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Revealing mechanisms of infectious disease transmission through empirical contact networks

https://doi.org/10.1101/169573
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/rsa.3240060204openalex-snapshot
A critical point for random graphs with a given degree sequence
inferredcites →https://doi.org/10.1007/978-1-4757-4145-2openalex-snapshot
Monte Carlo Statistical Methods
inferredcites →https://doi.org/10.1007/s00265-010-0964-6openalex-snapshot
Refuge sharing network predicts ectoparasite load in a lizard
inferredcites →https://doi.org/10.1007/s00265-012-1376-6openalex-snapshot
Wildlife contact analysis: emerging methods, questions, and challenges
inferredcites →https://doi.org/10.1007/s00265-016-2136-9openalex-snapshot
Inferring social structure and its drivers from refuge use in the desert tortoise, a relatively solitary species
inferredcites →https://doi.org/10.1007/s00442-007-0834-8openalex-snapshot
Contact networks and transmission of an intestinal pathogen in bumble bee (Bombus impatiens) colonies
inferredcites →https://doi.org/10.1016/j.anbehav.2015.03.005openalex-snapshot
The consequences of unidentifiable individuals for the analysis of an animal social network
inferredcites →https://doi.org/10.1016/j.ecocom.2005.04.005openalex-snapshot
The impacts of network topology on disease spread
inferredcites →https://doi.org/10.1016/j.epidem.2011.01.002openalex-snapshot
Statistical inference to advance network models in epidemiology
inferredcites →https://doi.org/10.1016/j.epidem.2014.07.003openalex-snapshot
Eight challenges for network epidemic models
inferredcites →https://doi.org/10.1016/j.epidem.2014.08.006openalex-snapshot
Six challenges in measuring contact networks for use in modelling
inferredcites →https://doi.org/10.1016/j.ijpara.2010.06.002openalex-snapshot
Social network structure and parasite infection patterns in a territorial reptile, the tuatara (Sphenodon punctatus)
inferredcites →https://doi.org/10.1016/j.ijppaw.2013.09.001openalex-snapshot
Networks and the ecology of parasite transmission: A framework for wildlife parasitology
inferredcites →https://doi.org/10.1016/j.tree.2013.06.002openalex-snapshot
Reality mining of animal social systems
inferredcites →https://doi.org/10.1017/s095026880600673xopenalex-snapshot
Design and analysis of small-scale transmission experiments with animals
inferredcites →https://doi.org/10.1038/srep04472openalex-snapshot
Highly dynamic animal contact network and implications on disease transmission
inferredcites →https://doi.org/10.1073/pnas.1613616114openalex-snapshot
Unraveling the disease consequences and mechanisms of modular structure in animal social networks
inferredcites →https://doi.org/10.1080/01621459.1995.10476572openalex-snapshot
Bayes Factors
inferredcites →https://doi.org/10.1080/10635150500433722openalex-snapshot
Computing Bayes Factors Using Thermodynamic Integration
inferredcites →https://doi.org/10.1080/17513758.2010.503376openalex-snapshot
The dynamic nature of contact networks in infectious disease epidemiology
inferredcites →https://doi.org/10.1086/670067openalex-snapshot
emcee : The MCMC Hammer
inferredcites →https://doi.org/10.1093/beheco/14.3.438openalex-snapshot
A survey of the statistical power of research in behavioral ecology and animal behavior
inferredcites →https://doi.org/10.1098/rsif.2007.1100openalex-snapshot
When individual behaviour matters: homogeneous and network models in epidemiology
inferredcites →https://doi.org/10.1098/rsif.2012.0578openalex-snapshot
Inferring population-level contact heterogeneity from common epidemic data
inferredcites →https://doi.org/10.1098/rsif.2016.0166openalex-snapshot
Evaluating empirical contact networks as potential transmission pathways for infectious diseases
inferredcites →https://doi.org/10.1098/rspb.2007.1159openalex-snapshot
Susceptible–infected–recovered epidemics in dynamic contact networks
inferredcites →https://doi.org/10.1098/rspb.2008.1824openalex-snapshot
Network-based diffusion analysis: a new method for detecting social learning
inferredcites →https://doi.org/10.1098/rstb.2014.0107openalex-snapshot
Infectious disease transmission and contact networks in wildlife and livestock
inferredcites →https://doi.org/10.1098/rstb.2016.0083openalex-snapshot
The evolution of transmission mode
inferredcites →https://doi.org/10.1101/106633openalex-snapshot
Disease implications of animal social network structure: a synthesis across social systems
inferredcites →https://doi.org/10.1103/physreve.66.016128openalex-snapshot
Spread of epidemic disease on networks
inferredcites →https://doi.org/10.1103/physreve.76.031919openalex-snapshot
How disease models in static networks can fail to approximate disease in dynamic networks
inferredcites →https://doi.org/10.1111/1365-2656.12418openalex-snapshot
Constructing, conducting and interpreting animal social network analysis
inferredcites →https://doi.org/10.1111/1365-2656.12511openalex-snapshot
Host contact and shedding patterns clarify variation in pathogen exposure and transmission in threatened tortoiseGopherus agassizii: implications for disease modelling and management
inferredcites →https://doi.org/10.1111/1365-2656.12659openalex-snapshot
The dynamics of transmission and the dynamics of networks
inferredcites →https://doi.org/10.1111/1365-2656.12664openalex-snapshot
Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep
inferredcites →https://doi.org/10.1111/1365-2656.12786openalex-snapshot
Disease implications of animal social network structure: A synthesis across social systems
inferredcites →https://doi.org/10.1111/2041-210x.12306openalex-snapshot
Power analysis for generalized linear mixed models in ecology and evolution
inferredcites →https://doi.org/10.1111/brv.12236openalex-snapshot
Using contact networks to explore mechanisms of parasite transmission in wildlife
inferredcites →https://doi.org/10.1111/ele.12181openalex-snapshot
Individual personalities predict social behaviour in wild networks of great tits ( Parus major)
inferredcites →https://doi.org/10.1111/j.1365-2656.2011.01825.xopenalex-snapshot
Using social networks to deduce whether residents or dispersers spread parasites in a lizard population
inferredcites →https://doi.org/10.1111/j.1365-294x.2012.05653.xopenalex-snapshot
Social networks and the spread of Salmonella in a sleepy lizard population
inferredcites →https://doi.org/10.1111/j.1461-0248.2009.01370.xopenalex-snapshot
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
inferredcites →https://doi.org/10.1111/j.1467-9469.2010.00721.xopenalex-snapshot
Bayesian Inference for Contact Networks Given Epidemic Data
inferredcites →https://doi.org/10.1126/science.1194134openalex-snapshot
Contact Network Structure Explains the Changing Epidemiology of Pertussis
inferredcites →https://doi.org/10.1155/2011/676949openalex-snapshot
Network Models: An Underutilized Tool in Wildlife Epidemiology?
inferredcites →https://doi.org/10.1371/journal.pone.0051144openalex-snapshot
Monkeys in the Middle: Parasite Transmission through the Social Network of a Wild Primate
inferredcites →https://doi.org/10.2307/2289463openalex-snapshot
The Calculation of Posterior Distributions by Data Augmentation: Rejoinder
inferredcites →https://doi.org/10.48550/arxiv.1011.5950openalex-snapshot
Networks and the Epidemiology of Infectious Disease

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The costs and benefits of sunflower pollen diet on bumble bee colony disease and health
inferred← citeshttps://doi.org/10.1016/j.epidem.2021.100521openalex-snapshot
Transmission dynamics of an antimicrobial resistant Campylobacter jejuni lineage in New Zealand’s commercial poultry network
inferred← citeshttps://doi.org/10.1093/aje/kwy209openalex-snapshot
Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India
inferred← citeshttps://doi.org/10.1098/rsos.240663openalex-snapshot
High infectivity and waterborne transmission of seagrass wasting disease
inferred← citeshttps://doi.org/10.1103/physreve.103.052304openalex-snapshot
Building surrogate temporal network data from observed backbones
inferred← citeshttps://doi.org/10.1111/1365-2656.13356openalex-snapshot
Unifying spatial and social network analysis in disease ecology
inferred← citeshttps://doi.org/10.12693/aphyspola.133.1421openalex-snapshot
The Mathematics of Human Contact: Developing a Model for Social Interaction in School Children
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