ArticlePloS one2020
HTrack: A new tool to facilitate public health field visits and electronic data capture.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Incompatible Aedes aegypti male releases as an intervention to reduce mosquito population-A field trial in Puerto Rico.PLoS neglected tropical diseases · 2025Article
- Longitudinal analysis of SARS-CoV-2 IgG antibody durability in Puerto Rico.Scientific reports · 2024Article
- Diagnostic Accuracy of the Abbott BinaxNOW COVID-19 Antigen Card Test, Puerto Rico.Influenza and other respiratory viruses · 2024Article
- Dengue vaccine acceptability before and after the availability of COVID-19 vaccines in Puerto Rico.Vaccine · 2023Article
- Community perceptions on challenges and solutions to implement an Aedes aegypti control project in Ponce, Puerto Rico (USA).PloS one · 2023Article
- COVID-19 Vaccination Intention in a Community Cohort in Ponce, Puerto Rico.The American journal of tropical medicine and hygiene · 2022Article
- Arbovirus risk perception as a predictor of mosquito-bite preventive behaviors in Ponce, Puerto Rico.PLoS neglected tropical diseases · 2022Article
- Risk factors for infection with chikungunya and Zika viruses in southern Puerto Rico: A community-based cross-sectional seroprevalence survey.PLoS neglected tropical diseases · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Many applications have been developed for electronic data collection. However, offline field navigation tools incorporating secure electronic data capture and field visit tracking are currently scarce. We created an R-Shiny application, HTrack (Household Tracking), for use on encrypted Android devices in the field. The application was implemented in the Communities Organized to Prevent Arboviruses (COPA) project, a study beginning in 2018 to better understand arboviral disease incidence in 38 communities in Puerto Rico. The application was used to navigate to randomly selected structures and capture visit outcomes after conducting multiple visits for participant recruitment. It also served as a bridge to an alternate software, Epi Info, to collect participant-level questionnaire data. This application successfully captured each visit outcome and improved the logistics of field level activities for the COPA project, eliminating the use of paper maps for navigation. We show the development of HTrack and comment on the limitations and strengths of this application and further improvements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.