Improving Rabies Surveillance in Kentucky
Author Information
Author(s): Andrew Curtis
Primary Institution: Louisiana State University
Hypothesis
Can a geographic model improve the quality of rabies surveillance data in Kentucky?
Conclusion
The study presents a method to identify counties with low rabies testing submissions, indicating potential underreporting.
Supporting Evidence
- The number of rabid raccoons in New York increased from 0 in 1985 to over 2,000 in 1993.
- Surveillance data can help coordinate rabies vaccination efforts.
- Counties with low submissions may indicate underreporting of rabies cases.
Takeaway
This study shows a way to find areas that might not be reporting enough rabies tests, which helps keep people and animals safe.
Methodology
A geographic model using a spatial filter was applied to assess rabies testing submissions across counties.
Potential Biases
Underreporting of rabies cases may occur due to limited human-animal interactions or smaller human populations.
Limitations
The quality of surveillance data varies among counties and may not represent the actual extent of rabies.
Participant Demographics
Counties in Kentucky with varying human populations and animal habitats.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
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