Search results for "TBR"

showing 10 items of 909 documents

Efficiency of COVID-19 Testing Centers in Iran: A Data Envelopment Analysis Approach

2022

AbstractObjective:The purpose of this study is to investigate the efficiency of the Iranian Red Crescent Society (IRCS) in managing their nonmonetary resources involved in coronavirus disease 2019 (COVID-19) response.Methods:For this purpose, the data envelopment analysis approach was used to measure the efficiency, considering the number of personnel and vehicles and screened passengers as the input and output parameters, respectively. It was examined the efficiency of 10 IRCS’s branches given 17 d of screening operation. For the analysis, the DEA SolverPro software 15a version was used.Results:The results show that only 1 branch had been fully efficient in using the resources, while 5 bra…

resources management2019-20 coronavirus outbreakMeasure (data warehouse)Coronavirus disease 2019 (COVID-19)Operations researchComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Public Health Environmental and Occupational HealthCOVID-19BurnoutRed CrescentIndirect costspandemic responseefficiencyData envelopment analysisIranian Red Crescent Societydata envelopment analysisOriginal Research
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Maladie du huanglongbing

2019

Maladie du huanglongbing. Analyse du risque phytosanitaire pour l’Union européenne

risque phytosanitairedisséminationhuanglongbingexpertise scientifiquephytopathogenic bacteriaTrioza erytreaeCandidatus Liberibacter africanusplant introductionintroduction de plantesCitrus spp.Union européenneRutaceaeCandidatus Liberibacter asiaticuspathologie végétale[SDV.BV.PEP] Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacybactérie phytopathogèneanalyse de risques[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesétat de l'artCandidatus Liberibacter americanusanalyse de risque phytosanitaire (ARP)région méditerrannéenneinsect vectorsvecteur de transmission des maladiesMurraya paniculatafilière économiqueHLBagrumeDiaphorina citrioutbreakspsylle vecteurinsecte vecteurépidémie
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L'occupation humaine du Grand-Duché de Luxembourg à l'âge du Bronze Final : inventaire des sites et bilan de l'état de la documentation

2017

International audience

settlementsLate Bronze AgeLuxembourg. SchlagwörterceramicsKeramik[SHS]Humanities and Social SciencesGrabfundefuneral sitescave[SHS] Humanities and Social SciencesSiedlungenHöhleLuxembourg. Schlagwörter SpätbronzezeitComputingMilieux_MISCELLANEOUS
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Reply to: Kow CS et al. Are severe asthma patients at higher risk of developing severe outcomes from COVID-19?

2021

severe asthma2019-20 coronavirus outbreakmedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Severe asthmaImmunologyComorbiditySettore MED/10 - Malattie Dell'Apparato RespiratorioCOVID-19 severe asthma COPDNOHumans; SARS-CoV-2; Asthma; COVID-19Internal medicineCorrespondencemedicineCOPDImmunology and AllergyHumansAsthmaCOVIDbusiness.industrySARS-CoV-2COVID-19asthmamedicine.diseaseItalybusiness
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COVID-19 in Severe Asthma Network in Italy (SANI) patients: Clinical features, impact of comorbidities and treatments

2020

To the Editor Since the end of February 2020 Italy, first non- Asian Country, has reported an ever increasing number of COronaVIrus Disease 19 (COVID-19) patients, which has reached over 200,000 confirmed Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) infected subjects and resulted in more than 34000 deaths (data updated to June 19th, 20201).Patients with asthma are potentially more severely affected by by SARS-CoV-2 infection 2 and it is well established that respiratory viral infections are associated with severe adverse outcomes in patients with asthma, including increased risk of asthma exacerbation episodes 3. Nonetheless, according to the epidemiological studies publishe…

severe asthmamedicine.medical_specialty2019-20 coronavirus outbreakCOVID-19 Severe Asthma Network in Italy inflammationCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Severe asthmaPopulationImmunologyMEDLINEOmalizumabSettore MED/10 - Malattie Dell'Apparato RespiratorioNOInternal medicineDiabetes mellitusSeverity of illnessmedicineImmunology and AllergyRisk factorLetters to the EditoreducationLetter to the EditorAsthmaeducation.field_of_studybusiness.industryIncidence (epidemiology)Mortality rateCOVID-19medicine.diseaseComorbiditySevere Asthma Network in ItalyinflammationCohortbusinessMepolizumabmedicine.drug
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Fitness and viability of small populations : the effects of genetic drift, inbreeding, and interpopulation hybridization

