Research Topics
| Lauren Ancel MeyersSummaryAffiliation: University of Texas Country: USA Publications
| Collaborators
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Detail Information
Publications
Vaccination against 2009 pandemic H1N1 in a population dynamical model of Vancouver, Canada: timing is everythingJessica M Conway
Division of Mathematical Modeling, University of British Columbia Centre for Disease Control, 655 West 12th Avenue, V5Z 4R4 Vancouver, British Columbia, Canada
BMC Public Health 11:932. 2011..We adapted a city-level contact network model to study different campaigns on influenza morbidity and mortality...- Optimal H1N1 vaccination strategies based on self-interest versus group interestEunha Shim
Deparment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
BMC Public Health 11:S4. 2011..This exposure affects the spread of the disease and needs to be considered when prioritizing vaccine distribution... - The dynamics of risk perceptions and precautionary behavior in response to 2009 (H1N1) pandemic influenzaYoko Ibuka
Department of Epidemiology and Public Health, Yale School of Medicine, 60 College Street, New Haven, CT 06520, USA
BMC Infect Dis 10:296. 2010..We assessed temporal changes and geographical differences in risk perceptions and precautionary behaviors in response to H1N1 influenza... - Exploring biological network structure with clustered random networksShweta Bansal
Center for Infectious Disease Dynamics, Penn State University, University Park, PA 16802, USA
BMC Bioinformatics 10:405. 2009..Simple network models can help us quantify the structure of empirical networked systems and understand the impact of various topological properties on dynamics... 
On the abundance of polyploids in flowering plantsLauren Ancel Meyers
Section of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
Evolution 60:1198-206. 2006..Based on these estimates, the model predicts distributions of ploidal levels statistically similar to those observed in nine of the 10 genera...- Predicting epidemics on directed contact networksLauren Ancel Meyers
Section of Integrative Biology and Institute for Cellular and Molecular Biology, University of Texas at Austin, 1 University Station C0930, Austin, TX 78712, USA
J Theor Biol 240:400-18. 2006..We furthermore demonstrate that these methods more accurately predict the vulnerability of HCWs and the efficacy of various hospital-based containment strategies during outbreaks of severe respiratory diseases... - Network theory and SARS: predicting outbreak diversityLauren Ancel Meyers
Section of Integrative Biology and Institute for Cellular and Molecular Biology, University of Texas at Austin, 1 University Station C0930, Austin, TX 78712, USA
J Theor Biol 232:71-81. 2005..We offer quantitative insight into the heterogeneity of SARS outbreaks worldwide, and illustrate the utility of this approach for assessing public health strategies... - The ascent of the abundant: how mutational networks constrain evolutionMatthew C Cowperthwaite
Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA
PLoS Comput Biol 4:e1000110. 2008..This supports an "ascent of the abundant" hypothesis, in which evolution yields abundant phenotypes even when they are not the most fit... - Epidemic thresholds in dynamic contact networksErik Volz
Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA
J R Soc Interface 6:233-41. 2009..We show that social mixing fundamentally changes the epidemiological landscape and, consequently, that static network approximations of dynamic networks can be inadequate... - Susceptible-infected-recovered epidemics in dynamic contact networksErik Volz
Department of Integrative Biology, University of Texas at Austin, 1 University Station, C0930, Austin, TX 78712, USA
Proc Biol Sci 274:2925-33. 2007..Using epidemiological and sexual contact data from an Atlanta high school, we demonstrate the application of this method for forecasting and controlling sexually transmitted disease outbreaks... - Optimizing provider recruitment for influenza surveillance networksSamuel V Scarpino
The University of Texas at Austin, Section of Integrative Biology, Austin, Texas, United States of America
PLoS Comput Biol 8:e1002472. 2012..We show further that Google Flu Trends data, when incorporated into a network as a virtual provider, can enhance but not replace traditional surveillance methods... - When individual behaviour matters: homogeneous and network models in epidemiologyShweta Bansal
Computational and Applied Mathematics, Institute for Computational Engineering and Sciences, University of Texas at Austin, 1 University Station, C0200, Austin, TX 78712, USA
J R Soc Interface 4:879-91. 2007..In general, however, network models are more intuitive and accurate for predicting disease spread through heterogeneous host populations... - The robustness of naturally and artificially selected nucleic acid secondary structuresLauren Ancel Meyers
Section of Integrative Biology, University of Texas at Austin, 1 University Station C0930, Austin, TX 78712, USA
J Mol Evol 58:681-91. 2004..The thermostability of RNA molecules bred in the laboratory is probably not constrained by a lack of suitable variation in the sequence pool but, rather, by intrinsic biases in the selection process... - Optimizing tactics for use of the U.S. antiviral strategic national stockpile for pandemic influenzaNedialko B Dimitrov
ORIE Program, University of Texas at Austin, Austin, Texas, United States of America
PLoS ONE 6:e16094. 2011.... 
Quasispecies made simpleJ J Bull
Institute for Cellular and Molecular Biology, Section of Integrative Biology, University of Texas, Austin, Texas, United States of America
PLoS Comput Biol 1:e61. 2005..Based on this framework, we argue that the lethal mutagenesis of a viral infection by mutation-inducing drugs is not a true error catastophe, but is an extinction catastrophe...- Distributions of beneficial fitness effects in RNAMatthew C Cowperthwaite
Institute for Cellular and Molecular Biology, University of Texas, Austin, Texas 78712, USA
Genetics 170:1449-57. 2005..Although in conflict with the current theory, these results suggest that more complex statistical generalizations about beneficial mutations may be possible... - Epidemiology, hypermutation, within-host evolution and the virulence of Neisseria meningitidisLauren Ancel Meyers
Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX 78712 0253, USA
Proc Biol Sci 270:1667-77. 2003..We present evidence for and suggest experimental and retrospective tests of these hypotheses... - Aptamer databaseJennifer F Lee
Department of Chemistry and Biochemistry, Institute for Cell and Molecular Biology, University of Texas at Austin, 1 University Station A4800, Austin, TX 78712, USA
Nucleic Acids Res 32:D95-100. 2004..The database is updated monthly and is publicly available at http://aptamer. icmb.utexas.edu/... - Modeling control strategies of respiratory pathogensBabak Pourbohloul
Division of Mathematical Modeling, University of British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
Emerg Infect Dis 11:1249-56. 2005..Contact network epidemiology can provide valuable quantitative input to public health decisionmaking, even before a pathogen is well characterized... - From bad to good: Fitness reversals and the ascent of deleterious mutationsMatthew C Cowperthwaite
The Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, United States of America
PLoS Comput Biol 2:e141. 2006..Despite the relative importance of fitness reversals, however, the probabilities of fixation for both initially beneficial and initially deleterious mutations were exceedingly small (on the order of 10(-5) of all mutations)... - A comparative analysis of influenza vaccination programsShweta Bansal
Computational and Applied Mathematics, University of Texas Austin, Austin, Texas, United States of America
PLoS Med 3:e387. 2006..When such information is unreliable or not available, as is often the case, this study recommends mortality-based vaccination priorities...