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[Population differences in the completeness and reliability of COVID-19 registration data].

Babette van DeursenEster A L de Jonge
Published in: TSG : tijdschrift voor gezondheidswetenschappen (2022)
During the COVID-19 pandemic, the bidirectional relationship between policy and data reliability has been a challenge for researchers of the local municipal health services. Policy decisions on population specific test locations and selective registration of negative test results led to population differences in data quality. This hampered the calculation of reliable population specific infection rates needed to develop proper data driven public health policy.
Keyphrases
  • public health
  • healthcare
  • electronic health record
  • mental health
  • big data
  • coronavirus disease
  • sars cov
  • wastewater treatment
  • data analysis
  • risk assessment
  • deep learning
  • heavy metals
  • respiratory syndrome coronavirus