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P459 Towards a universal tool for estimating chlamydia prevalence from surveillance data: a systematic comparison of models
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Authors

  • Jonathan Roberts 1Imperial College School of Public Health, Department of Infectious Disease Epidemiology, London, UK PubMed articlesGoogle scholar articles
  • Peter White 2Imperial College School of Public Health, MRC Centre for Global Infectious Disease Analysis and NIHR Health Protection Research Unit in Modelling Methodology, Department of Infectious Disease Epidemiology, London, UK PubMed articlesGoogle scholar articles
  • Joanna Lewis 3Imperial College School of Public Health, NIHR Health Protection Research Unit in Modelling Methodology, Department of Infectious Disease Epidemiology, London, UK PubMed articlesGoogle scholar articles

Citation

Roberts J, White P, Lewis J
P459 Towards a universal tool for estimating chlamydia prevalence from surveillance data: a systematic comparison of models

Publication history

  • First published July 14, 2019.
Online issue publication 
May 03, 2022

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