| review article | Q7318358 |
| scholarly article | Q13442814 |
| P50 | author | Gareth Roberts | Q5522957 |
| Leon Danon | Q56773001 | ||
| Joshua V. Ross | Q55475787 | ||
| Thomas House | Q41045027 | ||
| Matt J. Keeling | Q41045046 | ||
| P2093 | author name string | Ashley P Ford | |
| Chris P Jewell | |||
| Matthew C Vernon | |||
| P2860 | cites work | Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility | Q21245267 |
| Statistical mechanics of complex networks | Q21563680 | ||
| Finding and evaluating community structure in networks | Q21563748 | ||
| The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles. | Q24529108 | ||
| The architecture of complex weighted networks | Q24631525 | ||
| Transmission dynamics and control of severe acute respiratory syndrome | Q24654906 | ||
| Perspectives on the basic reproductive ratio | Q24669998 | ||
| Topographic determinants of foot and mouth disease transmission in the UK 2001 epidemic. | Q25257493 | ||
| Multiscale mobility networks and the spatial spreading of infectious diseases | Q27230870 | ||
| Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions | Q27307675 | ||
| Assortative Mixing in Networks | Q27349399 | ||
| Epidemic Spreading in Scale-Free Networks | Q27450819 | ||
| Collective dynamics of 'small-world' networks | Q27861064 | ||
| Sexual lifestyles and HIV risk | Q28203712 | ||
| Transmission dynamics of HIV infection | Q28305266 | ||
| When individual behaviour matters: homogeneous and network models in epidemiology | Q28754461 | ||
| Social contacts and mixing patterns relevant to the spread of infectious diseases | Q28755323 | ||
| Host community structure and the maintenance of pathogen diversity. | Q55517808 | ||
| Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator | Q55871551 | ||
| The Structure and Function of Complex Networks | Q55879008 | ||
| Reality mining: sensing complex social systems | Q56221736 | ||
| An Experimental Study of the Small World Problem | Q56386469 | ||
| Snowball Sampling | Q56505047 | ||
| Respondent-Driven Sampling: A New Approach to the Study of Hidden Populations | Q56505053 | ||
| Exact stochastic simulation of coupled chemical reactions | Q56536017 | ||
| A critical point for random graphs with a given degree sequence | Q56564362 | ||
| Random Graphs with Clustering | Q56564363 | ||
| Approximate accelerated stochastic simulation of chemically reacting systems | Q56776006 | ||
| Representing the UK's cattle herd as static and dynamic networks | Q56937016 | ||
| The implications of network structure for epidemic dynamics | Q56937151 | ||
| Dynamics of the 2001 UK Foot and Mouth Epidemic: Stochastic Dispersal in a Heterogeneous Landscape | Q56937256 | ||
| The effects of local spatial structure on epidemiological invasions | Q56937333 | ||
| Analyses of infectious disease data from household outbreaks by Markov chain Monte Carlo methods | Q57393137 | ||
| Sexual behaviour in Britain: partnerships, practices, and HIV risk behaviours | Q57586552 | ||
| Recent developments in exponential random graph (p*) models for social networks | Q59200288 | ||
| Missing data in networks: exponential random graph (p∗) models for networks with non-respondents | Q59200310 | ||
| Epidemic spreading in correlated complex networks | Q61733099 | ||
| Risks of Acquiring and Transmitting Sexually Transmitted Diseases in Sexual Partner Networks | Q63364002 | ||
| Networks of sexual contacts: implications for the pattern of spread of HIV | Q69276254 | ||
| Household and community transmission parameters from final distributions of infections in households | Q70365918 | ||
| 'Small worlds' and the evolution of virulence: infection occurs locally and at a distance | Q73234100 | ||
| Concurrent partnerships and the spread of HIV | Q73236642 | ||
| Epidemic thresholds and vaccination in a lattice model of disease spread | Q73842997 | ||
| Epidemic threshold in structured scale-free networks | Q74774078 | ||
| An Exponential Family of Probability Distributions for Directed Graphs | Q114738599 | ||
| Parameterization of Keeling's network generation algorithm. | Q51873203 | ||
| Deterministic epidemic models with explicit household structure. | Q51889655 | ||
| Network epidemic models with two levels of mixing. | Q51892714 | ||
| Deterministic epidemiological models at the individual level. | Q51892955 | ||
| Susceptible-infected-recovered epidemics in dynamic contact networks. | Q51905696 | ||
| How generation intervals shape the relationship between growth rates and reproductive numbers. | Q51915815 | ||
| On analytical approaches to epidemics on networks. | Q51925282 | ||
| Spatio-temporal point processes, partial likelihood, foot and mouth disease. | Q51936164 | ||
| Pair-level approximations to the spatio-temporal dynamics of epidemics on asymmetric contact networks. | Q51939357 | ||
| Synchrony, waves, and spatial hierarchies in the spread of influenza. | Q51944895 | ||
| Analysis of weighted networks. | Q51982172 | ||
| SIS epidemics with household structure: the self-consistent field method. | Q51996828 | ||
| Monogamous networks and the spread of sexually transmitted diseases. | Q51999096 | ||
| Statistical inference and model selection for the 1861 Hagelloch measles epidemic. | Q52000393 | ||
| Large shifts in pathogen virulence relate to host population structure. | Q52003746 | ||
| Containing bioterrorist smallpox. | Q52028448 | ||
| A general model for stochastic SIR epidemics with two levels of mixing. | Q52030177 | ||
| Epidemiology. How viruses spread among computers and people. | Q52062461 | ||
| Epidemics and percolation in small-world networks. | Q52072636 | ||
| Measures of concurrency in networks and the spread of infectious disease. | Q52306731 | ||
| Modelling the initial spread of foot-and-mouth disease through animal movements. | Q53010978 | ||
| Social networks and infectious disease: the Colorado Springs Study. | Q54223807 | ||
| Contact tracing and disease control. | Q54919182 | ||
| The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak. | Q55083059 | ||
| Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain. | Q55146039 | ||
| Disease contact tracing in random and clustered networks. | Q55330218 | ||
| The role of sexual partnership networks in the epidemiology of gonorrhea. | Q50976232 | ||
| Parasite-driven extinction in spatially explicit host-parasite systems. | Q51681170 | ||
| Exact epidemic models on graphs using graph-automorphism driven lumping. | Q51701631 | ||
| Effective degree network disease models. | Q51719038 | ||
| Percolation and epidemics in random clustered networks. | Q51788891 | ||
| A motif-based approach to network epidemics. | Q51836336 | ||
| Social Network Sites: Definition, History, and Scholarship | Q29012868 | ||
| The role of the airline transportation network in the prediction and predictability of global epidemics | Q29028332 | ||
| Network motifs: simple building blocks of complex networks | Q29547340 | ||
| Strategies for mitigating an influenza pandemic | Q29615422 | ||
| Strategies for containing an emerging influenza pandemic in Southeast Asia | Q29618561 | ||
| On clusterings | Q29999158 | ||
| FluTE, a publicly available stochastic influenza epidemic simulation model | Q30227314 | ||
| Comparison of smallpox outbreak control strategies using a spatial metapopulation model | Q30230157 | ||
| Containing pandemic influenza at the source. | Q30351179 | ||
| Mitigation strategies for pandemic influenza in the United States. | Q30353646 | ||
| Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. | Q30356829 | ||
| Dynamic social networks and the implications for the spread of infectious disease. | Q30368071 | ||
| Estimating the impact of school closure on influenza transmission from Sentinel data. | Q30368755 | ||
| Vaccination against pandemic influenza A/H1N1v in England: a real-time economic evaluation. | Q30384775 | ||
| A Bayesian MCMC approach to study transmission of influenza: application to household longitudinal data. | Q30972878 | ||
| The spread of infectious diseases in spatially structured populations: an invasory pair approximation | Q31001069 | ||
| Construction of networks with intrinsic temporal structure from UK cattle movement data | Q31150633 | ||
| Sampling biases and missing data in explorations of sexual partner networks for the spread of sexually transmitted diseases | Q31991205 | ||
| The effectiveness of contact tracing in emerging epidemics | Q33267275 | ||
| Transmission parameters of the 2001 foot and mouth epidemic in Great Britain | Q33286819 | ||
| Transmission pathways of foot-and-mouth disease virus in the United Kingdom in 2007 | Q33329101 | ||
| Exploring biological network structure with clustered random networks | Q33517857 | ||
| Assessing the role of undetected colonization and isolation precautions in reducing methicillin-resistant Staphylococcus aureus transmission in intensive care units | Q33531538 | ||
| Calculation of disease dynamics in a population of households | Q33543770 | ||
| The impact of contact tracing in clustered populations | Q33548792 | ||
| Dynamics and control of diseases in networks with community structure | Q33553413 | ||
| Multiscale, resurgent epidemics in a hierarchical metapopulation model | Q33913909 | ||
| Individual identity and movement networks for disease metapopulations | Q33928589 | ||
| The foot-and-mouth epidemic in Great Britain: pattern of spread and impact of interventions | Q33942479 | ||
| The web of human sexual contacts. | Q33952386 | ||
| Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures | Q33981191 | ||
| Descriptive epidemiology of the 2001 foot-and-mouth disease epidemic in Great Britain: the first five months | Q34110984 | ||
| Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases | Q34192780 | ||
| Avian influenza A virus (H7N7) epidemic in The Netherlands in 2003: course of the epidemic and effectiveness of control measures | Q34369304 | ||
| The scaling laws of human travel | Q34488226 | ||
| Efficient step size selection for the tau-leaping simulation method | Q34491625 | ||
| Contact networks in a wild Tasmanian devil (Sarcophilus harrisii) population: using social network analysis to reveal seasonal variability in social behaviour and its implications for transmission of devil facial tumour disease | Q34998464 | ||
| The network of sheep movements within Great Britain: Network properties and their implications for infectious disease spread | Q35172088 | ||
| The accuracy of reported sensitive sexual behaviour in Britain: exploring the extent of change 1990-2000. | Q35572907 | ||
| Real-time estimates in early detection of SARS | Q35801637 | ||
| Advances in Exponential Random Graph (p*) Models Applied to a Large Social Network | Q36076248 | ||
| Forecast and control of epidemics in a globalized world | Q37589379 | ||
| Sampling individuals with large sexual networks: an evaluation of four approaches | Q37874351 | ||
| Patterns of chlamydia and gonorrhea infection in sexual networks in Manitoba, Canada | Q37874870 | ||
| Recent network evolution increases the potential for large epidemics in the British cattle population. | Q38268688 | ||
| Likelihood-based inference for stochastic models of sexual network formation | Q38882080 | ||
| Threshold parameters for a model of epidemic spread among households and workplaces | Q39231426 | ||
| Scaling laws for the movement of people between locations in a large city | Q39675109 | ||
| Modelling disease outbreaks in realistic urban social networks | Q39684931 | ||
| A novel approach to real-time risk prediction for emerging infectious diseases: a case study in Avian Influenza H5N1. | Q39970266 | ||
| Predicting undetected infections during the 2007 foot-and-mouth disease outbreak. | Q40017592 | ||
| Social networks and the spread of infectious diseases: the AIDS example | Q41364756 | ||
| Integrating stochasticity and network structure into an epidemic model | Q41659743 | ||
| Insights from unifying modern approximations to infections on networks | Q42577057 | ||
| Air travel and the spread of influenza: important caveats | Q43172009 | ||
| Containing a large bioterrorist smallpox attack: a computer simulation approach. | Q43423229 | ||
| Deterministic epidemic models on contact networks: correlations and unbiological terms | Q43942049 | ||
| Statistical inference for infectious diseases. Risk-specific household and community transmission parameters | Q44051745 | ||
| Herd size and bovine tuberculosis persistence in cattle farms in Great Britain | Q44689877 | ||
| The role of routine versus random movements on the spread of disease in Great Britain | Q45047262 | ||
| Spread of a novel influenza A (H1N1) virus via global airline transportation | Q45383197 | ||
| Network analysis of Italian cattle trade patterns and evaluation of risks for potential disease spread | Q46818239 | ||
| The effect of contact heterogeneity and multiple routes of transmission on final epidemic size | Q47341438 | ||
| Structured epidemic models and the spread of influenza in the central Canadian subarctic. | Q47769176 | ||
| Transmission dynamics of the etiological agent of SARS in Hong Kong: impact of public health interventions | Q47888803 | ||
| SIR dynamics in random networks with heterogeneous connectivity. | Q48906285 | ||
| Optimizing influenza vaccine distribution. | Q50180775 | ||
| P275 | copyright license | Creative Commons Attribution 3.0 Unported | Q14947546 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | epidemiology | Q133805 |
| infectious disease | Q18123741 | ||
