Base de dados : MEDLINE
Pesquisa : N06.850.505 [Categoria DeCS]
Referências encontradas : 227 [refinar]
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[PMID]:28436632
[Au] Autor:Dou L; Yang G; Mo W
[Ad] Endereço:Prenatal Screening Center, Zhejiang Xiaoshan Hospital, Hangzhou 311201, China.
[Ti] Título:[Localization of gestational age reference table and its application in prenatal screening].
[So] Source:Zhejiang Da Xue Xue Bao Yi Xue Ban;46(1):59-65, 2017 Jan 25.
[Is] ISSN:1008-9292
[Cp] País de publicação:China
[La] Idioma:chi
[Ab] Resumo:To establish a fetal biparietal diameter (BPD)-gestational age formula based on the data of pregnant women from Xiaoshan District of Hangzhou, and to evaluate its application in prenatal screening. Data of 3500 pregnant women with gestational age between 15 weeks and 19 weeks+6 receiving prenatal screening in Xiaoshan Hospital during May 2014 and May 2015 were collected. BPDs were used to establish a localized BPD-gestational age formula. The localized formula was used to evaluate the prenatal screening risks in 1759 pregnant women with irregular menstrual cycles or uncertain last menstrual period (LMP) in Xiaoshan District, and the results were compared with those calculated using formula in LifeCycle 4.0. With localized formula, the total positive rate of Down syndrome, trisomy 18 syndrome and deformity of neural tube was decreased from 6.96% to 5.85% ( <0.05), in which the positive rate of Down syndrome decreased ( <0.05), that of deformity of neural tube increased ( <0.05), and that of trisomy 18 syndrome remained the same ( >0.05). The median MoMs of free-hCG ß and α-fetoprotein calculated using localized formula were significantly different from those calculated using the formula in LifeCycle 4.0 (all <0.05), and the former ones were more closer to 1. For women of fetus diagnosed with the above diseases, the positive rate calculated using localized formula was almost the same as that calculated using the formula in LifeCycle 4.0. BPD-gestational age formula should be localized based on the statistical analysis of the local population, which will help to reduce the false positive rate, and make the results more accurate and reliable in prenatal screening.
[Mh] Termos MeSH primário: Pesos e Medidas Corporais/normas
Cefalometria/estatística & dados numéricos
Cefalometria/normas
Idade Gestacional
Cabeça/embriologia
Programas de Rastreamento/métodos
Programas de Rastreamento/normas
Diagnóstico Pré-Natal/estatística & dados numéricos
Diagnóstico Pré-Natal/normas
[Mh] Termos MeSH secundário: Adulto
Gonadotropina Coriônica Humana Subunidade beta/sangue
Gonadotropina Coriônica Humana Subunidade beta/normas
Cromossomos Humanos Par 18
Síndrome de Down/diagnóstico
Síndrome de Down/embriologia
Medidas em Epidemiologia
Feminino
Desenvolvimento Fetal
Seres Humanos
Programas de Rastreamento/estatística & dados numéricos
Ciclo Menstrual
Defeitos do Tubo Neural/diagnóstico
Defeitos do Tubo Neural/embriologia
Gravidez
Diagnóstico Pré-Natal/métodos
Valores de Referência
Trissomia/diagnóstico
Síndrome da Trissomía do Cromossomo 18
alfa-Fetoproteínas/análise
alfa-Fetoproteínas/normas
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (Chorionic Gonadotropin, beta Subunit, Human); 0 (alpha-Fetoproteins)
[Em] Mês de entrada:1709
[Cu] Atualização por classe:171116
[Lr] Data última revisão:
171116
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170425
[St] Status:MEDLINE


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[PMID]:27335117
[Au] Autor:Lee M; Gouskova NA; Feuer EJ; Fine JP
[Ad] Endereço:Department of Statistics, Kangwon National University, Chuncheon, Gangwon 24341, South Korea minjung.lee09@gmail.com.
[Ti] Título:On the choice of time scales in competing risks predictions.
[So] Source:Biostatistics;18(1):15-31, 2017 Jan.
[Is] ISSN:1468-4357
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:In the standard analysis of competing risks data, proportional hazards models are fit to the cause-specific hazard functions for all causes on the same time scale. These regression analyses are the foundation for predictions of cause-specific cumulative incidence functions based on combining the estimated cause-specific hazard functions. However, in predictions arising from disease registries, where only subjects with disease enter the database, disease-related mortality may be more naturally modeled on the time since diagnosis time scale while death from other causes may be more naturally modeled on the age time scale. The single time scale methodology may be biased if an incorrect time scale is employed for one of the causes and an alternative methodology is not available. We propose inferences for the cumulative incidence function in which regression models for the cause-specific hazard functions may be specified on different time scales. Using the disease registry data, the analysis of other cause mortality on the age scale requires left truncating the event time at the age of disease diagnosis, complicating the analysis. In addition, standard Martingale theory is not applicable when combining regression models on different time scales. We establish that the covariate conditional predictions are consistent and asymptotically normal using empirical process techniques and propose consistent variance estimators for constructing confidence intervals. Simulation studies show that the proposed two time scales method performs well, outperforming the single time-scale predictions when the time scale is misspecified. The methods are illustrated with stage III colon cancer data obtained from the Surveillance, Epidemiology, and End Results program of National Cancer Institute.
[Mh] Termos MeSH primário: Medidas em Epidemiologia
Modelos de Riscos Proporcionais
Sistema de Registros/estatística & dados numéricos
Medição de Risco/métodos
[Mh] Termos MeSH secundário: Seres Humanos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170926
[Lr] Data última revisão:
170926
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160624
[St] Status:MEDLINE
[do] DOI:10.1093/biostatistics/kxw024


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[PMID]:27416840
[Au] Autor:Kyle RP; Moodie EE; Klein MB; Abrahamowicz M
[Ti] Título:Correcting for Measurement Error in Time-Varying Covariates in Marginal Structural Models.
[So] Source:Am J Epidemiol;184(3):249-58, 2016 Aug 01.
[Is] ISSN:1476-6256
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Unbiased estimation of causal parameters from marginal structural models (MSMs) requires a fundamental assumption of no unmeasured confounding. Unfortunately, the time-varying covariates used to obtain inverse probability weights are often error-prone. Although substantial measurement error in important confounders is known to undermine control of confounders in conventional unweighted regression models, this issue has received comparatively limited attention in the MSM literature. Here we propose a novel application of the simulation-extrapolation (SIMEX) procedure to address measurement error in time-varying covariates, and we compare 2 approaches. The direct approach to SIMEX-based correction targets outcome model parameters, while the indirect approach corrects the weights estimated using the exposure model. We assess the performance of the proposed methods in simulations under different clinically plausible assumptions. The simulations demonstrate that measurement errors in time-dependent covariates may induce substantial bias in MSM estimators of causal effects of time-varying exposures, and that both proposed SIMEX approaches yield practically unbiased estimates in scenarios featuring low-to-moderate degrees of error. We illustrate the proposed approach in a simple analysis of the relationship between sustained virological response and liver fibrosis progression among persons infected with hepatitis C virus, while accounting for measurement error in γ-glutamyltransferase, using data collected in the Canadian Co-infection Cohort Study from 2003 to 2014.
[Mh] Termos MeSH primário: Viés
Simulação por Computador
Medidas em Epidemiologia
Projetos de Pesquisa Epidemiológica
Modelos Estatísticos
[Mh] Termos MeSH secundário: Canadá/epidemiologia
Coinfecção/epidemiologia
Fatores de Confusão (Epidemiologia)
Interpretação Estatística de Dados
Progressão da Doença
Feminino
Infecções por HIV/complicações
Infecções por HIV/tratamento farmacológico
Infecções por HIV/epidemiologia
Hepatite C/complicações
Hepatite C/tratamento farmacológico
Hepatite C/epidemiologia
Seres Humanos
Hepatopatias/epidemiologia
Hepatopatias/etiologia
Modelos Logísticos
Estudos Longitudinais
Masculino
Avaliação de Resultados (Cuidados de Saúde)/estatística & dados numéricos
Modelos de Riscos Proporcionais
Fatores de Tempo
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1706
[Cu] Atualização por classe:171116
[Lr] Data última revisão:
171116
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160716
[St] Status:MEDLINE
[do] DOI:10.1093/aje/kww068


  4 / 227 MEDLINE  
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[PMID]:27318069
[Au] Autor:Li EY; Tung CY; Chang SH
[Ad] Endereço:Department of Management Information Systems, National Chengchi University, Taipei City 11605, Taiwan, ROC. Electronic address: eli@nccu.edu.tw.
[Ti] Título:The wisdom of crowds in action: Forecasting epidemic diseases with a web-based prediction market system.
[So] Source:Int J Med Inform;92:35-43, 2016 Aug.
[Is] ISSN:1872-8243
[Cp] País de publicação:Ireland
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: The quest for an effective system capable of monitoring and predicting the trends of epidemic diseases is a critical issue for communities worldwide. With the prevalence of Internet access, more and more researchers today are using data from both search engines and social media to improve the prediction accuracy. In particular, a prediction market system (PMS) exploits the wisdom of crowds on the Internet to effectively accomplish relatively high accuracy. OBJECTIVE: This study presents the architecture of a PMS and demonstrates the matching mechanism of logarithmic market scoring rules. The system was implemented to predict infectious diseases in Taiwan with the wisdom of crowds in order to improve the accuracy of epidemic forecasting. METHODS: The PMS architecture contains three design components: database clusters, market engine, and Web applications. The system accumulated knowledge from 126 health professionals for 31 weeks to predict five disease indicators: the confirmed cases of dengue fever, the confirmed cases of severe and complicated influenza, the rate of enterovirus infections, the rate of influenza-like illnesses, and the confirmed cases of severe and complicated enterovirus infection. RESULTS: Based on the winning ratio, the PMS predicts the trends of three out of five disease indicators more accurately than does the existing system that uses the five-year average values of historical data for the same weeks. In addition, the PMS with the matching mechanism of logarithmic market scoring rules is easy to understand for health professionals and applicable to predict all the five disease indicators. CONCLUSIONS: The PMS architecture of this study affords organizations and individuals to implement it for various purposes in our society. The system can continuously update the data and improve prediction accuracy in monitoring and forecasting the trends of epidemic diseases. Future researchers could replicate and apply the PMS demonstrated in this study to more infectious diseases and wider geographical areas, especially the under-developed countries across Asia and Africa.
[Mh] Termos MeSH primário: Epidemias/estatística & dados numéricos
Métodos Epidemiológicos
Infecção/epidemiologia
Internet
[Mh] Termos MeSH secundário: Animais
Medidas em Epidemiologia
Previsões
Seres Humanos
Modelos Estatísticos
Mídias Sociais
Taiwan/epidemiologia
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1702
[Cu] Atualização por classe:170215
[Lr] Data última revisão:
170215
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160619
[St] Status:MEDLINE


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[PMID]:27278157
[Au] Autor:Haussmann HJ; Fariss MW
[Ad] Endereço:a Toxicology Consultant , Roesrath , Germany ;
[Ti] Título:Comprehensive review of epidemiological and animal studies on the potential carcinogenic effects of nicotine per se.
[So] Source:Crit Rev Toxicol;46(8):701-34, 2016 Sep.
[Is] ISSN:1547-6898
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:The effects of long-term use of nicotine per se on cancer risk, in the absence of tobacco extract or smoke, are not clearly understood. This review evaluates the strength of published scientific evidence, in both epidemiological and animal studies, for the potential carcinogenic effects of nicotine per se; that is to act as a complete carcinogen or as a modulator of carcinogenesis. For human studies, there appears to be inadequate evidence for an association between nicotine exposure and the presence of or lack of a carcinogenic effect due to the limited information available. In animal studies, limited evidence suggests an association between long-term nicotine exposure and a lack of a complete carcinogenic effect. Conclusive studies using current bioassay guidelines, however, are missing. In studies using chemical/physical carcinogens or transgenic models, there appears to be inadequate evidence for an association between nicotine exposure and the presence of or lack of a modulating (stimulating) effect on carcinogenesis. This is primarily due to the large number of conflicting studies. In contrast, a majority of studies provides sufficient evidence for an association between nicotine exposure and enhanced carcinogenesis of cancer cells inoculated in mice. This modulating effect was especially prominent in immunocompromized mice. Overall, taking the human and animal studies into consideration, there appears to be inadequate evidence to conclude that nicotine per se does or does not cause or modulate carcinogenesis in humans. This conclusion is in agreement with the recent US Surgeon General's 2014 report on the health consequences of nicotine exposure.
