Serological Measurement of Montpellier Professionals' Contacts with Infectious Agents Responsible for Animal-borne Diseases (SEZAM)

February 27, 2025 updated by: University Hospital, Montpellier

Seroprevalence of Zoonotic and Arboviral Emerging Infections in Exposed Agents from the City of Montpellier: a Transversal Study.

Zoonoses and arboviroses refer to a group of diseases transmitted from animals to humans, either directly or indirectly (via mosquitoes, ticks or contact with contaminated environments). Most of these diseases are found in certain tropical zones, but global warming and increased international trade are modifying their geographical distribution, with a gradual trend towards temperate regions. A number of these pathogens have already been detected in Occitania, including dengue fever, West Nile, leishmaniasis and Q fever. Given the region's high mosquito population and favorable climatic conditions, other zoonoses have a strong potential to appear in the region, or may already be circulating at a low level. The study focuses on 18 pathogens selected for their potential to emerge and establish themselves in the Occitanie region: Leishmaniasis, Leptospirosis, Brucellosis, Q fever, Rickettsiosis, Tularemia, Psittacosis, Lyme disease, Tick-borne encephalitis, Hantavirus, Hepatitis E virus, Dengue virus, Zika virus, Chikungunya virus, West-Nile virus, Usutu virus, Toscana virus, Crimean-Congo haemorrhagic fever virus.

The aim of the study is to find out whether patients have antibodies against these infectious agents, which would indicate that they have been exposed to them in the past, even in the absence of symptoms.

Describing the circulation of these pathogens will enable to implement appropriate public health measures to avoid the risk of epidemics (mosquito control, informing professionals, etc.), as well as to assess the risk incurred in the workplace and have this risk recognized by the healthcare system.

Study Overview

Detailed Description

Current environmental changes are influencing the epidemiology of zoonoses, which account for over 75% of emerging infections, with the Mediterranean region being a high-risk area. The proposed study focuses on occupational zoonoses, that is, those that can be contracted in the workplace, through direct contact with animals or exposure to their environment. Some of these zoonoses are recognized and compensable as occupational diseases (OD), while for others, the onus is on the employee to prove the origin of the contamination. The advantages of studying this population are threefold: i) to document occupational risk and improve management and prevention practices in this context, ii) to use this sentinel population - when many of these zoonoses are emerging - to anticipate risks for the less-exposed general population, iii) in the event of the discovery of a positive serology for an infectious agent considered non-circulating in the Occitanie region, to improve the management of symptomatic patients by raising awareness of differential diagnosis. For the purposes of this study, the zoonoses recognized as occupational diseases are: Mediterranean spotted fever, Lyme borreliosis, tularemia, Q fever, brucellosis, psittacosis, hepatitis E and leptospirosis. Although not recognized as occupational diseases, leishmaniasis, hantaviruses, dengue fever, zika, chikungunya, West Nile virus, Usutu, Toscana, Crimean-Congo hemorrhagic fever and tick-borne encephalitis are of particular interest to workers exposed to these diseases, and are also included in the study.

Few data are currently available on the actual rate of circulation of these pathogens in the population of occupationally exposed workers, and none in Occitanie. These outdoor workers also represent a sentinel population, due to their increased exposure, so obtaining precise seroprevalence data in these groups would enable the researchers to anticipate the emergence of these pathogens in the general population in the near future, and to diagnose them individually.

Study Type

Interventional

Enrollment (Estimated)

183

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Herault
      • Montpellier, Herault, France, 34295

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Age 18 or over
  • Consultant in an infectious diseases department
  • Have given written consent to participate in the study
  • Working for the City or Metropolis of Montpellier in the Zoo, Espaces Vert or Ecolothèque departments.

Exclusion Criteria:

