Publications

Preprints/Under review

Published/In press

  1. Fitness cost and benefit of antimicrobial resistance in Neisseria gonorrhoeae derived from a mathematical model – improved model parameters and multidisciplinary approaches needed.
    Unemo M, Althaus CL.
    PLOS Med. 2017, in press.
  2. Developing WHO guidelines: time to formally include evidence from mathematical modelling studies.
    Egger M, Johnson LF, Althaus CL, Schöni A, Salanti G, Low N, Norris SL.
    F1000Res. 2017 Aug 29;6:1584.
  3. Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study.
    Fingerhuth SM, Low N, Bonhoeffer S, Althaus CL.
    BMC Med. 2017 Jul 26;15(1):142.
    Data & R code on GitHub
  4. A new rapid resazurin-based microdilution assay for antimicrobial susceptibility testing of Neisseria gonorrhoeae.
    Foerster S, Desilvestro V, Hathaway LJ, Althaus CL, Unemo M.
    J Antimicrob Chemother. 2017 Apr 19.
    Data & R code on GitHub
  5. How relevant is sexual transmission of Zika virus?
    Althaus CL, Low N.
    PLOS Med. 2016 Oct;13(10): e1002157.
  6. Modeling the Ebola epidemic: challenges and lessons for the future.
    Althaus CL.
    In Evans NG, Smith TC, Majumder MS (Eds.), Ebola’s Message: Public Health and Medicine in the Twenty-First Century. MIT Press, 2016.
    Post-print on BORIS
  7. Time-kill curve analysis and pharmacodynamic modelling for in vitro evaluation of antimicrobials against Neisseria gonorrhoeae.
    Foerster S, Unemo M, Hathaway LJ, Low N, Althaus CL.
    BMC Microbiol. 2016 Sep 17;16(1):216.
    Data & R code on GitHub
  8. Heterogeneity in district-level transmission of Ebola virus disease during the 2013-2015 epidemic in West Africa.
    Krauer F, Gsteiger S, Low N, Hansen CH, Althaus CL.
    PLOS Negl Trop Dis. 2016 Jul;10(7): e0004867.
  9. Antibiotic-resistant Neisseria gonorrhoeae spread faster with more treatment, not more sexual partners.
    Fingerhuth SM, Bonhoeffer S, Low N, Althaus CL.
    PLOS Pathog. 2016 May;12(5): e1005611.
    Data & R code on GitHub
  10. Potential impact of sexual transmission on Ebola virus epidemiology: Sierra Leone as a case study.
    Abbate JL, Murall CL, Richner H, Althaus CL.
    PLOS Negl Trop Dis. 2016 May;10(5): e0004676.
    Data & R code on GitHub
  11. Genetic resistance determinants, in vitro time-kill curve analysis and pharmacodynamic functions for the novel topoisomerase II inhibitor ETX0914 (AZD0914) in Neisseria gonorrhoeae.
    Foerster S, Golparian D, Jacobsson S, Hathaway LJ, Low N, Shafer WM, Althaus CL, Unemo M.
    Front Microbiol. 2015;6:1377.
  12. Rapid drop in the reproduction number during the Ebola outbreak in the Democratic Republic of Congo.
    Althaus CL.
    PeerJ. 2015 Nov 19;3:e1418.
    Infographics
    Data & R code on GitHub
  13. Measles vaccination coverage and cases among vaccinated persons.
    Althaus CL, Salathé M.
    Emerg Infect Dis. 2015 Aug;21(8):1480-1481.
  14. The role of superspreading in Middle East respiratory syndrome coronavirus (MERS-CoV) transmission.
    Kucharski AJ, Althaus CL.
    Euro Surveill. 2015;20(25):pii=21167(25).
  15. Ebola virus disease outbreak in Nigeria: Transmission dynamics and rapid control.
    Althaus CL, Low N, Musa EO, Shuaib F, Gsteiger S.
    Epidemics. 2015 Jun;11:80-4.
    Data & R code on GitHub
  16. Ebola superspreading.
    Althaus CL.
    Lancet Infect Dis. 2015 May;15(5):507-8.
    Data & R code on GitHub
  17. Of mice, macaques and men: scaling of virus dynamics and immune responses.
    Althaus CL.
    Front Microbiol. 2015 Apr 23;6:355.
  18. Quantifying the turnover of transcriptional subclasses of HIV-1-infected cells.
    Althaus CL, Joos B, Perelson AS, Günthard HF.
    PLOS Comput Biol. 2014 Oct;10(10): e1003871.
  19. Estimating the reproduction number of Ebola virus (EVOB) during the 2014 outbreak in West Africa.
    Althaus CL.
    PLOS Curr. 2014 Sep 2;6.
    Post-print on ArXiv
    Data & R code on GitHub
  20. Reinfection by untreated partners of people treated for Chlamydia trachomatis and Neisseria gonorrhoeae: mathematical modelling study.
    Low N, Heijne JC, Herzog SA, Althaus CL.
    Sex Transm Infect. 2014 May;90(3):254-6.
    Pre-print on ArXiv
