A Method to Estimate the Size and Characteristics of HIV-positive Populations Using an Individual-based Stochastic

Fumiyo Nakagawa1, Ard van Sighem, Rodolphe Thiebaut

  • 1From the aResearch Department of Infection and Population Health, UCL, London, United Kingdom; bStichting HIV Monitoring, Amsterdam, The Netherlands; cINSERM, Centre INSERM U897, Bordeaux, France; dDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom; eDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden; fDepartment of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden; gEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden; hCEEISCAT, Generalitat de Catalunya, Barcelona, Spain; iWHO Regional Office for Europe, Copenhagen, Denmark; jInstitute of Clinical Trials and Methodology, UCL, London, United Kingdom; kDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland; lResearch Department of Primary Care and Population Health, UCL, London, United Kingdom; mCHIP @ Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; nDepartment of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece; oUCL Institute of Child Health, UCL, London, United Kingdom; and pPublic Health England, London, United Kingdom.

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