Search results for "multivariate"

showing 10 items of 1520 documents

Association between climate and new daily diagnoses of COVID-19

2020

AbstractBackgroundAlthough evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks, uncertainty remains concerning the real impact of climate factors on viral transmission. Methods. The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region, while information on daily weather parameters in the same area was downloaded from IlMeteo website, a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 to November 11, 2020. The number of new daily COVID-19 cases and meteorological da…

Multivariate analysisCoronavirus disease 2019 (COVID-19)Leadership and ManagementStrategy and Management2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity1% decrease in humidityWind speedmin and max temperatureand influence the likelihood or course of local COVID-19 outbreaks. Preventive measuresHealth Information Managementa renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11mean air temperature1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with &ltHealth Policy1 km/h increase in wind speed and day with rainfall were independently associated with 1.0%Significant differencehumidityUnivariateOutbreakHumidityand inversely correlated with meanmean wind speed and number of days with rainfall. Days of lockdownwhile information on daily weather parameters in the same area was downloaded from IlMeteo websitetesting policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.Background: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks0.3%uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto RegionGeography100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmissionAir temperaturemean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperatureBackground: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region while information on daily weather parameters in the same area was downloaded from IlMeteo website a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11 2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity and inversely correlated with mean min and max temperature mean wind speed and number of days with rainfall. Days of lockdown mean air temperature humidity mean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperature 1% decrease in humidity 1 km/h increase in wind speed and day with rainfall were independently associated with 1.0% 0.3% 1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with <100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmission and influence the likelihood or course of local COVID-19 outbreaks. Preventive measures testing policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.DemographyJournal of Hospital Management and Health Policy
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Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

2019

[EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on probabilistic data quality assessment was applied to the historic monthly-batched admission data of Hospital La Fe Valencia, Spain from 2010 to 2016. Routine healthcare data with a complete EHR was expanded by processed variables such as the Charlson Comorbidity Index. Results Four Process-Reengineering interventions were detected by quantifiable effects on the EHR: (1) the hospital relocation in 2011 involved progressive reduction of admissions during the next four months, (2) th…

Multivariate analysisData managementPsychological interventionElectronic Medical Records02 engineering and technologyGeographical locationsDatabase and Informatics Methods0302 clinical medicineMathematical and Statistical TechniquesHealth care0202 electrical engineering electronic engineering information engineeringCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALMedicine and Health Sciences03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesElectronic Health Records030212 general & internal medicineData ManagementMultidisciplinaryQStatisticsRHospitalsPatient Discharge3. Good healthEuropePhysical SciencesMedicineEngineering and TechnologyMedical emergencyRelocationMATEMATICA APLICADAManagement EngineeringResearch ArticlePatient TransferComputer and Information SciencesScienceMEDLINESurgical and Invasive Medical ProceduresHealth InformaticsResearch and Analysis Methods03 medical and health sciencesBias020204 information systemsmedicineHumansEuropean UnionStatistical MethodsQuality of Health CareProtocol (science)Business Process Reengineeringbusiness.industrymedicine.diseaseHealth CareHealth Care FacilitiesSpainData qualityFISICA APLICADAMultivariate AnalysisPeople and placesbusinessMathematicsPLoS ONE
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Multivariate-Analysis of Phytoplankton and Related Environmental-Factors, in a Shallow Hypertrophic Lake

1995

Data on some relevant environmental variables and phytoplankton species composition, collected from the hypertrophic shallow lake Albufera of Valencia (Spain) during 1980-88, were examined using Redundancy Analysis (RDA). The hydrological cycle of the lake is manipulated for rice cultivation in the area. Seasonality and the particular hydrological cycle of the lake were the principal factors influencing long-term phytoplankton dynamics. Annual or horizontal differences were less important than the seasonal factor. However, a trend of phosphate increase and underwater illumination decrease was observed between 1980 and 1988. These changes might be related to some species year-to-year variati…

Multivariate analysisEcologyfungiEnvironmental factorSampling (statistics)Aquatic ScienceSeasonalitymedicine.diseasemedicine.disease_causeWaves and shallow waterPhytoplanktonmedicineEnvironmental sciencePhysical geographyWater cycleEutrophicationHydrobiologia
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Psychological flexibility, occupational burnout and eating behavior among working women

2013

Background: Occupational burnout is associated with diminished psychological flexibility and higher emotional (EE) and uncontrolled eating (UE). Psychological flexibility could be a mediating factor between burnout and eating behaviour. Objectives: To investigate differences in eating behaviour between those with different levels of psychological flexibility, and the association of the interaction between psychological flexibility and occupational burnout with eating behaviour. Design: The participants were working women (n = 263), who took part in the randomized controlled health intervention trial. Analyses were performed in a cross-sectional setting at baseline. Methods: Eating behaviour…

Multivariate analysisEmotiomal EatingFlexibility (personality)ta3141Cognitionta3142Hallitsematon syöminenBurnoutEmotional eatingPsychological FlexibilityUncontrolled EatingHealth interventionOccupational burnoutCognitive RestrainTyöuupumusOccupational BurnoutPsykologinen joustavuusQuartileTunnesyöminenKognitiivinen pidättyminenSyömiskäyttäytyminenPsychologyta515Eating BehaviorClinical psychologyOpen Journal of Preventive Medicine
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Prenatal Ultrasound Screening: False Positive Soft Markers May Alter Maternal Representations and Mother-Infant Interaction

2012

Background In up to 5% of pregnancies, ultrasound screening detects a “soft marker” (SM) that places the foetus at risk for a severe abnormality. In most cases, prenatal diagnostic work-up rules out a severe defect. We aimed to study the effects of false positive SM on maternal emotional status, maternal representations of the infant, and mother-infant interaction. Methodology and Principal Findings Utilizing an extreme-case prospective case control design, we selected from a group of 244 women undergoing ultrasound, 19 pregnant women whose foetus had a positive SM screening and a reassuring diagnostic work up, and 19 controls without SM matched for age and education. In the third trimester…

Multivariate analysisEmotionslcsh:Medicine[SHS.PSY]Humanities and Social Sciences/PsychologyUltrasound screening0302 clinical medicinePregnancyPsychologyLongitudinal Studieslcsh:ScienceMaternal BehaviorDepression (differential diagnoses)Psychiatry030219 obstetrics & reproductive medicineMultidisciplinaryObstetrics05 social sciencesObstetrics and GynecologyMother-Child Relations3. Good healthFetal DiseasesMaternal sensitivityMental HealthAnxietyMedicineFemalemedicine.symptomAbnormalityAlgorithms050104 developmental & child psychologyResearch ArticleAdultmedicine.medical_specialtyfalse positiveMothers[SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetricsAffect (psychology)Ultrasonography Prenatal03 medical and health sciencesmedicineHumans0501 psychology and cognitive sciencesFalse Positive ReactionsPsychiatryPregnancybusiness.industrylcsh:RCase-control studyInfant Newbornmother-infant attachment qualitymedicine.diseasesoft markerCase-Control Studieslcsh:QbusinessBiomarkersPLoS ONE
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Uncertainty evaluation of design rainfall for urban flood risk analysis

2011

A reliable and long dataset describing urban flood locations, volumes and depths would be an ideal prerequisite for assessing flood frequency distributions. However, data are often piecemeal and long-term hydraulic modelling is often adopted to estimate floods from historical rainfall series. Long-term modelling approaches are time- and resource-consuming, and synthetically designed rainfalls are often used to estimate flood frequencies. The present paper aimsto assess the uncertainty of such an approach and for suggesting improvements in thedefinition of synthetic rainfall data for flooding frequency analysis. According to this aim, a multivariate statistical analysis based on a copulameth…

Multivariate analysisEnvironmental EngineeringMeteorologyFlood frequency analysisRainlaw.inventionCopula (probability theory)Urban flood risklawPeak intensity100-year floodDesign rainfallSynthetic rainfallComputer SimulationCitiesWater Science and TechnologyHydrologyFrequency analysisFlood mythMultivariate analysiSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaModels TheoreticalFloodsRunoff modelItalyMultivariate AnalysisSanitary EngineeringCopula function
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Serological prevalence of toxoplasmosis in pregnant women in Luanda (Angola): Geospatial distribution and its association with socio-demographic and …

2020

We report a study on toxoplasmosis in pregnant women in Luanda, Angola, determining the seroprevalence, geospatial distribution and its association with socio-economic features, dietary habits and hygiene and health conditions. Anti-Toxoplasma gondii IgG and IgM were quantified in serum samples of women attended at the Lucrecia Paim Maternity Hospital between May 2016 and August 2017. The IgG avidity test and qPCR assay were used for dating the primary infection. Data were collected by questionnaire after written consent, and spatial distribution was assessed through a Kernel Density Function. The potential risk factors associated with Toxoplasma infection were evaluated using bivariate and…

