ReviewRevista da Sociedade Brasileira de Medicina Tropical2026
New technologies for identification and surveillance of Chagas disease vectors.
Review in Revista da Sociedade Brasileira de Medicina Tropical, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Technologies are essential for surveillance of vector-borne diseases. The increasing frequency of triatomine house invasion in the Americas highlights the need to strengthen surveillance strategies. This narrative review examines how emerging technologies can improve identification and reporting of Chagas disease vectors. We analyzed studies published between 2015 and 2025 on digital tools for triatomine surveillance. Technologies were grouped by purpose: (1) identification apps (TriatoKey, TriatoDex, automated identification); (2) community engagement platforms (WhatsBarb, TriatoChat); and (3) institutional surveillance systems (SISVetor-Chagas, GeoVin, Triatomine Information Posts). We summarize their characteristics, applications, knowledge gaps, and potential integration with national surveillance systems, and discuss implications for public health policy. Digital innovation and citizen-based surveillance may support improved prevention and control of vector-borne Chagas disease.
Indexed as
Identifiers
What Socratic 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 Socratic graph.