| scholarly article | Q13442814 |
| P50 | author | Joel C. Miller | Q51788939 |
| P2860 | cites work | Time evolution of epidemic disease on finite and infinite networks. | Q51837391 |
| On analytical approaches to epidemics on networks. | Q51925282 | ||
| Systematic series expansions for processes on networks. | Q51941274 | ||
| The effects of local spatial structure on epidemiological invasions | Q56937333 | ||
| Properties of highly clustered networks | Q79114929 | ||
| Percolation and epidemic thresholds in clustered networks | Q79204984 | ||
| Clustering in complex networks. II. Percolation properties | Q79723387 | ||
| Dynamics of epidemics on random networks | Q80740982 | ||
| The impact of the unstructured contacts component in influenza pandemic modeling | Q27302097 | ||
| Spread of epidemic disease on networks | Q27347225 | ||
| Collective dynamics of 'small-world' networks | Q27861064 | ||
| Social contacts and mixing patterns relevant to the spread of infectious diseases | Q28755323 | ||
| Strategies for containing an emerging influenza pandemic in Southeast Asia | Q29618561 | ||
| Mitigation strategies for pandemic influenza in the United States. | Q30353646 | ||
| On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations | Q34155650 | ||
| Network-based analysis of stochastic SIR epidemic models with random and proportionate mixing | Q36344895 | ||
| Second look at the spread of epidemics on networks | Q36408381 | ||
| Modelling disease outbreaks in realistic urban social networks | Q39684931 | ||
| Network theory and SARS: predicting outbreak diversity | Q39698246 | ||
| If smallpox strikes Portland.... | Q39714967 | ||
| Predicting epidemics on directed contact networks | Q40371102 | ||
| Modelling disease spread through random and regular contacts in clustered populations | Q44232926 | ||
| Epidemic size and probability in populations with heterogeneous infectivity and susceptibility | Q47276071 | ||
| P433 | issue | 41 | |
| P921 | main subject | infectious disease | Q18123741 |
| pathogen spread | Q50156634 | ||
| P304 | page(s) | 1121-1134 | |
| P577 | publication date | 2009-03-04 | |
| P1433 | published in | Journal of the Royal Society Interface | Q2492390 |
| P1476 | title | Spread of infectious disease through clustered populations | |
| P478 | volume | 6 |
| Q35837533 | A Simulation Study Comparing Epidemic Dynamics on Exponential Random Graph and Edge-Triangle Configuration Type Contact Network Models |
| Q30660889 | A penalized likelihood approach to estimate within-household contact networks from egocentric data |
| Q33616655 | Addressing population heterogeneity and distribution in epidemics models using a cellular automata approach |
| Q27444497 | Cascades on a class of clustered random networks |
| Q37339199 | Cocirculation of infectious diseases on networks. |
| Q92058790 | Coevolution spreading in complex networks |
| Q34572042 | Comparison of contact patterns relevant for transmission of respiratory pathogens in Thailand and The Netherlands using respondent-driven sampling |
| Q24619263 | Complex social contagion makes networks more vulnerable to disease outbreaks |
| Q42379515 | Computational Population Biology: Linking the inner and outer worlds of organisms |
| Q34373076 | Contact heterogeneity and phylodynamics: how contact networks shape parasite evolutionary trees |
| Q33553413 | Dynamics and control of diseases in networks with community structure |
| Q34199593 | ESTIMATING WITHIN-HOUSEHOLD CONTACT NETWORKS FROM EGOCENTRIC DATA. |
| Q35987118 | ESTIMATING WITHIN-SCHOOL CONTACT NETWORKS TO UNDERSTAND INFLUENZA TRANSMISSION. |
| Q31161547 | Effects of contact network structure on epidemic transmission trees: implications for data required to estimate network structure |
| Q33932789 | Effects of heterogeneous and clustered contact patterns on infectious disease dynamics |
| Q30224681 | Effects of influenza antivirals on individual and population immunity over many epidemic waves. |
| Q34871016 | Epidemic spread in networks: Existing methods and current challenges |
| Q91952677 | Epidemic threshold in pairwise models for clustered networks: closures and fast correlations |
| Q51268051 | Explaining the geographical origins of seasonal influenza A (H3N2). |
| Q39284660 | How clustering affects the bond percolation threshold in complex networks. |
| Q64124080 | How heterogeneous susceptibility and recovery rates affect the spread of epidemics on networks |
| Q35632633 | Hybrid epidemics--a case study on computer worm conficker |
| Q34674462 | Identifying communities and key vertices by reconstructing networks from samples |
| Q54229630 | Impact of degree truncation on the spread of a contagious process on networks. |
| Q30380066 | Initial human transmission dynamics of the pandemic (H1N1) 2009 virus in North America. |
| Q39920457 | Invasion threshold in structured populations with recurrent mobility patterns |
| Q42084662 | Is network clustering detectable in transmission trees? |
| Q50542270 | Large-scale properties of clustered networks: implications for disease dynamics. |
| Q35213941 | Link removal for the control of stochastically evolving epidemics over networks: a comparison of approaches |
| Q30248812 | Mathematical models to characterize early epidemic growth: A review |
| Q35671092 | Modelling challenges in context: lessons from malaria, HIV, and tuberculosis |
| Q35185440 | Modelling the performance of isoniazid preventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure |
| Q30399493 | Network theory may explain the vulnerability of medieval human settlements to the Black Death pandemic. |
| Q92451422 | Networks of face-to-face social contacts in Niakhar, Senegal |
| Q37453160 | Online respondent-driven sampling for studying contact patterns relevant for the spread of close-contact pathogens: a pilot study in Thailand. |
| Q35540336 | Opposing effects of allogrooming on disease transmission in ant societies. |
| Q35550963 | Optimizing hybrid spreading in metapopulations |
| Q51356096 | Outbreak analysis of an SIS epidemic model with rewiring. |
| Q34845669 | Pairwise and edge-based models of epidemic dynamics on correlated weighted networks |
| Q51021059 | Population viscosity suppresses disease emergence by preserving local herd immunity. |
| Q90683937 | Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households |
| Q42130152 | Risk factors for the evolutionary emergence of pathogens |
| Q58994770 | SEIR Epidemic Dynamics in Random Networks |
| Q54214035 | SIR dynamics in random networks with communities. |
| Q33612165 | Sheep movement networks and the transmission of infectious diseases |
| Q40242669 | The relationships between message passing, pairwise, Kermack-McKendrick and stochastic SIR epidemic models |
| Q51722261 | The reproduction number of seasonal influenza epidemics in Brazil, 1996-2006. |
| Q35619149 | The role of vaccination coverage, individual behaviors, and the public health response in the control of measles epidemics: an agent-based simulation for California |
| Q51575729 | The unreasonable effectiveness of tree-based theory for networks with clustering. |
| Q33761261 | Untangling the Interplay between Epidemic Spread and Transmission Network Dynamics |
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