2021
DOI: 10.1002/vms3.586
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An analysis of companion animal tick encounters as revealed by photograph‐based crowdsourced data

Abstract: Background: Community science is increasingly utilized to track important vectors of companion animal disease, providing a scalable, cost-effective strategy for identifying new foci, changing phenology, and disease prevalence across wide geographies. Objectives:We examined photographs of ticks found attached to predominately dogs and cats reported to a photograph-based tick surveillance program to identify potential areas for improvements in tick prevention education and risk intervention. Methods:We compared … Show more

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Cited by 7 publications
(7 citation statements)
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“…Community-surveillance programs have often been used to track the emergence and persistence of tick populations and tick-borne pathogens [59][60][61][62][63][64][65][66][67][68]. These vary in scale and methodology.…”
Section: Limitations Of the Community-science Submission Programmentioning
confidence: 99%
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“…Community-surveillance programs have often been used to track the emergence and persistence of tick populations and tick-borne pathogens [59][60][61][62][63][64][65][66][67][68]. These vary in scale and methodology.…”
Section: Limitations Of the Community-science Submission Programmentioning
confidence: 99%
“…These vary in scale and methodology. In some cases, the ticks themselves are not collected, with information being instead gained from photographs of ticks submitted for identification [60,65]. This process, although requiring less reagent and processing investment, relies heavily on the quality of the photographs taken especially with regard to fine-detail necessary for species identification within a genus [69] but can be more accessible to users unwilling to handle or mail tick samples.…”
Section: Limitations Of the Community-science Submission Programmentioning
confidence: 99%
“…Given that physical specimen collection and submission can be costly to researchers and/or citizen scientists, another option to collect data points include the use of citizen-submitted images through a mobile device application (“app”) or website, where photos can be used for vector surveillance. The use of digital technology and big data for vector surveillance in human and animal populations has been increasing throughout Australia, Europe, and North America [ 7 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ], however, only one study used digital technology to conduct vector surveillance among animals from people who have professional companion animal access [ 35 ]. The study evaluated the feasibility of images submitted by veterinarians for Ixodes scapularis surveillance in Quebec, Canada.…”
Section: Professional Companion Animal Accessmentioning
confidence: 99%
“…With nearly 85% of the adult population owning a smartphone, which have ever increasing camera capabilities [ 52 ], images submitted by animal owners is another option to collect data for vector surveillance [ 27 , 28 ]. These studies reinforced the idea that tick identifications via crowdsourced images can be used as a tool for risk assessment and tick monitoring on companion animals across large geographic scales as well as identifying hotspots for tick activity that put humans and their animals at risk for tick-borne diseases [ 27 , 28 ]. This provides a cost-effective choice for arthropod vector collection from animals by citizen scientists.…”
Section: Personal Companion Animal Accessmentioning
confidence: 99%
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