Enhancing Insights into Australia's Gonococcal Surveillance Programme through Stochastic Modelling.

ABSTRACT: Continued surveillance of antimicrobial resistance is critical as a feedback mechanism for the generation of concerted public health action. A characteristic of importance in evaluating disease surveillance systems is representativeness. Scenario tree modelling offers an approach to quantify system representativeness. This paper utilises the modelling approach to assess the Australian Gonococcal Surveillance Programme's representativeness as a case study. The model was built by identifying the sequence of events necessary for surveillance output generation through expert consultation and literature review. A scenario tree model was developed encompassing 16 dichotomous branches representing individual system sub-components. Key classifications included biological sex, clinical symptom stat

SUBMITTER: Do PC 

PROVIDER: S-EPMC10385950 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature