This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (907) Human Factors and Usability Case Studies (739) Participatory Epidemiology and Surveillance (106) mHealth for Wellness, Behavior Change and Prevention (2728) Usability of Apps and User Perceptions of mHealth (892)

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

Authors of this article:

Maria P Fernandez1, 2 Author Orcid Image ;   Gebbiena M. Bron3 Author Orcid Image ;   Pallavi A Kache2 Author Orcid Image ;   Scott R Larson3 Author Orcid Image ;   Adam Maus4 Author Orcid Image ;   David Gustafson Jr4 Author Orcid Image ;   Jean I Tsao5 Author Orcid Image ;   Lyric C Bartholomay6 Author Orcid Image ;   Susan M Paskewitz3 Author Orcid Image ;   Maria A Diuk-Wasser2 Author Orcid Image
Article Authors Cited by (26) Tweetations (24) Metrics

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;58(6):2412 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
  11. Hart C, Bhaskar J, Reynolds E, Hermance M, Earl M, Mahoney M, Martinez A, Petzlova I, Esterly A, Thangamani S, Peterson J. Community engaged tick surveillance and tickMAP as a public health tool to track the emergence of ticks and tick-borne diseases in New York. PLOS Global Public Health 2022;2(6):e0000215 View
  12. Justen L, Carlsmith D, Paskewitz S, Bartholomay L, Bron G, Hum Y. Identification of public submitted tick images: A neural network approach. PLOS ONE 2021;16(12):e0260622 View
  13. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  14. Cuadera M, Mader E, Safi A, Harrington L. Knowledge, attitudes, and practices for tick bite prevention and tick control among residents of Long Island, New York, USA. Ticks and Tick-borne Diseases 2023;14(3):102124 View
  15. Kopsco H, Mather T. Tick-Borne Disease Prevention Behaviors Among Participants in a Tick Surveillance System Compared with a Sample Of Master Gardeners. Journal of Community Health 2022;47(2):246 View
  16. Kache P, Santos-Vega M, Stewart-Ibarra A, Cook E, Seto K, Diuk-Wasser M. Bridging landscape ecology and urban science to respond to the rising threat of mosquito-borne diseases. Nature Ecology & Evolution 2022;6(11):1601 View
  17. Dye-Braumuller K, Gordon J, McCoy K, Johnson D, Dinglasan R, Nolan M, Faraji A. Riding the Wave: Reactive Vector-Borne Disease Policy Renders the United States Vulnerable to Outbreaks and Insecticide Resistance. Journal of Medical Entomology 2022;59(2):401 View
  18. Poh K, Evans J, Skvarla M, Machtinger E. All for One Health and One Health for All: Considerations for Successful Citizen Science Projects Conducting Vector Surveillance from Animal Hosts. Insects 2022;13(6):492 View
  19. Kopsco H, Duhaime R, Mather T. An analysis of companion animal tick encounters as revealed by photograph‐based crowdsourced data. Veterinary Medicine and Science 2021;7(6):2198 View
  20. Fernandez M, Ernst K, Bron G, Berry K, Diuk-Wasser M, Hayden M. Outdoor Activity Associated with Higher Self-Reported Emotional Well-Being During COVID-19. EcoHealth 2022;19(2):154 View
  21. Freeman E, Salkeld D. Surveillance of Rocky Mountain wood ticks (Dermacentor andersoni) and American dog ticks (Dermacentor variabilis) in Colorado. Ticks and Tick-borne Diseases 2022;13(6):102036 View
  22. Ballman E, Leahy J, Sponarski C, Galli M, Gardner A. A citizen science approach to investigate the distribution, abundance, and pathogen infection of vector ticks through active surveillance. Ticks and Tick-borne Diseases 2023;14(3):102144 View
  23. Kache P, Bron G, Zapata-Ramirez S, Tsao J, Bartholomay L, Paskewitz S, Diuk-Wasser M, Fernandez M. Evaluating spatial and temporal patterns of tick exposure in the United States using community science data submitted through a smartphone application. Ticks and Tick-borne Diseases 2023;14(4):102163 View
  24. Fernández-Ruiz N, Estrada-Peña A, McElroy S, Morse K, Trout Fryxell R. Passive collection of ticks in New Hampshire reveals species-specific patterns of distribution and activity. Journal of Medical Entomology 2023;60(3):575 View
  25. Tamayo L, Condori-Pino C, Sanchez Z, Gonçalves R, Málaga Chávez F, Castillo-Neyra R, Levy M, Paz-Soldan V, Villinger J. An effective internet-based system for surveillance and elimination of triatomine insects: AlertaChirimacha. PLOS Neglected Tropical Diseases 2023;17(10):e0011694 View
  26. Maxwell S, Brooks C, Kim D, McNeely C, Cho S, Thomas K. Improving Surveillance of Human Tick-Borne Disease Risks: Spatial Analysis Using Multimodal Databases. JMIR Public Health and Surveillance 2023;9:e43790 View