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

Caroline X GaoJonathan C BroderSam BrillemanTimothy C H CampbellEmily BergerJillian IkinCatherine L SmithRory WolfeFay JohnstonYuming GuoMatthew Carroll
Published in: PloS one (2023)
Considerable academic delays were found as a result of a mine fire, highlighting the need to provide educational and community-based supports in response to future events. Importantly, this work provides a statistical method using readily available aggregated data to assess the educational impacts in response to other environmental disasters.
Keyphrases
  • electronic health record
  • current status
  • human health
  • climate change
  • artificial intelligence
  • deep learning
  • medical students