model: stochastic and mean-field analysis
Szabó-Solticzky, A., Luc Berthouze, A., Kiss, I. Z., & Šimon, P. (2015) · Journal of Mathematical Biology · doi:10.1007/s00285-015-0902-3 · Cited by 38
Multiple sources and routes of information transmission: Implications for epidemic dynamics
Hatzopoulos, V., Taylor, M., Šimon, P., & Kiss, I. Z. (2011) · Mathematical Biosciences · doi:10.1016/j.mbs.2011.03.006 · Cited by 38
The role of spatial mixing in the spread of foot-and-mouth disease
Chowell, G., Rivas, A. L., Hengartner, N., Hyman, J. M., & Castillo‐Chávez, C. (2005) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2005.10.002 · Cited by 38
Modelling epidemics on networks
House, T. (2012) · Contemporary Physics · doi:10.1080/00107514.2011.644443 · Cited by 38
Modeling the Spread of Infectious Diseases: A Review
Chen, D. (2014) · Wiley series in probability and statistics · doi:10.1002/9781118630013.ch2 · Cited by 38
Maximum-entropy moment-closure for stochastic systems on networks
Rogers, T. (2011) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2011/05/p05007 · Cited by 37
Fitness benefits of low infectivity in a spatially structured population of bacteriophages
Roychoudhury, P., Shrestha, N., Wiss, V. R., & Krone, S. M. (2013) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2013.2563 · Cited by 37
Spatial Approaches to Modeling Dispersion of Communicable Diseases – A Review
Bian, L. (2012) · Transactions in GIS · doi:10.1111/j.1467-9671.2012.01329.x · Cited by 37
Harnessing Case Isolation and Ring Vaccination to Control Ebola
Wells, C. R., Yamin, D., Ndeffo-Mbah, M. L., Wenzel, N. S., Gaffney, S. G., Townsend, J. P., Ancel, L. W., Fallah, M. P., Nyenswah, T., Altice, F. L., et al. (2015) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0003794 · Cited by 37
Outbreak analysis of an SIS epidemic model with rewiring
Juher, D., Ripoll, J., & Saldaña, J. (2012) · Journal of Mathematical Biology · doi:10.1007/s00285-012-0555-4 · Cited by 36
Turner, J., Bowers, R., Clancy, D., Behnke, M. C., & Christley, R. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.05.007 · Cited by 36
The large graph limit of a stochastic epidemic model on a dynamic multilayer network
Jacobsen, K. A., Burch, M. G., Tien, J. H., & Rempała, G. A. (2018) · Journal of Biological Dynamics · doi:10.1080/17513758.2018.1515993 · Cited by 35
Edge-based SEIR dynamics with or without infectious force in latent period on random networks
Wang, Y., Cao, J., Alsaedi, A., & Ahmad, B. (2016) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2016.09.014 · Cited by 35
The dynamics of disease in a metapopulation: The role of dispersal range
North, A. R., & Godfray, H. C. J. (2017) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2017.01.037 · Cited by 35
Discrete stochastic analogs of Erlang epidemic models
Getz, W. M., & Dougherty, E. R. (2017) · Journal of Biological Dynamics · doi:10.1080/17513758.2017.1401677 · Cited by 36
Exact Equations for SIR Epidemics on Tree Graphs
Sharkey, K. J., Kiss, I. Z., Wilkinson, R. R., & Šimon, P. (2015) · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · Cited by 35
Social structure defines spatial transmission of African swine fever in wild boar
Pepin, K., Golnar, A. J., & Podgórski, T. (2020) · bioRxiv · doi:10.1098/rsif.2020.0761 · Cited by 32
Relation between structure and size in social networks
López, L., & Sanjuán, M. A. F. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.65.036107 · Cited by 35
Susceptible-infected-recovered and susceptible-exposed-infected models
Tomé, T., & de Oliveira, M. J. (2011) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8113/44/9/095005 · Cited by 36
Eradicating infectious disease using weakly transmissible vaccines
Nuismer, S. L., Althouse, B. M., May, R. H., Bull, J. J., Stromberg, S. P., & Antia, R. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.1903 · Cited by 34
Forecasting infectious disease emergence subject to seasonal forcing
Miller, P. B., O’Dea, E. B., Rohani, P., & Drake, J. M. (2017) · Theoretical Biology and Medical Modelling · doi:10.1186/s12976-017-0063-8 · Cited by 34
