The effects of local spatial structure on epidemiological invasions

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

On the definition and the computation of the basic reproduction ratio R 0 in models for infectious diseases in heterogeneous populations

Diekmann, O., Heesterbeek, H., & Metz, J. A. J. (1990) · Journal of Mathematical Biology · doi:10.1007/bf00178324 · Cited by 5,103

Infectious diseases of humans

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

EXTENSIONS TO MASS-ACTION MIXING

Keeling, M. J. (2005) · Elsevier eBooks · doi:10.1016/b978-012088459-9/50008-x · Cited by 9

Influence of social peers on vaccine hesitancy under imperfect vaccination

Lu, Y., de Miguel-Arribas, A., & Ши, Л. (2024) · Applied Mathematics and Computation · doi:10.1016/j.amc.2024.129214 · Cited by 8

HIV Transmissions by Stage and Sex Role in Long-Term Concurrent Sexual Partnerships

Kim, J. (2014) · Acta Biotheoretica · doi:10.1007/s10441-014-9242-8 · Cited by 8

Analytical approximation for invasion and endemic thresholds, and the optimal control of epidemics in spatially explicit individual-based models

Suprunenko, Y. F., Cornell, S. J., & Gilligan, C. A. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2020.0966 · Cited by 7

Tensor product approach to modelling epidemics on networks

Dolgov, S., & Savostyanov, D. (2023) · Applied Mathematics and Computation · doi:10.1016/j.amc.2023.128290 · Cited by 8

Social Networks and Spatial Distribution

Amblard, F., & Quattrociocchi, W. (2013) · Understanding complex systems · doi:10.1007/978-3-540-93813-2_16 · Cited by 8

Compact pairwise models for epidemics with multiple infectious stages on degree heterogeneous and clustered networks

Sherborne, N., Blyuss, K. B., & Kiss, I. Z. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.07.015 · Cited by 8

Mixing and diffusion in a two-type population

Izquierdo, S. S., Izquierdo, L. R., & López-Pintado, D. (2018) · Royal Society Open Science · doi:10.1098/rsos.172102 · Cited by 8

Group-Based Susceptible-Infectious-Susceptible Model in Large-Scale Directed Networks

Wang, X., Song, B., Ni, W., Liu, R. P., Guo, Y. J., Niu, X., & Zheng, K. (2019) · Security and Communication Networks · doi:10.1155/2019/1657164 · Cited by 8

The impact of varying class sizes on epidemic spread in a university population

Best, A., Singh, P., Ward, C., Vitale, C., Oliver, M., Idris, L., & Poulston, A. (2021) · Royal Society Open Science · doi:10.1098/rsos.210712 · Cited by 8

Mean-field models of dynamics on networks via moment closure: An automated procedure

Wuyts, B., & Sieber, J. (2022) · Physical review. E · doi:10.1103/physreve.106.054312 · Cited by 8

Using pair approximations to predict takeover dynamics in spatially structured populations

Payne, J. L., & Eppstein, M. J. (2007) · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · doi:10.1145/1274000.1274025 · Cited by 8

Advantage of Being Multicomponent and Spatial: Multipartite Viruses Colonize Structured Populations with Lower Thresholds

Zhang, Y.-J., Wu, Z.-X., Holme, P., & Yang, K.-C. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.138101 · Cited by 8

Network Analysis to Identify the Risk of Epidemic Spreading

Kim, K., Yoo, S., Lee, S.-Y., Lee, D., & Lee, K.-H. (2021) · Applied Sciences · doi:10.3390/app11072997 · Cited by 8

Spatial ecology of disease spread in the island fox

Sanchez, J. N. (2012) · California State University ScholarWorks (system-wide DSpace) · Cited by 8

Disease avoidance threatens social cohesion in a large-scale social networking experiment

Nunner, H., Buskens, V., Corten, R., Kaandorp, C., & Kretzschmar, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-47556-0 · Cited by 9

Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States

Sellman, S., Tildesley, M. J., Burdett, C. L., Miller, R. S., Hallman, C., Webb, C. T., Wennergren, U., Portacci, K., & Lindström, T. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007641 · Cited by 7

Estimating the reproduction number, R 0 , from individual-based models of tree disease spread

Wadkin, L. E., Holden, J., Ettelaie, R., Holmes, M. J., Smith, J., Golightly, A., Parker, N. G., & Baggaley, A. W. (2024) · Ecological Modelling · doi:10.1016/j.ecolmodel.2024.110630 · Cited by 7

Predicting the effect of landscape structure on epidemic invasion using an analytical estimate for infection rate

Suprunenko, Y. F., Cornell, S. J., & Gilligan, C. A. (2025) · Royal Society Open Science · doi:10.1098/rsos.240763 · Cited by 7

Pair Approximations of Takeover Dynamics in Regular Population Structures

Payne, J. L., & Eppstein, M. J. (2009) · Evolutionary Computation · doi:10.1162/evco.2009.17.2.203 · Cited by 7

Transition from susceptible-infected to susceptible-infected-recovered dynamics in a susceptible-cleric-zombie-recovered active matter model

Libál, A., Forgács, P., Néda, Á., Reichhardt, C. J. O., Hengartner, N., & Reichhardt, C. J. O. (2023) · Physical review. E · doi:10.1103/physreve.107.024604 · Cited by 7

Towards Inferring Network Properties from Epidemic Data

Kiss, I. Z., Luc Berthouze, A., & KhudaBukhsh, W. R. (2023) · Bulletin of Mathematical Biology · doi:10.1007/s11538-023-01235-3 · Cited by 7

Asymmetric network connectivity using weighted harmonic averages

Morrison, G., & Mahadevan, L. (2011) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/93/40002 · Cited by 7

On the efficiency of the equation-free closure of statistical moments: dynamical properties of a stochastic epidemic model on Erdős–Rényi networks

Reppas, A. I., Decker, Y. D., & Siettos, C. I. (2012) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2012/08/p08020 · Cited by 7

Exploring Short-Term Responses to Changes in the Control Strategy forChlamydia trachomatis

Clarke, J. H., White, K. A. J., & Turner, K. (2012) · Computational and Mathematical Methods in Medicine · doi:10.1155/2012/803097 · Cited by 7

Epidemiological Modeling on Complex Networks

Jin, Z., Li, S., Zhang, X., Zhang, J., & Peng, X.-L. (2015) · Understanding complex systems · doi:10.1007/978-3-662-47824-0_3 · Cited by 7

Evolutionary Graph Theory

Shakarian, P., Bhatnagar, A., Aleali, A., Shaabani, E., & Guo, R. (2015) · SpringerBriefs in computer science · doi:10.1007/978-3-319-23105-1_6 · Cited by 7

Fitness costs in spatially structured environments

Débarre, F. (2015) · Evolution · doi:10.1111/evo.12646 · Cited by 7

Differences in social activity increase efficiency of contact tracing

Nielsen, B. F., Sneppen, K., Simonsen, L., & Mathiesen, J. (2021) · The European Physical Journal B · doi:10.1140/epjb/s10051-021-00222-8 · Cited by 7

Epidemic thresholds for infections in uncertain networks

Zager, L. A., & Verghese, G. C. (2008) · Complexity · doi:10.1002/cplx.20248 · Cited by 7

Absence of epidemic thresholds in a growing adaptive networkPreprint

Demirel, G., & Groß, T. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1209.2541 · Cited by 7

Phage mobility is a core determinant of phage-bacteria coexistence in biofilmsPreprint

Simmons, M. D., Drescher, K., Nadell, C. D., & Bucci, V. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/086462 · Cited by 7

Spectral Properties of the Connectivity Matrix and the SIS-epidemic Threshold for Mid-size Metapopulations

Juher, D., & Mañosa, V. (2014) · Mathematical Modelling of Natural Phenomena · doi:10.1051/mmnp/20149207 · Cited by 6

A Low-Dimensional Network Model for an SIS Epidemic: Analysis of the Super Compact Pairwise Model

Corcoran, C., & Hastings, A. (2021) · Bulletin of Mathematical Biology · doi:10.1007/s11538-021-00907-2 · Cited by 6

Adaptive network modeling of social distancing interventions

Corcoran, C., & Clark, J. M. (2022) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2022.111151 · Cited by 6

Structural network characteristics affect epidemic severity and prediction in social contact networks

McKee, J., & Dallas, T. (2023) · Infectious Disease Modelling · doi:10.1016/j.idm.2023.12.008 · Cited by 6

Disease Transmission on Random Graphs Using Edge‐Based Percolation

Zhao, S., & Magpantay, F. M. G. (2025) · Mathematical Methods in the Applied Sciences · doi:10.1002/mma.10963 · Cited by 7

Impacts of cluster on network topology structure and epidemic spreading

Li, S., & Jin, Z. (2017) · Discrete and Continuous Dynamical Systems - B · doi:10.3934/dcdsb.2017187 · Cited by 6

A simulation of anthropogenic Columbian mammoth (Mammuthus columbi) extinction

Klapman, M., & Capaldi, A. (2017) · Historical Biology · doi:10.1080/08912963.2017.1383987 · Cited by 6

Approximating Individual Interactions in Compartmental System Dynamics Models

Lamberson, P. J. (2018) · System Dynamics Review · doi:10.1002/sdr.1599 · Cited by 6

Equilibrium properties of the spatial SIS model as a point pattern dynamics - How is infection distributed over space?

Hamada, M., & Takasu, F. (2019) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2019.02.005 · Cited by 6

Using video-analysis technology to estimate social mixing and simulate influenza transmission at a mass gathering

Rainey, J. J., Koch, D. B., Chen, Y.-H., Yuan, J., & Cheriyadat, A. (2021) · Epidemics · doi:10.1016/j.epidem.2021.100466 · Cited by 6

Networks in Epidemiology

Eames, K. T. D., & Read, J. M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-92191-2_8 · Cited by 6

The unavoidable costs and unexpected benefits of parasitism: Population and metapopulation models of parasite-mediated competition

Kuo, C., Corby‐Harris, V., & Promislow, D. (2007) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2007.10.004 · Cited by 6

A Mathematical Model for Invasion Range of Population Dispersion Through a Patchy Environment

Seno, H., & Koshiba, S. (2005) · Biological Invasions · doi:10.1007/s10530-005-5211-0 · Cited by 6

Network vulnerability assessment under cascading failures

Shen, Y., & Thai, M. T. (2013) · Globecom · doi:10.1109/glocom.2013.6831290 · Cited by 6

Phase transitions in cellular automata models of spatial susceptible–infected–resistant–susceptible epidemics

Zhi-Zhen, Z., & Wang, A. (2009) · Chinese Physics B · doi:10.1088/1674-1056/18/2/019 · Cited by 6

EPIDEMIC SPREADING IN A COMPLEX NETWORK

He, M., Wang, B., Xiao, X., & SUN, L. (2007) · International Journal of Modern Physics C · doi:10.1142/s0129183107011522 · Cited by 6

The impact of resource quality on the evolution of virulence in spatially heterogeneous environments

Su, M., & Boots, M. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.12.017 · Cited by 6

How Local Interactions Impact the Dynamics of an Epidemic

Wren, L., & Best, A. (2021) · Bulletin of Mathematical Biology · doi:10.1007/s11538-021-00961-w · Cited by 5

Aspiration Can Promote Cooperation in Well-Mixed Populations As in Regular Graphs

Kroumi, D. (2020) · Dynamic Games and Applications · doi:10.1007/s13235-020-00368-7 · Cited by 6

