Titre : Méthodes épidémiologiques

Méthodes épidémiologiques : Questions médicales fréquentes

Questions fréquentes et termes MeSH associés

Diagnostic 5

#1

Qu'est-ce qu'une étude de cohorte ?

Une étude de cohorte suit un groupe sur le temps pour observer l'apparition de maladies.
Étude de cohorte Épidémiologie
#2

Comment définit-on une étude cas-témoins ?

Une étude cas-témoins compare des individus malades à des témoins sains pour identifier des facteurs de risque.
Étude cas-témoins Facteurs de risque
#3

Quelle est l'importance des enquêtes transversales ?

Les enquêtes transversales évaluent la prévalence d'une maladie à un moment donné dans une population.
Enquête transversale Prévalence
#4

Qu'est-ce qu'une méta-analyse ?

Une méta-analyse combine les résultats de plusieurs études pour obtenir une estimation globale.
Méta-analyse Synthèse des données
#5

Quel rôle joue la randomisation dans les essais cliniques ?

La randomisation réduit les biais en assignant aléatoirement les participants aux groupes d'étude.
Essai clinique Randomisation

Symptômes 5

#1

Quels symptômes sont souvent étudiés en épidémiologie ?

Les symptômes varient selon les maladies, mais incluent douleur, fatigue, et fièvre.
Symptômes Épidémiologie
#2

Comment l'épidémiologie évalue-t-elle les symptômes ?

Elle utilise des questionnaires et des entretiens pour recueillir des données sur les symptômes.
Évaluation des symptômes Questionnaires
#3

Quelle est la relation entre symptômes et facteurs de risque ?

Les symptômes peuvent indiquer des facteurs de risque sous-jacents, influençant la santé.
Facteurs de risque Symptômes
#4

Les symptômes peuvent-ils varier selon les populations ?

Oui, les symptômes peuvent différer en fonction de la culture, de l'âge et du sexe.
Variabilité des symptômes Population
#5

Comment les symptômes sont-ils mesurés en épidémiologie ?

Ils sont mesurés par des échelles standardisées et des outils d'évaluation validés.
Mesure des symptômes Échelles d'évaluation

Prévention 5

#1

Quelles sont les stratégies de prévention en épidémiologie ?

Les stratégies incluent la vaccination, l'éducation et le dépistage précoce des maladies.
Prévention Vaccination
#2

Comment l'épidémiologie aide-t-elle à prévenir les maladies ?

Elle identifie les facteurs de risque et les populations vulnérables pour cibler les interventions.
Facteurs de risque Interventions préventives
#3

Quel est l'impact des campagnes de sensibilisation ?

Les campagnes augmentent la connaissance des risques et encouragent des comportements sains.
Campagnes de sensibilisation Comportements de santé
#4

Comment évaluer l'efficacité des programmes de prévention ?

L'efficacité est évaluée par des études de suivi et des analyses de résultats de santé.
Évaluation des programmes Suivi des résultats
#5

Quel rôle joue la surveillance épidémiologique ?

La surveillance permet de détecter les épidémies et d'évaluer l'impact des interventions.
Surveillance épidémiologique Détection des épidémies

Traitements 5

#1

Comment l'épidémiologie influence-t-elle les traitements ?

Elle identifie l'efficacité des traitements en analysant les résultats des études cliniques.
Traitements Efficacité
#2

Qu'est-ce qu'une étude d'intervention ?

Une étude d'intervention évalue l'impact d'un traitement ou d'une stratégie de prévention.
Étude d'intervention Prévention
#3

Comment les traitements sont-ils comparés en épidémiologie ?

Les traitements sont comparés par des essais contrôlés randomisés pour évaluer leur efficacité.
Essai contrôlé Comparaison des traitements
#4

Quel est le rôle des recommandations cliniques ?

Les recommandations cliniques guident les praticiens sur les traitements basés sur des preuves.
Recommandations cliniques Pratiques basées sur des preuves
#5

Comment l'épidémiologie évalue-t-elle les effets secondaires ?

Elle surveille les effets secondaires par des études de pharmacovigilance et des rapports de cas.
Effets secondaires Pharmacovigilance

Complications 5

#1

Quelles complications peuvent survenir en épidémiologie ?

Les complications incluent des maladies secondaires, des comorbidités et des effets à long terme.
Complications Comorbidités
#2

Comment l'épidémiologie étudie-t-elle les complications ?

Elle utilise des études de suivi pour observer l'apparition de complications après un traitement.
Études de suivi Complications
#3

Quel est l'impact des complications sur la santé publique ?

Les complications augmentent la morbidité et les coûts des soins de santé, affectant la population.
Santé publique Coûts des soins
#4

Comment prévenir les complications ?

La prévention passe par un suivi régulier, une éducation et des interventions précoces.
Prévention des complications Interventions précoces
#5

Quelles sont les complications liées aux traitements ?

Les traitements peuvent entraîner des effets indésirables, des rechutes ou des résistances.
Effets indésirables Résistances

Facteurs de risque 5

#1

Quels sont les principaux facteurs de risque en épidémiologie ?

Les facteurs incluent le mode de vie, l'environnement, la génétique et les comportements de santé.
Facteurs de risque Mode de vie
#2

Comment identifier les facteurs de risque ?

Les facteurs de risque sont identifiés par des études épidémiologiques et des analyses statistiques.
Identification des facteurs Analyses statistiques
#3

Quel est le rôle des facteurs de risque dans la prévention ?

Comprendre les facteurs de risque aide à cibler les interventions préventives pour réduire les maladies.
Prévention Interventions ciblées
#4

Comment les facteurs de risque varient-ils selon les populations ?