| P304 | page(s) | 284909 | |
| P577 | publication date | 2011-03-16 | |
| P1433 | published in | Interdisciplinary Perspectives on Infectious Diseases | Q26842016 |
| P1476 | title | Networks and the epidemiology of infectious disease | |
| P478 | volume | 2011 |
| Q30248461 | 'Disperse abroad in the land': the role of wildlife in the dissemination of antimicrobial resistance |
| Q89823710 | A Guide to Conquer the Biological Network Era Using Graph Theory |
| Q40503505 | A Novel Statistical Model to Estimate Host Genetic Effects Affecting Disease Transmission. |
| Q42276540 | A class of pairwise models for epidemic dynamics on weighted networks. |
| Q64117679 | A dynamic power-law sexual network model of gonorrhoea outbreaks |
| Q42210893 | Algebraic moment closure for population dynamics on discrete structures |
| Q35986786 | An analytical approach to network motif detection in samples of networks with pairwise different vertex labels. |
| Q47314703 | Applications of network analysis to routinely collected health care data: a systematic review. |
| Q37285524 | Benchmarking Measures of Network Influence |
| Q28728025 | Connecting network properties of rapidly disseminating epizoonotics |
| Q47561643 | Contact networks structured by sex underpin sex-specific epidemiology of infection. |
| Q33944815 | Demographics of cattle movements in the United Kingdom |
| Q30593892 | Detectable signals of episodic risk effects on acute HIV transmission: strategies for analyzing transmission systems using genetic data |
| Q34428729 | Detecting differential transmissibilities that affect the size of self-limited outbreaks. |
| Q56980521 | Detection of mixed-strain infections by FACS and ultra-low input genome sequencing |
| Q61812003 | Differential mobility and local variation in infection attack rate |
| Q90264380 | Directed Networks as a Novel Way to Describe and Analyze Cardiac Excitation: Directed Graph Mapping |
| Q36010689 | Disease Spread through Animal Movements: A Static and Temporal Network Analysis of Pig Trade in Germany |
| Q101215908 | Drawing transmission graphs for COVID-19 in the perspective of network science |
| Q37626187 | Drivers of Rift Valley fever epidemics in Madagascar. |
| Q40505456 | Dynamics of Multi-stage Infections on Networks. |
| Q42264701 | Dynamics of stochastic epidemics on heterogeneous networks |
| Q42240743 | Efficient local behavioral-change strategies to reduce the spread of epidemics in networks |
| Q42240745 | Endemic infections are always possible on regular networks. |
| Q91907942 | Epidemic dynamics on information-driven adaptive networks |
| Q91555358 | Epidemics with mutating infectivity on small-world networks |
| Q42236878 | Epidemiology. Coming to an airport near you. |
| Q38689315 | Evidence for complex contagion models of social contagion from observational data. |
| Q35080937 | Extinction times of epidemic outbreaks in networks |
| Q40628365 | From neurons to epidemics: How trophic coherence affects spreading processes |
| Q42773999 | HIV-1 transmission networks in a small world |
| Q40368006 | Heterogeneous network epidemics: real-time growth, variance and extinction of infection. |
| Q36805161 | Host nutrition alters the variance in parasite transmission potential |
| Q60959228 | Household members do not contact each other at random: implications for infectious disease modelling |
| Q60045977 | How Physical Proximity Shapes Complex Social Networks |
| Q42145990 | Impact of regulatory perturbations to disease spread through cattle movements in Great Britain |
| Q37209131 | Individual-based approach to epidemic processes on arbitrary dynamic contact networks |
| Q35976272 | Infections on Temporal Networks--A Matrix-Based Approach |
| Q55451348 | Infections on the move: how transient phases of host movement influence disease spread. |
| Q28087766 | Infectious disease transmission and contact networks in wildlife and livestock |
| Q37470109 | Integrating molecular epidemiology and social network analysis to study infectious diseases: Towards a socio-molecular era for public health. |
| Q42260094 | Interdependency and hierarchy of exact and approximate epidemic models on networks |
| Q56998550 | Livestock trade network: potential for disease transmission and implications for risk-based surveillance on the island of Mayotte |
| Q30248812 | Mathematical models to characterize early epidemic growth: A review |
| Q40144617 | Mean-field models for non-Markovian epidemics on networks. |
| Q41685434 | Message passing and moment closure for susceptible-infected-recovered epidemics on finite networks. |
| Q39541713 | Modeling Heterogeneity in Direct Infectious Disease Transmission in a Compartmental Model. |
| Q24277713 | Modeling infectious disease dynamics in the complex landscape of global health |
| Q36395333 | Modeling the spatio-temporal dynamics of porcine reproductive & respiratory syndrome cases at farm level using geographical distance and pig trade network matrices |
| Q36093436 | Modelling of paratuberculosis spread between dairy cattle farms at a regional scale. |
| Q92211507 | Network analysis of dairy cattle movement and associations with bovine tuberculosis spread and control in emerging dairy belts of Ethiopia |
| Q33853119 | Network analysis of pig movements: Loyalty patterns and contact chains of different holding types in Denmark. |
| Q33685388 | Network epidemiology and plant trade networks |
| Q34584130 | On the robustness of in- and out-components in a temporal network |
| Q96950758 | Ophidiomycosis surveillance of snakes in Georgia, USA reveals new host species and taxonomic associations with disease |
| Q47623564 | Parasite-mediated host behavioural modifications: Gyrodactylus turnbulli infected Trinidadian guppies increase contact rates with uninfected conspecifics |
| Q64102754 | Phylogenies from dynamic networks |
| Q30151419 | Predicted Spatial Spread of Canine Rabies in Australia |
| Q89935251 | Predicting the Speed of Epidemics Spreading in Networks |
| Q37677922 | Prediction of Pig Trade Movements in Different European Production Systems Using Exponential Random Graph Models |
| Q37976554 | Research agenda for mass gatherings: a call to action |
| Q39312133 | Resilience of epidemics for SIS model on networks |
| Q40733490 | SIS Epidemic Propagation on Hypergraphs |
| Q39247561 | Seven challenges in modeling vaccine preventable diseases. |
| Q35957957 | Social Contact Networks and Mixing among Students in K-12 Schools in Pittsburgh, PA |
| Q51193974 | Social encounter networks: characterizing Great Britain. |
| Q36343991 | Social encounter networks: collective properties and disease transmission |
| Q55494136 | Social networks in relation to self-reported symptomatic infections in individuals aged 40-75 - the Maastricht study. |
| Q38784702 | Spread of competing viruses on heterogeneous networks. |
| Q42235677 | Spreading dynamics on complex networks: a general stochastic approach |
| Q54785529 | Spreading of healthy mood in adolescent social networks. |
| Q40372881 | Stochastic epidemic dynamics on extremely heterogeneous networks |
| Q47729139 | Synchrony in stochastically driven neuronal networks with complex topologies |
| Q36229438 | Systematic Approximations to Susceptible-Infectious-Susceptible Dynamics on Networks |
| Q89722594 | Systematic selection between age and household structure for models aimed at emerging epidemic predictions |
| Q39546435 | Testing the hypothesis of preferential attachment in social network formation. |
| Q40383888 | The Human Immunodeficiency Virus Endemic: Maintaining Disease Transmission in At-Risk Urban Areas |
| Q35064930 | The Western Africa ebola virus disease epidemic exhibits both global exponential and local polynomial growth rates |
| Q56933157 | The application of statistical network models in disease research |
| Q40188399 | The contact process on scale-free networks evolving by vertex updating |
| Q34408624 | The pits and falls of graphical presentation |
| Q40242669 | The relationships between message passing, pairwise, Kermack-McKendrick and stochastic SIR epidemic models |
| Q35150647 | The risk of disease to great apes: simulating disease spread in orang-utan (Pongo pygmaeus wurmbii) and chimpanzee (Pan troglodytes schweinfurthii) association networks |
| Q39261883 | Tracking socioeconomic vulnerability using network analysis: insights from an avian influenza outbreak in an ostrich production network |
| Q34465075 | Understanding the influence of all nodes in a network |
| Q52884597 | Unfolding accessibility provides a macroscopic approach to temporal networks. |
| Q36527078 | Using national movement databases to help inform responses to swine disease outbreaks in Scotland: the impact of uncertainty around incursion time |
| Q56330300 | Using network connectivity to prioritise sites for the control of invasive species |
| Q50062324 | Vector-borne disease risk indexes in spatially structured populations. |
| Q95298079 | Visualising COVID-19 Pandemic Risk through Network Connectedness |
Search more.