Junling MaSummaryAffiliation: University of Victoria Country: Canada Publications
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Publications
 Estimating initial epidemic growth ratesJunling Ma
Mathematics and Statistics, University of Victoria, Victoria, BC, Canada
Bull Math Biol 76:24560. 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 325:1221. 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 66:7594. 2013..This model illustrates how households (clusters) can affect disease dynamics in a complicated way...  Agespecific mortality risk from pandemic influenzaJunling Ma
Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada
J Theor Biol 288:2934. 2011..This information should help pandemic planners to identify age groups that might respond differently to novel influenza strains...  The coexistence or replacement of two subtypes of influenzaSarder Mohammed Asaduzzaman
Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8W 2Y2, Canada Electronic address
Math Biosci 270:19. 2015..Vaccination against the seasonal subtype is found to slightly increase this range for pandemic replacement, with the range increasing with increasing vaccine protection and with the length of time that vaccineinduced immunity lasts. ..  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 67:21738. 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 62:14364. 2011..Thus unlike the classical homogeneous mixing disease models, the SIS and SIR effective degree models have different disease threshold conditions...