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Relationship between GPS-based community mobility data and orthopedic trauma admissions during the COVID-19 pandemic in Austria: a multicenter analysis.

Natasa JeremicHarald Kurt WidhalmKevin DoeringDomenik PoppMatthias StarkCornelia OwerArora RohitRoberto BoesenbergAndreas LeithnerArastoo Nia
Published in: Wiener klinische Wochenschrift (2024)
Analyses of GPS-based mobility patterns show a correlation with trauma patient numbers. These findings can be used to develop prediction models, leading to better resource planning and public health policy, enhancing patient care and cost-effectiveness, especially in the event of future pandemics. Furthermore, the results suggest that compliance to mobility restrictions decreased over time during the COVID-19 pandemic, resulting in increased mobility and trauma patients.
Keyphrases
  • trauma patients
  • public health
  • healthcare
  • mental health
  • case report
  • electronic health record
  • cross sectional
  • machine learning
  • global health
  • deep learning