Erik M Volz

Department of Epidemiology

University of Michigan- Ann Arbor

erikvolz at umich.edu

What I do

  •      Epidemiology

         Mathematical modeling of infectious diseases; contact networks; phylodynamics and coalescent theory

  •      Survey Statistics

         Chain referral survey methods; Respondent Driven Sampling, estimation theory and sample design

  •      Complex Networks

         Statistical methods for characterizing complex social and epidemiological networks; algorithms for generating complex networks; dynamic processes on networks


  • Postdoctoral fellow, University of California- San Diego, Comparative Pathology 2007-09
  • Postdoctoral fellow, University of Texas- Austin, Integrative Biology 2006-07
  • PhD Cornell University, Sociology, 2006
  • BA University of Rochester, Mathematics, 2002




  • EM Volz, SDW Frost, R Rothenberg, and L Ancel Meyers, "Epidemiological bridging by injection drug use drives an early HIV epidemic", to appear in Epidemics, 2010.
  •  ME Craft, E Volz, C Packer, and LA Meyers, "Disease transmission in territorial populations: the small-world network of Serengeti lions",  J. R. Soc. Interface published online 28 October 2010, doi: 10.1098/rsif.2010.0511
  • SDW Frost and EM Volz, "Viral phylodynamics and the search for an `effective number of infections'",  Phil. Trans. R. Soc. B, Vol. 365 1548, 2010.
  • E Volz, SK Pond, MJ Ward, A Leigh Brown, and SDW Frost, “Phylodynamics of infectious disease Epidemics.” Genetics, Vol. 183, 1421-1430, December 2009.
  • E Volz and LA Meyers, “Epidemic thresholds in dynamic contact networks.” Journal of the Royal Society Interface, 6 32 233–241, 2009.
  • ME Craft, E Volz, C Packer, and LA Meyers, “Distinguishing epidemic waves from disease spillover in a wildlife population.” Proc. R. Soc. B,  published online February 25, 2009, doi:10.1098/rspb.2008.1636
  • E Volz, “SIR epidemics in populations with heterogeneous contact rates.” European Physics Journal B, 63 3, 2008.
  • E Volz, “SIR dynamics in structured populations with heterogeneous connectivity.” Journal of Mathematical Biology, 56 3 2008.
  • E Volz and DH Heckathorn, “Probability based estimation theory for Respondent Driven Sampling.” Journal of Official Statistics, 24 1, 2008.
  • E Volz and LA Meyers, “SIR epidemics in dynamic contact networks.” Proceedings of the Royal Society, Series B. 274 1628, 2007.
  • D Abramovitz, E Volz, T Patterson, S Strathdee, SDW Frost, "Using Respondent Driven Sampling in a Hidden Population at Risk of HIV Infection: Who do HIV-positive recruiters recruit." Sexually Transmitted Diseases (forthcoming).
  • S Farber, A Paez, and E Volz,“Topology, dependency tests and estimation bias in network autoregressive models.” appears in Progress in Spatial Analysis: Theory and Computation, and Thematic Applications, Springer Series, Advances in Spatial Science (Book chapter).
  • A Paez, DM Scott, and E Volz, “Weight matrices for social influence analysis: An investigation of measurement errors and their effect on model identification and estimation quality.” Social Networks, 30,  4,  2008.
  • A Paez, DM Scott, and E Volz, “A discrete choice approach to modeling social influence on individual decision making.” Environment and Planning B, 35, 2008.
  • S Farber, A Paez, and E Volz, “Topology and dependency tests in spatial and network autoregressive models.” to appear in Geographical Analysis.
  • E Volz,“Random networks with tunable degree distribution and clustering.” Physical Review E, 70, 056115, 2004.

Working Papers

  • "Dynamics of infectious disease in clustered networks with arbitrary degree distributions",  http://arxiv.org/abs/1006.0970
  • “Phylogenetic Clustering of HIV-1 from Acutely Infected Individuals Does Not Reflect a Higher per-Act Transmission Probability” with Simon Frost.
  •  “Tomography of random social networks” http://arxiv.org/abs/physics/0509129


  • Respondent Driven Sampling Simulator, Simulates recruitment chains for survey design
  • Respondent Driven Sampling Analysis Tool, Application for analysis of RDS data
  • RDSAT Windows, Translation of RDSAT to MS Windows, features close integration with Epi Info 
  • Vpoker, A stand-alone Java application for evaluating hands in Texas holdem poker
  • Clustering, A package for generating random networks which feature tunable degree distribution and clustering.


Subpages (1): clustering