## Detail Information

### Publications

- Estimating initial epidemic growth ratesJunling Ma

Mathematics and Statistics, University of Victoria, Victoria, BC, Canada*Bull Math Biol*76:245-60. 2014..For mortality data, the Richards model and the delayed logistic model yield the best growth rate estimates. We also investigate the width and coverage of the confidence intervals corresponding to these fits. .. - The importance of contact network topology for the success of vaccination strategiesJunling Ma

Department of Mathematics and Statistics, University of Victoria, Victoria BC, Canada V8W 3R4*J Theor Biol*325:12-21. 2013..This demonstrates the importance of understanding the topology of realistic contact networks when evaluating vaccination strategies... - Effective degree household network disease modelJunling Ma

Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8W 3R4, Canada*J Math Biol*66:75-94. 2013..This model illustrates how households (clusters) can affect disease dynamics in a complicated way... - Age-specific mortality risk from pandemic influenzaJunling Ma

Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada*J Theor Biol*288:29-34. 2011..This information should help pandemic planners to identify age groups that might respond differently to novel influenza strains... - Edge removal in random contact networks and the basic reproduction numberDean Koch

Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8W 3R4, Canada*J Math Biol*67:217-38. 2013..Our models also allow an estimation of the number of edges that need to be removed in order to curtail an epidemic... - Effective degree network disease modelsJennifer Lindquist

Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada*J Math Biol*62:143-64. 2011..Thus unlike the classical homogeneous mixing disease models, the SIS and SIR effective degree models have different disease threshold conditions...