Multivariate analysisEpidemiologyMaternal HealthAntibodies ProtozoanMiscarriageToxoplasma GondiiSerologyGeographical LocationsMedical ConditionsPregnancySeroepidemiologic StudiesPrevalenceMedicine and Health SciencesLongitudinal StudiesProtozoansMammalsMultidisciplinaryGeographybiologyCoinfectionObstetricsLiver DiseasesQRObstetrics and GynecologyEukaryotaMiddle AgedHepatitis BPopulation SurveillanceVertebratesMedicineFemaleToxoplasmaToxoplasmosisMaternal AgeResearch ArticleAdultmedicine.medical_specialtyAdolescentScienceGastroenterology and HepatologyLower riskYoung AdultParasitic DiseasesmedicineHumansAnimalsSeroprevalenceLiver Disease and PregnancyPregnancyProtozoan Infectionsbusiness.industryOrganismsBiology and Life SciencesToxoplasma gondiimedicine.diseasebiology.organism_classificationParasitic ProtozoansToxoplasmosisPregnancy ComplicationsCross-Sectional StudiesLogistic ModelsAngolaPregnancy Complications ParasiticMedical Risk FactorsPeople and PlacesAfricaAmniotesCatsWomen's HealthbusinessZoologyPLoS ONE
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Assessment of the statistical significance of classifications in infrared spectroscopy based diagnostic models.

2014

Fourier transform infrared (IR) spectroscopy in combination with multivariate data analysis is a versatile tool that can be applied to disease diagnosis. However, a rigorous validation of the obtained models is necessary in order to obtain robust results. This work evaluates the advantages of the use of permutation testing for determining the statistical significance of the misclassification errors obtained from IR based diagnostic models through cross validation (CV). The model performance, estimated by CV, is compared to a distribution of CV-performance values obtained using randomly permuted class labels. The distribution of ‘random CV-values’ is considered as a null distribution and use…

Multivariate analysisFeature selectionClinical Chemistry Tests02 engineering and technology01 natural sciencesBiochemistryCross-validationAnalytical ChemistryResamplingStatisticsDiagnosisSpectroscopy Fourier Transform InfraredElectrochemistryNull distributionEnvironmental ChemistryHumansSpectroscopyMathematicsModels Statistical010401 analytical chemistryEstimatorContrast (statistics)Discriminant AnalysisReproducibility of Results021001 nanoscience & nanotechnology0104 chemical sciencesRandom forest0210 nano-technologyThe Analyst
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T-pattern analysis for the study of temporal structure of animal and human behavior : a comprehensive review

2014

A basic tenet in the realm of modern behavioral sciences is that behavior consists of patterns in time. For this reason, investigations of behavior deal with sequences that are not easily perceivable by the unaided observer. This problem calls for improved means of detection, data handling and analysis. This review focuses on the analysis of the temporal structure of behavior carried out by means of a multivariate approach known as T-pattern analysis. Using this technique, recurring sequences of behavioral events, usually hard to detect, can be unveiled and carefully described. T-pattern analysis has been successfully applied in the study of various aspects of human or animal behavior such …

Multivariate analysisGroup method of data handlingPattern analysisBehavioural sciencesTime perceptionSettore BIO/09 - FisiologiaSocial interactionBehavior disorderAnimalsHumansAnimal behaviorCognitive scienceBehaviorModels Statisticalbusiness.industryMultivariate analysiGeneral NeuroscienceT-pattern analysiReproducibility of ResultsSocial relationBehavioral sciencesBehavioral sequenceMultivariate analysisBehavioral disorderMultivariate AnalysisArtificial intelligencePsychologybusinessBehavioral Research
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Optional Learning Opportunities

2018

The effects of offering and seizing optional learning opportunities rarely have been investigated. Thus, university instructors have no basis on which to decide whether offering optional learning opportunities to their students would be worth the effort and which students would seize and benefit from them. To target these questions, we designed a teaching−learning format in which we offered psychology undergraduates optional learning opportunities throughout the semester. We investigated the cognitive and motivational prerequisites of N=108 students who seized versus forwent the learning opportunities and compared their learning outcomes both with and without controlling for prerequisites.…

Multivariate analysisHigher educationbusiness.industry05 social sciences050301 educationComputingMilieux_LEGALASPECTSOFCOMPUTING050109 social psychologyEducationLearning opportunitiesComputingMilieux_COMPUTERSANDEDUCATIONMathematics education0501 psychology and cognitive sciencesStatistical analysisbusinessPsychology0503 educationGeneral PsychologyTeaching of Psychology
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