Search results for "Santé publique et épidémiologie"

showing 10 items of 258 documents

Cancer cure for 32 cancer types: results from the EUROCARE-5 study

2020

Abstract Background Few studies have estimated the probability of being cured for cancer patients. This study aims to estimate population-based indicators of cancer cure in Europe by type, sex, age and period. Methods 7.2 million cancer patients (42 population-based cancer registries in 17 European countries) diagnosed at ages 15–74 years in 1990–2007 with follow-up to 2008 were selected from the EUROCARE-5 dataset. Mixture-cure models were used to estimate: (i) life expectancy of fatal cases (LEF); (ii) cure fraction (CF) as proportion of patients with same death rates as the general population; (iii) time to cure (TTC) as time to reach 5-year conditional relative survival (CRS) >95…

OncologyAdultMalemedicine.medical_specialtySkin NeoplasmsAdolescentEpidemiologyPopulation03 medical and health sciencesYoung Adult0302 clinical medicineBreast cancerLife ExpectancyProstateInternal medicineNeoplasmsmedicineHumans030212 general & internal medicineRegistrieseducationThyroid cancerMelanomaComputingMilieux_MISCELLANEOUSAgededucation.field_of_study[SHS.SOCIO]Humanities and Social Sciences/SociologyRelative survivalbusiness.industryMelanomaMortality rateCancerGeneral MedicineMiddle Agedmedicine.disease3. Good healthEuropeSurvival Ratemedicine.anatomical_structure030220 oncology & carcinogenesisQuality of LifeFemale[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusiness
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The influence of socio-economic and surveillance characteristics on breast cancer survival: a French population-based study.

2008

International audience; Survival data on female invasive breast cancer with 9-year follow-up from five French cancer registries were analysed by logistic regression for prognostic factors of cancer stage. The Kaplan-Meier method and log-rank test were used to estimate and compare the overall survival probability at 5 and 7 years, and at the endpoint. The Cox regression model was used for multivariate analysis. County of residence, age group, occupational status, mammographic surveillance, gynaecological prevention consultations and the diagnosis mammography, whether within a screening framework or not, were independent prognostic factors of survival. Moreover, for the same age group, and on…

OncologyCancer ResearchEpidemiologyMESH : AgedMESH : Breast NeoplasmsLogistic regressionsurvival analysis0302 clinical medicineMESH: Aged 80 and overMESH : Population SurveillanceMESH : Socioeconomic FactorsMedicineMESH : Female030212 general & internal medicineAged 80 and overMESH: AgedMESH: Middle Agedmedicine.diagnostic_testCarcinoma Ductal Breast[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieMESH: European Continental Ancestry GroupMESH: Follow-Up StudiesMiddle AgedMESH : AdultMESH : Survival Rate3. Good healthSurvival RateOncology030220 oncology & carcinogenesisPopulation SurveillanceFemalemass screeningAdultmedicine.medical_specialtyMESH: Socioeconomic FactorsMESH: Survival RatemammographyMESH: MammographyBreast NeoplasmsWhite PeopleMESH: Population SurveillanceMESH : European Continental Ancestry Group03 medical and health sciencesBreast cancerbreast neoplasmInternal medicineMammographyHumansMESH : MammographyMESH : Middle AgedMESH: Mass ScreeningMESH : Aged 80 and overSurvival rateMass screeningSurvival analysisAgedGynecologyMESH : Mass ScreeningMESH: Humansbusiness.industryProportional hazards modelMESH : HumansMESH : Carcinoma Ductal BreastCancerMESH: AdultMESH : Follow-Up Studiesmedicine.diseaseMESH: Carcinoma Ductal BreastSocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologiesocio-economic factors[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH: FemaleMESH: Breast NeoplasmsFollow-Up Studies
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OC-0284: First results of the French cohort ANABASE : treatment and outcome in non-metastatic anal cancer

2018

IF 4.942 (2017); International audience

Oncologymedicine.medical_specialtybusiness.industry[SDV.CAN]Life Sciences [q-bio]/Cancer02 engineering and technologyHematology021001 nanoscience & nanotechnologymedicine.diseaseOutcome (game theory)3. Good health[SDV.CAN] Life Sciences [q-bio]/CancerOncology[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieInternal medicineCohort0202 electrical engineering electronic engineering information engineeringmedicineNon metastaticAnal cancer020201 artificial intelligence & image processingRadiology Nuclear Medicine and imaging[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie0210 nano-technologybusiness
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Training During the COVID-19 Lockdown: Knowledge, Beliefs, and Practices of 12,526 Athletes from 142 Countries and Six Continents

2021

Abstract Objective Our objective was to explore the training-related knowledge, beliefs, and practices of athletes and the influence of lockdowns in response to the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods Athletes (n = 12,526, comprising 13% world class, 21% international, 36% national, 24% state, and 6% recreational) completed an online survey that was available from 17 May to 5 July 2020 and explored their training behaviors (training knowledge, beliefs/attitudes, and practices), including specific questions on their training intensity, frequency, and session duration before and during lockdown (March–Jun…