Epidemic dynamics on information-driven adaptive networks
Zhan, X., Liu, C., Sun, G., & Zhang, Z. (2018) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2018.02.010 · Cited by 34
Leveraging multiple data types to estimate the size of the Zika epidemic in the Americas
Moore, S. M., Oidtman, R. J., Soda, K., Siraj, A. S., Reiner, R. C., Barker, C. M., & Perkins, T. A. (2020) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0008640 · Cited by 33
Rees, E. E., Merrill, E. H., Bollinger, T. K., Hwang, Y. T., Pybus, M. J., & Coltman, D. W. (2011) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2011.10.016 · Cited by 34
Coevolutionary cycling of host sociality and pathogen virulence in contact networks
Prado, F., Sheih, A., West, J. D., & Kerr, B. (2009) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2009.08.022 · Cited by 34
Spicknall, I. H., Gift, T. L., Bernstein, K. T., & Aral, S. O. (2017) · Sexually Transmitted Infections · doi:10.1136/sextrans-2016-052676 · Cited by 34
HIV Transmission by Stage of Infection and Pattern of Sexual Partnerships
Kim, J., Riolo, R., & Koopman, J. S. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181e6639f · Cited by 33
A Network Epidemic Model with Preventive Rewiring: Comparative Analysis of the Initial Phase
Britton, T., Juher, D., & Saldaña, J. (2016) · Bulletin of Mathematical Biology · doi:10.1007/s11538-016-0227-4 · Cited by 33
Demographic Processes Drive Increases in Wildlife Disease following Population Reduction
Prentice, J. C., Marion, G., White, P. C. L., Davidson, R. S., & Hutchings, M. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086563 · Cited by 33
Effective degree Markov-chain approach for discrete-time epidemic processes on uncorrelated networks
Cai, C.-R., Wu, Z.-X., & Guan, J. (2014) · Physical Review E · doi:10.1103/physreve.90.052803 · Cited by 33
Wilschut, L. I., Addink, E. A., Heesterbeek, H., Dubyanskiy, V. M., Davis, S., Laudisoit, A. M., Begon, M. E., Burdelov, L. A., Atshabar, B. B., & de Jong, S. M. (2013) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2012.11.007 · Cited by 32
Assessing node risk and vulnerability in epidemics on networks
Rogers, T. (2015) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/109/28005 · Cited by 29
Combined effects of prevention and quarantine on a breakout in SIR model
Kato, F., Tainaka, K., Sone, S., Morita, S., Iida, H., & Yoshimura, J. (2011) · Scientific Reports · doi:10.1038/srep00010 · Cited by 32
Pair correlation functions for identifying spatial correlation in discrete domains
Gavagnin, E., Owen, J. P., & Yates, C. A. (2018) · Physical review. E · doi:10.1103/physreve.97.062104 · Cited by 32
Are the pathogens of out-groups really more dangerous?
de Barra, M., & Curtis, V. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000975 · Cited by 32
Beyond Contact Tracing: Community-Based Early Detection for Ebola Response
Wong, V., Cooney, D. B., & Bar-Yam, Y. (2016) · PLoS Currents · doi:10.1371/currents.outbreaks.322427f4c3cc2b9c1a5b3395e7d20894 · Cited by 31
Models for host-macroparasite interactions in micromammals
Rosà, R., Rizzoli, A. P., Ferrari, N., & Pugliese, A. (2007) · Springer eBooks · doi:10.1007/978-4-431-36025-4_17 · Cited by 31
Garrett, K. A. (2012) · European Journal of Plant Pathology · doi:10.1007/s10658-012-9963-y · Cited by 31
McVernon, J., McCaw, C., & Mathews, J. D. (2007) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2007.00008.x · Cited by 28
The Importance of Being Hybrid for Spatial Epidemic Models:A Multi-Scale Approach
Banos, A., Corson, N., Gaudou, B., Laperrière, V., & Coyrehourcq, S. R. (2015) · Systems · doi:10.3390/systems3040309 · Cited by 31
Disease evolution across a range of spatio-temporal scales
Read, J. M., & Keeling, M. J. (2006) · Theoretical Population Biology · doi:10.1016/j.tpb.2006.04.006 · Cited by 31
Self-citationResponding to Bioterrorist Smallpox in San Antonio
Miller, G. W., Randolph, S., & PATTERSON, J. E. (2006) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.1060.0228 · Cited by 31
