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NCT04172025

Development of a Swiss Surveillance Database for Molecular Epidemiology of Hypervirulent and Multi-drug Resistant Pathogens

Recruiting now Last updated 14 May 2025
What this trial tests

trial testing Analysis of Bacterial Genome in Multiresistant Bacterial Pathogens in 10,000 participants. Currently enrolling.

Timeline
30 September 2019
Primary endpoint
31 December 2029
31 December 2029

Quick facts

Lead sponsorUniversity Hospital, Basel, Switzerland
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment10,000
Start date30 September 2019
Primary completion31 December 2029
Estimated completion31 December 2029
Sites5 locations across Switzerland

Drugs / interventions tested

Conditions studied

Sponsor

University Hospital, Basel, Switzerland

Who can join

Eligibility, any sex, with Multiresistant Bacterial Pathogens or Virulent Bacterial Pathogens. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Hypervirulent and multidrug-resistant infections are associated with significant health care costs, substantial morbidity and mortality. Therefore, the rapid recognition of outbreaks and transmissions with hypervirulent and multi-drug resistant pathogen is a key priority for infection control and public health.The main goal is to implement a shared database, connecting human and veterinary microbiology laboratories, which would allow near real-time molecular epidemiology with high spatiotemporal resolution of bacterial pathogens such as transmission and outbreak surveillance between different compartments including humans, animals and the environment in Switzerland. Investigator aims to analyze already collected encoded retrospective datasets of various pathogens by combining epidemiological data and whole genome sequences from pathogens.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. The Swiss Pathogen Surveillance Platform - towards a nation-wide One Health data exchange platform for bacterial, viral and fungal genomics and associated metadata.
    Neves A, Walther D, Martin-Campos T, Barbie V, et al · · 2023 · cited 18× · PMID 37171846 · DOI 10.1099/mgen.0.001001

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Trials by the same sponsor.

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