Bifurcation and propagation dynamics of a discrete pair SIS epidemic model on networks with correlation coefficient

Wang, X., & Wang, Z. (2022) · Applied Mathematics and Computation · doi:10.1016/j.amc.2022.127477 · Cited by 5

An Empirical Spatial Network Model Based on Human Mobility for Epidemiological Research: A Case Study

Xu, C. G., Jin, L., & Lee, L. (2023) · Annals of the American Association of Geographers · doi:10.1080/24694452.2023.2187339 · Cited by 5

AREA: A Mobile Application for Rapid Epidemiology Assessment

de Visser, E. J., Freedy, E., Payne, J. J., & Freedy, A. (2015) · Procedia Engineering · doi:10.1016/j.proeng.2015.06.092 · Cited by 5

AN INDIVIDUAL-BASED NETWORKED MODEL WITH PROBABILISTIC RELOCATION OF PEOPLE AND VECTORS AMONG LOCATIONS FOR SIMULATING THE SPREAD OF INFECTIOUS DISEASES

Vittorini, P., Villani, A., & di Orio, F. (2010) · Journal of Biological Systems · doi:10.1142/s0218339010003548 · Cited by 5

Cellular Probabilistic Automata---A Novel Method for Uncertainty Propagation

Kohler, D., Müller, J., & Wever, U. (2014) · SIAM/ASA Journal on Uncertainty Quantification · doi:10.1137/120897183 · Cited by 5

Dynamics of a link-type independent adaptive epidemic model

Szabó, A. (2017) · Differential Equations & Applications · doi:10.7153/dea-09-09 · Cited by 5

Host population structure impedes reversion to drug sensitivity after discontinuation of treatment

Liechti, J. I., Leventhal, G. E., & Bonhoeffer, S. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005704 · Cited by 5

Individual-Based Models for Public Health

Roche, B., & Duboz, R. (2017) · Handbook of statistics · doi:10.1016/bs.host.2017.08.008 · Cited by 5

PDE limits of stochastic SIS epidemics on networks

Lauro, F. D., Croix, J.-C., Luc Berthouze, A., & Kiss, I. Z. (2020) · Sussex Research Online (University of Sussex) · Cited by 5

Effects of void nodes on epidemic spreads in networks

Kuga, K., & Tanimoto, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-07985-9 · Cited by 5

Host contact structure is important for the recurrence of Influenza A

Jaramillo, J. M., Ma, J., den Driessche, P. V., & Yuan, S. (2018) · Journal of Mathematical Biology · doi:10.1007/s00285-018-1263-5 · Cited by 5

Interpretation of serial interferon-gamma test results to measure new tuberculosis infection among household contacts in Zambia and South Africa

Sloot, R., Shanaube, K., Claassens, M. M., Telisinghe, L., Schaap, A., Godfrey‐Faussett, P., Ayles, H., & Floyd, S. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-020-05483-9 · Cited by 5

Cluster variation approximations for a contact process living on a graph

Peyrard, N., & Franc, A. (2005) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2005.04.017 · Cited by 5

Infection processes on networks with structural uncertainty

Zager, L. A. (2008) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 5

Human Health Link to Invasive Species

Neill, P. E., & Arim, M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-409548-9.11731-2 · Cited by 6

Multi‐host pathogen transmission and the disease–diversity relationship

Toorians, M. E. M., Davies, T. J., & MacPherson, A. (2025) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.70027 · Cited by 6

The impact of contact-network structure on important epidemiological quantities of infectious disease transmission and the identification of the extremes

Avraam, D., & Hadjichrysanthou, C. (2024) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2024.112010 · Cited by 4

Edge-based modelling for disease transmission on random graphs: an application to mitigate a syphilis outbreak

Zhao, S., Saeed, S., Carter, M., Stoner, B. P., Hoover, M., Guan, H., & Magpantay, F. M. G. (2025) · Royal Society Open Science · doi:10.1098/rsos.250032 · Cited by 4

