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Academic literature on the topic 'SARS-CoV-2 – prévention et contrôle'
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Journal articles on the topic "SARS-CoV-2 – prévention et contrôle"
MIHINDOU BOUSSOUGOU, Parfait. "INFLUENCE DES FACTEURS DE RISQUE DE CONTAMINATIONS AU COVID-19 SUR L'IMPLICATION ORGANISATIONNELLE DES BRANCARDIERS DES URGENCES : CAS DU CHUO ET DU CHUL-GABON." Kurukan Fuga 3, no. 11 (September 30, 2024): 145–56. http://dx.doi.org/10.62197/ofqr1726.
Full textAmir, Hira, and Ally Prebtani. "COVID-19: A Comprehensive Overview." Canadian Journal of General Internal Medicine 15, no. 3 (June 2, 2020): 7–22. http://dx.doi.org/10.22374/cjgim.v15i3.462.
Full textAnderson, Maureen, Ashok Chhetri, Edith Halyk, Amanda Lang, Ryan McDonald, Julie Kryzanowski, Jessica Minion, and Molly Trecker. "Une éclosion de COVID-19 associée à un centre d’entraînement physique en Saskatchewan : leçons pour la prévention." Relevé des maladies transmissibles au Canada 47, no. 11 (November 10, 2021): 538–44. http://dx.doi.org/10.14745/ccdr.v47i11a08f.
Full textGodec, Metka. "Analyse linguistique des commentaires Facebook à propos des mesures de confinement en France et en Slovénie." Journal for Foreign Languages 16, no. 1 (December 23, 2024): 131–53. https://doi.org/10.4312/vestnik.16.131-153.
Full textArinola, G. O., O. A. Fashina, O. C. Oluyomi Ishola, O. I. Akinbola, S. A. Akinbile, A. O. Eegunjobi, M. D. Bello, et al. "Demographic attributes of COVID-19 patients in an Infectious Disease Center of Nigeria." African Journal of Clinical and Experimental Microbiology 22, no. 1 (January 26, 2021): 21–27. http://dx.doi.org/10.4314/ajcem.v22i1.4.
Full textAhmed, S. G., and U. A. Ibrahim. "A review of the role of infections in the aetiology of haemolysis in patients with sickle cell diseases: pathogenesis, management, and prevention." African Journal of Clinical and Experimental Microbiology 23, no. 4 (October 23, 2022): 345–57. http://dx.doi.org/10.4314/ajcem.v23i4.3.
Full textCardi, Julie. "Action publique et responsabilité individuelle face aux risques épidémiques en France." Géographie et cultures 123 (2024): 35–53. https://doi.org/10.4000/12ywi.
Full textBencheikh, Siham, Fadia Rahal, and Salima Lefkir-Tafiani. "Promising biologic therapies in COVID-19." Batna Journal of Medical Sciences (BJMS) 7, S (August 26, 2020): S34—S37. http://dx.doi.org/10.48087/bjmstf.2020.s718.
Full text"Stratégies de prévention de la diffusion du virus SARS-CoV-2 en établissement d’accueil du jeune enfant (EAJE) et en milieu scolaire." Journal de Pédiatrie et de Puériculture 33, no. 6 (December 2020): 302–7. http://dx.doi.org/10.1016/j.jpp.2020.09.005.
Full textAdmin - JAIM. "Résumés des conférences JRANF 2021." Journal Africain d'Imagerie Médicale (J Afr Imag Méd). Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF). 13, no. 3 (November 17, 2021). http://dx.doi.org/10.55715/jaim.v13i3.240.
Full textDissertations / Theses on the topic "SARS-CoV-2 – prévention et contrôle"
Ganser, Iris. "Utilisation des modèles mathématiques face à la COVID-19 : analyse des effets des interventions en santé publique et de la dynamique immunitaire." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0351.
Full textThe COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to significant morbidity and mortality, straining healthcare systems worldwide. Fundamental approaches for controlling viral spread and mitigating its impact are vaccinations and non-pharmaceutical interventions (NPIs). Before vaccines became available, governments relied on NPIs with largely unknown epidemiological and societal impacts. Despite numerous studies, the effectiveness of NPIs on COVID-19 dynamics remained uncertain, especially over multiple pandemic waves. With a gradual roll-out of vaccines, population immunity increased, but this increase in was counteracted by the emergence of immune-escaping variants of concern (VoCs) and waning of both infection- and vaccine-induced immunity. The long-term dynamics of this decline are currently not well characterized, particularly in the context of multiple infections and infections with different VoCs. Given the only partially observed nature of epidemics and their non-linear dynamics, mathematical models are uniquely suited for their analysis. In my thesis, I applied mathematical models to various COVID-19 data, from aggregated population-level data of infections and hospitalizations to antibody (Ab) titers in individuals, with the goal of quantifying the effectiveness of NPIs and vaccines, identifying protective Ab thresholds, and characterizing immunity waning dynamics. Specifically, my first objective was to estimate the effectiveness of NPIs and vaccines in France and explore counterfactual NPI and vaccine implementation scenarios. We developed a population-based mechanistic model, which we fit to epidemiological data in France from March 2020 to October 2021. The model showed a significant reduction in viral transmission by lockdowns, school closures, and curfews, though their effectiveness decreased over time. Simulations demonstrated that vaccines had saved nearly 160k lives over the study period, but an earlier implementation or a faster rollout could have prevented even more deaths. To understand why NPI effectiveness estimates vary across studies, we evaluated two methodologies in my second objective: mechanistic models and a commonly used two-step regression approach. The latter first estimates the reproductive number (Rt) and then regresses it against NPI parameters. Using simulated data of varying complexity, mechanistic models consistently showed minimal bias (0-5%) and high confidence interval (CI) coverage, whereas the two-step regressions had biases up to 20% and much lower CI coverage. The bias stemmed from the depletion of susceptibles and challenges in estimating Rt, indicating that caution is warranted with this method despite its simplicity and speed. Accurate epidemiological models require up-to-date parameters. My third objective was therefore two-fold: 1) to relate SARS-CoV-2 specific Ab levels to the risk of infection and 2) to characterize antibody waning. Using Ab data from over 220k Canadian blood donors between April 2020 and December 2023, we found that both anti-S and anti-N Abs reduced infection risk, with anti-N showing a stronger effect at lower titers. We used biphasic decay models to characterize waning dynamics and estimated that that 51.3% (95% CI 40.6-66.1%) of individuals would drop below detectable anti-N Ab levels within three years after a single infection. The duration of Ab detection increased after subsequent infections. However, antibodies waned within months below thresholds needed to attain substantial protection, even after multiple infections and vaccinations, indicating that continuous vaccine booster doses might be needed to sustain protection. The analyses I conducted in my PhD research highlight the importance of timely interventions and continuous monitoring of immunity to better prepare for future outbreaks. Moreover, I illustrated that mathematical models are a powerful tool to inform public health decision making and strategies