Junling Ma

Summary

Affiliation: University of Victoria
Country: Canada

Publications

  1. doi request reprint Estimating initial epidemic growth rates
    Junling Ma
    Mathematics and Statistics, University of Victoria, Victoria, BC, Canada
    Bull Math Biol 76:245-60. 2014
  2. doi request reprint The importance of contact network topology for the success of vaccination strategies
    Junling Ma
    Department of Mathematics and Statistics, University of Victoria, Victoria BC, Canada V8W 3R4
    J Theor Biol 325:12-21. 2013
  3. doi request reprint Effective degree household network disease model
    Junling Ma
    Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8W 3R4, Canada
    J Math Biol 66:75-94. 2013
  4. doi request reprint Age-specific mortality risk from pandemic influenza
    Junling Ma
    Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada
    J Theor Biol 288:29-34. 2011
  5. doi request reprint Edge removal in random contact networks and the basic reproduction number
    Dean Koch
    Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8W 3R4, Canada
    J Math Biol 67:217-38. 2013
  6. doi request reprint Effective degree network disease models
    Jennifer Lindquist
    Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada
    J Math Biol 62:143-64. 2011

Detail Information

Publications6

  1. doi request reprint Estimating initial epidemic growth rates
    Junling 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. ..
  2. doi request reprint The importance of contact network topology for the success of vaccination strategies
    Junling 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...
  3. doi request reprint Effective degree household network disease model
    Junling 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...
  4. doi request reprint Age-specific mortality risk from pandemic influenza
    Junling 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...
  5. doi request reprint Edge removal in random contact networks and the basic reproduction number
    Dean 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...
  6. doi request reprint Effective degree network disease models
    Jennifer 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...