Ake Svensson

Summary

Affiliation: Stockholm University
Country: Sweden

Publications

  1. doi Who was the infector-probabilities in the presence of variability in latent and infectious times
    Ake Svensson
    Department of Mathematics, Stockholm University, Stockholm, Sweden
    J Math Biol 68:951-67. 2014
  2. pmc Mortality following Campylobacter infection: a registry-based linkage study
    Anders Ternhag
    Department of Epidemiology, Swedish Institute for Infectious Disease Control, Solna, Sweden
    BMC Infect Dis 5:70. 2005
  3. ncbi A note on generation times in epidemic models
    Ake Svensson
    Mathematical Statistics, Stockholm University and the Swedish Institute for Infectious Disease Control, SE 106 91 Stockholm, Sweden
    Math Biosci 208:300-11. 2007
  4. doi The effect of time distribution shape on a complex epidemic model
    Martin Camitz
    Department of Medical Epidemiology and Biostatistics, Karolinska Inistitute, Stockholm, Sweden
    Bull Math Biol 71:1902-13. 2009
  5. doi A multi-type branching model with varying environment for bacterial dynamics with postantibiotic effect
    Patricia Geli
    Department of Mathematics, Stockholm University, Stockholm, Sweden
    J Theor Biol 256:58-64. 2009
  6. doi Networks, epidemics and vaccination through contact tracing
    Nyimvua Shaban
    Department of Mathematics, Stockholm University, SE 106 91 Stockholm, Sweden
    Math Biosci 216:1-8. 2008
  7. doi Household epidemics: modelling effects of early stage vaccination
    Nyimvua Shaban
    Department of Mathematics, Stockholm University, SE 106 91 Stockholm, Sweden
    Biom J 51:408-19. 2009
  8. ncbi [Measles takes root in Sweden again. Reduced vaccination will result in epidemics, about 25 000 cases are expected to occur annually within a 15-year period]
    Tommi Asikainen
    Avdelningen för epidemiologi, Smittskyddsinstitutet, Solna
    Lakartidningen 100:3126-30. 2003

Collaborators

Detail Information

Publications8

  1. doi Who was the infector-probabilities in the presence of variability in latent and infectious times
    Ake Svensson
    Department of Mathematics, Stockholm University, Stockholm, Sweden
    J Math Biol 68:951-67. 2014
    ..The analysis are based on different background information and different assumptions on the progress of infectivity. The results are illustrated by numerical calculations and simulations. ..
  2. pmc Mortality following Campylobacter infection: a registry-based linkage study
    Anders Ternhag
    Department of Epidemiology, Swedish Institute for Infectious Disease Control, Solna, Sweden
    BMC Infect Dis 5:70. 2005
    ..Despite the widespread occurrence, there is little information on Campylobacter mortality...
  3. ncbi A note on generation times in epidemic models
    Ake Svensson
    Mathematical Statistics, Stockholm University and the Swedish Institute for Infectious Disease Control, SE 106 91 Stockholm, Sweden
    Math Biosci 208:300-11. 2007
    ..Serial times, defined as the times between occurrence of observable events in the progress of an infectious disease (e.g., the onset of clinical symptoms), are also considered...
  4. doi The effect of time distribution shape on a complex epidemic model
    Martin Camitz
    Department of Medical Epidemiology and Biostatistics, Karolinska Inistitute, Stockholm, Sweden
    Bull Math Biol 71:1902-13. 2009
    ..We show a delay in spread with more realistic latency times. More realistic infectiousness times lead to faster epidemics. The effects are similar but accentuated when compared to a purely homogeneous mixing model...
  5. doi A multi-type branching model with varying environment for bacterial dynamics with postantibiotic effect
    Patricia Geli
    Department of Mathematics, Stockholm University, Stockholm, Sweden
    J Theor Biol 256:58-64. 2009
    ..Data from an in vitro study with Escherichia coli exposed to different dosing regimens of cefotaxime were used to evaluate the model...
  6. doi Networks, epidemics and vaccination through contact tracing
    Nyimvua Shaban
    Department of Mathematics, Stockholm University, SE 106 91 Stockholm, Sweden
    Math Biosci 216:1-8. 2008
    ....
  7. doi Household epidemics: modelling effects of early stage vaccination
    Nyimvua Shaban
    Department of Mathematics, Stockholm University, SE 106 91 Stockholm, Sweden
    Biom J 51:408-19. 2009
    ..3 days in Tanzania, a much smaller difference...
  8. ncbi [Measles takes root in Sweden again. Reduced vaccination will result in epidemics, about 25 000 cases are expected to occur annually within a 15-year period]
    Tommi Asikainen
    Avdelningen för epidemiologi, Smittskyddsinstitutet, Solna
    Lakartidningen 100:3126-30. 2003