Using Catalytic Models to Interpret Age-Stratified Lyme Borreliosis Seroprevalence Data: Can This Approach Help Provide Insight into the Full Extent of Human Infection Occurring at the Population Level?
2024

Understanding Lyme Disease Infection Rates in the Netherlands

Sample size: 5592 publication Evidence: moderate

Author Information

Author(s): Andrew Vyse, Emily Colby

Primary Institution: Pfizer UK Ltd.

Hypothesis

Can catalytic models help estimate the true extent of Lyme borreliosis infection in the Dutch population?

Conclusion

The study estimates that annual Lyme borreliosis infections in the Dutch population could range from 26,209 to 163,256, depending on the duration of detectable IgG antibodies.

Supporting Evidence

  • Annual infections estimated range from 26,209 to 163,256 based on IgG detection duration.
  • Observed seroprevalence increased with age, peaking at 13.8% in those aged 80-84 years.
  • Cross-sectional seroprevalence studies can provide insight into the extent of Bbsl infection.

Takeaway

This study looks at how many people in the Netherlands might get Lyme disease each year, using special models to understand the data better.

Methodology

The study used cross-sectional seroprevalence data from a Dutch population-based survey and applied catalytic models to estimate the force of infection across different age groups.

Potential Biases

Potential under ascertainment of infections due to reliance on serological data and the assumption of a perfect test.

Limitations

The analysis may contain selection bias, and the duration of detectable IgG post-infection is not well understood, which significantly influences infection estimates.

Participant Demographics

The study included a general population sample from the Netherlands, stratified into eighteen 5-year age groups.

Statistical Information

Confidence Interval

95% CI 130,150–201,723

Digital Object Identifier (DOI)

10.3390/microorganisms12122638

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication