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1.
Zhonghua Liu Xing Bing Xue Za Zhi ; 40(8): 930-935, 2019 Aug 10.
Artigo em Chinês | MEDLINE | ID: mdl-31484256

RESUMO

Objective: To explore the spatial-temporal distribution and epidemic characteristics of hemorrhagic fever with renal syndrome (HFRS) in Hebei province from 2005 to 2016. Methods: Records of HFRS cases reported from each county in Hebei during January 2005 to December 2016 were collected from National Notifiable Disease Surveillance System (NNDSS). Global and local spatial association statistics were used to measure the spatial autocorrelation and software GeoDa 1.2.0. Software SaTScan 9.4.1 was used to analyze spatiotemporal clusters. Software ArcGIS 10.2 was used to visualize the yearly scan results. Results: In Hebei province, a total of 8 437 human HFRS cases reported from 170 counties with an annual incidence rate of 0.99/100 000 population during 2005-2016. The peak incidence season was spring. Global spatial autocorrelation analysis on the incidence of HFRS at county-level showed that the value of Moran's I were all above 0 (P<0.05), indicating that the significant spatial cluster. The result of local indicators on spatial association (LISA) analysis revealed that identified hot spots were mainly in northeastern area, while cold spots were found in some counties of central and southern areas. Spatial-temporal scan detected that the primary cluster of HFRS incidence was mainly distributed in Qinhuangdao city and Tangshan city, including 11 counties (city/district): Beidaihe district, Haigang district, Funing district, Shanhaiguan district, Changli county, Lulong county and Qinglong Manchu autonomous county in Qinhuangdao city, and Qian'an city, Laoting county, Luanzhou city and Luannan county in Tangshan city (RR=39.64, P<0.001), during January-July in 2005. Conclusions: There were significant spatial-temporal cluster of HFRS in Hebei from 2005 to 2016. The cluster areas of HFRS were mainly in northeastern Hebei, it is necessary to strengthen the prevention and control programs of HFRS in these areas.


Assuntos
Notificação de Doenças/estatística & dados numéricos , Vírus Hantaan , Febre Hemorrágica com Síndrome Renal/epidemiologia , Vigilância da População , China/epidemiologia , Cidades , Análise por Conglomerados , Humanos , Incidência , Estações do Ano , Análise Espacial , Análise Espaço-Temporal
2.
Zhonghua Liu Xing Bing Xue Za Zhi ; 40(8): 947-952, 2019 Aug 10.
Artigo em Chinês | MEDLINE | ID: mdl-31484259

RESUMO

Objective: To analyze the epidemiological and spatial-temporal distribution of Brucellosis, epidemic encephalitis B and hemorrhagic fever with renal syndrome (HFRS) in Gansu province during 2014-2018 so as to provide evidence for the prevention and control of those diseases. Methods: A database was established in Gansu province from 2014 to 2018, using the geographical information system. A spatial distribution map was drawn, with trend analysis and space-time clustering used to study the 3-dimention of the diseases, by using both ArcGIS 10.5 and SaTScan 9.6 softwares. Results: Results from the trend surface analysis showed that the incidence of Brucellosis decreased gradually from north to south parts while the U type curve could reflect the distribution from the east to the west areas. Incidence of epidemic encephalitis B decreased significantly from south to north areas in the province, with incidence higher in the eastern than in the mid-west region. Difference on the incidence of HFRS was not significantly visible in the eastern and western regions, while the incidence was slightly higher in the southern than the northern parts of the province. Spatial and space-time clustering did exist among the 3 diseases in Gansu from 2014 to 2018. The areas with clusters of Brucellosis appeared in the eastern parts during 2014-2015, including 19 counties. The areas with secondary clusters of Brucellosis were seen in the Hexi district, including 4 counties, during 2017-2018. The areas with high incidence of epidemic encephalitis B were clustered in the middle and southeast areas, including 32 counties, during 2017-2018. Areas with most clusters of HFRS appeared in Min county of Dingxi city in 2018, with the areas of secondary clusters in 8 counties of the eastern areas in 2018. Conclusions: The overall incidence rates of the 3 natural focus diseases were in a upward trend and showing obvious characteristics on spatial clustering. According to the distributive characteristics, effective measures should be developed accordingly.


Assuntos
Brucelose/epidemiologia , Notificação de Doenças/estatística & dados numéricos , Encefalite por Arbovirus/epidemiologia , Febre Hemorrágica com Síndrome Renal/epidemiologia , China/epidemiologia , Cidades , Análise por Conglomerados , Monitoramento Epidemiológico , Humanos , Incidência , Conglomerados Espaço-Temporais , Análise Espacial , Análise Espaço-Temporal
3.
Artigo em Japonês | MEDLINE | ID: mdl-31527355

RESUMO

OBJECTIVE: The Organisation for Economic Co-operation and Development (OECD) pointed out the deterioration of the performance of health systems (performance) in Japan. To correct this, we evaluated the performances in different prefectures. METHODS: By the OECD method, we set 27 indicators concerning "health status (HS)", " risk factors (RFs)", " access to care (AC)", " quality of care (QC)", and " health care resources (HRs)". Next, the relative value (RV, ±4 standard deviation) from the average value of each indicator in each prefecture was obtained. On the basis of this RV, the prefectures were divided into A, B, and C by cluster analysis. Then, the 27 indicators of the three groups were subjected to multiple comparison tests and the performances were evaluated. RESULTS: A included Hokkaido, Ishikawa, Kyoto, Shimane, Okayama, Hiroshima, Yamaguchi, Tokushima, Kagawa, Ehime, Kochi, Fukuoka, Saga, Nagasaki, Kumamoto, Oita, Miyazaki, Kagoshima, and Okinawa, B included Aomori, Iwate, Akita, Fukushima, Ibaraki, Tochigi, Saitama, Tokyo, Osaka, and Wakayama, C included Miyagi, Yamagata, Gunma, Chiba, Kanagawa, Niigata, Toyama, Fukui, Yamanashi, Nagano, Gifu, Shizuoka, Aichi, Mie, Shiga, Hyogo, Nara, and Tottori. The multiple comparison test results showed that HS and RFs were not significantly different between A and C. In A, AC and QC were poor, but HRs were excessive, and the local allocation tax was high. RFs, AC, QC, HRs, and the local allocation taxes were not significantly different between B and C, but HS was poor in B. CONCLUSIONS: The performance of health systems was deteriorating in the 19 prefectures included in A, and correction is necessary in these prefectures.


Assuntos
Análise por Conglomerados , Planejamento em Saúde Comunitária/estatística & dados numéricos , Organização para a Cooperação e Desenvolvimento Econômico/estatística & dados numéricos , Recursos em Saúde/estatística & dados numéricos , Acesso aos Serviços de Saúde/estatística & dados numéricos , Nível de Saúde , Humanos , Japão , Qualidade da Assistência à Saúde/estatística & dados numéricos , Fatores de Risco
4.
Am J Occup Ther ; 73(5): 7305205050p1-7305205050p9, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31484029

RESUMO

IMPORTANCE: Adults receiving occupational therapy in inpatient rehabilitation are a heterogeneous population with differing needs, outcomes, and rehabilitation processes. Outcome studies based on what works for all clients may obscure the needs of population subgroups who benefit unequally from rehabilitation services. OBJECTIVE: To identify subgroups on the basis of client satisfaction and progress in functional self-care among a diverse rehabilitation population and to understand subgroup differences in occupational therapy and rehabilitation processes and client discharge status. DESIGN: Using an existing dataset, we used K-means cluster analysis of demographics, status at admission, and the outcomes of satisfaction and change in self-care to identify five homogeneous outcome groups. Occupational therapy and rehabilitation processes and discharge status were compared across subgroups. SETTING: Inpatient rehabilitation hospital. PARTICIPANTS: The dataset included 1,099 inpatients age 18 yr and older who received occupational therapy over a 27-mo period. MEASURES: Admission measures included the Inpatient Rehabilitation Facility-Patient Assessment Instrument and self-care items of the FIM™. The Satisfaction with Continuum of Care-Revised was administered after discharge. RESULTS: Five subgroups showed statistically different patterns of medical complications, functional self-care, rates of progress, satisfaction with intervention, and course of treatment. The profile of each group suggests differing therapeutic needs. Although all groups made significant gains in functional self-care, two groups continued to need physical assistance at discharge. CONCLUSION: and Relevance: Cluster analysis proved useful in segmenting a typical heterogeneous rehabilitation population into more homogeneous subgroups to enhance understanding of clinical needs and to potentially increase the potency of outcomes research. WHAT THIS ARTICLE ADDS: This research identified subgroups within a typical population of rehabilitation clients receiving occupational therapy and identified their unique needs and outcomes using cluster analysis techniques.


Assuntos
Terapia Ocupacional , Adulto , Análise por Conglomerados , Hospitalização , Humanos , Pacientes Internados/estatística & dados numéricos , Avaliação de Resultados (Cuidados de Saúde) , Centros de Reabilitação , Resultado do Tratamento
5.
J Environ Radioact ; 208-209: 106044, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31521882

RESUMO

This paper presents a geostatistical simulation approach to not only map the county-level indoor radon concentration (IRC) distributions in South Korea, but also quantify the uncertainty that can be used as decision-supporting information. For county-level IRC mapping in South Korea, environmental factors including geology, radium concentration in surface soil, gravel content in subsoil, and fault line density, which are known to be associated with the source and migration of radon gas, were incorporated into IRC measurements using multi-Gaussian kriging with local means. These four environmental factors could account for about 36% of the variability of noise-filtered IRCs, implying that regional variations of IRCs were affected by these factors. Sequential Gaussian simulation was then applied to generate alternative realizations of county-level IRC distributions. By summarizing the multiple simulation results, we identified some counties that lay on the great limestone series showed elevated IRCs. In addition, there were some counties in which the proportion of grids exceeding the recommended level was high but the uncertainty was also large according to the analysis of several uncertainty measures, which indicates that additional sampling is required for these counties. From the local cluster analysis in conjunction with simulation results, we found that the counties with higher levels of IRC belonged to the statistically significant clusters of high values, and these counties should be the prime targets for radon management and in-depth survey. The geographical distributions of IRC and uncertainty measures presented in this study provide guidance for effective radon management if they are consistently combined with both future IRC measurements and a geogenic radon potential map.


Assuntos
Poluentes Radioativos do Ar/análise , Poluição do Ar em Ambientes Fechados/estatística & dados numéricos , Monitoramento de Radiação , Radônio/análise , Poluição do Ar em Ambientes Fechados/análise , Contaminação Radioativa do Ar/estatística & dados numéricos , Análise por Conglomerados , República da Coreia , Análise Espacial
6.
World J Microbiol Biotechnol ; 35(9): 132, 2019 Aug 20.
Artigo em Inglês | MEDLINE | ID: mdl-31432260

RESUMO

This paper aims to characterize halophilic bacteria inhabiting Algerian Saline Ecosystems (Sebkha and Chott) located in arid and semi-arid ecoclimate zones (Northeastern Algeria). In addition, screening of enzymatic activities, heavy metal tolerance and antagonistic potential against phytopathogenic fungi were tested. A total of 74 bacterial isolates were screened and phylogenetically characterized using 16S rRNA gene sequencing. The results showed a heterogeneous group of microorganisms falling within two major phyla, 52 strains belonging to Firmicutes (70.2%) and 22 strains (30.8%) of γ-Proteobacteria. In terms of main genera present, the isolates were belonging to Bacillus, Halobacillus, Lentibacillus, Oceanobacillus, Paraliobacillus, Planomicrobium, Salicola, Terribacillus, Thalassobacillus, Salibacterium, Salinicoccus, Virgibacillus, Halomonas, Halovibrio, and Idiomarina. Most of the enzymes producers were related to Bacillus, Halobacillus, and Virgibacillus genera and mainly active at 10% of growing salt concentrations. Furthermore, amylase, esterase, gelatinase, and nuclease activities ranked in the first place within the common hydrolytic enzymes. Overall, the isolates showed high minimal inhibitory concentration values (MIC) for Ni2+ and Cu2+ (0.625 to 5 mM) compared to Cd2+ (0.1 to 2 mM) and Zn2+ (0.156 to 2 mM). Moreover, ten isolated strains belonging to Bacillus, Virgibacillus and Halomonas genera, displayed high activity against the pathogenic fungi (Botrytis cinerea, Fusarium oxyporum, F. verticillioides and Phytophthora capsici). This study on halophilic bacteria of unexplored saline niches provides potential sources of biocatalysts and novel bioactive metabolites as well as promising candidates of biocontrol agents and eco-friendly tools for heavy metal bioremediation.


