Estimating Social Contact Patterns for Pandemic Preparedness
Author Information
Author(s): Dan Shozen, Tegegne Joshua, Chen Yu, Ling Zhi, Jaeger Veronika, Karch André, Mishra Swapnil, Ratmann Oliver
Hypothesis
Can we improve the accuracy of social contact surveys by addressing reporting fatigue?
Conclusion
The study shows that adjusting for reporting fatigue can significantly enhance the accuracy of social contact data from longitudinal surveys.
Supporting Evidence
- Social contact surveys are crucial for assessing infection risks and the impact of interventions during outbreaks.
- Reporting fatigue leads to a decline in the number of social contacts reported over time.
- Statistical models that adjust for reporting fatigue improve estimation accuracy of social contact data.
Takeaway
This study helps us understand how to get better information about how people interact during pandemics, even if they get tired of reporting their contacts.
Methodology
The study analyzed data from the German COVIMOD Study and used statistical models to control for reporting fatigue.
Participant Demographics
The study found that reporting fatigue varied by sociodemographic factors, notably among parents, students, and middle-aged individuals.
Digital Object Identifier (DOI)
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