Evidence map›Paper›PMID 41771663›Full record

ArticleBMJ global health2026

Querying Q fever: spatiotemporal patterns and environmental drivers in French Guiana.

Anissa Desmoulin, Amanda Esparon, Fabrice Quet, Claire Teillet, Pauline Thill, Mathieu Nacher, Emmanuel Roux, Thibault Catry, Loïc Epelboin

Abstract read
In one paragraph

Article in BMJ global health, 2026. 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

9 authors.

Anissa DesmoulinDepartment of Infectious and Tropical Diseases, CHU de La Réunion Sites Sud, Saint-Pierre, Reunion Island anissa.desmoulin@hotmail.fr.ORCID 0000-0001-7204-481X
Amanda EsparonClinical Investigation Centre of French Guiana, CIC Inserm 1424, Inserm UA17 Santé des Populations en Amazonie, CHU de Guyane, Cayenne, French Guiana.
Fabrice QuetClinical Investigation Centre of French Guiana, CIC Inserm 1424, Inserm UA17 Santé des Populations en Amazonie, CHU de Guyane, Cayenne, French Guiana.
Claire TeilletESPACE-DEV, IRD, Université de Montpellier, Université de Guyane, Université de La Réunion, Université de Perpignan, Montpellier, France.
Pauline ThillLille Universitary Hospital, infectious and Tropical Diseases Department, Lille, France.
Mathieu NacherClinical Investigation Centre of French Guiana, CIC Inserm 1424, Inserm UA17 Santé des Populations en Amazonie, CHU de Guyane, Cayenne, French Guiana.
Emmanuel RouxESPACE-DEV, IRD, Université de Montpellier, Université de Guyane, Université de La Réunion, Université de Perpignan, Montpellier, France.
Thibault CatryESPACE-DEV, IRD, Université de Montpellier, Université de Guyane, Université de La Réunion, Université de Perpignan, Montpellier, France.
Loïc EpelboinClinical Investigation Centre of French Guiana, CIC Inserm 1424, Inserm UA17 Santé des Populations en Amazonie, CHU de Guyane, Cayenne, French Guiana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQ fever is a zoonotic infection caused by the bacterium

methodsA retrospective study was conducted on acute Q fever human cases from January 2007 to December 2017. Cases were aggregated into regular grids, and explanatory variables derived from remote sensing data or local sources. Clusters were identified using spatial autocorrelation and spatiotemporal scanning. A generalized Poisson additive model was applied for explanatory modelling.

findingsA total of 513 cases of acute Q fever were aggregated within 1205 analysis units. Spatial and spatiotemporal analyses identified six clusters, all classified as hotspots. An epicentre was detected at the base of 'Mont Rémire' in the municipality of 'Rémire-Montjoly'. Several risk factors were associated with the occurrence of acute Q fever cases: proximity to forests (edf: 4.05), wild live mammals watching (edf: 1.00), slaughterhouse (edf: 6.11), density of potentially unfit housing (edf: 6.53) and spatial distribution (edf: 2.00).

interpretationThis study identifies priority areas where public health actions and research efforts should be focused, including slaughterhouses, farms and the surrounding wildlife.

Indexed as

Q FeverAnimalsFrench GuianaHumansRetrospective StudiesRisk FactorsSpatio-Temporal AnalysisZoonosesCross-sectional surveyEnvironmental healthEpidemiologyInfections, diseases, disorders, injuriesPublic Health

Identifiers

PMID41771663
PMCPMC12959030

What OpenQuestion holds

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LicenceCC BY-NC
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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.