Low to medium-low risk perception for dengue, chikungunya and Zika outbreaks by infectious diseases physicians in France, Western Europe View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-07-31

AUTHORS

Marion Le Tyrant, Daniel Bley, Catherine Leport, Serge Alfandari, Jean-François Guégan

ABSTRACT

BackgroundMany tropical countries are currently experiencing dengue (DEN), chikungunya (CHIK) and also more recently Zika (ZIKA) epidemics (particularly in Latin America). Although the risk of transmission and spread of these infections in temperate regions remains a controversial issue, vector-borne diseases have been widely reported in the media and have been the focus of preventive strategies by national and international policy-makers and public health authorities. In this context, we wanted to determine the extent of risk perception in infectious diseases (ID) physicians of the current and future risk of arboviral disease introduction, autochthonous case development and epidemic scenarios in France, Western Europe.MethodsTo this aim, we developed an original standardized questionnaire survey which was disseminated by the French Infectious Diseases Society to ID physician members.ResultsWe found that ID physicians perceived the risk of introduction and outbreak development of DEN, CHIK and ZIKA in France to be low to medium-low. Generalized Linear Model(s) identified medical school training, the extent of professional experience, and awareness of the French national plan regarding arboviral infections as significant predictors for lower risk perception among respondents.ConclusionDespite the fact that arboviral diseases are increasingly being imported into France, sometimes resulting in sporadic autochtonous transmission, French ID physicians do not perceive the risk as high. Better communication and education targeting health professionals and citizens will be needed to enhance the effectiveness of the French national plan to prepare against arboviral diseases. More... »

PAGES

1014

References to SciGraph publications

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  • Identifiers

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    http://scigraph.springernature.com/pub.10.1186/s12889-019-7317-9

    DOI

    http://dx.doi.org/10.1186/s12889-019-7317-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1120018935

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/31366341


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