![]() In the United States, the number of adults who own a smartphone has been steadily increasing over time for every age group within the adult population. Introduction The Use of Mobile Health in Vector-Borne Diseases This information will be used to improve future iterations of The Tick App and tailor potential tick prevention interventions to the users’ characteristics. Most users owned a pet (65.94%, 962/1459 P55 years IRR 3.4, 95% CI 1.5-7.6 P<.001) and lower in the Northeast (IRR 0.4, 95% CI 0.3-0.7 P<.001), whereas the number of tick reports (median 1, IQR 1-2) increased with the frequency of outdoor activities (IRR 1.5, 95% CI 1.3-1.8 P<.001).Ĭonclusions: This assessment allowed us to identify what fraction of the population used The Tick App and how it was used during a pilot phase. The Tick App users were equally represented across genders and evenly distributed across age groups. Results: Between May and September 2018, 1468 adult users enrolled in the app. Using quantitative and qualitative methods, we evaluated the enrollment strategy (passive vs active), the user profile, location, longitudinal use of its features, and users’ feedback. It consists of an enrollment survey to identify general risk factors, daily surveys to collect data on human activities and tick encounters (Tick Diaries), a survey to enter the details of tick encounters coupled with tick identification services provided by the research team (Report a Tick), and educational material. Methods: The Tick App was designed as a survey tool to collect data on human behaviors and movements associated with tick exposure while engaging users in tick identification and reporting. Objective: This study aimed to assess the usability and feasibility of The Tick App, the first tick research–focused app in the United States. Although mHealth apps have been widely implemented in chronic diseases and psychology, their potential use in the research of vector-borne diseases has not yet been fully exploited. ![]() Schemerhorn Ext Building, 11th Floor, Room 1013Įmail: Mobile health (mHealth) technology takes advantage of smartphone features to turn them into research tools, with the potential to reach a larger section of the population in a cost-effective manner, compared with traditional epidemiological methods.
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