Search results for "Outbreak"

showing 10 items of 812 documents

Oligonucleotide-capped nanoporous anodic alumina biosensor as diagnostic tool for rapid and accurate detection of Candida auris in clinical samples.

2021

[EN] Candida auris has arisen as an important multidrug-resistant fungus because of several nosocomial outbreaks and elevated rates of mortality. Accurate and rapid diagnosis of C. auris is highly desired; nevertheless, current methods often present severe limitations and produce misidentification. Herein a sensitive, selective, and time-competitive biosensor based on oligonucleotide-gated nanomaterials for effective detection of C. auris is presented. In the proposed design, a nanoporous anodic alumina scaffold is filled with the fluorescent indicator rhodamine B and the pores blocked with different oligonucleotides capable of specifically recognize C. auris genomic DNA. Gate opening modul…

oligonucleotide0301 basic medicineEpidemiology030106 microbiologyImmunologyRapid diagnosismacromolecular substancesbiosensorCandida auris Nanoporous anodic alumina biosensor molecular gates oligonucleotide rapid diagnosisMicrobiologyMicrobiology03 medical and health sciencesQUIMICA ORGANICAVirologyOligonucleotideDrug DiscoveryQUIMICA ANALITICArapid diagnosisNosocomial outbreakChemistryNanoporousOligonucleotideQUIMICA INORGANICAGeneral MedicineCandida aurisMolecular gates030104 developmental biologyInfectious DiseasesCandida aurisParasitologyNanoporous anodic aluminaBiosensormolecular gatesBiosensor
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Gender differences in the battle against COVID‐19: Impact of genetics, comorbidities, inflammation and lifestyle on differences in outcomes

2020

Abstract It has been over six months now since the entire globe was struck by the new Coronavirus Disease 2019 (COVID‐19; aka severe acute respiratory syndrome coronavirus 2 [SARS‐CoV‐2]), which has affected 215 nations. The medical and scientific communities continue to search for and study potential treatments for COVID‐19 as well as an effective vaccine. As of 21 June 2020, 11.4 million cases have been confirmed worldwide, with approximately 530,000 deaths. A large number of scientific papers have been produced, hundreds of thousands of patients have been hospitalized and studied, several treatments and vaccines are being tested in randomized clinical trials, social distancing regulation…

pandemia; outcomemedicine.medical_specialty2019-20 coronavirus outbreakBattleCoronavirus disease 2019 (COVID-19)business.industrymedia_common.quotation_subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)InflammationGeneral Medicinecovid-19COVID‐19inflammationgender inflammation genetics lifestyleInternal medicinePerspectivegenderMedicinemedicine.symptombusinessmedia_commonInternational Journal of Clinical Practice
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Validating Habitual and Goal-Directed Decision-Making Performance Online in Healthy Older Adults

2021

Everyday decision-making is supported by a dual-system of control comprised of parallel goal-directed and habitual systems. Over the past decade, the two-stage Markov decision task has become popularized for its ability to dissociate between goal-directed and habitual decision-making. While a handful of studies have implemented decision-making tasks online, only one study has validated the task by comparing in-person and web-based performance on the two-stage task in children and young adults. To date, no study has validated the dissociation of goal-directed and habitual behaviors in older adults online. Here, we implemented and validated a web-based version of the two-stage Markov task usi…

reinforcement learningAging2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Markov chainCognitive NeuroscienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Applied psychologyNeurosciences. Biological psychiatry. Neuropsychiatrydecision-makinggoal-directedTask (project management)habitualReinforcement learningYoung adultPsychologyvalidatingolder adultsonlineRC321-571NeuroscienceOriginal ResearchFrontiers in Aging Neuroscience
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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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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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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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