K Koelle

Summary

Affiliation: Duke University Medical Center
Country: USA

Publications

  1. ncbi Rates of coalescence for common epidemiological models at equilibrium
    Katia Koelle
    Department of Biology, Duke University, Durham, NC 27708, USA
    J R Soc Interface 9:997-1007. 2012
  2. ncbi The impact of climate on the disease dynamics of cholera
    K Koelle
    Department of Biology, Duke University, Durham, NC, USA
    Clin Microbiol Infect 15:29-31. 2009
  3. ncbi A two-tiered model for simulating the ecological and evolutionary dynamics of rapidly evolving viruses, with an application to influenza
    Katia Koelle
    Department of Biology, Duke University, PO Box 90338, Durham, NC 27708, USA
    J R Soc Interface 7:1257-74. 2010
  4. ncbi Understanding the dynamics of rapidly evolving pathogens through modeling the tempo of antigenic change: influenza as a case study
    Katia Koelle
    Department of Biology, Duke University, Durham, NC 27708, USA
    Epidemics 1:129-37. 2009

Detail Information

Publications4

  1. ncbi Rates of coalescence for common epidemiological models at equilibrium
    Katia Koelle
    Department of Biology, Duke University, Durham, NC 27708, USA
    J R Soc Interface 9:997-1007. 2012
    ..These results, therefore, point towards necessary future work while providing intuition on how epidemiological characteristics of the infection process impact gene genealogies...
  2. ncbi The impact of climate on the disease dynamics of cholera
    K Koelle
    Department of Biology, Duke University, Durham, NC, USA
    Clin Microbiol Infect 15:29-31. 2009
    ..Furthermore, the incidence of cholera may occasionally be surprisingly low at times when climate seems to favour cholera transmission...
  3. ncbi A two-tiered model for simulating the ecological and evolutionary dynamics of rapidly evolving viruses, with an application to influenza
    Katia Koelle
    Department of Biology, Duke University, PO Box 90338, Durham, NC 27708, USA
    J R Soc Interface 7:1257-74. 2010
    ..Future work should focus on statistical estimation of model parameters for these examples as well as the possibility of applying this model, or variants thereof, to other host-virus systems...
  4. ncbi Understanding the dynamics of rapidly evolving pathogens through modeling the tempo of antigenic change: influenza as a case study
    Katia Koelle
    Department of Biology, Duke University, Durham, NC 27708, USA
    Epidemics 1:129-37. 2009
    ..These advantages of the antigenic tempo model make it a useful alternative to address several outstanding questions for rapidly evolving pathogens...