Assuntos
Antibiose , Bactérias/isolamento & purificação , Bactérias/metabolismo , Biota , Microbiologia Ambiental , Salinidade , Argélia , Bactérias/classificação , Bactérias/genética , Análise por Conglomerados , DNA Bacteriano/química , DNA Bacteriano/genética , DNA Ribossômico/química , DNA Ribossômico/genética , Fungos/crescimento & desenvolvimento , Hidrolases/análise , Metais Pesados/metabolismo , Metais Pesados/toxicidade , Testes de Sensibilidade Microbiana , Filogenia , RNA Ribossômico 16S/genética , Análise de Sequência de DNA
7.
Stud Health Technol Inform ; 264: 1332-1336, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31438142

RESUMO

Clinical paper searching is a major task for clinical researchers to collect authoritative and up-to-date evidences to support their research works and clinical practices. Currently, this task needs huge amount of labor work. Researchers usually spend a lot of time searching on the online repository and iterating many times to get the final paper list. Systematic review is a special case, in which the paper searching process is a critical step. To address this challenge, this paper introduces a method to streamline the iterative paper searching process. It automatically selects the most probably matched papers, and then generates new search strategy. All the intermediate results are visualized based on the paper citation graph. It assembles technologies such as PageRank and Topic-based clustering to accelerate the paper searching tasks. The precision, recall, and execution time of the proposed method are then evaluated by comparing with published systematic reviews.


Assuntos
Pesquisadores , Análise por Conglomerados , Humanos
8.
Pan Afr Med J ; 33(Suppl 2): 10, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31402968

RESUMO

Introduction: in spite of the efforts and resources committed by the division of infectious disease and epidemiology (DIDE) of the national public health institute of Liberia (NPHIL)/Ministry of health to strengthening integrated disease surveillance and response (IDSR) across the country, quality data management system remains a challenge to the Liberia NPHIL/MoH (Ministry of health), with incomplete and inconsistent data constantly being reported at different levels of the surveillance system. As part of the monitoring and evaluation strategy for IDSR continuous improvement, data quality assessment (DQA) of the IDSR system to identify successes and gaps in the disease surveillance information system (DSIS) with the aim of ensuring data accuracy, reliability and credibility of generated data at all levels of the health system; and to inform an operational plan to address data quality needs for IDSR activities is required. Methods: multi-stage cluster sampling that included stage 1: simple random sample (SRS) of five counties, stage 2: simple random sample of two districts and stage 3: simple random sample of three health facilities was employed during the study pilot assessment done in Montserrado County with Liberia institute of bio medical research (LIBR) inclusive. A total of thirty (30) facilities was targeted, twenty nine (29) of the facilities were successfully audited: one hospital, two health centers, twenty clinics and respondents included: health facility surveillance focal persons (HFSFP), zonal surveillance officers (ZSOs), district surveillance officers (DSOs) and County surveillance officers (CSOs). Results: the assessment revealed that data use is limited to risk communication and sensitization, no examples of use of data for prioritization or decision making at the subnational level. The findings indicated the following: 23% (7/29) of health facilities having dedicated phone for reporting, 20% (6/29) reported no cell phone network, 17% (5/29) reported daily access to internet, 56.6% (17/29) reported a consistent supply of electricity, and no facility reported access to functional laptop. It was also established that 40% of health facilities have experienced a stock out of laboratory specimens packaging supplies in the past year. About half of the surveyed health facilities delivered specimens through riders and were assisted by the DSOs. There was a large variety in the reported packaging process, with many staff unable to give clear processes. The findings during the exercise also indicated that 91% of health facility staff were mentored on data quality check and data management including the importance of the timeliness and completeness of reporting through supportive supervision and mentorship; 65% of the health facility assessed received supervision on IDSR core performance indicator; and 58% of the health facility officer in charge gave feedback to the community level. Conclusion: public health is a data-intensive field which needs high-quality data and authoritative information to support public health assessment, decision-making and to assure the health of communities. Data quality assessment is important for public health. In this review completeness, accuracy, and timeliness were the three most-assessed attributes. Quantitative data quality assessment primarily used descriptive surveys and data audits, while qualitative data quality assessment methods include primarily interviews, questionnaires administration, documentation reviews and field observations. We found that data-use and data-process have not been given adequate attention, although they were equally important factors which determine the quality of data. Other limitations of the previous studies were inconsistency in the definition of the attributes of data quality, failure to address data users' concerns and a lack of triangulation of mixed methods for data quality assessment. The reliability and validity of the data quality assessment were rarely reported. These gaps suggest that in the future, data quality assessment for public health needs to consider equally the three dimensions of data quality, data use and data process. Measuring the perceptions of end users or consumers towards data quality will enrich our understanding of data quality issues. Data use is limited to risk communication and sensitization, no examples of use of data for prioritization or decision making at the sub national level.


Assuntos
Controle de Doenças Transmissíveis/métodos , Doenças Transmissíveis/epidemiologia , Vigilância em Saúde Pública/métodos , Saúde Pública , Análise por Conglomerados , Comunicação , Confiabilidade dos Dados , Instalações de Saúde/estatística & dados numéricos , Humanos , Libéria/epidemiologia , Projetos Piloto , Reprodutibilidade dos Testes , Risco , Inquéritos e Questionários
9.
Stud Health Technol Inform ; 266: 1-6, 2019 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-31397293

RESUMO

Identifying those patient groups, who have unwanted outcomes, in the early stages is crucial to providing the most appropriate level of care. In this study, we intend to find distinctive patterns in health service use (HSU) of transport accident injured patients within the first week post-injury. Aiming those patterns that are associated with the outcome of interest. To recognize these patterns, we propose a multi-objective optimization model that minimizes the k-medians cost function and regression error simultaneously. Thus, we use a semi-supervised clustering approach to identify patient groups based on HSU patterns and their association with total cost. To solve the optimization problem, we introduce an evolutionary algorithm using stochastic gradient descent and Pareto optimal solutions. As a result, we find the best optimal clusters by minimizing both objective functions. The results show that the proposed semi-supervised approach identifies distinct groups of HSUs and contributes to predict total cost. Also, the experiments prove the performance of the multi-objective approach in comparison with single- objective approaches.


Assuntos
Acidentes , Algoritmos , Análise por Conglomerados , Serviços de Saúde , Humanos , Medição de Risco
10.
Stud Health Technol Inform ; 264: 158-162, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31437905

RESUMO

Emergency department (ED) overcrowding has been a pain point in hospitals across the globe. "Frequent flyers," who visited the ED at a much higher rate than average, account for almost one third of ED visits even though they represent only a small proportion of all ED patients. In this study, we used data-mining methods to cluster ED frequent flyers at a large academic medical center in the US. The objective was to identify distinct types of frequent flyers, and the common characteristics associated with each type. The results show that the frequent flyers at the ED have three subgroups each exhibiting distinct characteristics: (1) the elderly with chronic health conditions, (2) middle-aged males with unhealthy behavior, and (3) adult females who are generally healthy. These findings may inform targeted interventional strategies for patients of each subgroup, who likely have distinct reasons for visiting the ED frequently, to reduce ED overcrowding.


Assuntos
Centros Médicos Acadêmicos , Serviço Hospitalar de Emergência , Análise por Conglomerados , Feminino , Humanos , Masculino , Dor
11.
Environ Monit Assess ; 191(9): 539, 2019 Aug 03.
Artigo em Inglês | MEDLINE | ID: mdl-31377943

RESUMO

The externalities generated by disorderly urbanization and lack of proper planning becomes one of the main factors that must be considered in water resource management. To address the multiple uses of water and avoid conflicts among users, decision-making must integrate these factors into quality and quantity aspects. The water quality index (WQI), using the correlation matrix and the multivariate principal component analysis (PCA) and cluster analysis (CA) techniques were used to analyze the surface water quality, considering urban, rural, and industrial regions in an integrated way, even with data gaps. The results showed that the main parameters that impacted the water quality index were dissolved oxygen, elevation, and total phosphorus. The results of PCA analysis showed 86.25% of the variance in the data set, using physicochemical and topographic parameters. In the cluster analysis, the dissolved oxygen, elevation, total coliforms, E. coli, total phosphorus, total nitrogen, and temperature parameters showed a significant correlation between the data's dimensions. In the industrial region, the characteristic parameter was the organic load, in the rural region were nutrients (phosphorus and nitrogen), and in the urban region was E. coli (an indicator of the pathogenic organisms' presence). In the classification of the samples, there was a predominance of "Good" quality, however, samples classified as "Acceptable" and "Bad" occurred during the winter and spring months (dry season) in the rural and industrial regions. Water pollution is linked to inadequate land use and occupation and population density in certain regions without access to sanitation services.


Assuntos
Monitoramento Ambiental , Escherichia coli/crescimento & desenvolvimento , Poluição da Água/análise , Qualidade da Água/normas , Recursos Hídricos , Brasil , Análise por Conglomerados , Análise Multivariada , Nitrogênio/análise , Fósforo/análise , Análise de Componente Principal , Rios , Estações do Ano , Temperatura Ambiente , Urbanização
12.
Stud Health Technol Inform ; 264: 457-461, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31437965

RESUMO

Cluster analysis aims at separating patients into phenotypically heterogenous groups and defining therapeutically homogeneous patient subclasses. It is an important approach in data-driven disease classification and subtyping. Acute coronary syndrome (ACS) is a syndrome due to sudden decrease of coronary artery blood flow, where disease classification would help to inform therapeutic strategies and provide prognostic insights. Here we conducted an outcome-driven cluster analysis of ACS patients, which jointly considers treatment and patient outcome as indicators for patient state. Multi-task neural network with attention was used as a modeling framework, including learning of the patient state, cluster analysis, and feature importance profiling. Seven patient clusters were discovered. The clusters have different characteristics, as well as different risk profiles to the outcome of in-hospital major adverse cardiac events. The results demonstrate cluster analysis using outcome-driven multi-task neural network as promising for patient classification and subtyping.


Assuntos
Síndrome Coronariana Aguda , Atenção , Análise por Conglomerados , Humanos , Prognóstico
13.
Pan Afr Med J ; 33: 30, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31384345

RESUMO

Introduction: In Ghana, there is no data regarding physical activity habits and lipid profiles of students. Therefore, the aim of this study was to investigate the relationship between physical activities, Body Mass Index (BMI) and lipid profile of students in Ghana. Methods: Cluster and systematic sampling techniques were employed to recruit 120 students, aged 18 years and above. This cross-sectional study was carried out among students from the University of Ghana. Biochemical analysis was conducted analysing total cholesterol (TC), high density lipoprotein (HDL), low density lipoprotein (LDL) and triglycerides (TG) in serum samples. Anthropometry measurements were also taken and BMI calculated. The physical activities, undertaken over a 7-day period, by the students were assessed using the International Physical Activity Questionnaire (IPAQ). Results: 31.7% and 21.7% of the students were overweight and obese respectively. 61.5% of the obese students were engaged in high level physical activity as compared to 45.5% and 36.8% of the normal and overweight students, respectively. Normal weight students and overweight students showed significant differences in means of TC; [(4.56 ± 0.930 mmol/L) and (5.06 ± 0.93 mmol/L), respectively] and also between normal weight group (4.54 ± 0.93 mmol/L) and the obese students (5.24 ± 1.18 mmol/L). Significant correlations were also observed between TG, TC and BMI; and TC and TG, HDL and a strong correlation between LDL and TC (r=0.967). Conclusion: Strong correlations between BMI, physical activity and lipid profile indices among students in Ghana. Comprehensive efforts should be applied to reduce the incidence of CVDs among students.


Assuntos
Índice de Massa Corporal , Exercício/fisiologia , Lipídeos/sangue , Estudantes/estatística & dados numéricos , Adolescente , Adulto , Peso Corporal/fisiologia , Doenças Cardiovasculares/prevenção & controle , Análise por Conglomerados , Estudos Transversais , Feminino , Gana , Humanos , Masculino , Obesidade/epidemiologia , Sobrepeso/epidemiologia , Universidades , Adulto Jovem
14.
Stud Health Technol Inform ; 264: 1618-1619, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31438260

RESUMO

By the use of SPSS software and computer programs, this paper gives a co-word clustering analysis of the articles on education and management of childhood asthma worldwide published in the Web of Science before September 2018. Correlation and dissimilarity matrix and hierarchical clustering were constructed. Finally, 66 high-frequency keywords of 6147 papers were included, 9 hotspots in this field emerged by cluster analysis, which could provide some valuable information of hot research on this field.


Assuntos
Asma , Criança , Análise por Conglomerados , Humanos , Software
15.
Stud Health Technol Inform ; 264: 383-387, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31437950

RESUMO

Secondary analysis of electronic health records for clinical research faces significant challenges due to known data quality issues in health data observationally collected for clinical care and the data biases caused by standard healthcare processes. In this manuscript, we contribute methodology for data quality assessment by plotting domain-level (conditions (diagnoses), drugs, and procedures) aggregate statistics and concept-level temporal frequencies (i.e., annual prevalence rates of clinical concepts). We detect common temporal patterns in concept frequencies by normalizing and clustering annual concept frequencies using K-means clustering. We apply these methods to the Columbia University Irving Medical Center Observational Medical Outcomes Partnership database. The resulting domain-aggregate and cluster plots show a variety of patterns. We review the patterns found in the condition domain and investigate the processes that shape them. We find that these patterns suggest data quality issues influenced by system-wide factors that affect individual concept frequencies.


Assuntos
Confiabilidade dos Dados , Registros Eletrônicos de Saúde , Análise por Conglomerados , Bases de Dados Factuais , Assistência à Saúde
16.
Medicine (Baltimore) ; 98(31): e16686, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31374053

RESUMO

This study provided the baseline for establishing policies for community health promotion programs to propose the clusters of multiple health risk factors and identify the risks of laryngeal disorders according to the clusters by using the national level survey representing the South Korean population. This study targeted 5941 people who completed the 5th Korean National Health and Nutrition Examination Survey. The independent variables were age, sex, smoking, high-risk drinking, education level, occupation, household income, and self-reported voice problems. The identify cluster relationship with laryngeal disorders by conducting 2-way cluster analysis and multinomial logit analysis. The prevalence of laryngeal disorder was 6.7%. The results of analysis, 3 clusters were automatically extracted. Multinomial logistic regression analysis showed that sociodemographic factors, health risk behaviors, and health status clusters were significantly related to the risk of laryngeal disorders. The males who were smoking, high-risk drinking, college graduate and above, high income, and non-manual workers had a higher risk of laryngeal disorders than females who were non-smokers, non-drinkers, 60 years old and older, economically inactive, and high school graduate. The results of this study suggested that it may be effective to classify population according to sociodemographic and health behaviors and develop health education materials and health promotion program accordingly in order to prevent laryngeal disorders.


Assuntos
Comportamentos de Risco à Saúde , Doenças da Laringe/epidemiologia , Fatores Socioeconômicos , Adulto , Consumo de Bebidas Alcoólicas/epidemiologia , Análise por Conglomerados , Estudos Transversais , Feminino , Inquéritos Epidemiológicos , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Análise de Regressão , República da Coreia/epidemiologia , Fatores de Risco , Distribuição por Sexo , Fumar/epidemiologia
17.
BMC Bioinformatics ; 20(1): 418, 2019 Aug 13.
Artigo em Inglês | MEDLINE | ID: mdl-31409293

RESUMO

BACKGROUND: Standard RNAseq methods using bulk RNA and recent single-cell RNAseq methods use DNA barcodes to identify samples and cells, and the barcoded cDNAs are pooled into a library pool before high throughput sequencing. In cases of single-cell and low-input RNAseq methods, the library is further amplified by PCR after the pooling. Preparation of hundreds or more samples for a large study often requires multiple library pools. However, sometimes correlation between expression profiles among the libraries is low and batch effect biases make integration of data between library pools difficult. RESULTS: We investigated 166 technical replicates in 14 RNAseq libraries made using the STRT method. The patterns of the library biases differed by genes, and uneven library yields were associated with library biases. The former bias was corrected using the NBGLM-LBC algorithm, which we present in the current study. The latter bias could not be corrected directly, but could be solved by omitting libraries with particularly low yields. A simulation experiment suggested that the library bias correction using NBGLM-LBC requires a consistent sample layout. The NBGLM-LBC correction method was applied to an expression profile for a cohort study of childhood acute respiratory illness, and the library biases were resolved. CONCLUSIONS: The R source code for the library bias correction named NBGLM-LBC is available at https://shka.github.io/NBGLM-LBC and https://shka.bitbucket.io/NBGLM-LBC . This method is applicable to correct the library biases in various studies that use highly multiplexed sequencing-based profiling methods with a consistent sample layout with samples to be compared (e.g., "cases" and "controls") equally distributed in each library.


Assuntos
Biblioteca Gênica , Análise de Sequência de RNA/métodos , Transcriptoma , Linhagem Celular , Análise por Conglomerados , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Análise de Componente Principal , RNA/química , RNA/metabolismo , Interface Usuário-Computador
18.
World J Microbiol Biotechnol ; 35(7): 113, 2019 Jul 09.
Artigo em Inglês | MEDLINE | ID: mdl-31289918

RESUMO

Camellia taliensis (W. W. Smith) Melchior is a wild tea plant endemic from the west and southwest of Yunnan province of China to the north of Myanmar and is used commonly to produce tea by the local people of its growing areas. Its chemical constituents are closely related to those of C. sinensis var. assamica, a widely cultivated tea plant. In this study, the α diversity and phylogeny of endophytic fungi in the branches of C. taliensis were explored for the first time. A total of 160 fungal strains were obtained and grouped into 42 species from 29 genera, which were identified based on rDNA internal transcribed spacer sequence analysis. Diversity analysis showed that the endophytic fungal community of the branches of C. taliensis had high species richness S (42), Margalef index D' (8.0785), Shannon-Wiener index H' (2.8494), Simpson diversity index DS (0.8891), PIE index (0.8947) and evenness Pielou index J (0.7623) but a low dominant index λ (0.1109). By contrast, that in the branches of C. taliensis had abundant species and high species evenness. Diaporthe tectonigena, Acrocalymma sp. and Colletotrichum magnisporum were the dominant endophytic fungi. The phylogenetic tree was established by maximum parsimony analysis, and the 11 orders observed for endophytic fungi belonging to Ascomycota and Basidiomycota were grouped into 4 classes.


