Ontology highlight
ABSTRACT:
SUBMITTER: Wah W
PROVIDER: S-EPMC8151486 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Wah Win W Stirling Rob G RG Ahern Susannah S Earnest Arul A
International journal of environmental research and public health 20210511 10
Predicting lung cancer cases at the small-area level is helpful to quantify the lung cancer burden for health planning purposes at the local geographic level. Using Victorian Cancer Registry (2001-2018) data, this study aims to forecast lung cancer counts at the local government area (LGA) level over the next ten years (2019-2028) in Victoria, Australia. We used the Age-Period-Cohort approach to estimate the annual age-specific incidence and utilised Bayesian spatio-temporal models that account ...[more]