[HTML][HTML] Modeling epidemic spread in transportation networks: A review
J Li, T **-andrew-lawson" data-clk="hl=sl&sa=T&ct=res&cd=3&d=3688541214125613463&ei=Hc_HZ42DJNq16rQPjs6rqQ8" data-clk-atid="l2FYB7FUMDMJ" target="_blank">Bayesian disease map**: hierarchical modeling in spatial epidemiology
AB Lawson - 2018 - taylorfrancis.com
Since the publication of the second edition, many new Bayesian tools and methods have
been developed for space-time data analysis, the predictive modeling of health outcomes …
been developed for space-time data analysis, the predictive modeling of health outcomes …
Power-law models for infectious disease spread
Power-law models for infectious disease spread Page 1 The Annals of Applied Statistics 2014,
Vol. 8, No. 3, 1612–1639 DOI: 10.1214/14-AOAS743 © Institute of Mathematical Statistics, 2014 …
Vol. 8, No. 3, 1612–1639 DOI: 10.1214/14-AOAS743 © Institute of Mathematical Statistics, 2014 …
Inference in epidemic models without likelihoods
Likelihood-based inference for epidemic models can be challenging, in part due to
difficulties in evaluating the likelihood. The problem is particularly acute in models of large …
difficulties in evaluating the likelihood. The problem is particularly acute in models of large …
How to make predictions about future infectious disease risks
M Woolhouse - … Transactions of the Royal Society B …, 2011 - royalsocietypublishing.org
Formal, quantitative approaches are now widely used to make predictions about the
likelihood of an infectious disease outbreak, how the disease will spread, and how to control …
likelihood of an infectious disease outbreak, how the disease will spread, and how to control …
A hierarchical Bayesian network-based semi-mechanistic model for handling data variabilities in dynamical process systems
This work presents a hierarchical Bayesian network-based model for handling dynamic
nature, data variabilities, and information fusion in a dynamical process system. The overall …
nature, data variabilities, and information fusion in a dynamical process system. The overall …
Bayesian analysis for emerging infectious diseases
Infectious diseases both within human and animal populations often pose serious health
and socioeconomic risks. From a statistical perspective, their prediction is complicated by …
and socioeconomic risks. From a statistical perspective, their prediction is complicated by …
Epidemic reconstruction in a phylogenetics framework: transmission trees as partitions of the node set
The use of genetic data to reconstruct the transmission tree of infectious disease epidemics
and outbreaks has been the subject of an increasing number of studies, but previous …
and outbreaks has been the subject of an increasing number of studies, but previous …