PANDEMIASmedicine.medical_specialtySports medicine[SHS.EDU]Humanities and Social Sciences/EducationeducationPhysical Therapy Sports Therapy and RehabilitationCoachingInterval trainingIntensity Frequency Session durationAthletic training[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]medicineHumansPlyometricsharjoitteluOrthopedics and Sports MedicineOriginal Research ArticlevalmennusPandemicsGeneral fitness trainingbiologySARS-CoV-2business.industryAthleteskuntoliikuntaCOVID-19biology.organism_classificationMental healthC600AthletespoikkeusolotCommunicable Disease Control0913 Mechanical Engineering 1106 Human Movement and Sports Sciences 1302 Curriculum and PedagogyPhysical therapy[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieAthletes/psychology; COVID-19; Communicable Disease Control; Humans; Pandemics; SARS-CoV-2businessSport Sciencesurheilijathuippu-urheilijat
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Wikipedia network analysis of cancer interactions and world influence

2019

AbstractWe apply the Google matrix algorithms for analysis of interactions and influence of 37 cancer types, 203 cancer drugs and 195 world countries using the network of 5 416 537 English Wikipedia articles with all their directed hyperlinks. The PageRank algorithm provides the importance order of cancers which has 60% and 70% overlaps with the top 10 cancers extracted from World Health Organization GLOBOCAN 2018 and Global Burden of Diseases Study 2017, respectively. The recently developed reduced Google matrix algorithm gives networks of interactions between cancers, drugs and countries taking into account all direct and indirect links between these selected 435 entities. These reduced n…

PageRankDatabases FactualComputer scienceSocial Sciences01 natural sciencesLung and Intrathoracic TumorsHematologic Cancers and Related Disorders0302 clinical medicineSociologyNeoplasmsBreast TumorsMedicine and Health SciencesComputingMilieux_MISCELLANEOUSNon-Hodgkin lymphoma0303 health sciencesMultidisciplinaryGoogle matrixApplied MathematicsSimulation and ModelingProstate Cancer[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]QRProstate DiseasesOnline EncyclopediasHematology[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciencesOvarian CancerOncology030220 oncology & carcinogenesisPhysical SciencesMedicineLymphomasCancersAlgorithmsNetwork analysisResearch ArticleScienceUrologyMEDLINEComplex networksAntineoplastic Agents[SDV.CAN]Life Sciences [q-bio]/CancerResearch and Analysis Methods[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]World Wide Web03 medical and health sciences0103 physical sciencesBreast CancerLeukemiasmedicineHumansMass Media010306 general physicsPagerank algorithm030304 developmental biologyGoogle matrixCancerCancers and NeoplasmsHyperlinkmedicine.diseaseData scienceCommunicationsGenitourinary Tract TumorsCancer drugsRankingEncyclopedias[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Gynecological TumorsMathematicsWikipedia
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The association between respiratory tract infection incidence and localised meningitis epidemics: an analysis of high-resolution surveillance data fr…

2017

AbstractMeningococcal meningitis epidemics in the African meningitis belt consist of localised meningitis epidemics (LME) that reach attack proportions of 1% within a few weeks. A meningococcal serogroup A conjugate vaccine was introduced in meningitis belt countries from 2010 on, but LME due to other serogroups continue to occur. The mechanisms underlying LME are poorly understood, but an association with respiratory pathogens has been hypothesised. We analysed national routine surveillance data in high spatial resolution (health centre level) from 13 districts in Burkina Faso, 2004–2014. We defined LME as a weekly incidence rate of suspected meningitis ≥75 per 100,000 during ≥2 weeks; and…

Pediatricsmedicine.medical_specialty030231 tropical medicinelcsh:MedicineMeningococcal VaccinesMeningitis MeningococcalLogistic regressionArticleDisease Outbreaks03 medical and health sciences0302 clinical medicineRisk Factors[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesBurkina FasomedicineHumans030212 general & internal medicinelcsh:ScienceIntensive care medicineRespiratory Tract InfectionsMultidisciplinaryRespiratory tract infectionsbusiness.industryIncidenceIncidence (epidemiology)lcsh:ROutbreak[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieOdds ratiomedicine.disease3. Good health[ SDV.MHEP.MI ] Life Sciences [q-bio]/Human health and pathology/Infectious diseasesmedicine.anatomical_structurePopulation Surveillancelcsh:Q[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieSeasonsAfrican meningitis beltbusinessMeningitishuman activitiesRespiratory tract
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Distribution of maternity units and spatial access to specialised care for women delivering before 32 weeks of gestation in Europe

2010

Contains fulltext : 88841.pdf (Publisher’s version ) (Closed access) Survival and quality of life are improved for very preterm babies when delivery occurs in a maternity unit with on-site neonatal intensive care (level III unit). We investigated the impact of distance on the probability of delivering in such a unit for births before 32 weeks of gestation from 9 European regions with diverse perinatal health systems (the MOSAIC cohort). We analysed distances between women's homes, and the nearest level III in population quartiles, adjusting for maternal and pregnancy characteristics. Living farther away from a level III reduced access to specialised care everywhere; in some regions women re…

Pediatricsmedicine.medical_specialtyHealth (social science)Perinatal careGeography Planning and DevelopmentPopulation[ SHS.GEO ] Humanities and Social Sciences/Geography03 medical and health sciences0302 clinical medicineQuality of life (healthcare)Hospital planningPregnancy030225 pediatricsIntensive caremedicineHumansMaternal Health Services030212 general & internal medicineeducationComputingMilieux_MISCELLANEOUSPregnancyeducation.field_of_study[SHS.SOCIO]Humanities and Social Sciences/SociologyDistancebusiness.industryHealth services accessibilityPublic Health Environmental and Occupational HealthInfant Newborn[ SHS.SOCIO ] Humanities and Social Sciences/Sociology[SHS.GEO]Humanities and Social Sciences/Geographymedicine.disease3. Good healthEuropeLogistic ModelsQuartileEvaluation of complex medical interventions [NCEBP 2]Premature birthdistance; europe; health services accessibility; hospital planning; perinatal careCohortMultivariate AnalysisGestationPremature BirthFemale[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieHuman medicinebusinessDemography
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Santé et développement durable : proposition d'une grille de lecture de la contribution des politiques de santé au développement durable

2002

Development economics and health economics evolved according to dynamics which their are appropriate.The issues concerning the role of health in developing countries, if they had formerly no echo which theytake on today, nevertheless concerned a rather big number of specialists. The approaches in terms of humancapital, endogenous growth... tend today to recognise health and education as pillars of human development.But the objective of development, qualified since the Bruntland's report, of "sustainable", does it give way tothe development of health systems? The aim of this paper is double: on one hand, it consists in tempting aclarification of the concept of sustainable development general…

Politique de santé[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieDéveloppement durableSustainable development[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologiePays en développementHealth policyDeveloping countries
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MAVIE-Lab Sports: a mHealth for Injury Prevention and Risk Management in Sport

2018

International audience; Smart-phones technology and the development of mHealth (Mobile Health) applications offer an opportunity to design intervention tools to influence health behavior changes. The MAVIE-Lab is a mHealth application including a DSS (Desicion Support System) to assist in the personalized evaluation of HLIs (Home, Leisure and Sport Injuries) risk and to promote the adoption of prevention measures. MAVIE-Lab Sports will be the first module of the mobile application. The purpose of this PhD project is to improve a particular module of MAVIE-Lab, devoted to sports (MAVIE-Lab Sports), in different aspects: statistical modeling, design and ergonomics. It also aims to evaluate sy…

Process managementComputer scienceInjury030501 epidemiologyMathematics of computing[STAT.CO] Statistics [stat]/Computation [stat.CO][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]Bayesian networks BN03 medical and health sciences[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][STAT.AP] Statistics [stat]/Applications [stat.AP]Personal digital assistantsInjury preventioneHealthInjury Epidemiology[STAT.CO]Statistics [stat]/Computation [stat.CO]mHealthRisk managementComputingMilieux_MISCELLANEOUS[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML][ STAT.CO ] Statistics [stat]/Computation [stat.CO][STAT.AP]Statistics [stat]/Applications [stat.AP]030505 public healthHome and leisure injuries[STAT.ME] Statistics [stat]/Methodology [stat.ME]business.industryHLIs[ STAT.AP ] Statistics [stat]/Applications [stat.AP]Human factors and ergonomicsUsability[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]Human-centered computing[STAT.ML] Statistics [stat]/Machine Learning [stat.ML]Intervention (law)Bayesian networks[ STAT.ME ] Statistics [stat]/Methodology [stat.ME][SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieHuman-centered computing[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieeHealth0305 other medical sciencebusinessAppPrediction[STAT.ME]Statistics [stat]/Methodology [stat.ME]
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Singuliers généralistes. Sociologie de la médecine générale.

2010

International audience; Chacun de nous connaît un médecin généraliste, en qui il peut trouver un interlocuteur privilégié pour ses soucis de santé. En tant que groupe professionnel pourtant, les généralistes ont longtemps été peu considérés dans notre système de soins et restent méconnus : que sait-on des façons d'être généraliste ? de l'évolution de la profession ? Souvent passionnés par leur métier vécu comme un engagement personnel, les médecins généralistes sont-ils satisfaits de leurs conditions de travail et de leur place dans la société? À partir d'enquêtes récentes, des sociologues expliquent ce que sont et font les généralistes dans leur cabinet, ils analysent les "flous du métier"…

Profession médicale[SHS.SOCIO] Humanities and Social Sciences/SociologyReprésentation socialeSociologie santéRémunérationFormationLieu travailPrescription[SHS]Humanities and Social SciencesRelation médecin maladeDémographiePratique médicaleMédecine généraleRôle socialSyndicalismeMédecin généralisteCabinet médicalEtude comparéeMédecinDiagnosticTravail pluridisciplinaireMétierMotivationPays BasConsultationEcoute[SHS.SOCIO]Humanities and Social Sciences/SociologyIdentité professionnelleComportementEthnologieAménagement espaceRôle du professionnel[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieFéminisationEtude prospective[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie[SHS] Humanities and Social SciencesRéformeFrance
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