Assuntos
Camellia/microbiologia , Endófitos/classificação , Endófitos/isolamento & purificação , Fungos/classificação , Fungos/isolamento & purificação , Filogenia , Chá , Ascomicetos/classificação , Ascomicetos/genética , Ascomicetos/isolamento & purificação , Basidiomycota/classificação , Basidiomycota/genética , Basidiomycota/isolamento & purificação , Biodiversidade , China , Análise por Conglomerados , DNA Ribossômico/genética , Endófitos/genética , Fungos/genética , Mianmar , Análise de Sequência
19.
J Cancer Res Clin Oncol ; 145(9): 2383-2396, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31280346

RESUMO

PURPOSE: Breast cancer is one of the most common malignancies among females, and its prognosis is affected by a complex network of gene interactions. Weighted gene co-expression network analysis was used to construct free-scale gene co-expression networks and to identify potential biomarkers for breast cancer progression. METHODS: The gene expression profiles of GSE42568 were downloaded from the Gene Expression Omnibus database. RNA-sequencing data and clinical information of breast cancer from TCGA were used for validation. RESULTS: A total of ten modules were established by the average linkage hierarchical clustering. We identified 58 network hub genes in the significant module (R2 = 0.44) and 6 hub genes (AGO2, CDC20, CDCA5, MCM10, MYBL2, and TTK), which were significantly correlated with prognosis. Receiver-operating characteristic curve validated that the mRNA levels of these six genes exhibited excellent diagnostic efficiency in the test data set of GSE42568. RNA-sequencing data from TCGA showed that the expression levels of these six genes were higher in triple-negative tumors. One-way ANOVA suggested that these six genes were upregulated at more advanced stages. The results of independent sample t test indicated that MCM10 and TTK were associated with tumor size, and that AGO2, CDC20, CDCA5, MCM10, and MYBL2 were overexpressed in lymph-node positive breast cancer. CONCLUSIONS: AGO2, CDC20, CDCA5, MCM10, MYBL2, and TTK were identified as candidate biomarkers for further basic and clinical research on breast cancer based on co-expression analysis.


Assuntos
Biomarcadores Tumorais/genética , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/genética , Redes Reguladoras de Genes , Transcriptoma , Biomarcadores Tumorais/análise , Neoplasias da Mama/mortalidade , Neoplasias da Mama/patologia , Análise por Conglomerados , Progressão da Doença , Feminino , Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica , Redes Reguladoras de Genes/genética , Ensaios de Triagem em Larga Escala , Humanos , Análise em Microsséries , Prognóstico
20.
BMC Bioinformatics ; 20(Suppl 13): 384, 2019 Jul 24.
Artigo em Inglês | MEDLINE | ID: mdl-31337332

RESUMO

BACKGROUND: The development of next generation sequencer (NGS) and the analytical methods allowed the researchers to profile their samples more precisely and easier than before. Especially for agriculture, the certification of the genomic background of their plant materials would be important for the reliability of seed market and stable yield as well as for quarantine procedure. However, the analysis of NGS data is still difficult for non-computational researchers or breeders to verify their samples because majority of current softwares for NGS analysis require users to access unfamiliar Linux environment. MAIN BODY: Here, we developed a web-application, "Soybean-VCF2Genomes", http://pgl.gnu.ac.kr/soy_vcf2genome/ to map single sample variant call format (VCF) file against known soybean germplasm collection for identification of the closest soybean accession. Based on principal component analysis (PCA), we simplified genotype matrix for lowering computational burden while maintaining accurate clustering. With our web-application, users can simply upload single sample VCF file created by more than 10x resequencing strategy to find the closest samples along with linkage dendrogram of the reference genotype matrix. CONCLUSION: The information of the closest soybean cultivar will allow breeders to estimate relative germplasmic position of their query sample to determine soybean breeding strategies. Moreover, our VCF2Genomes scheme can be extended to other plant species where the whole genome sequences of core collection are publicly available.


Assuntos
Genoma de Planta , Soja/genética , Interface Usuário-Computador , Análise por Conglomerados , Bases de Dados Factuais , Genótipo , Sequenciamento de Nucleotídeos em Larga Escala , Aprendizado de Máquina , Fenótipo , Filogenia , Análise de Componente Principal , Sementes/genética , Soja/classificação , Soja/crescimento & desenvolvimento
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