2012

sisäsiitosdrift loadluonnonvalintaDrosophila littoralismahlakärpäsetfitness surrogatesoutbreeding depressiongeneettinen muuntelusatunnaisajautuminenpopulaatiotpurgingristeytysheterosissukusiitosinbreeding depression
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Mūža ieslodzījums

2017

Pasaulē pastāv vairāki soda brīvības atņemšanas veidi, kuri tiek piemēroti personām par noziedzīgu nodarījumu izdarīšanu. Latvijā bargākais soda veids ir mūža ieslodzījums, kas tiek piešķirts par ļoti smagiem pārkāpumiem. Galvenā problēma ir soda mērķa sasniegšanas iespējamība, pielietojot brīvības atņemšanu beztermiņā jeb mūža ieslodzījumu . Darba galvenais mēķis ir atrast citas iespēas, ja soda mērķis nav sasniedzams , lai samazinātu draudus sabiedrībai. Izanalizēt vai soda mērķis praksē un teorijā tiek pielietots un izprasts vienādi. Darba mērķis ir izsprast mūža ieslodzījuma institūta nepieciešamību un tā lietderību Latvijā salīdzinot ar ārvalstīm. Kā arī noskaidrot citas iespējas notie…

sodsnotiesātaismūža ieslodzījumsatbrīvošanaārvalstisJuridiskā zinātne
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Bayesian temporal and spatio-temporal Markov switching models for the detection of influenza outbreaks

2017

Influenza is a disease which affects millions of people every year and causes hundreds of thousends of deads every year. This disease causes substantial direct and indirect costs every year. The influenza epidemic have a particular behavior which shapes the statistical methods for their detection. Seasonal epidemics happen virtually every year in the temperate parts of the globe during the cold months and extend throughout whole regions, countries and even continents. Besides the seasonal epidemics, some nonseasonal epidemics can be observed at unexpected times, usually caused by strains which jump the barrier between animals and humans, as happened with the well known Swine Flu epidemic, w…

spatio-temporal models:MATEMÁTICAS::Estadística ::Técnicas de inferencia estadística [UNESCO]outbreaks detectionbayesianUNESCO::MATEMÁTICAS::Estadística ::Técnicas de inferencia estadísticamarkov switching modelsinfluenza
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Modelling and assessing public health policies to counteract Italian measles outbreaks

2021

This study aims to understand, through explanatory research, the key factors that led to the 2017 measles outbreak in Italy, the causes of the low level of immunisation and the causes of possible cyclical phenomena of measles epidemics. This topic's comprehension has required a holistic approach, merging epidemiological aspects, socioeconomic aspects (including the evolution of mistrust in vaccinations, infodemy and fake news) and health law constraints. A specific SIR System Dynamics (SD) model was built to reproduce the relevant cause-and-effect relationships between social interactions, the public institutions behaviour and the measles outbreaks. SD results permit the assessment of the h…

system dynamicInfodemicPublic healthmedicine.medical_specialtyCommunicable diseaseApplied MathematicsPublic healthVaccinationSir modelMeasles outbreakOutbreakSettore ING-IND/35 - Ingegneria Economico-GestionaleSettore MED/42 - Igiene Generale E Applicatamedicine.diseaseMeaslesComputer Science ApplicationsVaccinationKey factorsGeographySettore SECS-P/07 - Economia AziendaleMeasleModeling and SimulationEnvironmental healthmedicineInternational Journal of Simulation and Process Modelling
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Genetic relationship between clinical and environmental Vibrio cholerae isolates in Tanzania: A comparison using repetitive extragenic palindromic (R…

2015

The bacterium causing cholera, Vibrio cholerae, is a marine organism and coastal waters are important reservoirs of the organism. There are more than 200 serogroups of V. cholerae, of which serogroups O1 and O139 are known to be the causative agent of the cholera. The main virulent factor in V. cholerae is cholera toxin gene (ctx) that is found from the epidemic O1 and O139 strains, but may also be found in some strains other than O1 and O139 (non-O1 and non-O139). In this study, 48 V. cholerae strains isolated from three estuaries of Tanzania and 20 stool isolates were characterized in terms of their serogroups and possession of ctx gene and then compared using two PCR based fingerprinting…

ta1172VirulencePlant Sciencemedicine.disease_causeMicrobiologyMicrobiologyIntergenic regionestuaries of TanzaniamedicineGeneticsbiologyenterobacterial repetitive intergenic consensus (ERIC)-PCRGenetic heterogeneityCholera toxinta1183Outbreakta3142vibrio choleraebiology.organism_classificationmedicine.diseasebacterial infections and mycosesCholeraInfectious Diseasesrepetitive extragenic palindromic (REP)-PCRVibrio choleraeBacteria
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