Evidence map›Paper›PMID 41492302›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Environmental risk factors of human Q fever in Spain.

Daniel Cifo, María Alonso-Colón, David González-Barrio, Beatriz Fernández-Martínez, Rebeca Ramis, Isabel Jado, Rosa M Estévez-Reboredo, Diana Gómez-Barroso

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Daniel CifoCarlos III Health Institute - National School of Public Health (ISCIII-ENS), Madrid, Spain.
María Alonso-ColónCarlos III Health Institute - National School of Public Health (ISCIII-ENS), Madrid, Spain.
David González-BarrioCarlos III Health Institute - National Centre of Microbiology (ISCIII-CNM), Madrid, Spain.
Beatriz Fernández-MartínezCarlos III Health Institute - National Centre of Epidemiology (ISCIII-CNE). Department of Infectious Diseases, Madrid, Spain.
Rebeca RamisConsortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Isabel JadoCarlos III Health Institute - National Centre of Microbiology (ISCIII-CNM), Madrid, Spain.
Rosa M Estévez-ReboredoCarlos III Health Institute - National Centre of Epidemiology (ISCIII-CNE). Department of Infectious Diseases, Madrid, Spain.
Diana Gómez-BarrosoCarlos III Health Institute - National Centre of Epidemiology (ISCIII-CNE). Department of Infectious Diseases, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Q fever is a zoonotic disease caused by Methods: An ecological epidemiological study was conducted to evaluate Q fever risk in Spanish municipalities and its association with environmental factors. Spatial and spatio-temporal regression models were used to estimate relative risk and assess the effects of mean temperature, wind speed, precipitation and caprine, ovine, and bovine density (heads/km Results: The spatial model identified three high-risk areas: the Canary Islands, the north-central Iberian Peninsula and western Andalusia. Mean temperature and caprine density were significant, with a 14 % increase in spatial relative risk for every 10 additional goat heads/km Conclusions: Caprine density appears to be a key determinant of municipal Q fever risk, with potential contributions from temperatures and wind speed. These findings highlight the need for targeted preventive measures, particularly regarding caprine livestock management and industry planning.

Indexed as

EnvironmentLivestockQ feverSpatialTemperatureZoonoses

Identifiers

PMID41492302
PMCPMC12765132

What OpenQuestion holds

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Registered trials

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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.