ArticleTicks and tick-borne diseases2022
Predicting distributions of blacklegged ticks (Ixodes scapularis), Lyme disease spirochetes (Borrelia burgdorferi sensu stricto) and human Lyme disease cases in the eastern United States.
Article in Ticks and tick-borne diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 30 citations in OpenAlex.
- Climate and other environmental factors predict tick abundance and Lyme cases in Minnesota one and two years in advance.One health (Amsterdam, Netherlands) · 2026Article
- Evaluating the detection capabilities of nanopore sequencing for Borrelia burgdorferi detection in blacklegged ticks.Scientific reports · 2026Article
- Detection of suitable habitat areas in Japan of the Lyme disease and tick-borne encephalitis vectorsCurrent research in parasitology & vector-borne diseases · 2026Article
- Genetic and Landscape Connectivity of Blacklegged Ticks During Range Expansion in Select States of the Midwestern USA.Ecology and evolution · 2025Article
- Estimated density of Borrelia burgdorferi sensu stricto-infected Ixodes scapularis nymphs in the eastern United States.Parasites & vectors · 2025Article
- Using pet insurance claims to predict occurrence of vector-borne and zoonotic disease in humans in the United States.Scientific reports · 2025Article
- Climate-driven variation in the phenology of juvenile Ixodes pacificus on lizard hosts.Parasites & vectors · 2025Article
- Estimating the density of questing Ixodes scapularis nymphs in the eastern United States using climate and land cover data.Ticks and tick-borne diseases · 2025Article
- By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States.EcoHealth · 2024Article
- Article
- Evaluation of the association between climate warming and the spread and proliferation of Ixodes scapularis in northern states in the Eastern United States.Ticks and tick-borne diseases · 2024Review
- Article
- Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence.Ticks and tick-borne diseases · 2023Article
- Prevalence of five human pathogens in host-seeking Ixodes scapularis and Ixodes pacificus by region, state, and county in the contiguous United States generated through national tick surveillance.Ticks and tick-borne diseases · 2023Article
- Seasonal dynamics of Amblyomma cajennense (Fabricius, 1787) sensu stricto in a degraded area of the Amazon biome, with notes on Rickettsia amblyommatis infection.Parasites & vectors · 2023Article
- Article
- Identifying suitable habitat for Ixodes scapularis (Acari: Ixodidae) infected with Anaplasma phagocytophilum (Rickettsiales: Anaplasmataceae), Babesia microti (Piroplasmida: Babesiidae), and Borrelia miyamotoi (Spirochaetales: Spirochaetaceae) to guide surveillance efforts in the eastern United States.Journal of medical entomology · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
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Abstract
Lyme disease is the most commonly reported vector-borne disease in the United States (US), with approximately 300,000 -to- 40,000 cases reported annually. The blacklegged tick, Ixodes scapularis, is the primary vector of the Lyme disease-causing spirochete, Borrelia burgdorferi sensu stricto, in high incidence regions in the upper midwestern and northeastern US. Using county-level records of the presence of I. scapularis or presence of B. burgdorferi s.s. infected host-seeking I. scapularis, we generated habitat suitability consensus maps based on an ensemble of statistical models for both acarological risk metrics. Overall accuracy of these suitability models was high (AUC = 0.76 for I. scapularis and 0.86 for B. burgdorferi s.s. infected-I. scapularis). We sought to compare which acarological risk metric best described the distribution of counties reporting high Lyme disease incidence (≥10 confirmed cases/100,000 population) by setting the models to a fixed omission rate (10%). We compared the percent of high incidence counties correctly classified by the two models. The I. scapularis consensus map correctly classified 53% of high and low incidence counties, while the B. burgdorferi s.s. infected-I. scapularis consensus map classified 83% correctly. Counties classified as suitable by the B. burgdorferi s.s. map showed a 91% overlap with high Lyme disease incidence counties with over a 38-fold difference in Lyme disease incidence between high- and low-suitability counties. A total of 288 counties were classified as highly suitable for B. burgdorferi s.s., but lacked records of infected-I. scapularis and were not classified as high incidence. These counties were considered to represent a leading edge for B. burgdorferi s.s. infection in ticks and humans. They clustered in Illinois, Indiana, Michigan, and Ohio. This information can aid in targeting tick surveillance and prevention education efforts in counties where Lyme disease risk may increase in the future.
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