| Literature DB >> 30666935 |
Jonathon D Kotwa, Mats Isaksson, Claire M Jardine, G Douglas Campbell, Olaf Berke, David L Pearl, Nicola J Mercer, Eva Osterman-Lind, Andrew S Peregrine.
Abstract
Alveolar echinococcosis, the disease caused by infection with the intermediate stage of the Echinococcus multilocularis tapeworm, is typically fatal in humans and dogs when left untreated. Since 2012, alveolar echinococcosis has been diagnosed in 5 dogs, 3 lemurs, and 1 chipmunk in southern Ontario, Canada, a region previously considered free of these tapeworms. Because of human and animal health concerns, we estimated prevalence of infection in wild canids across southern Ontario. During 2015-2017, we collected fecal samples from 460 wild canids (416 coyotes, 44 foxes) during postmortem examination and analyzed them by using a semiautomated magnetic capture probe DNA extraction and real-time PCR method for E. multilocularis DNA. Surprisingly, 23% (95% CI 20%-27%) of samples tested positive. By using a spatial scan test, we identified an infection cluster (relative risk 2.26; p = 0.002) in the western-central region of the province. The cluster encompasses areas of dense human population, suggesting zoonotic transmission.Entities:
Keywords: Canada; Canis latrans; Echinococcus multilocularis; Ontario; Vulpes vulpes; alveolar echinococcosis; cestodes; coyotes; distribution; dogs; foxes; parasites; prevalence; public health; southern Ontario; wild canids; zoonoses
Mesh:
Year: 2019 PMID: 30666935 PMCID: PMC6346450 DOI: 10.3201/eid2502.180299
Source DB: PubMed Journal: Emerg Infect Dis ISSN: 1080-6040 Impact factor: 6.883
Figure 1Map of the 29 southern Ontario public health units’ boundaries and corresponding identification numbers (see Table). Inset shows location of southern Ontario within Canada.
Prevalence of Echinococcus multilocularis infection and Bayesian-smoothed prevalence estimates in wild canids, by public health unit, southern Ontario, 2015–2017*
| ID | Public health unit | No. wild canids |
| Prevalence | ||
| Tested | Positive | Unadjusted, %
(95% CI)† | Bayesian estimate, % | |||
| 3527 | Brant County Health Unit | 14 | 10 | 71 (45–89) | 46 | |
| 3530 | Durham Regional Health Unit | 2 | 0 | 0 (0–71) | 27 | |
| 3531 | Elgin-St. Thomas Health Unit | 15 | 5 | 33 (15–58) | 30 | |
| 3533 | Grey Bruce Health Unit | 56 | 6 | 11 (5–22) | 13 | |
| 3534 | Haldimand-Norfolk Health Unit | 10 | 4 | 40 (17–69) | 36 | |
| 3535 | Haliburton, Kawartha, Pine Ridge District Health Unit | 0 | NA | NA | NA | |
| 3536 | Halton Regional Health Unit | 11 | 5 | 45 (21–72) | 28 | |
| 3537 | City of Hamilton Health Unit | 12 | 5 | 42 (19–68) | 34 | |
| 3538 | Hastings and Prince Edward Counties Health Unit | 1 | 1 | 100 (17–100) | 25 | |
| 3539 | Huron Health Unit | 39 | 3 | 8 (2–21) | 19 | |
| 3540 | Chatham-Kent Health Unit | 1 | 1 | 100 (17–100) | 31 | |
| 3541 | Kingston, Frontenac and Lennox and Addington Health Unit | 2 | 0 | 0 (0–71) | 5 | |
| 3542 | Lambton Health Unit | 1 | 0 | 0 (0–83) | 21 | |
| 3543 | Leeds, Grenville and Lanark District Health Unit | 44 | 2 | 5 (<1–16) | 4 | |
| 3544 | Middlesex-London Health Unit | 41 | 14 | 34 (21–50) | 28 | |
| 3546 | Niagara Regional Health Unit | 19 | 6 | 32 (15–54) | 37 | |
| 3551 | City of Ottawa Health Unit | 3 | 0 | 0 (0–62) | 4 | |
| 3552 | Oxford County Health Unit | 36 | 7 | 19 (9–35) | 28 | |
| 3553 | Peel Regional Health Unit | 0 | NA | NA | NA | |
| 3554 | Perth District Health Unit | 35 | 10 | 29 (16–45) | 24 | |
| 3555 | Peterborough County-City Health Unit | 0 | NA | NA | NA | |
| 3557 | Renfrew County and District Health Unit | 1 | 0 | 0 (0–83) | 5 | |
| 3558 | Eastern Ontario Health Unit | 1 | 0 | 0 (0–83) | 4 | |
| 3560 | Simcoe Muskoka District Health Unit | 1 | 0 | 0 (0–83) | 17 | |
| 3565 | Waterloo Health Unit | 12 | 3 | 25 (8–54) | 28 | |
| 3566 | Wellington-Duferin-Guelph Health Unit | 55 | 12 | 22 (13–35) | 20 | |
| 3568 | Windsor-Essex County Health Unit | 40 | 10 | 25 (14–40) | 27 | |
| 3570 | York Regional Health Unit | 8 | 3 | 38 (13–70) | 27 | |
| 3595 | City of Toronto Health Unit | 0 | NA | NA | NA | |
*NA, not applicable. †Our data failed to meet the underlying assumption of independence for constructing CIs. We constructed Agresti-Coull confidence intervals for prevalence estimates because this method has been recommended for data that violate the assumption of independence ().
Figure 2Choropleth maps of A) the unadjusted prevalence and B) the empirical Bayesian-smoothed prevalence of Echinococcus multilocularis tapeworms in coyotes and foxes across 25 southern Ontario public health units, 2015–2017. Unadjusted and smoothed prevalence estimates are categorized by quartiles on the basis of unadjusted prevalence estimates. Red boundaries indicate a significant spatial cluster of high prevalence identified by using a spatial scan test with a Bernoulli model on the basis of data georeferenced to their public health units (relative risk 2.26; p = 0.002).