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  1. Article ; Online: Monitoring the reproductive number of COVID-19 in France

    Christophe Bonaldi / Anne Fouillet / Cécile Sommen / Daniel Lévy-Bruhl / Juliette Paireau

    PLoS ONE, Vol 18, Iss 10, p e

    Comparative estimates from three datasets.

    2023  Volume 0293585

    Abstract: Background The effective reproduction number (Rt) quantifies the average number of secondary cases caused by one person with an infectious disease. Near-real-time monitoring of Rt during an outbreak is a major indicator used to monitor changes in disease ...

    Abstract Background The effective reproduction number (Rt) quantifies the average number of secondary cases caused by one person with an infectious disease. Near-real-time monitoring of Rt during an outbreak is a major indicator used to monitor changes in disease transmission and assess the effectiveness of interventions. The estimation of Rt usually requires the identification of infected cases in the population, which can prove challenging with the available data, especially when asymptomatic people or with mild symptoms are not usually screened. The purpose of this study was to perform sensitivity analysis of Rt estimates for COVID-19 surveillance in France based on three data sources with different sensitivities and specificities for identifying infected cases. Methods We applied a statistical method developed by Cori et al. to estimate Rt using (1) confirmed cases identified from positive virological tests in the population, (2) suspected cases recorded by a national network of emergency departments, and (3) COVID-19 hospital admissions recorded by a national administrative system to manage hospital organization. Results Rt estimates in France from May 27, 2020, to August 12, 2022, showed similar temporal trends regardless of the dataset. Estimates based on the daily number of confirmed cases provided an earlier signal than the two other sources, with an average lag of 3 and 6 days for estimates based on emergency department visits and hospital admissions, respectively. Conclusion The COVID-19 experience confirmed that monitoring temporal changes in Rt was a key indicator to help the public health authorities control the outbreak in real time. However, gaining access to data on all infected people in the population in order to estimate Rt is not straightforward in practice. As this analysis has shown, the opportunity to use more readily available data to estimate Rt trends, provided that it is highly correlated with the spread of infection, provides a practical solution for monitoring the COVID-19 pandemic and ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Monitoring the reproductive number of COVID-19 in France

    Christophe Bonaldi / Anne Fouillet / Cécile Sommen / Daniel Lévy-Bruhl / Juliette Paireau

    PLoS ONE, Vol 18, Iss

    Comparative estimates from three datasets

    2023  Volume 10

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Diet in 45- to 74-Year-Old Individuals with Diagnosed Diabetes: Comparison to Counterparts without Diabetes in a Nationally Representative Survey (Etude Nationale Nutrition Santé 2006-2007)

    Castetbon, Katia / Aurélie Malon / Benoit Salanave / Céline Druet / Christophe Bonaldi / Michel Vernay / Valérie Deschamps

    Academy of Nutrition and Dietetics Journal of the Academy of Nutrition and Dietetics. 2014 June, v. 114

    2014  

    Abstract: A healthy diet has been shown to prevent diabetes complications. However, the eating habits of individuals with diabetes who are aware of their glycemic condition have been poorly studied. This study's objective was to assess the dietary behavior overall ...

    Abstract A healthy diet has been shown to prevent diabetes complications. However, the eating habits of individuals with diabetes who are aware of their glycemic condition have been poorly studied. This study's objective was to assess the dietary behavior overall and according to dietary recommendations in adults diagnosed with diabetes compared with those of a general population of the same age (45 to 74 years) in a nationally representative survey carried out in France in 2006-2007 (Etude Nationale Nutrition Santé) (n=1,476 including 101 patients with diabetes). Trained dietitians assessed diet using three 24-hour recalls and diabetes was self-declared. After weighting and using multiple adjustments, mean food and nutrient intakes were compared according to diabetes status. Interactions with age and sex were sought. Adults with diabetes had lower intakes of sweetened foods (40 g/day vs 125 g/day), alcohol (1.45 g/day vs 1.64 g/day), energy (1,790 kcal/day vs 1,986 kcal/day), and simple sugar (63.1 g/day vs 89.8 g/day) and higher intakes of meat (126 g/day vs 109 g/day), complex carbohydrates (26.3% energy intake vs 23.6% energy intake), and vitamins B and E (628 μg/day vs 541 μg/day). In addition, 45- to 59-year-old individuals with diabetes ate more fruits and vegetables, fiber, beta carotene, folate, vitamin C, and potassium than adults of the same age who did not have diabetes. Overall, 45- to 74-year-old adults with diabetes had a higher-quality diet than individuals without diabetes. However, compared with recommendations, a healthy diet continues to represent a public health challenge in terms of preventing diabetes complications.
    Keywords adults ; alcohols ; ascorbic acid ; beta-carotene ; diabetic complications ; dietary recommendations ; dietitians ; eating habits ; energy intake ; folic acid ; fruits ; healthy diet ; meat ; patients ; potassium ; surveys ; vegetables ; France
    Language English
    Dates of publication 2014-06
    Size p. 918-925.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 2646718-5
    ISSN 2212-2672
    ISSN 2212-2672
    DOI 10.1016/j.jand.2013.08.002
    Database NAL-Catalogue (AGRICOLA)

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