Evaluating the impact of Hazelwood mine fire event on students' educational development with Bayesian interrupted time-series hierarchical meta-regression.

ABSTRACT:

Background

Environmental disasters such as wildfires, floods and droughts can introduce significant interruptions and trauma to impacted communities. Children and young people can be disproportionately affected with additional educational disruptions. However, evaluating the impact of disasters is challenging due to difficulties in establishing studies and recruitment post-disasters.

Objectives

We aimed to (1) develop a Bayesian model using aggregated school-level data to evaluate the impact of environmental disasters on academic achievement and (2) evaluate the impact of the 2014 Hazelwood mine fire (a six-week fire event in Australia).

Methods

Bayesian hierarchical meta-regression was developed to evaluate the impact of the mine fire using easily accessible aggregat

SUBMITTER: Gao CX 

PROVIDER: S-EPMC9977026 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature