ABSTRACT
@#Abstract: Occupational epidemiology aims to explore the effect of occupational hazards on the health of workers and understand ， their mechanisms. It plays an important role in occupational health and occupational medicine.Currently occupational ， ， exposures in the workplace are complex and diverse and multiple factors affect workers´ health at the same time. Therefore it is important to elucidate the pathogenesis of occupational disease caused by occupational hazards and implement early - - intervention. System epidemiology collects data on multi level exposure and multi omics information to conduct network analysis - on the relationship amongrisk factors. and to study the mechanisms of exposures and health outcomes based on multi level data. ， ， ， ， Using the study design of system epidemiology occupational environmental lifestyle and social factors are combined as a ， system to evaluate the health of workers which can better evaluate the adverse health effects caused by occupational hazards. - ， ， The studies base on multi omics design will explore the pathogenesis of occupational diseases at the molecular cellular and tissue levels to evaluate the impact of occupational hazards on workers´ health and to explore interventions from multiple - perspectives to reduce the occurrence of occupational or work related diseases.
ABSTRACT
Introdução: Atualmente, a dengue gera um importante impacto sobre o bem-estar dos pacientes e a economia do sistema público de saúde. Nesse sentido, evidencia-se a necessidade da realização de estudos epidemiológicos de modo a auxiliar nas análises acerca da realidade estadual. Objetivo: Caracterizar o perfil epidemiológico da dengue em Minas Gerais, de 2009 a 2019. Material e Métodos: Estudo observacional de caráter descritivo e quantitativo utilizando dados de notificações e internações obtidos do Sistema de Informação de Agravos de Notificação e do Sistema de Informações Hospitalares, a partir do TABNET. Calcularam-se taxas de letalidade, incidência e internação, utilizando dados demográficos do Departamento de Informática do Sistema Único de Saúde para os cálculos de incidência e internação. As variáveis de estudo foram: ano de ocorrência, macrorregião de residência, faixa etária, evolução e classificação clínica da doença, sexo, escolaridade e raça. Resultados: A dengue possui um caráter cíclico de incidência, e as taxas de letalidade e internação oscilam anualmente. As macrorregiões Centro, Triângulo do Sul, Noroeste, Oeste, Triângulo do Norte e Vale do Aço obtiveram elevadas taxas de incidência, e a macrorregião Leste a maior taxa de internação. A maioria dos casos de dengue foram classificados como "dengue clássica", e a classificação "dengue grave" foi a de menor incidência. Em relação à faixa etária, o intervalo de 15 a 39 anos apresentou maior taxa de incidência e menores taxas de letalidade e de internação, quando comparado à população idosa. Ademais, a evolução a óbito ocorreu mais frequentemente em indivíduos analfabetos. Conclusão: Os achados desse estudo elucidam o perfil epidemiológico da dengue em Minas Gerais, que se caracteriza por apresentar um padrão nacional cíclico de casos, manifestando-se principalmente de forma branda, mas com um acréscimo da morbimortalidade em analfabetos e idosos.
Introduction: Currently, dengue has an important impact on the well-being of patients and the economy of the public health system. In this sense, the need to carry out epidemiological studies is highlighted in order to assist in the analysis of the state's reality. Objective: To characterize the epidemiological profile of dengue in Minas Gerais, from 2009 to 2019. Material and Methods: Observational descriptive and quantitative study based on data on notifications and admissions obtained from the Notifiable Diseases Information System and the Hospital Information System, from TABNET. Rates of lethality, incidence and hospitalization were calculated using demographic data from the information technology department of the Unified Health System to calculate incidence and hospitalization. The study variables were: the year of occurrence, macro-region of residence, age group, evolution and clinical classification of the disease, gender, education and race. Results: Dengue has a cyclical nature of incidence, and lethality and hospitalization rates fluctuate annually. The Central, Southern Triangle, Northwest, West, Northern Triangle and Vale do Aço macro-regions had high incidence rates, and the Eastern macro-region had the highest hospitalization rate. Most dengue cases were classified as 'classic dengue', and the classification 'severe dengue' had the lowest incidence. Regarding the age group, the 15 to 39-year age group had a higher incidence rate and lower mortality and hospitalization rates, when compared to the elderly population. Furthermore, the evolution to death occurred more frequently in illiterate individuals. Conclusion: The findings of this study elucidate the epidemiological profile of dengue in Minas Gerais, which is characterized by presenting a cyclical national pattern of cases, manifesting itself mainly in a mild form, but with an increase in morbidity and mortality in illiterate and elderly people.
Subject(s)
Dengue , Health Profile , Information Systems , Public Health , Epidemiology , Severe Dengue , Public Health Surveillance , Statistical DataABSTRACT
The era of medical big data,translational medicine and precision medicine brings new opportunities for the study of etiology of chronic complex diseases.How to implement evidence-based medicine,translational medicine and precision medicine are the challenges we are facing.Systems epidemiology,a new field of epidemiology,combines medical big data with system biology and examines the statistical model of disease risk,the future risk simulation and prediction using the data at molecular,cellular,population,social and ecological levels.Due to the diversity and complexity of big data sources,the development of study design and analytic methods of systems epidemiology face new challenges and opportunities.This paper summarizes the theoretical basis,concept,objectives,significances,research design and analytic methods of systems epidemiology and its application in the field of public health.
ABSTRACT
The era of medical big data,translational medicine and precision medicine brings new opportunities for the study of etiology of chronic complex diseases.How to implement evidence-based medicine,translational medicine and precision medicine are the challenges we are facing.Systems epidemiology,a new field of epidemiology,combines medical big data with system biology and examines the statistical model of disease risk,the future risk simulation and prediction using the data at molecular,cellular,population,social and ecological levels.Due to the diversity and complexity of big data sources,the development of study design and analytic methods of systems epidemiology face new challenges and opportunities.This paper summarizes the theoretical basis,concept,objectives,significances,research design and analytic methods of systems epidemiology and its application in the field of public health.
ABSTRACT
Since the development of high-throughput technology,electronic medical record system and big data technology,the value of medical data has caused more attention.On the other hand,the proposal of Precision Medicine Initiative opens up the prospect for medical big data.As a Tool-related Discipline,Epidemiology is,focusing on exploitation the resources of existing big data and promoting the integration of translational research and knowledge to completely unlocking the "black box" of exposure-disease continuum.It also tries to accelerating the realization of the ultimate goal on precision medicine.The overall purpose,however is to translate the evidence from scientific research to improve the health of the people.
ABSTRACT
Since the development of high-throughput technology,electronic medical record system and big data technology,the value of medical data has caused more attention.On the other hand,the proposal of Precision Medicine Initiative opens up the prospect for medical big data.As a Tool-related Discipline,Epidemiology is,focusing on exploitation the resources of existing big data and promoting the integration of translational research and knowledge to completely unlocking the "black box" of exposure-disease continuum.It also tries to accelerating the realization of the ultimate goal on precision medicine.The overall purpose,however is to translate the evidence from scientific research to improve the health of the people.