Les facteurs de risque peuvent différer selon l'âge, le sexe, la culture et le statut socio-économique.
Variabilité des facteurs Statut socio-économique
#5

Quel est l'impact des facteurs de risque sur la santé publique ?

Les facteurs de risque influencent l'incidence des maladies et les coûts associés aux soins de santé.
Santé publique Incidence des maladies
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Chan School of Public Health, Boston, MA 02115, USA." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "Complexity in Epidemiology and Public Health. Addressing Complex Health Problems Through a Mix of Epidemiologic Methods and Data.", "datePublished": "2023-05-30", "url": "https://questionsmedicales.fr/article/37042967", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1097/EDE.0000000000001612" } }, { "@type": "ScholarlyArticle", "name": "Estimating alcohol-attributable injury deaths: A comparison of epidemiological methods.", "datePublished": "2023-07-19", "url": "https://questionsmedicales.fr/article/37466014", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1111/add.16299" } }, { "@type": "ScholarlyArticle", "name": "Response to Tsuda et al. \"demonstrating the undermining of science and health policy after the Fukushima nuclear accident by applying the toolkit for detecting misused epidemiological methods\".", "datePublished": "2023-02-17", "url": "https://questionsmedicales.fr/article/36803161", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1186/s12940-023-00966-z" } }, { "@type": "ScholarlyArticle", "name": "Using the Generalized Synthetic Control Method to Estimate the Impact of Extreme Weather Events on Population Health.", "datePublished": "2022-09-27", "url": "https://questionsmedicales.fr/article/36166207", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1097/EDE.0000000000001539" } }, { "@type": "ScholarlyArticle", "name": "Principles and methods of global legal epidemiology.", "datePublished": "2022-06-15", "url": "https://questionsmedicales.fr/article/35705361", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1136/jech-2021-217202" } } ], "breadcrumb": { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "questionsmedicales.fr", "item": "https://questionsmedicales.fr" }, { "@type": "ListItem", "position": 2, "name": "Environnement et santé publique", "item": "https://questionsmedicales.fr/mesh/D004778" }, { "@type": "ListItem", "position": 3, "name": "Santé publique", "item": "https://questionsmedicales.fr/mesh/D011634" }, { "@type": "ListItem", "position": 4, "name": "Méthodes épidémiologiques", "item": "https://questionsmedicales.fr/mesh/D004812" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Méthodes épidémiologiques - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Méthodes épidémiologiques", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2025-04-27", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Méthodes épidémiologiques", "description": "Qu'est-ce qu'une étude de cohorte ?\nComment définit-on une étude cas-témoins ?\nQuelle est l'importance des enquêtes transversales ?\nQu'est-ce qu'une méta-analyse ?\nQuel rôle joue la randomisation dans les essais cliniques ?", "url": "https://questionsmedicales.fr/mesh/D004812#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Méthodes épidémiologiques", "description": "Quels symptômes sont souvent étudiés en épidémiologie ?\nComment l'épidémiologie évalue-t-elle les symptômes ?\nQuelle est la relation entre symptômes et facteurs de risque ?\nLes symptômes peuvent-ils varier selon les populations ?\nComment les symptômes sont-ils mesurés en épidémiologie ?", "url": "https://questionsmedicales.fr/mesh/D004812#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Méthodes épidémiologiques", "description": "Quelles sont les stratégies de prévention en épidémiologie ?\nComment l'épidémiologie aide-t-elle à prévenir les maladies ?\nQuel est l'impact des campagnes de sensibilisation ?\nComment évaluer l'efficacité des programmes de prévention ?\nQuel rôle joue la surveillance épidémiologique ?", "url": "https://questionsmedicales.fr/mesh/D004812#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Méthodes épidémiologiques", "description": "Comment l'épidémiologie influence-t-elle les traitements ?\nQu'est-ce qu'une étude d'intervention ?\nComment les traitements sont-ils comparés en épidémiologie ?\nQuel est le rôle des recommandations cliniques ?\nComment l'épidémiologie évalue-t-elle les effets secondaires ?", "url": "https://questionsmedicales.fr/mesh/D004812#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Méthodes épidémiologiques", "description": "Quelles complications peuvent survenir en épidémiologie ?\nComment l'épidémiologie étudie-t-elle les complications ?\nQuel est l'impact des complications sur la santé publique ?\nComment prévenir les complications ?\nQuelles sont les complications liées aux traitements ?", "url": "https://questionsmedicales.fr/mesh/D004812#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Méthodes épidémiologiques", "description": "Quels sont les principaux facteurs de risque en épidémiologie ?\nComment identifier les facteurs de risque ?\nQuel est le rôle des facteurs de risque dans la prévention ?\nComment les facteurs de risque varient-ils selon les populations ?\nQuel est l'impact des facteurs de risque sur la santé publique ?", "url": "https://questionsmedicales.fr/mesh/D004812#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Qu'est-ce qu'une étude de cohorte ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Une étude de cohorte suit un groupe sur le temps pour observer l'apparition de maladies." } }, { "@type": "Question", "name": "Comment définit-on une étude cas-témoins ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Une étude cas-témoins compare des individus malades à des témoins sains pour identifier des facteurs de risque." } }, { "@type": "Question", "name": "Quelle est l'importance des enquêtes transversales ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Les enquêtes transversales évaluent la prévalence d'une maladie à un moment donné dans une population." } }, { "@type": "Question", "name": "Qu'est-ce qu'une méta-analyse ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Une méta-analyse combine les résultats de plusieurs études pour obtenir une estimation globale." } }, { "@type": "Question", "name": "Quel rôle joue la randomisation dans les essais cliniques ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "La randomisation réduit les biais en assignant aléatoirement les participants aux groupes d'étude." } }, { "@type": "Question", "name": "Quels symptômes sont souvent étudiés en épidémiologie ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes varient selon les maladies, mais incluent douleur, fatigue, et fièvre." } }, { "@type": "Question", "name": "Comment l'épidémiologie évalue-t-elle les symptômes ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Elle utilise des questionnaires et des entretiens pour recueillir des données sur les symptômes." } }, { "@type": "Question", "name": "Quelle est la relation entre symptômes et facteurs de risque ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes peuvent indiquer des facteurs de risque sous-jacents, influençant la santé." } }, { "@type": "Question", "name": "Les symptômes peuvent-ils varier selon les populations ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les symptômes peuvent différer en fonction de la culture, de l'âge et du sexe." } }, { "@type": "Question", "name": "Comment les symptômes sont-ils mesurés en épidémiologie ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Ils sont mesurés par des échelles standardisées et des outils d'évaluation validés." } }, { "@type": "Question", "name": "Quelles sont les stratégies de prévention en épidémiologie ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Les stratégies incluent la vaccination, l'éducation et le dépistage précoce des maladies." } }, { "@type": "Question", "name": "Comment l'épidémiologie aide-t-elle à prévenir les maladies ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Elle identifie les facteurs de risque et les populations vulnérables pour cibler les interventions." } }, { "@type": "Question", "name": "Quel est l'impact des campagnes de sensibilisation ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Les campagnes augmentent la connaissance des risques et encouragent des comportements sains." } }, { "@type": "Question", "name": "Comment évaluer l'efficacité des programmes de prévention ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "L'efficacité est évaluée par des études de suivi et des analyses de résultats de santé." } }, { "@type": "Question", "name": "Quel rôle joue la surveillance épidémiologique ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "La surveillance permet de détecter les épidémies et d'évaluer l'impact des interventions." } }, { "@type": "Question", "name": "Comment l'épidémiologie influence-t-elle les traitements ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Elle identifie l'efficacité des traitements en analysant les résultats des études cliniques." } }, { "@type": "Question", "name": "Qu'est-ce qu'une étude d'intervention ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Une étude d'intervention évalue l'impact d'un traitement ou d'une stratégie de prévention." } }, { "@type": "Question", "name": "Comment les traitements sont-ils comparés en épidémiologie ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements sont comparés par des essais contrôlés randomisés pour évaluer leur efficacité." } }, { "@type": "Question", "name": "Quel est le rôle des recommandations cliniques ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Les recommandations cliniques guident les praticiens sur les traitements basés sur des preuves." } }, { "@type": "Question", "name": "Comment l'épidémiologie évalue-t-elle les effets secondaires ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Elle surveille les effets secondaires par des études de pharmacovigilance et des rapports de cas." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir en épidémiologie ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent des maladies secondaires, des comorbidités et des effets à long terme." } }, { "@type": "Question", "name": "Comment l'épidémiologie étudie-t-elle les complications ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Elle utilise des études de suivi pour observer l'apparition de complications après un traitement." } }, { "@type": "Question", "name": "Quel est l'impact des complications sur la santé publique ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Les complications augmentent la morbidité et les coûts des soins de santé, affectant la population." } }, { "@type": "Question", "name": "Comment prévenir les complications ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "La prévention passe par un suivi régulier, une éducation et des interventions précoces." } }, { "@type": "Question", "name": "Quelles sont les complications liées aux traitements ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements peuvent entraîner des effets indésirables, des rechutes ou des résistances." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque en épidémiologie ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent le mode de vie, l'environnement, la génétique et les comportements de santé." } }, { "@type": "Question", "name": "Comment identifier les facteurs de risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs de risque sont identifiés par des études épidémiologiques et des analyses statistiques." } }, { "@type": "Question", "name": "Quel est le rôle des facteurs de risque dans la prévention ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Comprendre les facteurs de risque aide à cibler les interventions préventives pour réduire les maladies." } }, { "@type": "Question", "name": "Comment les facteurs de risque varient-ils selon les populations ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs de risque peuvent différer selon l'âge, le sexe, la culture et le statut socio-économique." } }, { "@type": "Question", "name": "Quel est l'impact des facteurs de risque sur la santé publique ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs de risque influencent l'incidence des maladies et les coûts associés aux soins de santé." } } ] } ] }
Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 14/04/2025

Contenu vérifié selon les dernières recommandations médicales

Sous-catégories

202 au total
└─

État de porteur sain

Carrier State D002353 - N06.850.520.169
└─

Chaîne d'infection

Chain of Infection D000086003 - N06.850.520.203
└─

Collecte de données

Data Collection D003625 - N06.850.520.308
└─

Méthodologie en recherche épidémiologique

Epidemiologic Research Design D015340 - N06.850.520.445
└─

Caractéristiques des études épidémiologiques

Epidemiologic Study Characteristics D016020 - N06.850.520.450
└─

Surveillance épidémiologique

Epidemiological Monitoring D062665 - N06.850.520.460
└─

Épidémiologie moléculaire

Molecular Epidemiology D017720 - N06.850.520.470
└─

Statistiques comme sujet

Statistics as Topic D013223 - N06.850.520.830
└─

Permutation de traitements

Treatment Switching D000085582 - N06.850.520.915
└─└─

Réservoirs de maladies

Disease Reservoirs D004197 - N06.850.520.203.250
└─└─

Vecteurs de maladies

Disease Vectors D004199 - N06.850.520.203.375
└─└─

Jeux de données comme sujet

Datasets as Topic D066264 - N06.850.520.308.056
└─└─

Groupes de discussion

Focus Groups D017144 - N06.850.520.308.112
└─└─

Évaluation gériatrique

Geriatric Assessment D015577 - N06.850.520.308.225
└─└─

Entretiens comme sujet

Interviews as Topic D007407 - N06.850.520.308.420
└─└─

Sondage par lots appliqué à l'assurance qualité

Lot Quality Assurance Sampling D055810 - N06.850.520.308.461
└─└─

Narration

Narration D033262 - N06.850.520.308.502
└─└─

Résultats négatifs

Negative Results D000076723 - N06.850.520.308.544
└─└─

Évaluation de l'état nutritionnel

Nutrition Assessment D015596 - N06.850.520.308.585
└─└─

Données préliminaires

Preliminary Data D000074286 - N06.850.520.308.763
└─└─

Documents

Records D011996 - N06.850.520.308.940
└─└─

Enregistrements

Registries D012042 - N06.850.520.308.970
└─└─

Enquêtes sanitaires sur l'approvisionnement en eau

Sanitary Surveys, Water Supply D000082463 - N06.850.520.308.975
└─└─

Enquêtes et questionnaires

Surveys and Questionnaires D011795 - N06.850.520.308.980
└─└─

Registre civil

Vital Statistics D014798 - N06.850.520.308.985
└─└─

Études croisées

Cross-Over Studies D018592 - N06.850.520.445.150
└─└─

Méthode en double aveugle

Double-Blind Method D004311 - N06.850.520.445.300
└─└─

Méta-analyse comme sujet

Meta-Analysis as Topic D015201 - N06.850.520.445.500
└─└─

Répartition aléatoire

Random Allocation D011897 - N06.850.520.445.700
└─└─

Reproductibilité des résultats

Reproducibility of Results D015203 - N06.850.520.445.725
└─└─

Taille de l'échantillon

Sample Size D018401 - N06.850.520.445.762
└─└─

Méthode en simple aveugle

Single-Blind Method D016037 - N06.850.520.445.850
└─└─

Études cliniques comme sujet

Clinical Studies as Topic D000068456 - N06.850.520.450.250
└─└─

Études épidémiologiques

Epidemiologic Studies D016021 - N06.850.520.450.500
└─└─

Études de faisabilité

Feasibility Studies D005240 - N06.850.520.450.550
└─└─

Études multicentriques comme sujet

Multicenter Studies as Topic D015337 - N06.850.520.450.643
└─└─

Projets pilotes

Pilot Projects D010865 - N06.850.520.450.720
└─└─

Études par échantillonnage

Sampling Studies D012494 - N06.850.520.450.875
└─└─

Méthode des jumeaux comme sujet

Twin Studies as Topic D018433 - N06.850.520.450.900
└─└─

Surveillance épidémiologique fondée sur les eaux usées

Wastewater-Based Epidemiological Monitoring D000079686 - N06.850.520.460.500
└─└─

