Mapping Human Risk for West Nile Virus in Suffolk County, NY
Author Information
Author(s): Ilia Rochlin, David Turbow, Frank Gomez, Dominick V. Ninivaggi, Scott R. Campbell
Primary Institution: Suffolk County Vector Control
Hypothesis
Can environmental and socioeconomic factors predict the risk of West Nile Virus (WNV) in humans?
Conclusion
The study developed a predictive map showing that areas with higher education levels and habitat fragmentation are at greater risk for WNV infection.
Supporting Evidence
- 89% of WNV human cases from 2005-2010 occurred near high-risk areas predicted by the model.
- The model identified middle-class suburban neighborhoods as having the highest WNV risk.
- Statistical analysis showed significant associations between WNV risk and socioeconomic factors.
Takeaway
This study made a map to show where people are more likely to get sick from West Nile Virus based on things like where they live and how educated they are.
Methodology
The study used a case-control design with logistic regression modeling to analyze environmental and socioeconomic factors affecting WNV risk.
Potential Biases
Potential biases include reliance on public data and the ecological fallacy due to aggregated data.
Limitations
The model's accuracy may be affected by changes in environmental and socioeconomic factors over time and potential biases in data collection.
Participant Demographics
The study focused on residents of Suffolk County, NY, with a population of approximately 1.4 million.
Statistical Information
P-Value
<0.001
Confidence Interval
1.18-1.57
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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