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Marion Debin

Biographic Data

ID7770314
NAMEMarion Debin
GIVEN NAMESMarion
FAMILY NAMEDebin
SIGNATUREDEBIN M
AFFILIATIONSInserm
ORCID0000-0002-5146-7642
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Assessing dengue knowledge, attitudes and preventive practices in France and Italy

    Open Access•Lucille Calmon, Alessandro De Gaetano et al.•ARTICLE•PLOS Global Public Health•2026

    The dengue virus, transmitted by Aedes mosquitoes, causes an estimated 100–390 million infections annually worldwide. With no treatment available, mitigation and prevention involve reducing mosquito breeding and limiting feeding opportunities. Due to changing climate conditions, Aedes mosquitoes are increasingly established in Europe causing more local cases. Thus, understanding population knowledge, attitudes, and practices in areas where dengue…

  • Are People Optimistically Biased about the Risk of Covid-19 Infection? Lessons from the First Wave of the Pandemic in Europe

    Open Access•Kathleen Mccoll, Marion Debin et al.•ARTICLE•International Journal of…•2021

    Unrealistic optimism, the underestimation of one's risk of experiencing harm, has been investigated extensively to understand better and predict behavioural responses to health threats. Prior to the COVID-19 pandemic, a relative dearth of research existed in this domain regarding epidemics, which is surprising considering that this optimistic bias has been associated with a lack of engagement in protective behaviours critical in fighting twenty-f…

  • Factors associated with influenza-like-illness

    Open Access•Caroline Guerrisi, Marie Ecollan et al.•ARTICLE•BMC Public Health•2019

    This ILI risk factors analysis confirms and further completes the list of factors observed through traditional surveillance systems. It indicates that crowdsourced cohorts are effective to study ILI determinants at the population level. These findings could be used to adapt influenza prevention messages at the population level to reduce the spread of the disease

  • The representativeness of a European multi-center network for influenza-like-illness participatory surveillance

    Open Access•Pietro Cantarelli, Marion Debin et al.•ARTICLE•BMC Public Health•2014

    Existing demographic and national datasets allowed the quantification of the participation biases of a large cohort for influenza-like-illness surveillance in the general population. Significant differences were found between Influenzanet participants and the general population. The quantified biases need to be taken into account in the analysis of Influenzanet epidemiological studies and provide indications on populations groups that should be t…

No prominent works on this page.

  • The representativeness of a European multi-center network for influenza-like-illness participatory surveillance

    Open Access•Pietro Cantarelli, Marion Debin et al.•ARTICLE•BMC Public Health•2014

    Existing demographic and national datasets allowed the quantification of the participation biases of a large cohort for influenza-like-illness surveillance in the general population. Significant differences were found between Influenzanet participants and the general population. The quantified biases need to be taken into account in the analysis of Influenzanet epidemiological studies and provide indications on populations groups that should be t…

  • Factors associated with influenza-like-illness

    Open Access•Caroline Guerrisi, Marie Ecollan et al.•ARTICLE•BMC Public Health•2019

    This ILI risk factors analysis confirms and further completes the list of factors observed through traditional surveillance systems. It indicates that crowdsourced cohorts are effective to study ILI determinants at the population level. These findings could be used to adapt influenza prevention messages at the population level to reduce the spread of the disease

  • Are People Optimistically Biased about the Risk of Covid-19 Infection? Lessons from the First Wave of the Pandemic in Europe

    Open Access•Kathleen Mccoll, Marion Debin et al.•ARTICLE•International Journal of…•2021

    Unrealistic optimism, the underestimation of one's risk of experiencing harm, has been investigated extensively to understand better and predict behavioural responses to health threats. Prior to the COVID-19 pandemic, a relative dearth of research existed in this domain regarding epidemics, which is surprising considering that this optimistic bias has been associated with a lack of engagement in protective behaviours critical in fighting twenty-f…

  • Assessing dengue knowledge, attitudes and preventive practices in France and Italy

    Open Access•Lucille Calmon, Alessandro De Gaetano et al.•ARTICLE•PLOS Global Public Health•2026

    The dengue virus, transmitted by Aedes mosquitoes, causes an estimated 100–390 million infections annually worldwide. With no treatment available, mitigation and prevention involve reducing mosquito breeding and limiting feeding opportunities. Due to changing climate conditions, Aedes mosquitoes are increasingly established in Europe causing more local cases. Thus, understanding population knowledge, attitudes, and practices in areas where dengue…

Medicine (3 works) · Biostatistics (2 works) · Demography (2 works) · Demography (2 works) · Environmental health (2 works) · Epidemiology (2 works) · Influenza Virus Research Studies (2 works) · Population (2 works) · Public health (2 works) · Climate Change and Health Impacts (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae