Epidemic predictions in an imperfect world: modelling disease spread with partial data
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Epidemic predictions in an imperfect world: modelling disease spread with partial data
Authors
Keywords
-
Journal
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Volume 282, Issue 1808, Pages 20150205-20150205
Publisher
The Royal Society
Online
2015-05-07
DOI
10.1098/rspb.2015.0205
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A dynamic model of bovine tuberculosis spread and control in Great Britain
- (2014) Ellen Brooks-Pollock et al. NATURE
- Adaptable Neighbours: Movement Patterns of GPS-Collared Leopards in Human Dominated Landscapes in India
- (2014) Morten Odden et al. PLoS One
- On the Use of Human Mobility Proxies for Modeling Epidemics
- (2014) Michele Tizzoni et al. PLoS Computational Biology
- The demographics of human and malaria movement and migration patterns in East Africa
- (2013) Deepa K Pindolia et al. MALARIA JOURNAL
- The Use of Census Migration Data to Approximate Human Movement Patterns across Temporal Scales
- (2013) Amy Wesolowski et al. PLoS One
- A Bayesian Approach for Modeling Cattle Movements in the United States: Scaling up a Partially Observed Network
- (2013) Tom Lindström et al. PLoS One
- A Dynamic Spatio-Temporal Model to Investigate the Effect of Cattle Movements on the Spread of Bluetongue BTV-8 in Belgium
- (2013) Chellafe Ensoy et al. PLoS One
- Generating social network data using partially described networks: an example informing avian influenza control in the British poultry industry
- (2012) Sema Nickbakhsh et al. BMC Veterinary Research
- Foraging Behavior and Success of a Mesopelagic Predator in the Northeast Pacific Ocean: Insights from a Data-Rich Species, the Northern Elephant Seal
- (2012) Patrick W. Robinson et al. PLoS One
- Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons
- (2012) Ian H. Stevenson et al. PLoS Computational Biology
- Structuring the Passive Surveillance Network Improves Epizootic Detection and Control Efficacy: A Simulation Study on Foot-and-Mouth Disease in France
- (2011) S. Rautureau et al. Transboundary and Emerging Diseases
- Edge direction and the structure of networks
- (2010) J. G. Foster et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Spread of E. coli O157 infection among Scottish cattle farms: Stochastic models and model selection
- (2010) Xu-Sheng Zhang et al. Epidemics
- A Modeling Framework to Describe the Transmission of Bluetongue Virus within and between Farms in Great Britain
- (2009) Camille Szmaragd et al. PLoS One
- Herd size and bovine tuberculosis persistence in cattle farms in Great Britain
- (2009) Ellen Brooks-Pollock et al. PREVENTIVE VETERINARY MEDICINE
- The role of pre-emptive culling in the control of foot-and-mouth disease
- (2009) M. J. Tildesley et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings
- (2009) C. Fraser et al. SCIENCE
- The role of routine versus random movements on the spread of disease in Great Britain
- (2009) Leon Danon et al. Epidemics
- Understanding individual human mobility patterns
- (2008) Marta C. González et al. NATURE
- Estimates for local and movement-based transmission of bovine tuberculosis in British cattle
- (2008) D. M Green et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Accuracy of models for the 2001 foot-and-mouth epidemic
- (2008) M. J Tildesley et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Representing the UK's cattle herd as static and dynamic networks
- (2008) M. C Vernon et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started