Details

Autor(en) / Beteiligte

• Pelletier, Jérôme
• Guillot, Camille
• Rocheleau, Jean-Philippe
• Bouchard, Catherine
• Baron, Geneviève
• Bédard, Christian
• Dibernardo, Antonia
• Lindsay, L. Robbin
• Leighton, Patrick A.
• Aenishaenslin, Cécile

Titel

The added value of One Health surveillance: data from questing ticks can provide an early signal for anaplasmosis outbreaks in animals and humans

Ist Teil von

• Canadian journal of public health, 2023-04, Vol.114 (2), p.317-324

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2023

Link zum Volltext

Quelle

SpringerLink

Beschreibungen/Notizen

• Objective In 2021, a first outbreak of anaplasmosis occurred in animals and humans in southern Québec, with 64% of confirmed human cases located in Bromont municipality. Ixodes scapularis ticks and Peromyscus mouse ear biopsies collected in Bromont from 2019 to 2021 were analyzed for Anaplasma phagocytophilum (Ap) with the objective of determining whether an early environmental signal could have been detected before the outbreak. Methods Samples were collected for a concurrent study aiming to reduce Lyme disease risk. Between 2019 and 2021, up to 14 experimental sites were sampled for ticks and capture of small mammals took place on three sites in 2021. Samples were screened for Ap using multiplex real-time PCR, and genetic strains were identified using a single-nucleotide polymorphism assay. Results Analyses showed an increase of 5.7% in Ap prevalence in ticks (CI95: 1.5–9.9) between 2019 and 2020, i.e., one year before the outbreak. A majority of Ap-positive ticks were infected with the zoonotic strain (68.8%; CI95: 50.0–83.9) during the study period. In 2021, 2 of 59 captured Peromycus mice were positive for Ap, for a prevalence of 3.4% (CI95: 0.4–11.7). Conclusion We conclude that data collected in Bromont could have provided an early signal for an anaplasmosis risk increasing in the targeted region. This is a reminder that integrated surveillance of tick-borne diseases through structured One Health programs, i.e. systematically integrating data from humans, animals and the environment, can provide useful and timely information for better preparedness and response in public health.