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Daouda Coulibaly

Biographic Data

ID7026546
NAMEDaouda Coulibaly
GIVEN NAMESDaouda
FAMILY NAMECoulibaly
SIGNATURECOULIBALY D
AFFILIATIONSInstitut National d’Hygiène Publique
ORCID0000-0002-5432-9915
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Covid-19 vaccine acceptance and recommendation among health workers in nine countries

    Open Access•Julie Garon, Eva Bazant et al.•ARTICLE•BMJ Global Health•2026

    INTRODUCTION: Health workers (HWs) set an example for vaccine recipients, convey vaccine benefits and risks and interface with patients at increased risk for complications in pandemic settings. We explored HWs' acceptance of and recommendation for COVID-19 vaccine with and without previous receipt of seasonal influenza vaccine (SIV) in nine countries. METHODS: In 2023-2024, cross-sectional surveys among HW were conducted in Bangladesh, Cote d'Ivo…

  • Introduction and acceptability of the Surveillance Outbreak Response Management and Analysis System (Sormas) during the Covid-19 pandemic in Côte d’Ivoire

    Open Access•Tanja Barth‐Jaeggi, Tanja Barth-Jaeggi et al.•ARTICLE•BMC Public Health•2023

    SORMAS was very well accepted by users and decision makers in the two pilot regions of Côte d'Ivoire and its ability to improve epidemic preparedness and surveillance was acknowledged. If the hurdles of maintenance (tablets, server, and maintaining user skills) are handled sustainably, it can serve as a valid tool to identify, surveil and manage future outbreaks of various infectious diseases in Côte d'Ivoire

  • Effects of climatological parameters in modeling and forecasting seasonal influenza transmission in Abidjan, Cote d’Ivoire

    Open Access•Anderson Kouabenan N’gattia, Daouda Coulibaly et al.•ARTICLE•BMC Public Health•2016

    Including rainfall increases the performances of fitted and predicted models. The timing of influenza in Abidjan can be partially explained by rainfall influence, in a setting with little change in temperature throughout the year. These findings can help clinicians to anticipate influenza cases during the rainy season by implementing preventive measures

No prominent works on this page.

  • Effects of climatological parameters in modeling and forecasting seasonal influenza transmission in Abidjan, Cote d’Ivoire

    Open Access•Anderson Kouabenan N’gattia, Daouda Coulibaly et al.•ARTICLE•BMC Public Health•2016

    Including rainfall increases the performances of fitted and predicted models. The timing of influenza in Abidjan can be partially explained by rainfall influence, in a setting with little change in temperature throughout the year. These findings can help clinicians to anticipate influenza cases during the rainy season by implementing preventive measures

  • Introduction and acceptability of the Surveillance Outbreak Response Management and Analysis System (Sormas) during the Covid-19 pandemic in Côte d’Ivoire

    Open Access•Tanja Barth‐Jaeggi, Tanja Barth-Jaeggi et al.•ARTICLE•BMC Public Health•2023

    SORMAS was very well accepted by users and decision makers in the two pilot regions of Côte d'Ivoire and its ability to improve epidemic preparedness and surveillance was acknowledged. If the hurdles of maintenance (tablets, server, and maintaining user skills) are handled sustainably, it can serve as a valid tool to identify, surveil and manage future outbreaks of various infectious diseases in Côte d'Ivoire

  • Covid-19 vaccine acceptance and recommendation among health workers in nine countries

    Open Access•Julie Garon, Eva Bazant et al.•ARTICLE•BMJ Global Health•2026

    INTRODUCTION: Health workers (HWs) set an example for vaccine recipients, convey vaccine benefits and risks and interface with patients at increased risk for complications in pandemic settings. We explored HWs' acceptance of and recommendation for COVID-19 vaccine with and without previous receipt of seasonal influenza vaccine (SIV) in nine countries. METHODS: In 2023-2024, cross-sectional surveys among HW were conducted in Bangladesh, Cote d'Ivo…

Coronavirus disease 2019 (COVID-19 (2 works) · Cote d ivoire (2 works) · COVID-19 epidemiological studies (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Pandemic (2 works) · Public health (2 works) · 2019-20 coronavirus outbreak (1 work) · Akaike information criterion (1 work) · Autoregressive integrated moving average (1 work)

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