Human health, vectors, and environmental conditions each reveal part of the picture. One Health Atlas helps public health professionals connect those perspectives and decide what deserves a closer look.
Follow the Lyme disease example in Buncombe County, North Carolina.
Reported Lyme cases show part of the picture. Tick surveillance, environmental data, and community context add other perspectives. Follow the Buncombe County example to see what becomes clearer—and what questions remain.
Reported Lyme disease cases show where illness was recognized and recorded. They provide a starting point for understanding the county, while leaving questions about infections that were not reported and where exposure occurred.
Cases are reported by county of residence, which may differ from where exposure occurred.
Tick surveillance records where ticks have been found. Pathogen testing adds information about what was detected in the samples tested. Together, these data add another perspective to the human case record.
Where, when, and how ticks were sampled shapes what the results can tell us.
Landscape, weather, and community conditions—including access to care—help frame the picture. Considering these alongside human and tick data brings the One Health approach into public health review.
County-level patterns do not establish individual risk or show that one condition caused another.
Understanding a dataset means knowing where it came from, when it was collected, and what it can tell us. Atlas brings sources, coverage, and limitations into view so public health professionals can interpret the data in context.
Bring human surveillance, tick and pathogen data, and environmental and community context together. Explore county patterns, review the available data, and identify questions for follow-up.
Built for public health professionals.