Analyses of the prevalence distribution of tularaemia (Francisella tularensis) in different vectors and the seroprevalence of the local population within an epidemiological high-prevalence cluster at Tuniberg/Kaiserstuhl

Analyses of the prevalence distribution of tularaemia (Francisella tularensis) in different vectors and the seroprevalence of the local population within an epidemiological high-prevalence cluster at Tuniberg/Kaiserstuhl - TuniKa

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00037107

Enrollment

800

Registered

2025-10-06

Start date

2026-03-01

Completion date

Unknown

Last updated

2026-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

A21.0

Interventions

Group 1: 1. Additional serum analysis of voluntary healthy blood donors to determine the seroprevalence of Francisella tularensis within the Breisgau-Hochschwarzwald district and the clinical-epidemio

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Voluntary blood donors

Exclusion criteria

Exclusion criteria: missing informed consent

Design outcomes

Primary

Measure	Time frame
Detection of F. tularensis DNA in vector pools and environmental samples and determination of the minimum infection rate	—

Secondary

Measure	Time frame
Detection of a higher seroprevalence in the local population of the clinical-epidemiological transmission cluster compared to the general population of the associated district. Identification of further potential transmission clusters using the sero-epidemiological data from the general blood donation samples in combination with the clinical notification data from the health authorities Detection of ecological and climatic factors influencing vector activity and transmission of tularaemia Successful establishment of a predictive geostatistical model for predicting further transmission clusters Detection of further vector-associated diseases in the collected vector pools, e.g. Rickettsia spp, Babesia spp. Anaplasma spp., Borellia spp. and possibly new emerging infections such as Crimean-Congo fever virus	—

Measure

Time frame

Detection of a higher seroprevalence in the local population of the clinical-epidemiological transmission cluster compared to the general population of the associated district. Identification of further potential transmission clusters using the sero-epidemiological data from the general blood donation samples in combination with the clinical notification data from the health authorities Detection of ecological and climatic factors influencing vector activity and transmission of tularaemia Successful establishment of a predictive geostatistical model for predicting further transmission clusters Detection of further vector-associated diseases in the collected vector pools, e.g. Rickettsia spp, Babesia spp. Anaplasma spp., Borellia spp. and possibly new emerging infections such as Crimean-Congo fever virus

—

Countries

Germany

Contacts

Public ContactDaniel Hornuss

Universitätsklinikum Freiburg, Innere Medizin II, Abteilung für Infektiologie

daniel.hornuss@uniklinik-freiburg.de+4976127018190

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 11, 2026