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[Population differences in the completeness and reliability of COVID-19 registration data]
Babette van Deursen1, Ester A L de Jonge2
1afdeling Infectieziektebestrijding, GGD Rotterdam-Rijnmond, Rotterdam, Nederland.
TSG : Tijdschrift Voor Gezondheidswetenschappen
|August 15, 2022
Summary
Policy decisions during the COVID-19 pandemic impacted health data reliability. This made it difficult to calculate accurate infection rates for effective public health policy.
Area of Science:
- Public Health
- Epidemiology
- Health Policy
Context:
- The COVID-19 pandemic presented significant challenges to local municipal health services.
- The interplay between policy decisions and data integrity was a key issue.
Purpose:
- To analyze the impact of policy decisions on the reliability of health data during the COVID-19 pandemic.
- To understand how data quality issues affected the calculation of infection rates.
Summary:
- Policy choices, such as targeted testing locations and selective recording of negative results, created disparities in data quality across populations.
- These data quality issues hindered the accurate calculation of population-specific infection rates.
Impact:
- The unreliability of infection rates impeded the development of evidence-based public health policies.
- This highlights the critical need for robust data collection and management in public health emergencies.
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