Introducing the pig barometer: A comprehensive pilot tool for mapping diagnostic test results and geolocation of swine endemic pathogens in Spain

This work introduces the Pig Barometer, a pilot dashboard that visualizes PCR-based diagnostic data for three endemic swine pathogens—Mycoplasma hyopneumoniae, swine influenza virus (SIV), and Lawsonia intracellularis—from Spanish veterinary laboratories. Data from 23,249 cases (2020–2023) were cleaned in Python, converted to RDF, and structured with ontologies for interoperability. Visualization was implemented in Tableau, showing trends by time, specimen type, production stage, and geography. Positive detection rates were 24.1% for SIV, 27% for M. hyopneumoniae, and 41.8% for L. intracellularis. The tool supports disease surveillance and decision-making, with plans to expand to more pathogens and countries. This work was presented as a poster at the European Symposium of Porcine Health Management (ESPHM) 2025, held in Bern, Switzerland (Reference: HHM-PP-08).

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.17725946
Primary Topic
Veterinary medicine and infectious diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Introducing the pig barometer: A comprehensive pilot tool for mapping diagnostic test results and geolocation of swine endemic pathogens in Spain

Zenodo (CERN European Organization for Nuclear Research)
Veterinary medicine and infectious diseases
article

Introducing the pig barometer: A comprehensive pilot tool for mapping diagnostic test results and geolocation of swine endemic pathogens in Spain

article en

Abstract

This work introduces the Pig Barometer, a pilot dashboard that visualizes PCR-based diagnostic data for three endemic swine pathogens—Mycoplasma hyopneumoniae, swine influenza virus (SIV), and Lawsonia intracellularis—from Spanish veterinary laboratories. Data from 23,249 cases (2020–2023) were cleaned in Python, converted to RDF, and structured with ontologies for interoperability. Visualization was implemented in Tableau, showing trends by time, specimen type, production stage, and geography. Positive detection rates were 24.1% for SIV, 27% for M. hyopneumoniae, and 41.8% for L. intracellularis. The tool supports disease surveillance and decision-making, with plans to expand to more pathogens and countries. This work was presented as a poster at the European Symposium of Porcine Health Management (ESPHM) 2025, held in Bern, Switzerland (Reference: HHM-PP-08).

Zenodo (CERN European Organization for Nuclear Research)
Cornell University (US), Alcoa (United States) (US), Ghent University (BE), Hispanics in Philanthropy (US), Computer Algorithms for Medicine (AT), Centre de Recerca en Sanitat Animal (ES), Exact Sciences (United States) (US), Istituto Sperimentale per la Zootecnia (IT), Institute of Animal Science and Pastures (BR), Eurofins (France) (FR)
Peace, Justice and strong institutions
Openalex Percentile: Top 34%
Veterinary medicine and infectious diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.