ArticleData in brief2026
FAIR occurrence data for disease vectors in Paraguay: provenance, quality, and reuse potential (1998-2023).
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
17 authors.
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Abstract
This article describes a nationwide, georeferenced entomological dataset of disease vectors compiled from the historical archives of the Servicio Nacional de Erradicación del Paludismo (SENEPA) in Paraguay from 1998 to 2023. The dataset consolidates 20,619 standardized occurrence records derived from routine programmatic surveillance, targeted ecological-zone monitoring, and reactive outbreak responses. Each record is mapped to the Darwin Core standard and includes taxonomic identification, administrative location, geographic coordinates (WGS84), georeferencing provenance, and spatial uncertainty. Data cleaning, harmonization, and taxonomic curation were executed in R using reproducible workflows, incorporating GBIF Backbone Taxonomy alignment and independent expert validation. Designed to support FAIR data reuse, this repository provides a high-density spatial baseline. Because collections originate from institutional surveillance rather than probabilistic sampling designs, users must account for spatial and temporal sampling biases in downstream ecological analyses.
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