Étude d'association pangénomique

Genome-Wide Association Study D055106 - N06.850.520.470.500
└─└─

Analyse actuarielle

Actuarial Analysis D000206 - N06.850.520.830.100
└─└─

Analyse de variance

Analysis of Variance D000704 - N06.850.520.830.150
└─└─

Aire sous la courbe

Area Under Curve D019540 - N06.850.520.830.200
└─└─

Analyse de regroupements

Cluster Analysis D016000 - N06.850.520.830.250
└─└─

Intervalles de confiance

Confidence Intervals D016001 - N06.850.520.830.275
└─└─

Interprétation statistique de données

Data Interpretation, Statistical D003627 - N06.850.520.830.300
└─└─

Analyse discriminante

Discriminant Analysis D016002 - N06.850.520.830.350
└─└─

Utilisation des installations et des services

Facilities and Services Utilization D000078336 - N06.850.520.830.375
└─└─

Analyse statistique factorielle

Factor Analysis, Statistical D005163 - N06.850.520.830.400
└─└─

Analyse appariée

Matched-Pair Analysis D016555 - N06.850.520.830.475
└─└─

Modèles statistiques

Models, Statistical D015233 - N06.850.520.830.500
└─└─

Méthode de Monte Carlo

Monte Carlo Method D009010 - N06.850.520.830.525
└─└─

Analyse multiniveaux

Multilevel Analysis D055361 - N06.850.520.830.562
└─└─

Probabilité

Probability D011336 - N06.850.520.830.600
└─└─

Utilisation des procédures et des techniques

Procedures and Techniques Utilization D000078337 - N06.850.520.830.675
└─└─

Analyse de régression

Regression Analysis D012044 - N06.850.520.830.750
└─└─

Sensibilité et spécificité

Sensitivity and Specificity D012680 - N06.850.520.830.872
└─└─

Analyse spatiale

Spatial Analysis D062206 - N06.850.520.830.933
└─└─

Lois statistiques

Statistical Distributions D016008 - N06.850.520.830.994
└─└─

Statistique non paramétrique

Statistics, Nonparametric D018709 - N06.850.520.830.995
└─└─

Processus stochastiques

Stochastic Processes D013269 - N06.850.520.830.996
└─└─

Analyse de survie

Survival Analysis D016019 - N06.850.520.830.998
└─└─└─

Matières contaminées

Fomites D050456 - N06.850.520.203.250.500
└─└─└─

Vecteurs arthropodes

Arthropod Vectors D001179 - N06.850.520.203.375.100
└─└─└─

Certificats de naissance

Birth Certificates D001719 - N06.850.520.308.940.250
└─└─└─

Certificats de décès

Death Certificates D003644 - N06.850.520.308.940.350
└─└─└─

Dossiers dentaires

Dental Records D003792 - N06.850.520.308.940.375
└─└─└─

Archives administratives hospitalières

Hospital Records D006753 - N06.850.520.308.940.425
└─└─└─

Dossiers médicaux

Medical Records D008499 - N06.850.520.308.940.968
└─└─└─

Dossiers de soins infirmiers

Nursing Records D009737 - N06.850.520.308.940.984
└─└─└─

Programme SEER

SEER Program D018426 - N06.850.520.308.970.725
└─└─└─

Enquêtes sur la prévalence de la contraception

Contraceptive Prevalence Surveys D000069216 - N06.850.520.308.980.313
└─└─└─

Enquêtes sur les soins de santé

Health Care Surveys D019538 - N06.850.520.308.980.344
└─└─└─

Enquêtes de santé

Health Surveys D006306 - N06.850.520.308.980.438
└─└─└─

Enquêtes nutritionnelles

Nutrition Surveys D009749 - N06.850.520.308.980.469
└─└─└─

Questionnaire de santé du patient

Patient Health Questionnaire D000073222 - N06.850.520.308.980.485
└─└─└─

Autorapport

Self Report D057566 - N06.850.520.308.980.500
└─└─└─

Espérance de vie

Life Expectancy D008017 - N06.850.520.308.985.450
└─└─└─

Morbidité

Morbidity D009017 - N06.850.520.308.985.525
└─└─└─

Mortalité

Mortality D009026 - N06.850.520.308.985.550
└─└─└─

Taux de grossesse

Pregnancy Rate D018873 - N06.850.520.308.985.775
└─└─└─

Méta-analyse en réseau

Network Meta-Analysis D000071076 - N06.850.520.445.500.500
└─└─└─

Précision de la mesure dimensionnelle

Dimensional Measurement Accuracy D061827 - N06.850.520.445.725.500
└─└─└─

Valeur prédictive des tests

Predictive Value of Tests D011237 - N06.850.520.445.800.650
└─└─└─

Courbe ROC

ROC Curve D012372 - N06.850.520.445.800.750
└─└─└─

Essais cliniques comme sujet

Clinical Trials as Topic D002986 - N06.850.520.450.250.250
└─└─└─

Essais cliniques vétérinaires comme sujet

Clinical Trials, Veterinary as Topic D000078665 - N06.850.520.450.250.375
└─└─└─

Études observationnelles comme sujet

Observational Studies as Topic D064887 - N06.850.520.450.250.500
└─└─└─

Études d'observations vétérinaires comme sujet

Observational Studies, Veterinary as Topic D000079223 - N06.850.520.450.250.750
└─└─└─

