Calibration of individual-based models to epidemiological data: A systematic review.

ABSTRACT: Individual-based models (IBMs) informing public health policy should be calibrated to data and provide estimates of uncertainty. Two main components of model-calibration methods are the parameter-search strategy and the goodness-of-fit (GOF) measure; many options exist for each of these. This review provides an overview of calibration methods used in IBMs modelling infectious disease spread. We identified articles on PubMed employing simulation-based methods to calibrate IBMs informing public health policy in HIV, tuberculosis, and malaria epidemiology published between 1 January 2013 and 31 December 2018. Articles were included if models stored individual-specific information, and calibration involved comparing model output to population-level targets. We extracted information on paramete

SUBMITTER: Hazelbag CM 

PROVIDER: S-EPMC7241852 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature