Jane M Heffernan

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Jianhong WuLaboratory for Industrial and Applied Mathematics, York University, Toronto, CanadaVerified email at yorku.ca
Iain MoylesAssociate Professor, York UniversityVerified email at yorku.ca
Jude KongUniversity of TorontoVerified email at utoronto.ca
Nicola Luigi BragazziDepartment of Food and Drugs, University of Parma, ItalyVerified email at unipr.it
Natasha CrowcroftProfessorVerified email at utoronto.ca
James M McCawProfessor of Mathematical Biology, School of Mathematics and Statistics, University of MelbourneVerified email at unimelb.edu.au
Jodie McVernonUniversity of Melbourne, Murdoch Childrens Research InstituteVerified email at mcri.edu.au
Redouane QesmiEST OF FezVerified email at usmba.ac.ma
Ali Asgary, PhDProfessor, Disaster & Emergency Management, York University, Toronto, CanadaVerified email at yorku.ca
Huaiping ZhuProfessor of Mathematics, York UniversityVerified email at mathstat.yorku.ca
Pengxing CaoMathematics and Statistics, University of MelbourneVerified email at unimelb.edu.au
Matthew BettiMount Allison UniversityVerified email at mta.ca
Pei YuanYork UniversityVerified email at yorku.ca
Ada Wing Chi YanImperial College LondonVerified email at imperial.ac.uk
Julien ArinoMathematics, University of ManitobaVerified email at umanitoba.ca
Jacques Bélairuniversité de montréalVerified email at dms.umontreal.ca
Beate SanderUniversity Health NetworkVerified email at uhnresearch.ca
Zachary McCarthyLaboratory for Industrial and Applied Mathematics York University, Toronto, CanadaVerified email at yorku.ca
Ye (Lennon) LiUniversity of TorontoVerified email at utoronto.ca
Zhilan fengPurdue UniversityVerified email at purdue.edu

Jane M Heffernan

Centre for Disease Modelling, Mathematics & Statistics, York University

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Perspectives on the basic reproductive ratio JM Heffernan, RJ Smith, LM Wahl Journal of the Royal Society Interface 2 (4), 281-293, 2005	1354	2005
The basic reproduction number (R0) of measles: a systematic review FM Guerra, S Bolotin, G Lim, J Heffernan, SL Deeks, Y Li, NS Crowcroft The Lancet Infectious Diseases 17 (12), e420-e428, 2017	642	2017
The effects of media reports on disease spread and important public health measurements S Collinson, K Khan, JM Heffernan PloS one 10 (11), e0141423, 2015	198	2015
Understanding vaccine hesitancy in Canada: results of a consultation study by the Canadian Immunization Research Network E Dubé, D Gagnon, M Ouakki, JA Bettinger, M Guay, S Halperin, K Wilson, ... PloS one 11 (6), e0156118, 2016	182	2016
Oscillatory viral dynamics in a delayed HIV pathogenesis model Y Wang, Y Zhou, J Wu, J Heffernan Mathematical Biosciences 219 (2), 104-112, 2009	168	2009
Implications of vaccination and waning immunity JM Heffernan, MJ Keeling Proceedings of the Royal Society B: Biological Sciences 276 (1664), 2071-2080, 2009	159	2009
Viral dynamics model with CTL immune response incorporating antiretroviral therapy Y Wang, Y Zhou, F Brauer, JM Heffernan Journal of mathematical biology 67 (4), 901-934, 2013	125	2013
Call for transparency of COVID-19 models CM Barton, M Alberti, D Ames, JA Atkinson, J Bales, E Burke, M Chen, ... Science 368 (6490), 482-483, 2020	121	2020
Interval between infections and viral hierarchy are determinants of viral interference following influenza virus infection in a ferret model KL Laurie, TA Guarnaccia, LA Carolan, AWC Yan, M Aban, S Petrie, ... The Journal of infectious diseases 212 (11), 1701-1710, 2015	110	2015
Modelling the effects of media during an influenza epidemic S Collinson, JM Heffernan BMC public health 14, 1-10, 2014	108	2014
Influence of backward bifurcation in a model of hepatitis B and C viruses R Qesmi, J Wu, J Wu, JM Heffernan Mathematical Biosciences 224 (2), 118-125, 2010	89	2010
In-host modeling SM Ciupe, JM Heffernan Infectious Disease Modelling 2 (2), 188-202, 2017	80	2017
Solving some delay differential equations with computer algebra JM Heffernan, RM Corless Mathematical Scientist 31 (1), 21-34, 2006	66	2006
De-escalation by reversing the escalation with a stronger synergistic package of contact tracing, quarantine, isolation and personal protection: feasibility of preventing a … B Tang, F Scarabel, NL Bragazzi, Z McCarthy, M Glazer, Y Xiao, ... Biology 9 (5), 100, 2020	61	2020
Innate immunity and the inter-exposure interval determine the dynamics of secondary influenza virus infection and explain observed viral hierarchies P Cao, AWC Yan, JM Heffernan, S Petrie, RG Moss, LA Carolan, ... PLoS computational biology 11 (8), e1004334, 2015	61	2015
A hepatitis B and C virus model with age since infection that exhibits backward bifurcation R Qesmi, S ElSaadany, JM Heffernan, J Wu SIAM Journal on Applied Mathematics 71 (4), 1509-1530, 2011	56	2011
Monte Carlo estimates of natural variation in HIV infection JM Heffernan, LM Wahl Journal of theoretical biology 236 (2), 137-153, 2005	54	2005
Viral dynamics of an HTLV-I infection model with intracellular delay and CTL immune response delay Y Wang, J Liu, JM Heffernan Journal of Mathematical Analysis and Applications 459 (1), 506-527, 2018	53	2018
Highly conserved cross‐reactive CD4+ T‐cell HA‐epitopes of seasonal and the 2009 pandemic influenza viruses VRSK Duvvuri, SM Moghadas, H Guo, B Duvvuri, JM Heffernan, ... Influenza and Other Respiratory Viruses 4 (5), 249-258, 2010	53	2010
Patterns of user engagement with the mobile app, Manage My Pain: results of a data mining investigation QA Rahman, T Janmohamed, M Pirbaglou, P Ritvo, JM Heffernan, ... JMIR mHealth and uHealth 5 (7), e7871, 2017	51	2017

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