Data on this page are extracted from the the California Department of Public Health West Nile Virus Weekly Reports (2004–2023) in PDF format, processed using fine-tuned LLMs.
Section 1: Displays WNV cases over the seasons of each year.
Analyze seasonal trends in West Nile Virus (WNV) cases across selected years.
Use the dropdown menu to select one or multiple years for exploration.
View a line chart with months on the x-axis and total human WNV cases on the y-axis.
Compare seasonal patterns and identify recurring trends or anomalies across different years.
Section 2: Displays WNV cases based on year and county
View a yearly summary of West Nile Virus (WNV) cases across California counties.
Use dropdown menus to select a specific year and one or more counties.
Explore a bubble map where size and value represent the total human WNV cases for the selected year.
Analyze spatial distribution and identify hotspots with higher disease prevalence within California.
Section 3: Trend analysis of selected variables by year and county
Analyze trends in West Nile Virus (WNV) cases and environmental variables across multiple California counties.
Select a year, counties, and a variable (e.g., temperature, precipitation, wind patterns) to visualize monthly variations.
View a line chart highlighting temporal patterns and regional differences.
Explore the interplay between environmental factors and WNV case distributions.
Section 4: Rolling statistics to show dynamic trends in WNV cases in months window
Visualize rolling statistics of reported West Nile Virus (WNV) human cases across selected California counties.
Select specific counties and adjust the rolling window length (e.g., 3 months, 6 months) to customize the analysis.
View a line chart displaying rolling sum, rolling mean, and rolling standard deviation of human cases for the selected timeframe.
Explore temporal patterns and variations in WNV case reporting with detailed metrics.
Section 5: Displays data based on month, county and variable.
Explore an interactive map displaying the monthly distribution of selected variables across California counties.
Select a specific year, month, and variable to visualize spatial patterns.
View county-level data to analyze geographic trends and variability in metrics like human WNV disease counts, precipitation, vegetation cover, and more.
Section 6: Compare WNV case change along with another environmental variable
Compare monthly West Nile Virus (WNV) human case counts with selected environmental or climatic variables for a specific California county.
Select a year, county, and variable to generate a dual-axis line chart.
Visualize the relationship between human disease counts and variables like temperature, precipitation, or vegetation indices.
Gain insights into potential environmental factors influencing WNV transmission trends.
Section 7: Kendall’s Tau correlation heatmaps
Explore Kendall’s Tau correlation and p-values between environmental and genetic variables.
View a heatmap showing the strength and direction of relationships, with color intensity representing correlation coefficients.
Analyze a second heatmap highlighting statistical significance, with p-values indicating the reliability of correlations.
Identify meaningful patterns and interactions between variables through these visualizations.