Études cas-témoins

Case-Control Studies D016022 - N06.850.520.450.500.500
└─└─└─

Études de cohortes

Cohort Studies D015331 - N06.850.520.450.500.750
└─└─└─

Études contrôlées avant-après

Controlled Before-After Studies D065187 - N06.850.520.450.500.812
└─└─└─

Études transversales

Cross-Sectional Studies D003430 - N06.850.520.450.500.875
└─└─└─

Analyse de série chronologique interrompue

Interrupted Time Series Analysis D065186 - N06.850.520.450.500.912
└─└─└─

Études séroépidémiologiques

Seroepidemiologic Studies D016036 - N06.850.520.450.500.950
└─└─└─

Analyse multifactorielle

Multivariate Analysis D015999 - N06.850.520.830.150.500
└─└─└─

Analyse de structure latente

Latent Class Analysis D000077272 - N06.850.520.830.250.338
└─└─└─

Analyse de positionnement multidimensionnel

Multidimensional Scaling Analysis D000084142 - N06.850.520.830.250.507
└─└─└─

Analyse en petite superficie

Small-Area Analysis D017062 - N06.850.520.830.250.675
└─└─└─

Analyses secondaires des données

Secondary Data Analysis D000094422 - N06.850.520.830.300.500
└─└─└─

Analyse de médiation

Mediation Analysis D000081983 - N06.850.520.830.400.500
└─└─└─

Modèles économiques

Models, Economic D018803 - N06.850.520.830.500.600
└─└─└─

Nomogrammes

Nomograms D049451 - N06.850.520.830.500.625
└─└─└─

Théorème de Bayes

Bayes Theorem D001499 - N06.850.520.830.600.200
└─└─└─

Fonctions de vraisemblance

Likelihood Functions D016013 - N06.850.520.830.600.400
└─└─└─

Odds ratio

Odds Ratio D016017 - N06.850.520.830.600.600
└─└─└─

Score de propension

Propensity Score D057216 - N06.850.520.830.600.650
└─└─└─

Risque

Risk D012306 - N06.850.520.830.600.800
└─└─└─

Incertitude

Uncertainty D035501 - N06.850.520.830.600.900
└─└─└─

Méthode des moindres carrés

Least-Squares Analysis D016018 - N06.850.520.830.750.400
└─└─└─

Modèles linéaires

Linear Models D016014 - N06.850.520.830.750.425
└─└─└─

Modèles logistiques

Logistic Models D016015 - N06.850.520.830.750.450
└─└─└─

Limite de détection

Limit of Detection D057230 - N06.850.520.830.872.500
└─└─└─

Rapport signal-bruit

Signal-To-Noise Ratio D059629 - N06.850.520.830.872.750
└─└─└─

Cartographie géographique

Geographic Mapping D062305 - N06.850.520.830.933.249
└─└─└─

Régression spatiale

Spatial Regression D000068916 - N06.850.520.830.933.375
└─└─└─

Analyse spatio-temporelle

Spatio-Temporal Analysis D062211 - N06.850.520.830.933.500
└─└─└─

Loi binomiale

Binomial Distribution D016010 - N06.850.520.830.994.250
└─└─└─

Loi du khi-deux

Chi-Square Distribution D016009 - N06.850.520.830.994.300
└─└─└─

Loi normale

Normal Distribution D016011 - N06.850.520.830.994.500
└─└─└─

Loi de Poisson

Poisson Distribution D016012 - N06.850.520.830.994.750
└─└─└─

Chaines de Markov

Markov Chains D008390 - N06.850.520.830.996.500
└─└─└─

Survie sans rechute

Disease-Free Survival D018572 - N06.850.520.830.998.300
└─└─└─

Estimation de Kaplan-Meier

Kaplan-Meier Estimate D053208 - N06.850.520.830.998.650
└─└─└─

Survie sans progression

Progression-Free Survival D000077982 - N06.850.520.830.998.825
└─└─└─

Modèles des risques proportionnels

Proportional Hazards Models D016016 - N06.850.520.830.998.912
└─└─└─└─

Vecteurs arachnides

Arachnid Vectors D001096 - N06.850.520.203.375.100.100
└─└─└─└─

Vecteurs insectes

Insect Vectors D007303 - N06.850.520.203.375.100.500
└─└─└─└─

Codage clinique

Clinical Coding D059019 - N06.850.520.308.940.968.249
└─└─└─└─

Couplage des dossiers médicaux

Medical Record Linkage D008498 - N06.850.520.308.940.968.500
└─└─└─└─

Dossiers médicaux basés sur les problèmes

Medical Records, Problem-Oriented D008501 - N06.850.520.308.940.968.550
└─└─└─└─

Systèmes informatisés de dossiers médicaux

Medical Records Systems, Computerized D016347 - N06.850.520.308.940.968.625
└─└─└─└─

Comptes-rendus de sortie des patients

Patient Discharge Summaries D063886 - N06.850.520.308.940.968.750
└─└─└─└─

Indices de gravité des traumatismes

Trauma Severity Indices D015599 - N06.850.520.308.940.968.875
└─└─└─└─

Mesures des résultats rapportés par les patients

Patient Reported Outcome Measures D000071066 - N06.850.520.308.980.344.500
└─└─└─└─

Système de surveillance des facteurs de risques comportementaux

Behavioral Risk Factor Surveillance System D040343 - N06.850.520.308.980.438.149
└─└─└─└─

Indicateurs d'état de santé

Health Status Indicators D006305 - N06.850.520.308.980.438.475
└─└─└─└─

Enquêtes sur le régime alimentaire

Diet Surveys D004034 - N06.850.520.308.980.469.350
└─└─└─└─

Espérance de vie corrigée de l'incapacité

Disability-Adjusted Life Years D000087509 - N06.850.520.308.985.450.250
└─└─└─└─

Espérance de vie en bonne santé

Healthy Life Expectancy D000087508 - N06.850.520.308.985.450.500
└─└─└─└─

Tables de survie

Life Tables D015993 - N06.850.520.308.985.450.750
└─└─└─└─

Années de vie ajustées sur la qualité

Quality-Adjusted Life Years D019057 - N06.850.520.308.985.450.875
└─└─└─└─

Taux de reproduction de base

Basic Reproduction Number D050936 - N06.850.520.308.985.525.080
└─└─└─└─

Incidence

Incidence D015994 - N06.850.520.308.985.525.375
└─└─└─└─

Prévalence

Prevalence D015995 - N06.850.520.308.985.525.750
└─└─└─└─

Cause de décès

Cause of Death D002423 - N06.850.520.308.985.550.250
└─└─└─└─

Mortalité de l'enfant

Child Mortality D046688 - N06.850.520.308.985.550.287
└─└─└─└─

Issue fatale

Fatal Outcome D017809 - N06.850.520.308.985.550.325
└─└─└─└─

Mortalité foetale

Fetal Mortality D046689 - N06.850.520.308.985.550.362
└─└─└─└─

Mortalité hospitalière

Hospital Mortality D017052 - N06.850.520.308.985.550.400
└─└─└─└─

Mortalité infantile

Infant Mortality D007226 - N06.850.520.308.985.550.475
└─└─└─└─

Mortalité maternelle

Maternal Mortality D008428 - N06.850.520.308.985.550.500
└─└─└─└─

Mortalité prématurée

Mortality, Premature D061213 - N06.850.520.308.985.550.550
└─└─└─└─

Taux de survie

Survival Rate D015996 - N06.850.520.308.985.550.900
└─└─└─└─

Taux de natalité

Birth Rate D001723 - N06.850.520.308.985.775.500
└─└─└─└─

Essais cliniques adaptatifs comme sujet

Adaptive Clinical Trials as Topic D000075522 - N06.850.520.450.250.250.100
└─└─└─└─

Essais cliniques de phase I comme sujet

Clinical Trials, Phase I as Topic D017321 - N06.850.520.450.250.250.200
└─└─└─└─

Essais cliniques de phase II comme sujet

Clinical Trials, Phase II as Topic D017322 - N06.850.520.450.250.250.210
└─└─└─└─

Essais cliniques de phase III comme sujet

Clinical Trials, Phase III as Topic D017326 - N06.850.520.450.250.250.220
└─└─└─└─

Essais cliniques de phase IV comme sujet

Clinical Trials, Phase IV as Topic D017327 - N06.850.520.450.250.250.230
└─└─└─└─

