Puumala Hantavirus Infection Dynamics in Bank Voles Over 7 Years

Northern European data from a 7-year capture-mark-recapture study tracks Puumala hantavirus infection in cyclic bank vole populations. The dataset monitors seasonal and multiannual infection rate patterns, host density cycles, and transmission dynamics. It was created by Liina Voutilainen to model public health threats from this zoonotic pathogen.

Use Cases

• Model seasonal and multiannual infection rate patterns using data from the 7-year study period.
• Analyze the relationship between host density cycles and PUUV transmission rate dynamics.
• Study the accumulation of PUUV infections within annual population cohorts to understand prevalence patterns.
• Investigate the constraining effect of maternal antibodies on virus transmission during peak host density years.

Strengths

• Data collection spanned 7 years, providing a long-term view of infection dynamics.
• Study design captured a full 3-year host density cycle for multiannual pattern analysis.
• Focus on a defined geographic region (Northern Europe) where human infection risk is highest.

Limitations

• The dataset's specific structure, row count, and column features are not described in the input.
• Geographic scope is limited to Northern Europe, limiting generalizability to other reservoir populations.
• Data collection ended in 2020, so findings may not reflect current ecological conditions.

Provenance

Source

Dryad data repository, authored by Liina Voutilainen.

Collection Method

Capture-mark-recapture study of bank vole populations.

Time Range

7-year study period (specific years not provided).

Freshness

Last updated on 2020-06-24.

Geography

Northern Europe.