Surveillance of Q Fever in Dairy Cattle in Latvia: Molecular and Serological Findings and Association with Farm and Woodland Density

prevalence was positively associated with a high cattle density and overflowing plains, while the presence of surrounding woodlands was negatively correlated, suggesting a potential natural barrier effect.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2026-04-14
DOI
https://doi.org/10.3390/microorganisms14040881
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surveillance of Q Fever in Dairy Cattle in Latvia: Molecular and Serological Findings and Association with Farm and Woodland Density

Olga Valciņa, Didzis Elferts, Lelde Grantiņa-Ieviņa, Guntis Boikmanis et al.
Microorganisms
Vector-borne infectious diseases
article

Surveillance of Q Fever in Dairy Cattle in Latvia: Molecular and Serological Findings and Association with Farm and Woodland Density

Olga Valciņa, Didzis Elferts, Lelde Grantiņa-Ieviņa, Guntis Boikmanis, Aivars Bērziņš, Juris Ķibilds, Žanete Šteingolde, Artjoms Mališevs
article en

Abstract

prevalence was positively associated with a high cattle density and overflowing plains, while the presence of surrounding woodlands was negatively correlated, suggesting a potential natural barrier effect.

MicroorganismsVol. 14(4)
Institute of Food Safety, Animal Health and Environment “BIOR” (LV)
Latvijas Zinātnes Padome, Zemkopības ministrija
Openalex Percentile: Top 23%
Vector-borne 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.