Essais cliniques contrôlés comme sujet

Controlled Clinical Trials as Topic D018849 - N06.850.520.450.250.250.365
└─└─└─└─

Études de cas unique comme sujet

Single-Case Studies as Topic D000080907 - N06.850.520.450.250.250.682
└─└─└─└─

Études de suivi

Follow-Up Studies D005500 - N06.850.520.450.500.750.350
└─└─└─└─

Études longitudinales

Longitudinal Studies D008137 - N06.850.520.450.500.750.500
└─└─└─└─

Études prospectives

Prospective Studies D011446 - N06.850.520.450.500.750.650
└─└─└─└─

Études rétrospectives

Retrospective Studies D012189 - N06.850.520.450.500.750.825
└─└─└─└─

Séroprévalence du VIH

HIV Seroprevalence D015528 - N06.850.520.450.500.950.375
└─└─└─└─

Analyse canonique des corrélations

Canonical Correlation Analysis D000089342 - N06.850.520.830.150.500.250
└─└─└─└─

Modèles économétriques

Models, Econometric D017059 - N06.850.520.830.500.600.500
└─└─└─└─

Facteurs de protection

Protective Factors D065840 - N06.850.520.830.600.800.582
└─└─└─└─

Appréciation des risques

Risk Assessment D018570 - N06.850.520.830.600.800.715
└─└─└─└─

Facteurs de risque

Risk Factors D012307 - N06.850.520.830.600.800.725
└─└─└─└─

Secteur de recensement

Census Tract D000091368 - N06.850.520.830.933.249.500
└─└─└─└─

Agrégat spatio-temporel

Space-Time Clustering D013029 - N06.850.520.830.933.500.500
└─└─└─└─└─

Vecteurs moustiques

Mosquito Vectors D000072138 - N06.850.520.203.375.100.500.500
└─└─└─└─└─

Dossiers médicaux électroniques

Electronic Health Records D057286 - N06.850.520.308.940.968.625.250
└─└─└─└─└─

Cartes à puce de santé

Health Smart Cards D000069098 - N06.850.520.308.940.968.625.500
└─└─└─└─└─

Test d'impact des symptômes sino-nasaux

Sino-Nasal Outcome Test D000079602 - N06.850.520.308.980.344.500.500
└─└─└─└─└─

Troubles propices aux soins ambulatoires

Ambulatory Care Sensitive Conditions D000090004 - N06.850.520.308.980.438.475.012
└─└─└─└─└─

Indicateurs de maladies chroniques

Chronic Disease Indicators D000079662 - N06.850.520.308.980.438.475.023
└─└─└─└─└─

Coûts indirects de la maladie

Cost of Illness D017281 - N06.850.520.308.980.438.475.046
└─└─└─└─└─

Charge mondiale de morbidité

Global Burden of Disease D000071219 - N06.850.520.308.980.438.475.091
└─└─└─└─└─

Acuité des besoins du patient

Patient Acuity D062072 - N06.850.520.308.980.438.475.364
└─└─└─└─└─

Profil d'impact de la maladie

Sickness Impact Profile D018434 - N06.850.520.308.980.438.475.730
└─└─└─└─└─

Mortalité périnatale

Perinatal Mortality D054238 - N06.850.520.308.985.550.475.500
└─└─└─└─└─

Essais contrôlés non randomisés comme sujet

Non-Randomized Controlled Trials as Topic D065228 - N06.850.520.450.250.250.365.250
└─└─└─└─└─

Essais contrôlés randomisés comme sujet

Randomized Controlled Trials as Topic D016032 - N06.850.520.450.250.250.365.500
└─└─└─└─└─

Étude longitudinale sur la santé des adolescents aux États-Unis

National Longitudinal Study of Adolescent Health D063588 - N06.850.520.450.500.750.500.500
└─└─└─└─└─

Analyse des modes de défaillance et de leurs effets en soins de santé

Healthcare Failure Mode and Effect Analysis D000067495 - N06.850.520.830.600.800.715.500
└─└─└─└─└─

Facteurs de risque de maladie cardiaque

Heart Disease Risk Factors D000082742 - N06.850.520.830.600.800.725.500
└─└─└─└─└─└─

Indice de gravité de la maladie

Severity of Illness Index D012720 - N06.850.520.308.980.438.475.364.500
└─└─└─└─└─└─

Essais d'équivalence comme sujet

Equivalence Trials as Topic D000074099 - N06.850.520.450.250.250.365.500.250
└─└─└─└─└─└─

Analyse en intention de traitement

Intention to Treat Analysis D057194 - N06.850.520.450.250.250.365.500.500
└─└─└─└─└─└─

Essais cliniques pragmatiques comme sujet

Pragmatic Clinical Trials as Topic D064792 - N06.850.520.450.250.250.365.500.750
└─└─└─└─└─└─

Facteurs de risque cardiométabolique

Cardiometabolic Risk Factors D000083202 - N06.850.520.830.600.800.725.500.500
└─└─└─└─└─└─

Paradoxe de l'obésité

Obesity Paradox D000094408 - N06.850.520.830.600.800.725.500.750
└─└─└─└─└─└─└─

Indice APACHE

APACHE D018806 - N06.850.520.308.980.438.475.364.500.250
└─└─└─└─└─└─└─

Score d'alerte précoce

Early Warning Score D000080162 - N06.850.520.308.980.438.475.364.500.375
└─└─└─└─└─└─└─

Indice de performance de Karnofsky

Karnofsky Performance Status D017567 - N06.850.520.308.980.438.475.364.500.500
└─└─└─└─└─└─└─

Scores de dysfonction d'organes

Organ Dysfunction Scores D063305 - N06.850.520.308.980.438.475.364.500.625
└─└─└─└─└─└─└─

Indice de gravité simplifié

Simplified Acute Physiology Score D000072878 - N06.850.520.308.980.438.475.364.500.750

Auteurs principaux

Dena Zeraatkar

2 publications dans cette catégorie

Affiliations :
  • Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.