The heterogeneous herd: Drivers of close‐contact variation in African buffalo and implications for pathogen invasion

Rushmore, J., Beechler, B. R., Tavalire, H. F., Gorsich, E. E., Charleston, B., Devan‐Song, A., Glidden, C. K., & Jolles, A. E. (2023) · Ecology and Evolution · doi:10.1002/ece3.10447 · Cited by 4

Preserving Bifurcations through Moment Closures

Kuehn, C., & Mölter, J. (2024) · SIAM Journal on Applied Dynamical Systems · doi:10.1137/23m158440x · Cited by 4

Strength and weakness of disease-induced herd immunity in networks

Hiraoka, T., Ghadiri, Z., Rizi, A. K., Kivelä, M., & Saramäki, J. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2421460122 · Cited by 7

Local interactions and invasion dynamics: population growth in space and time

Murrell, D. J. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/1-4020-4925-0_7 · Cited by 4

The effects of heterogeneity on stochastic cycles in epidemics

Herrerías‐Azcué, F., & Galla, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-12606-x · Cited by 4

Colored Petri Net Model of Knowledge Flow Based on Knowledge Life Cycle

Yu, Y., Chen, Y., & Shi, Q. (2018) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-319-77926-3_6 · Cited by 4

Disruptive innovation in the economic organization of China and the West

Root, H. L. (2022) · Journal of Institutional Economics · doi:10.1017/s1744137422000224 · Cited by 5

Heterogeneous pair-approximation analysis for susceptible–infectious–susceptible epidemics on networks

Wu, Q., & Chen, S. (2023) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0112058 · Cited by 4

On Parameter Identifiability in Network-Based Epidemic Models

Kiss, I. Z., & Šimon, P. (2023) · Bulletin of Mathematical Biology · doi:10.1007/s11538-023-01121-y · Cited by 4

Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure

Jing, W., Zhang, J., & Zhang, X. (2023) · Complexity · doi:10.1155/2023/4591403 · Cited by 4

Food availability leads to more connected contact networks among peridomestic zoonotic reservoir hosts

Kuenzi, A., & Luis, A. D. (2023) · Royal Society Open Science · doi:10.1098/rsos.230809 · Cited by 3

Application of pair approximation method to modeling and analysis of a marriage network

Pei, X., Zhan, X., & Jin, Z. (2016) · Applied Mathematics and Computation · doi:10.1016/j.amc.2016.09.010 · Cited by 4

Models of kleptoparasitism on networks: the effect of population structure on food stealing behaviour

Hadjichrysanthou, C., Broom, M., & Rychtář, J. (2017) · Journal of Mathematical Biology · doi:10.1007/s00285-017-1177-7 · Cited by 4

Effective Degree Theory on Multiplex Networks for Concurrent Three-State Spreading Dynamics

Zhou, Y., Teng, C., & Zhou, J. (2019) · IEEE Access · doi:10.1109/access.2019.2919955 · Cited by 4

Dynamical correlations and pairwise theory for the symbiotic contact process on networks

de Oliveira, M. M., Alves, S. G., & Ferreira, S. C. (2019) · Physical review. E · doi:10.1103/physreve.100.052302 · Cited by 4

Extinction threshold for spatial forest dynamics with height structure

Domingo, J. L. G., & Saldaña, J. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2011.02.003 · Cited by 4

Spatial self-organization in a multi-strain host–pathogen system

Liu, Q., Wang, R.-H., Jin, Z., van de Koppel, J., & Alonso, D. (2010) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2010/05/p05017 · Cited by 4

Improving pairwise approximations for network models with susceptible-infected-susceptible dynamics

Leng, T., & Keeling, M. J. (2020) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2020.110328 · Cited by 4

Terrorism: Mechanisms of Radicalization Processes, Control of Contagion and Counter-Terrorist MeasuresPreprint

Cherif, A., Yoshioka, H., Ni, W., & Bose, P. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0910.5272 · Cited by 4

