Estimating the population health burden of Lyme disease in Ontario, Canada: a microsimulation modelling approach
Title | Estimating the population health burden of Lyme disease in Ontario, Canada: a microsimulation modelling approach |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | CMAJ Open |
Volume | 9 |
Issue | 4 |
Start Page | E1005 |
Date Published | 11/2021 |
Authors | Mac S, Evans GA, Patel SN, Pullenayegum EM, Sander B |
Abstract | Our model estimated 333 (95% confidence interval [CI] 329-337) infections over the lifetime of 100 000 simulated people (mean age 37.6 yr, 51% female), with 92% (95% CI 91%-93%) of infections diagnosed. Of those 308 people with Lyme Disease diagnoses, 67 (95% CI 65-69) developed sequelae (e.g., arthritic, cardiac, neurologic sequelae), and 34 (95% CI 33-35) developed PTLDS. Lyme disease resulted in a loss of 84.5 QALYs (95% CI 82.9-86.2) over the lifetime of the simulated cohort. Sensitivity and scenario analysis showed that increasing incidence rates of Lyme disease, potential underreporting, duration of PTLDS and quality of life (health state utility) associated with PTLDS had the greatest impact on health burden. |
URL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598239/ |