HTrack

HTrack captures and manages field-level epidemiological and navigation data for public health studies, enabling secure electronic data capture and navigation to randomly selected structures for arboviral disease surveillance.


Key Features:

  • Offline and online operation: Supports both offline and online data collection to accommodate variable field connectivity.
  • R-Shiny implementation: Implemented as an R-Shiny application for application logic and data handling.
  • Encrypted Android deployment: Runs on encrypted Android devices to meet data-security requirements.
  • Secure field navigation: Guides users to randomly selected structures within study areas for field visits.
  • Field-level visit outcome capture: Records visit outcomes across multiple field visits for participant recruitment documentation.
  • Integration with Epi Info: Facilitates transfer or integration of participant-level questionnaire data with Epi Info.

Scientific Applications:

  • COPA project deployment: Deployed in the Communities Organized to Prevent Arboviruses (COPA) project to investigate arboviral disease incidence across 38 communities in Puerto Rico.
  • Field epidemiological data collection: Used to navigate field sites and capture participant recruitment and visit outcome data with linkage to questionnaire records.

Methodology:

Implemented as an R-Shiny application for encrypted Android devices, providing offline/online operation, secure navigation to randomly selected structures, capture of visit outcomes, and integration with Epi Info for participant-level questionnaire data.

Topics

Details

Tool Type:
library
Programming Languages:
R
Added:
1/18/2021
Last Updated:
2/1/2021

Operations

Publications

Rodríguez DM, Ryff K, Sánchez-Gonzalez L, Rivera-Amill V, Paz-Bailey G, Adams L. HTrack: A new tool to facilitate public health field visits and electronic data capture. PLOS ONE. 2020;15(12):e0244028. doi:10.1371/journal.pone.0244028. PMID:33320896. PMCID:PMC7737954.