Web Mapping and Behavior Pattern Extraction Tools to Assess Lyme Disease Risk for Humans in Peri‐Urban Forests

摘要: Lyme disease is a zoonotic that poses new public health problem in urbanized areas where increasingly large numbers of people attend urban forests and park settings. Understanding spatial patterns human risk exposure to critical target prevention, control, surveillance actions. To this end, we adopt geographic approach the extent related type, frequency, duration person's activities tick-infested environment. extract visitors’ typical behavior patterns, used questionnaires web mapping tools collect data about Forollect visitorsdopt the, propose formal model activity present method automatically them from collected data. Our pattern extraction tool can be assess at-risk behaviors certain categories visitors, which help authorities implement preventive