Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Charlotte Maugard"'
1
The TRACTOR Project: TRACking and MoniToring Occupational Risks in Agriculture Using French Insurance Health Data (MSA)
Autor: Elise Gondard, Olivier François, Charlotte Maugard, Damien Ozenfant, Delphine Bosson-Rieutort, Pascal Petit, Vincent Bonneterre, Nadia Joubert
Publikováno v: Annals of Work Exposures and Health
Annals of Work Exposures and Health, Oxford University Press, 2021, ⟨10.1093/annweh/wxab083⟩
Objectives A vast data mining project called ‘TRACking and moniToring Occupational Risks in agriculture’ (TRACTOR) was initiated in 2017 to investigate work-related health events among the entire French agricultural workforce. The goal of this wo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3da9c34149b62b7c0682d5f4831fd99d
https://hal.univ-grenoble-alpes.fr/hal-03364393
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2
Medico-administrative data combined with agricultural practices data to retrospectively estimate pesticide use by agricultural workers
Autor: Anne Maitre, Charlotte Maugard, Pauline Achard, Delphine Bosson-Rieutort, Vincent Bonneterre, Christophe Cancé, Damien Ozenfant, Johan Spinosi
Publikováno v: Journal of Exposure Science and Environmental Epidemiology
Journal of Exposure Science and Environmental Epidemiology, Nature Publishing Group, 2019, ⟨10.1038/s41370-019-0166-x⟩
This work is part of a global project aiming to use medico-administrative big data from the whole French agricultural population (~3 millions), collected through their mandatory health insurance system (Mutualite Sociale Agricole), to highlight assoc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4e5b6e72ee08626ef837b2f57f2b89d
https://doi.org/10.1038/s41370-019-0166-x
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3
Big-data et surveillance en santé-travail : application aux travailleurs agricoles
Autor: Olivier François, Damien Ozenfant, Charlotte Maugard, Delphine Bosson-Rieutort, Vincent Bonneterre
Publikováno v: Archives des Maladies Professionnelles et de L'Environnement
Archives des Maladies Professionnelles et de L'Environnement, Elsevier Masson, 2018, 79 (3), pp.406
Archives des Maladies Professionnelles et de L'Environnement, Elsevier Masson, 2018, 79 (3), pp.406. ⟨10.1016/j.admp.2018.03.441⟩
La surveillance des maladies et des expositions associees est un enjeu majeur en Sante-Travail, surtout pour l’identification de nouvelles menaces pour la sante des travailleurs. En complement des analyses epidemiologiques classiques, le developpem
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cce0e1c94b0df7a713abaa315db9add2
https://hal.archives-ouvertes.fr/hal-01996534
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4
1154 Big data and occupational health surveillance: use of french medico-administrative databases for hypothesis generation regarding occupational risks in agriculture
Autor: Charlotte Maugard, Olivier François, Vincent Bonneterre, Delphine Bosson-Rieutort
Publikováno v: 32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018
32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018, 2018, Dublin, Ireland. pp.A121.2-A122
Surveillance of diseases and associated exposures is a major issue in occupational health, especially identifying and preventing new threats for worker’s health. New complementary methods relying on exploitation of already existing data, such as th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8eb445818035aa0f752fc00c0e5ee74
https://doi.org/10.1136/oemed-2018-icohabstracts.344
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5
Big-data and occupational health surveillance: Screening of occupational determinants of health among French agricultural workers, through data mining of medico-administrative databases
Autor: D. Bosson Rieutort, D. Ozenfant, Vincent Bonneterre, Olivier François, Charlotte Maugard
Publikováno v: Epidemiology and Public Health / Revue d'Epidémiologie et de Santé Publique
Epidemiology and Public Health / Revue d'Epidémiologie et de Santé Publique, Elsevier Masson, 2018, 66, pp.S262-S263
Introduction Surveillance of diseases and associated exposures is a major issue in occupational health especially for identifying new work-related diseases. In addition to classical epidemiology (hypothesis-driven studies), complementary methods rely
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb25358c09f1b5181ea218745ebf7998
https://hal.archives-ouvertes.fr/hal-01996538
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6
0431 How can we avoid re-identification risk in big-data analysis? proposition of a new strategy of geographical subdivisions using gis tools
Autor: Delphine Bosson-Rieutort, Christophe Cancé, Vincent Bonneterre, Charlotte Maugard, Pauline Achard, Olivier François
Publikováno v: Eliminating Occupational Disease: Translating Research into Action, EPICOH 2017, EPICOH 2017, 28–31 August 2017, Edinburgh, UK
Eliminating Occupational Disease: Translating Research into Action, EPICOH 2017, EPICOH 2017, 28–31 August 2017, Edinburgh, UK, 2017, Edinburgh, United Kingdom. pp.A136.2-A137
In order to look for relevant signals for detection of emerging occupational diseases among agricultural workers, we developed a data-mining approach applied on health-insurance data (see C. Maugard communication). Applied on the databases of the Fre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57dfa687a6ca5cbec318b31c638733eb
https://hal.archives-ouvertes.fr/hal-01996501
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