  • - Pregnant and breast-feeding women
  • Persons benefiting from legal protection measures (guardianship, curatorship, safeguard of justice)
  • Participants who are not fluent in French and who do not have a support person capable of reading French.
  • Persons unable to express their consent.
  • Persons participating in another research project with an exclusion period still in progress.
  • Persons not affiliated to a social security scheme or not benefiting from such a scheme.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: City of Montpellier employees working at the Zoo, the Ecolothèque and the Green Spaces Department
City of Montpellier employees working at the Zoo, Ecolotheque or green spaces exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies) in the Occitanie region
Peripheral venous blood sampling for IgG serology against leishmaniasis, leptospirosis, brucellosis, Q fever, rickettsiosis, tularemia, psittacosis, Lyme disease, tick-borne encephalitis, hantavirus, hepatitis E virus, dengue virus, Zika virus, Chikungunya virus, West Nile virus, Usutu virus, Toscana virus, Crimean-Congo hemorrhagic fever virus.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). Leishmaniasis,
Time Frame: Baseline
prevalence (in percentage) of pathogen IgG positivity against : Leishmaniasis,
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Leptospirosis,
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Leptospirosis,
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Brucellosis
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Brucellosis
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Q fever
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Q fever
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Rickettsiosis
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Rickettsiosis,
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Tularemia
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Tularemia
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Psittacosis
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Psittacosis
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Lyme disease,
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Lyme disease,
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Tick-borne encephalitis
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Tick-borne encephalitis
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Hantavirus
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Hantavirus
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). Hepatitis E virus
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Hepatitis E virus
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Dengue virus
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Dengue virus
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). Zika virus
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Zika virus
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Chikungunya virus
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Chikungunya virus
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). West-Nile virus,
Time Frame: Baseline
prevalence of pathogen IgG positivity against : West-Nile virus,
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). usutu virus
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Usutu virus
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Toscana virus
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Toscana virus
Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Crimean-Congo haemorrhagic fever virus.
Time Frame: Baseline
prevalence of pathogen IgG positivity against : Crimean-Congo haemorrhagic fever virus.
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Determine the factors associated with seropositivity to these diseases. socio-demographic criteria
Time Frame: Baseline
OR of logistic regression of univariate model between serologies and socio-demographic criteria (age, sex, profession)
Baseline
Determine the factors associated with seropositivity to these diseases. travel to endemic areas
Time Frame: Baseline
OR of the logistic regression of the univariate model between serologies and travel to endemic areas for these diseases
Baseline
Determine the factors associated with seropositivity to these diseases. occupational exposure
Time Frame: Baseline
OR of the logistic regression of the univariate model between serologies and occupational exposure to these pathologies
Baseline
Determine the factors associated with seropositivity to these diseases. exposure in private activities
Time Frame: Baseline
OR of the logistic regression of the univariate model between serologies and exposure in private activities, including the importance of contact with transmission vectors,
Baseline
Determine the factors associated with seropositivity to these diseases. use of mosquito protection
Time Frame: Baseline
OR of the logistic regression of the univariate model between serologies and use of mosquito protection,
Baseline
Determine the factors associated with seropositivity to these diseases.history of transfusion or transplant
Time Frame: Baseline
OR of the logistic regression of the univariate model between serologies and history of transfusion or transplant
Baseline
Determine the factors associated with seropositivity to these diseases. comparison of the linear models
Time Frame: Baseline
AOR of the multivariate logistic regression with the best AIC among all the models tested
Baseline
Estimating vaccination coverage against leptospirosis in the workplace
Time Frame: Baseline
prevalence (in percentage) of professional vaccinations for leptospirosis
Baseline
Estimating vaccination coverage against rabies in the workplace
Time Frame: Baseline
prevalence (in percentage) of professional vaccinations for rabies
Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Dengue virus
Time Frame: Baseline
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Dengue virus
Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Dengue virus
Time Frame: Baseline
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Dengue virus
Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Zika virus
Time Frame: Baseline
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Zika virus
Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Zika virus
Time Frame: Baseline
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Zika virus
Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Chikungunya virus
Time Frame: Baseline
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Chikungunya virus
Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Chikungunya virus
Time Frame: Baseline
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Chikungunya virus
Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. West-Nile virus
Time Frame: Baseline
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for West-Nile virus
Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. West-Nile virus
Time Frame: Baseline
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for West-Nile virus
Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Usutu virus
Time Frame: Baseline
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Usutu virus
Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Usutu virus
Time Frame: Baseline
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Usutu virus
Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Toscana virus
Time Frame: Baseline
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Toscana virus
Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Toscana virus
Time Frame: Baseline
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Toscana virus
Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Crimean-Congo haemorrhagic fever virus
Time Frame: Baseline
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Crimean-Congo haemorrhagic fever virus
Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Crimean-Congo haemorrhagic fever virus
Time Frame: Baseline
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Crimean-Congo haemorrhagic fever virus
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: CHARLOTTE BOULLE, MD, University Hospital, Montpellier

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

March 3, 2025

Primary Completion (Estimated)

October 3, 2025

Study Completion (Estimated)

October 3, 2025

Study Registration Dates

First Submitted

February 27, 2025

First Submitted That Met QC Criteria

February 27, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 27, 2025

Last Verified

February 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • RECHMPL24_0384

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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