Published on in Vol 7, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14769, first published .
Usability and Feasibility of a Smartphone App to Assess Human Behavioral Factors Associated with Tick Exposure (The Tick App): Quantitative and Qualitative Study

Usability and Feasibility of a Smartphone App to Assess Human Behavioral Factors Associated with Tick Exposure (The Tick App): Quantitative and Qualitative Study

Usability and Feasibility of a Smartphone App to Assess Human Behavioral Factors Associated with Tick Exposure (The Tick App): Quantitative and Qualitative Study

Journals

  1. Smith R, Reisen W. Highlights in Medical Entomology, 2019: Familiar Foes and New Frontiers. Journal of Medical Entomology 2020;57(5):1349 View
  2. Bron G, Fernandez M, Larson S, Maus A, Gustafson D, Tsao J, Diuk-Wasser M, Bartholomay L, Paskewitz S. Context matters: Contrasting behavioral and residential risk factors for Lyme disease between high-incidence states in the Northeastern and Midwestern United States. Ticks and Tick-borne Diseases 2020;11(6):101515 View
  3. Eisen L, Eisen R, Hamer S. Benefits and Drawbacks of Citizen Science to Complement Traditional Data Gathering Approaches for Medically Important Hard Ticks (Acari: Ixodidae) in the United States. Journal of Medical Entomology 2020 View
  4. Rau A, Munoz-Zanzi C, Schotthoefer A, Oliver J, Berman J. Spatio-Temporal Dynamics of Tick-Borne Diseases in North-Central Wisconsin from 2000–2016. International Journal of Environmental Research and Public Health 2020;17(14):5105 View
  5. Diuk-Wasser M, VanAcker M, Fernandez M, Reisen W. Impact of Land Use Changes and Habitat Fragmentation on the Eco-epidemiology of Tick-Borne Diseases. Journal of Medical Entomology 2021;58(4):1546 View
  6. Porter W, Barrand Z, Wachara J, DaVall K, Mihaljevic J, Pearson T, Salkeld D, Nieto N, Wooten R. Predicting the current and future distribution of the western black-legged tick, Ixodes pacificus, across the Western US using citizen science collections. PLOS ONE 2021;16(1):e0244754 View
  7. Bron G, Fernandez M, Bartholomay L, Diuk-Wasser M, Paskewitz S, Tsao J, Reisen W. Comment on Eisen and Eisen (2020) ‘Benefits and Drawbacks of Citizen Science to Complement Traditional Data Gathering Approaches for Medically Important Hard Ticks (Acari: Ixodidae) in the United States’ Regarding the Tick App and Research-Based Citizen Science. Journal of Medical Entomology 2021;58(3):991 View
  8. Cull B, Samy A. Potential for online crowdsourced biological recording data to complement surveillance for arthropod vectors. PLOS ONE 2021;16(4):e0250382 View
  9. Kopsco H, Duhaime R, Mather T, Diuk-Wasser M. Crowdsourced Tick Image-Informed Updates to U.S. County Records of Three Medically Important Tick Species. Journal of Medical Entomology 2021 View
  10. Omodior O, Saeedpour-Parizi M, Rahman M, Azad A, Clay K. Using convolutional neural networks for tick image recognition – a preliminary exploration. Experimental and Applied Acarology 2021;84(3):607 View