[Mh] Termos MeSH primário: Carcinógenos/toxicidade
Nicotina/toxicidade
[Mh] Termos MeSH secundário: Animais
Medidas em Epidemiologia
Seres Humanos
Modelos Animais
[Pt] Tipo de publicação:JOURNAL ARTICLE; REVIEW
[Nm] Nome de substância:
0 (Carcinogens); 6M3C89ZY6R (Nicotine)
[Em] Mês de entrada:1708
[Cu] Atualização por classe:170824
[Lr] Data última revisão:
170824
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160610
[St] Status:MEDLINE
[do] DOI:10.1080/10408444.2016.1182116


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[PMID]:26822991
[Au] Autor:Hosseinpoor AR; Bergen N; Barros AJ; Wong KL; Boerma T; Victora CG
[Ad] Endereço:Department of Information, Evidence and Research, World Health Organization, Geneva, Switzerland. hosseinpoora@who.int.
[Ti] Título:Monitoring subnational regional inequalities in health: measurement approaches and challenges.
[So] Source:Int J Equity Health;15:18, 2016 Jan 28.
[Is] ISSN:1475-9276
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Monitoring inequalities based on subnational regions is a useful practice to unmask geographical differences in health, and deploy targeted, equity-oriented interventions. Our objective is to describe, compare and contrast current methods of measuring subnational regional inequality. We apply a selection of summary measures to empirical data from four low- or middle-income countries to highlight the characteristics and overall performance of the different measures. METHODS: We use data from Demographic and Health Surveys conducted in Bangladesh, Egypt, Ghana and Zimbabwe to calculate subnational regional inequality estimates for reproductive, maternal, newborn, and child health services generated from 11 summary measures: pairwise measures included high to low absolute difference, high to low relative difference, and high to low ratio; complex measures included population attributable risk, weighted variance, absolute weighted mean difference from overall mean, index of dissimilarity, Theil index, population attributable risk percentage, coefficient of variation, and relative weighted mean difference from overall mean. Four of these summary measures (high to low absolute difference, high to low ratio, absolute weighted mean difference from overall mean, and relative weighted mean difference from overall mean) were selected to compare their performance in measuring trend over time in inequality for one health indicator. RESULTS: Overall, the 11 different measures were more remarkable for their similarities than for their differences. Pairwise measures tended to support the same conclusions as complex summary measures-that is, by identifying same best and worst coverage indicators in each country and indicating similar time trends. Complex measures may be useful to illustrate more nuanced results in countries with a great number of subnational regions. CONCLUSIONS: When pairwise and complex measures lead to the same conclusions about the state of subnational regional inequality, pairwise measures may be sufficient for reporting inequality. In cases where complex measures are required, mean difference from mean measures can be easily communicated to non-technical audiences.
[Mh] Termos MeSH primário: Benchmarking
Países em Desenvolvimento/estatística & dados numéricos
Medidas em Epidemiologia
Disparidades nos Níveis de Saúde
[Mh] Termos MeSH secundário: Bangladesh/epidemiologia
Serviços de Saúde da Criança/economia
Serviços de Saúde da Criança/estatística & dados numéricos
Países em Desenvolvimento/economia
Egito/epidemiologia
Gana/epidemiologia
Inquéritos Epidemiológicos
Seres Humanos
Renda/estatística & dados numéricos
Renda/tendências
Lactente
Mortalidade Infantil/tendências
Serviços de Saúde Materna/economia
Serviços de Saúde Materna/estatística & dados numéricos
Fatores Socioeconômicos
Zimbábue/epidemiologia
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1608
[Cu] Atualização por classe:170220
[Lr] Data última revisão:
170220
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160130
[St] Status:MEDLINE
[do] DOI:10.1186/s12939-016-0307-y


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[PMID]:26304838
[Au] Autor:Simons MJ
[Ad] Endereço:Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, Sheffield, United Kingdom. Electronic address: mirresimons@gmail.com.
[Ti] Título:Questioning causal involvement of telomeres in aging.
[So] Source:Ageing Res Rev;24(Pt B):191-6, 2015 Nov.
[Is] ISSN:1872-9649
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Multiple studies have demonstrated that telomere length predicts mortality and that telomeres shorten with age. Although rarely acknowledged these associations do not dictate causality. I review telomerase knockout and overexpression studies and find little support that telomeres cause aging. In addition, the causality hypothesis assumes that there is a critical telomere length at which senescence is induced. This generates the prediction that variance in telomere length decreases with age. In contrast, using meta-analysis of human data, I find no such decline. Inferring the causal involvement of telomeres in aging from current knowledge is therefore speculative and could hinder scientific progress.
[Mh] Termos MeSH primário: Envelhecimento/genética
Homeostase do Telômero/fisiologia
Encurtamento do Telômero/fisiologia
[Mh] Termos MeSH secundário: Causalidade
Medidas em Epidemiologia
Seres Humanos
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T; REVIEW
[Em] Mês de entrada:1612
[Cu] Atualização por classe:161230
[Lr] Data última revisão:
161230
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:150826
[St] Status:MEDLINE


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[PMID]:25674728
[Au] Autor:VanderWeele TJ; Tchetgen Tchetgen EJ
[Ad] Endereço:Departments of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA, tvanderw@hsph.harvard.edu.
[Ti] Título:Alternative decompositions for attributing effects to interactions.
[So] Source:Epidemiology;26(3):e32-4, 2015 May.
[Is] ISSN:1531-5487
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Causalidade
Modelos Teóricos
[Mh] Termos MeSH secundário: Interpretação Estatística de Dados
Medidas em Epidemiologia
Seres Humanos
Medição de Risco
[Pt] Tipo de publicação:LETTER; RESEARCH SUPPORT, N.I.H., EXTRAMURAL
[Em] Mês de entrada:1601
[Cu] Atualização por classe:161019
[Lr] Data última revisão:
161019
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:150213
[St] Status:MEDLINE
[do] DOI:10.1097/EDE.0000000000000263


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[PMID]:25622207
[Au] Autor:Swart E; Gothe H; Geyer S; Jaunzeme J; Maier B; Grobe TG; Ihle P; German Society for Social Medicine and Prevention; German Society for Epidemiology
[Ad] Endereço:Institut für Sozialmedizin und Gesundheitsökonomie, Med. Fakultät, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
[Ti] Título:[Good Practice of Secondary Data Analysis (GPS): guidelines and recommendations].
[Ti] Título:Gute Praxis Sekundärdatenanalyse (GPS): Leitlinien und Empfehlungen..
[So] Source:Gesundheitswesen;77(2):120-6, 2015 Feb.
[Is] ISSN:1439-4421
[Cp] País de publicação:Germany
[La] Idioma:ger
[Ab] Resumo:In 2005, the Working Group for the Survey and Utilisation of Secondary Data (AGENS) of the German Society for Social Medicine and Prevention (DGSMP) and the German Society for Epidemiology (DGEpi) first published "Good Practice in Secondary Data Analysis (GPS)" formulating a standard for conducting secondary data analyses. GPS is intended as a guide for planning and conducting analyses and can provide a basis for contracts between data owners. The domain of these guidelines does not only include data routinely gathered by statutory health insurance funds and further statutory social insurance funds, but all forms of secondary data. The 11 guidelines range from ethical principles and study planning through quality assurance measures and data preparation to data privacy, contractual conditions and responsible communication of analytical results. They are complemented by explanations and practical assistance in the form of recommendations. GPS targets all persons directing their attention to secondary data, their analysis and interpretation from a scientific point of view and by employing scientific methods. This includes data owners. Furthermore, GPS is suitable to assess scientific publications regarding their quality by authors, referees and readers. In 2008, the first version of GPS was evaluated and revised by members of AGENS and the Epidemiological Methods Working Group of DGEpi, DGSMP and GMDS including other epidemiological experts and had then been accredited as implementation regulations of Good Epidemiological Practice (GEP). Since 2012, this third version of GPS is on hand and available for downloading from the DGEpi website at no charge. Especially linguistic specifications have been integrated into the current revision; its internal consistency was increased. With regards to contents, further recommendations concerning the guideline on data privacy have been added. On the basis of future developments in science and data privacy, further revisions will follow.
[Mh] Termos MeSH primário: Benchmarking/normas
Ensaios Clínicos como Assunto/normas
Interpretação Estatística de Dados
Medidas em Epidemiologia
Métodos Epidemiológicos
Garantia da Qualidade dos Cuidados de Saúde/normas
[Mh] Termos MeSH secundário: Epidemiologia/normas
Alemanha
Guias de Prática Clínica como Assunto
[Pt] Tipo de publicação:ENGLISH ABSTRACT; JOURNAL ARTICLE; PRACTICE GUIDELINE
[Em] Mês de entrada:1601
[Cu] Atualização por classe:150226
[Lr] Data última revisão:
150226
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:150127
[St] Status:MEDLINE
[do] DOI:10.1055/s-0034-1396815


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[PMID]:25621443
[Au] Autor:Wall P; Kassinger C
[Ad] Endereço:National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
[Ti] Título:Multiple measures on the Environmental Public Health Tracking Network.
[So] Source:J Public Health Manag Pract;21 Suppl 2:S36-43, 2015 Mar-Apr.
[Is] ISSN:1550-5022
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:SETTING: The Centers for Disease Control and Prevention's National Environmental Public Health Tracking Program is leading an initiative to build a National Environmental Public Health Tracking Network (Tracking Network) that integrates data into a network of standardized electronic data to provide valid scientific information on environmental exposures and adverse health conditions, as well as spatial and temporal relations between them. The Web-based Tracking Network is designed for different audiences including government, the academic community, and the public. A primary goal of the Tracking Network is to allow the exploration of data on health effects, environments, and demographics. The wide variety of data types along with stratifications present a complex problem when developing system functionality to query and display disparate data simultaneously in a comparable way using charts, tables, and maps. OBJECTIVE: While the ability to query and display data that span across geographies and multiple time periods for a single type of data has been the main feature set of the Tracking Network, allowing the same for multiple data types is needed to enable users to explore trends and possible associations among health and environmental data. METHODS: As a first step, a multidisciplinary team was formed to address complex issues related to developing the ability to view multiple measures on the Tracking Network. The team then iterated through steps involving requirements gathering, the segmentation of the requirements into functional areas, submission of proposals to address those functional areas, and finally evaluation of the proposals to address functional areas. CONCLUSIONS: Adding the ability to view multiple measures is an important step to improve Tracking Network users' exploration of the environmental health status of their communities. With this capability, public health practitioners and other users can formulate hypotheses, analyze trends, and explore possible relationships across a wide variety of environmental and health information.
[Mh] Termos MeSH primário: Saúde Ambiental/instrumentação
Saúde Pública/instrumentação
[Mh] Termos MeSH secundário: Centers for Disease Control and Prevention (U.S.)/organização & administração
Coleta de Dados/instrumentação
Coleta de Dados/métodos
Saúde Ambiental/métodos
Medidas em Epidemiologia
Seres Humanos
Sistemas de Informação/instrumentação
Vigilância da População/métodos
Saúde Pública/métodos
Estados Unidos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1611
[Cu] Atualização por classe:161230
[Lr] Data última revisão:
161230
[Sb] Subgrupo de revista:T
[Da] Data de entrada para processamento:150127
[St] Status:MEDLINE
[do] DOI:10.1097/PHH.0000000000000185



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