Richgels, K. L. D., Russell, R. E., Bron, G. M., & Rocke, T. E. (2016) · EcoHealth · doi:10.1007/s10393-016-1133-9 · Cited by 31
Metapopulation dynamics as a contact process on a graph
Franc, A. (2004) · Ecological Complexity · doi:10.1016/j.ecocom.2003.10.002 · Cited by 31
Parameterization of individual-based models: Comparisons with deterministic mean-field models
Green, D. M., Kiss, I. Z., & Kao, R. R. (2006) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2005.07.018 · Cited by 31
Sofonea, M. T., Reyné, B., Elie, B., Djidjou‐Demasse, R., Selinger, C., Michalakis, Y., & Alizon, S. (2020) · medRxiv · doi:10.1101/2020.05.22.20110593 · Cited by 31
Exact and approximate moment closures for non-Markovian network epidemics
Pellis, L., House, T., & Keeling, M. J. (2015) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2015.04.039 · Cited by 30
Self-citationNetwork Effects in Schelling's Model of Segregation: New Evidence from Agent-Based Simulation
Banos, A. (2012) · Environment and Planning B Planning and Design · doi:10.1068/b37068 · Cited by 30
Potential Spread of White-Nose Syndrome of Bats to the Northwest: Epidemiological Considerations
Knudsen, G. R., Dixon, R. D., & Amelon, S. K. (2013) · Northwest Science · doi:10.3955/046.087.0401 · Cited by 30
Wilschut, L. I., Laudisoit, A. M., Hughes, N. K., Addink, E. A., de Jong, S. M., Heesterbeek, H., Reijniers, J., Eagle, S., Dubyanskiy, V. M., & Begon, M. E. (2015) · Journal of Biogeography · doi:10.1111/jbi.12534 · Cited by 30
Wells, C. R., & Bauch, C. T. (2012) · Epidemics · doi:10.1016/j.epidem.2012.06.002 · Cited by 30
Individual-based vs. deterministic models for macroparasites: host cycles and extinction
Rosà, R., Pugliese, A., Villani, A., & Rizzoli, A. P. (2003) · Theoretical Population Biology · doi:10.1016/s0040-5809(03)00021-2 · Cited by 30
Palisson, A., Courcoul, A., & Durand, B. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169881 · Cited by 30
Misinformation can prevent the suppression of epidemics
Sontag, A., Rogers, T., & Yates, C. A. (2022) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0668 · Cited by 29
Large-scale properties of clustered networks: implications for disease dynamics
Green, D. M., & Kiss, I. Z. (2010) · Journal of Biological Dynamics · doi:10.1080/17513758.2010.487158 · Cited by 29
Lindström, T., Sisson, S. A., Nöremark, M., Jonsson, A., & Wennergren, U. (2009) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2009.05.022 · Cited by 29
Co-diffusion of social contagions
Chang, H.-C. H., & Fu, F. (2018) · New Journal of Physics · doi:10.1088/1367-2630/aadce7 · Cited by 28
Ward, M. P., Laffan, S. W., & Highfield, L. D. (2009) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2009.05.005 · Cited by 28
He, P. J., Montiglio, P., Somveille, M., Cantor, M., & Farine, D. R. (2021) · Oecologia · doi:10.1007/s00442-021-04967-y · Cited by 27
Metadata
- Authors
- Keeling, M. J.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Keeling, M. J.
- ORCID
- Keeling, M. J.
- Venue
- Proceedings of the Royal Society of London. Series B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 1999-04-22
- Volume
- 266
- Issue
- 1421
- Pages
- 859-867
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- PMC
- PMC1689913
- OpenAlex
- W2030540141
- Cited by
- 798
- References
- 28
- Citations by year
- 2026: 19 · 2025: 27 · 2024: 19 · 2023: 30 · 2022: 23 · 2021: 36 · 2020: 33 · 2019: 30 · 2018: 44 · 2017: 46 · 2016: 35 · 2015: 47 · 2014: 37 · 2013: 41 · 2012: 38
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the Royal Society B Biological Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust
- Topics
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
- Keywords
- invasion threshold, spatial structure, spatial heterogeneity, epidemic spread, structured networks, disease transmission, agent-based modeling, spatial correlation, epidemic persistence
- MeSH terms
- Communicable Disease Control, Communicable Diseases, Disease Outbreaks, Ecology, Epidemiology, Humans, Models, Biological, Vaccination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review