Quantifying age-specific household contacts in Aotearoa New Zealand for infectious disease modelling

Sullivan, C., Senanayake, P., & Plank, M. J. (2024) · Royal Society Open Science · doi:10.1098/rsos.240550 · Cited by 4

Optimal reduction of an epidemic outbreak size via temporary quarantine

Atias, E., & Assaf, M. (2025) · Physical review. E · doi:10.1103/physreve.111.034305 · Cited by 3

Pairwise network models in epidemiology: a review of approximations, dynamics, and applications

Abubakar, M. S., Aremu, K. O., & Aphane, M. (2025) · Applied Network Science · doi:10.1007/s41109-025-00763-2 · Cited by 3

Simulation applications to support teaching and research in epidemiological dynamics

Getz, W. M., Salter, R. M., & Vissat, L. L. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03674-3 · Cited by 5

Dynamical analysis of a complex competitive two-strain epidemic network model with vaccination

Abdelkhalek, A., Kader, A. H. A., El-Kalla, I. L., Elsaid, A., Elsonbaty, A., & Nisar, K. S. (2025) · Partial Differential Equations in Applied Mathematics · doi:10.1016/j.padiff.2024.101058 · Cited by 3

An Optimal Network that Promotes the Spread of an Advantageous Variant in an Sir Epidemic

Lopez, S., & Komarova, N. L. (2024) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2025.112095 · Cited by 3

Improving epidemic control strategies by extended detection

Karp, P., Dybiec, B., & Kleczkowski, A. (2013) · International Journal of Modern Physics C · doi:10.1142/s0129183113501064 · Cited by 3

The evolutionary dynamics of a spatial multi-strain host–pathogen system with cross-immunity

Wang, R.-H., Jin, Z., & Liu, Q. (2011) · Nonlinear Analysis Hybrid Systems · doi:10.1016/j.nahs.2011.05.008 · Cited by 3

Network-based analysis of a small Ebola outbreak

Burch, M. G., Jacobsen, K. A., Tien, J. H., & Rempała, G. A. (2016) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2017005 · Cited by 3

Research Priorities and Trends in Infections Shared with Wildlife

Gortázar, C., Vicente, J., Villar, M., Ruiz‐Fons, F., Höfle, Ú., & de la Fuente, J. (2016) · Wildlife research monographs · doi:10.1007/978-3-319-27912-1_3 · Cited by 3

Cellular Automaton and Tacit Knowledge Sharing

Yu, Y., Chen, Y., & Shi, Q. (2018) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-319-77926-3_8 · Cited by 3

Microscopic edge-based compartmental modeling method for analyzing the susceptible-infected-recovered epidemic spreading on networks

Wu, Q., & Chen, S. (2021) · Physical review. E · doi:10.1103/physreve.104.024306 · Cited by 3

Data from: It’s all about connections: hubs and invasion in habitat networks

Morel‐Journel, T., Assa, C. R., Mailleret, L., & Vercken, E. (2018) · Data Archiving and Networked Services (DANS) · doi:10.5061/dryad.1g3gp03

Its all about connections: hubs and invasion in habitat networks

Morel‐Journel, T., Assa, C. R., Mailleret, L., & Vercken, E. (2018) · Ecology Letters · doi:10.1111/ele.13192 · Cited by 34

Invasion Dynamics in Spatially Heterogeneous Environments

Schreiber, S. J., & Lloyd‐Smith, J. O. (2009) · The American Naturalist · doi:10.1086/605405 · Cited by 114

An Improved Solution to Identify Spatial Invasion on Metapopulation Networks with SI model

Peng, Y., Hu, B., Feng, H., Li, X., & Li, C. (2021) · Chinese Control Conference (CCC) · doi:10.23919/ccc52363.2021.9549452

Spatiotemporal patterns in models of biological invasion and epidemic spread

Hilker, F. M. (2005) · Cited by 4