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.
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
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
183
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.
University Hospital Of Montpellier
Montpellier, herault, France
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). Leishmaniasis,
prevalence (in percentage) of pathogen IgG positivity against : Leishmaniasis,
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Leptospirosis,
prevalence of pathogen IgG positivity against : Leptospirosis,
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Brucellosis
prevalence of pathogen IgG positivity against : Brucellosis
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Q fever
prevalence of pathogen IgG positivity against : Q fever
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Rickettsiosis
prevalence of pathogen IgG positivity against : Rickettsiosis,
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Tularemia
prevalence of pathogen IgG positivity against : Tularemia
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Psittacosis
prevalence of pathogen IgG positivity against : Psittacosis
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Lyme disease,
prevalence of pathogen IgG positivity against : Lyme disease,
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Tick-borne encephalitis
prevalence of pathogen IgG positivity against : Tick-borne encephalitis
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Hantavirus
prevalence of pathogen IgG positivity against : Hantavirus
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). Hepatitis E virus
prevalence of pathogen IgG positivity against : Hepatitis E virus
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Dengue virus
prevalence of pathogen IgG positivity against : Dengue virus
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). Zika virus
prevalence of pathogen IgG positivity against : Zika virus
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Chikungunya virus
prevalence of pathogen IgG positivity against : Chikungunya virus
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). West-Nile virus,
prevalence of pathogen IgG positivity against : West-Nile virus,
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies). usutu virus
prevalence of pathogen IgG positivity against : Usutu virus
Time frame: Baseline
Estimate seroprevalences of the zoonoses in populations exposed to wildlife by zoo staff and to various vectors (ticks, mosquitoes, sandflies).Toscana virus
prevalence of pathogen IgG positivity against : Toscana virus
Time frame: 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.
prevalence of pathogen IgG positivity against : Crimean-Congo haemorrhagic fever virus.
Time frame: Baseline
Determine the factors associated with seropositivity to these diseases. socio-demographic criteria
OR of logistic regression of univariate model between serologies and socio-demographic criteria (age, sex, profession)
Time frame: Baseline
Determine the factors associated with seropositivity to these diseases. travel to endemic areas
OR of the logistic regression of the univariate model between serologies and travel to endemic areas for these diseases
Time frame: Baseline
Determine the factors associated with seropositivity to these diseases. occupational exposure
OR of the logistic regression of the univariate model between serologies and occupational exposure to these pathologies
Time frame: Baseline
Determine the factors associated with seropositivity to these diseases. exposure in private activities
OR of the logistic regression of the univariate model between serologies and exposure in private activities, including the importance of contact with transmission vectors,
Time frame: Baseline
Determine the factors associated with seropositivity to these diseases. use of mosquito protection
OR of the logistic regression of the univariate model between serologies and use of mosquito protection,
Time frame: Baseline
Determine the factors associated with seropositivity to these diseases.history of transfusion or transplant
OR of the logistic regression of the univariate model between serologies and history of transfusion or transplant
Time frame: Baseline
Determine the factors associated with seropositivity to these diseases. comparison of the linear models
AOR of the multivariate logistic regression with the best AIC among all the models tested
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Time frame: Baseline
Estimating vaccination coverage against leptospirosis in the workplace
prevalence (in percentage) of professional vaccinations for leptospirosis
Time frame: Baseline
Estimating vaccination coverage against rabies in the workplace
prevalence (in percentage) of professional vaccinations for rabies
Time frame: Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Dengue virus
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Dengue virus
Time frame: Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Dengue virus
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Dengue virus
Time frame: Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Zika virus
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Zika virus
Time frame: Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Zika virus
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Zika virus
Time frame: Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Chikungunya virus
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Chikungunya virus
Time frame: Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Chikungunya virus
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Chikungunya virus
Time frame: Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. West-Nile virus
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for West-Nile virus
Time frame: Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. West-Nile virus
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for West-Nile virus
Time frame: Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Usutu virus
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Usutu virus
Time frame: Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Usutu virus
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Usutu virus
Time frame: Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Toscana virus
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Toscana virus
Time frame: Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Toscana virus
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Toscana virus
Time frame: Baseline
Determine the sensitivity of DBS (dried blood spot) serum neutralization for viral serologies. Crimean-Congo haemorrhagic fever virus
Determine the sensitivity (in percentage) of DBS (dried blood spot) seroneutralization for Crimean-Congo haemorrhagic fever virus
Time frame: Baseline
Determine the specificity of DBS (dried blood spot) serum neutralization for viral serologies. Crimean-Congo haemorrhagic fever virus
Determine the specificity (in percentage) of DBS (dried blood spot) seroneutralization for Crimean-Congo haemorrhagic fever virus
Time frame: Baseline