Matthew P Fox

2 publications dans cette catégorie

Publications dans "Méthodes épidémiologiques" :

Marianthi-Anna Kioumourtzoglou

2 publications dans cette catégorie

Affiliations :
  • Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Publications dans "Méthodes épidémiologiques" :

Chris Gennings

2 publications dans cette catégorie

Affiliations :
  • Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Publications dans "Méthodes épidémiologiques" :

Brent A Coull

2 publications dans cette catégorie

Affiliations :
  • Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Publications dans "Méthodes épidémiologiques" :

Rayane Rafei

1 publication dans cette catégorie

Affiliations :
  • Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Science and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
Publications dans "Méthodes épidémiologiques" :

Marwan Osman

1 publication dans cette catégorie

Affiliations :
  • Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Science and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
Publications dans "Méthodes épidémiologiques" :

Fouad Dabboussi

1 publication dans cette catégorie

Affiliations :
  • Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Science and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
Publications dans "Méthodes épidémiologiques" :

Monzer Hamze

1 publication dans cette catégorie

Affiliations :
  • Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Science and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
Publications dans "Méthodes épidémiologiques" :

Kevin Cheung

1 publication dans cette catégorie

Affiliations :
  • Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Kirolos Milio

1 publication dans cette catégorie

Affiliations :
  • Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Max Zworth

1 publication dans cette catégorie

Affiliations :
  • Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Arnav Gupta

1 publication dans cette catégorie

Affiliations :
  • Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Arrti Bhasin

1 publication dans cette catégorie

Affiliations :
  • Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Jessica J Bartoszko

1 publication dans cette catégorie

Affiliations :
  • Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Michel Kiflen

1 publication dans cette catégorie

Affiliations :
  • Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Rita E Morassut

1 publication dans cette catégorie

Affiliations :
  • Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Salmi T Noor

1 publication dans cette catégorie

Affiliations :
  • Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Daeria O Lawson

1 publication dans cette catégorie

Affiliations :
  • Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Publications dans "Méthodes épidémiologiques" :

Bradley C Johnston

1 publication dans cette catégorie

Affiliations :
  • Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Publications dans "Méthodes épidémiologiques" :

Sources (10000 au total)

Estimating alcohol-attributable injury deaths: A comparison of epidemiological methods.

Injuries often involve alcohol, but determining the proportion caused by alcohol is difficult. Several approaches have been used to determine the causal role of alcohol, but these methods have not bee... For the BAC method, we used a direct method involving the proportion of decedents with a high blood alcohol concentration (BAC; e.g. ≥ 0.10%). For the PAF approach, we compared the use of unadjusted s... The number of alcohol-attributable injury deaths using the direct method (48 516 deaths annually) was similar to that using PAF methods (47 879 deaths annually), but only when alcohol use measures wer... Estimates of alcohol-attributable injury deaths from a direct method and from a population attributable fraction method that adjusts for alcohol use based on alcohol sales data appear to be comparable...

Response to Tsuda et al. "demonstrating the undermining of science and health policy after the Fukushima nuclear accident by applying the toolkit for detecting misused epidemiological methods".

The SHAMISEN (Nuclear Emergency Situations - Improvement of Medical And Health Surveillance) European project was conducted in 2015-2017 to review the lessons learned from the experience of past nucle... We address the main points of criticism of our publication on the SHAMISEN European project.... We disagree with some of the arguments and criticisms mentioned by Tsuda et al. We continue to support the conclusions and recommendations of the SHAMISEN consortium, including the recommendation not ...

Using the Generalized Synthetic Control Method to Estimate the Impact of Extreme Weather Events on Population Health.

Traditional epidemiologic approaches such as time-series or case-crossover designs are often used to estimate the effects of extreme weather events but can be limited by unmeasured confounding. Quasi-... We used generalized synthetic control to compare the average number of ZIP code-level respiratory hospitalizations during the wildfire storm between ZIP codes that were classified as exposed versus un... The analysis included 172 exposed and 578 unexposed ZIP codes. We estimated that the average effect of the wildfire storm among the exposed ZIP codes was an 18% (95% confidence interval: 10% to 29%) i... We illustrate the use of generalized synthetic control to leverage natural experiments to quantify the health impacts of extreme weather events when traditional approaches are unavailable or limited b...

Methods for the Analysis of Multiple Epigenomic Mediators in Environmental Epidemiology.

Epigenetic changes can be highly influenced by environmental factors and have in turn been proposed to influence chronic disease. Being able to quantify to which extent epigenomic processes are mediat... The ultra-high dimensionality and high correlations that characterize omics data have hindered the precise quantification of mediated effects. Several methods have been proposed to deal with mediation...

Necrotizing fasciitis: an update on epidemiology, diagnostic methods, and treatment.

The aim of this review is to discuss the latest evidence of epidemiology, diagnostic methods, and treatment of necrotizing soft tissue infections (NSTIs) with a particular focus on necrotizing fasciit... NSTIs have been historically referred to as NF but encompass a broader range of infections, with variable rates ranging from 0.86 to 32.64 per 100 000 person-years, influenced by factors such as clima... Prompt diagnosis and proper medical and surgical management of NSTI will improve outcomes....