  21. Effectiveness and cost-effectiveness of traditional and new partner notification technologies for curable sexually transmitted infections: observational study, systematic reviews and mathematical modelling.
    Althaus CL, Turner KM, Mercer CH, Auguste P, Roberts TE, Bell G, Herzog SA, Cassell JA, Edmunds WJ, White PJ, Ward H, Low N.
    Health Technol Assess. 2014 Jan;18(2):1-100.
  22. Direct and indirect effects of screening for Chlamydia trachomatis on the prevention of pelvic inflammatory disease: mathematical modeling study.
    Herzog SA, Heijne JC, Scott P, Althaus CL, Low N.
    Epidemiology. 2013 Nov;24(6):854-62.
  23. Case and partnership reproduction numbers for a curable sexually transmitted infection.
    Heijne JC, Herzog SA, Althaus CL, Low N, Kretzschmar M.
    J Theor Biol. 2013 Apr 19;331C:38-47.
    Post-print on BORIS
  24. Insights into the timing of repeated testing after treatment for Chlamydia trachomatis: data and modelling study.
    Heijne JC, Herzog SA, Althaus CL, Tao G, Kent C, Low N.
    Sex Transm Infect. 2013 Feb;89(1):57-62.
    Post-print on BORIS
  25. Individual and population level effects of partner notification for Chlamydia trachomatis.
    Althaus CL, Heijne JC, Herzog SA, Roellin A, Low N.
    PLoS One. 2012;7(12):e51438.
  26. Timing of progression from Chlamydia trachomatis infection to pelvic inflammatory disease: a mathematical modelling study.
    Herzog SA, Althaus CL, Heijne JC, Oakeshott P, Kerry S, Hay P, Low N.
    BMC Infect Dis. 2012 Aug 11;12(1):187.
  27. Describing the Progression From Chlamydia trachomatis and Neisseria gonorrhoeae to Pelvic Inflammatory Disease: Systematic Review of Mathematical Modeling Studies.
    Herzog SA, Heijne JC, Althaus CL, Low N.
    Sex Transm Dis. 2012 Aug;39(8):628-37.
  28. Towards more robust estimates of the transmissibility of Chlamydia trachomatis.
    Althaus CL, Heijne JC, Low N.
    Sex Transm Dis. 2012 May;39(5):402-4.
  29. Impaired immune evasion in HIV through intracellular delays and multiple infection of cells.
    Althaus CL, De Boer RJ.
    Proc Biol Sci. 2012 Aug 7;279(1740):3003-10.
  30. Transmission of Chlamydia trachomatis through sexual partnerships: a comparison between three individual-based models and empirical data.
    Althaus CL, Turner KM, Schmid BV, Heijne JC, Kretzschmar M, Low N.
    J R Soc Interface. 2012 Jan 7;9(66):136-46.
  31. Implications of CTL-mediated killing of HIV-infected cells during the non-productive stage of infection.
    Althaus CL, De Boer RJ.
    PLoS One. 2011 Feb 7;6(2):e16468.
  32. The role of re-infection and partner notification in the efficacy of chlamydia screening programmes.
    Heijne JCM, Althaus CL, Herzog SA, Kretzschmar M, Low N.
    J Infect Dis. 2011 Feb 1;203(3):372-7.
  33. Transmission dynamics of Chlamydia trachomatis affect the impact of screening programmes.
    Althaus CL, Heijne JCM, Roellin A, Low N.
    Epidemics. 2010 Sep;2(3):123-31.
    Post-print on BORIS
  34. Intracellular transactivation of HIV can account for the decelerating decay of virus load during drug therapy.
    Althaus CL, De Boer RJ.
    Mol Syst Biol. 2010; 6:348.
  35. Reassessing the human immunodeficiency virus type 1 life cycle through age-structured modeling: life span of infected cells, viral generation time, and basic reproductive number, R0.
    Althaus CL, De Vos AS, De Boer RJ.
    J Virol. 2009 Aug;83(15):7659-67.
  36. Dynamics of immune escape during HIV/SIV infection.
    Althaus CL, De Boer RJ.
    PLoS Comput Biol. 2008 Jul 18;4(7):e1000103.
  37. Dynamics of CD8+ T cell responses during acute and chronic lymphocytic choriomeningitis virus infection.
    Althaus CL, Ganusov VV, De Boer RJ.
    J Immunol. 2007 Sep 1;179(5):2944-51.
  38. Stochastic or deterministic: what is the effective population size of HIV?
    Kouyos RD, Althaus CL, Bonhoeffer S.
    Trends Microbiol. 2006 Dec;14(12):507-11.
  39. Stochastic interplay between mutation and recombination during the acquisition of drug resistance mutations in human immunodeficiency virus type 1.
    Althaus CL, Bonhoeffer S.
    J Virol. 2005 Nov;79(21):13572-8.
  40. Recombination in HIV and the evolution of drug resistance: for better or for worse?
    Bretscher MT, Althaus CL, Müller V, Bonhoeffer S.
    Bioessays. 2004 Feb; 26(2): 180-8.