Methods of Combating Salmonellosis in Calves in Azerbaijan
Bulletin of Science and Practice·
- DOI
- 10.33619/2414-2948/123/49
- PMID
- —
- PMCID
- —
- OpenAlex
- W7128908243
- Study type
- Journal article
- Publisher
- Publishing Center Science and Practice
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Salmonellosis in calves poses zoonotic risk to humans. Enhanced GIS-based surveillance may improve targeting of control measures in endemic regions of Azerbaijan.
Structured evidence summary
Research question
The study describes a four-phase methodological approach using GIS technologies to enhance epizootiological surveillance of salmonellosis in calves in Lenkaran city, Azerbaijan.
Study design
The authors present a methodological framework comprising database creation, GIS-based mapping, territorial zoning, and integrated analysis of socio-ecological factors affecting salmonellosis epizootics. The design emphasizes application of geospatial tools to epizootiological data rather than a traditional experimental or observational epidemiologic study.
Population and setting
The study focuses on calves under two months of age in Lenkaran city, Azerbaijan, where salmonellosis peaks in spring following calving season.
Main findings
Implementation of the GIS methodology enables evaluation of epizootiological significance of foci, investigation of socio-ecological factors influencing infection exposure, and territorial zoning based on epidemiologically significant criteria. The approach supports development of scientifically substantiated prophylactic and anti-epizootic measures.
Public-health relevance
Salmonellosis in calves poses zoonotic risk to humans. Enhanced GIS-based surveillance may improve targeting of control measures in endemic regions of Azerbaijan.
Important limitations
This summary relies on a single-article abstract and metadata. The abstract does not report primary epidemiologic outcomes, sample sizes, validation of the GIS methodology, or comparative effectiveness data. Full interpretation requires access to the original paper.
GIDS interpretation
The article was identified through classifier links to salmonellosis surveillance in Azerbaijan. It describes a methodological tool for epizootiological analysis rather than reporting new outbreak data or shifts in disease patterns.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 5 auditable classifier relationships to diseases, places, topics, and study design.