Quantifying the Public Health Impact of Lyme Disease in Minnesota: A Simulation Analysis of Reported and Unreported Cases.

ABSTRACT: Background: Lyme disease, the most common vector-borne disease in Minnesota, is estimated to be underreported by a factor of 10. Delayed diagnosis and misdiagnosis may lead to health complications and increased personal and societal costs. Environmental factors can help to predict high disease years, allowing for early intervention to decrease disease burden. Objective: To estimate the health and cost burdens of Lyme disease and the extent to which they could be diminished by public health intervention when high-incidence Lyme disease years are forecasted. Methods: We used 5 two-dimensional Monte Carlo simulations to estimate (1) average annual expected burden of Lyme disease, (2 and 3) average burden in low- and high-incidence years, and (4 and 5) the expected burden

SUBMITTER: Angell KE 

PROVIDER: S-EPMC12640196 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature