Search results for " Disease Outbreaks"

showing 10 items of 18 documents

Measles in Italy: Viral strains and crossing borders

2019

In 2017, Italy experienced one of the largest outbreaks of measles in recent years, with 5404 notified cases and 4347 confirmed cases. A further 2029 cases were notified during the first 6 months of 2018, and 1516 of them were laboratory-confirmed. The B3 and D8 genotypes were identified as those responsible for the outbreak. Possible transmission routes can be established by monitoring the circulating measles virus strains in support of the national health authorities to warn people and travellers. Keywords: Outbreak, Measles, Genotype identification, Surveillance

0301 basic medicineGenotyping TechniquesWHO/EuropeSettore MED/42 - Igiene Generale E ApplicataDisease OutbreaksWHO0302 clinical medicineMeasleGenotype030212 general & internal medicineTravelSurveillancebiologyTransmission (medicine)General MedicineEmigration and ImmigrationInfectious DiseasesGenotype identificationItalyWorld Health Organization European RegionSequence AnalysisMicrobiology (medical)medicine.medical_specialtyGenotype030106 microbiologyWorld Health OrganizationMeasleslcsh:Infectious and parasitic diseasesEuropean Regional Verification Commission for Measles and Rubella Elimination; Genotype identification; MeaNS; Measles; Measles Nucleotide Surveillance; Outbreak; RVC; Surveillance; WHO; WHO/Europe; World Health Organization; World Health Organization European RegionOutbreak Measles Genotype identification SurveillanceMeasles virus03 medical and health sciencesGenotype identification; Measles; Outbreak; Surveillance; Emigration and Immigration; Genotype; Genotyping Techniques; Humans; Italy; Measles; Measles virus; Sequence Analysis DNA; Travel; Disease OutbreaksmedicineHumanslcsh:RC109-216Genotyping TechniquesMeaNSNational healthEuropean Regional Verification Commission for Measles and Rubella EliminationPublic healthOutbreakOutbreakSequence Analysis DNADNAmedicine.diseasebiology.organism_classificationVirologyRVCMeasles virusMeasles Nucleotide SurveillanceMeasles
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Application of a portable instrument for rapid and reliable detection of SARS-CoV-2 infection in any environment

2020

Abstract The ongoing outbreak of the novel coronavirus (SARS‐CoV‐2) infection is creating serious challenges for health laboratories that seek to identify viral infections as early as possible, optimally at the earliest appearance of symptom. Indeed, there is urgent need to develop and deploy robust diagnostic methodologies not only to use in health laboratory environments but also directly in places where humans circulate and spread the virus such as airports, trains, boats, and any public aggregation places. The success of a reliable and sensitive asymptomatic diagnosis relies on the identification and measurement of informative biomarkers from human host and virus in a rapid, sensitive, …

0301 basic medicineportableSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Pneumonia ViralImmunologycoronavirusBiologymedicine.disease_causeSensitivity and SpecificityDisease OutbreaksWorkflowBetacoronavirus03 medical and health sciencesCOVID-19 Testing0302 clinical medicinePandemicmedicineAnimalsHumansMass ScreeninginstrumentImmunology and AllergyBiomarker discoveryAsymptomatic InfectionsPandemicsdeviceMass screeningCoronavirusInvited ReviewClinical Laboratory TechniquesSARS-CoV-2COVID-19Reproducibility of ResultsClinical Laboratory Servicescoronavirus; device; instrument; portable; SARS-CoV-2 detection; Animals; Asymptomatic Infections; Betacoronavirus; Biomarkers; Clinical Laboratory Services; Clinical Laboratory Techniques; Coronavirus Infections; Disease Outbreaks; Humans; Mass Screening; Pandemics; Pneumonia Viral; Reproducibility of Results; Sensitivity and Specificity; WorkflowIdentification (information)030104 developmental biologyWorkflowRisk analysis (engineering)SARS‐CoV‐2 detectionCoronavirus InfectionsHost (network)Biomarkers030215 immunology
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[Investigation of an outbreak of norovirus gastroenteritis in a geriatric hospital]

2005

National audience; In aged-care facilities, gastroenteritis outbreaks are responsible for big trouble in the management of cares to the elderly. In November 2002, a gastroenteritis outbreak was observed in 5 of the 6 wards of the geriatric hospital La Charité, University Hospital of Saint-Etienne, France, with an attack rate of 38.5% in the elderly (70 infected from 182 patients) and of 26.0% in the nursing staff (40 infected from 154 agents). The outbreak lasted 30 days with a peak corresponding to 79.8% of the cases between the 11(th) and the 20(th) of November. The first cases were observed in the two short-term-care wards; then, the outbreak spread rapidly to 3 of the 4 long-term care u…

AdultMaleMESH: NorovirusMESH : MaleMESH : Hospitals SpecialMESH : AgedMESH: GeriatricsHospitals Special[ SDV.MP.VIR ] Life Sciences [q-bio]/Microbiology and Parasitology/VirologyDisease OutbreaksMESH: Aged 80 and overHumansMESH : Middle AgedMESH : Disease OutbreaksMESH : FemaleMESH: Disease OutbreaksMESH : Aged 80 and overMESH : GeriatricsMESH: Caliciviridae InfectionsAgedCaliciviridae InfectionsAged 80 and overMESH: Aged[SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/VirologyMESH: Middle AgedMESH: HumansMESH : NorovirusNorovirusMESH : HumansMESH: Hospitals SpecialMESH: AdultMiddle AgedMESH : AdultMESH: MaleMESH: GastroenteritisGastroenteritisMESH : GastroenteritisGeriatrics[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/VirologyFemaleMESH : Caliciviridae InfectionsMESH: Female
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The epidemiology of mumps in Italy.

2008

In Italy, although vaccination has been recommended for a number of years, vaccination coverage for mumps is still sub-optimal. The objective of the present study was to evaluate the seroprevalence of mumps antibodies in the Italian population, stratified by age, gender and geographical area. The proportion of individuals positive for mumps antibodies remained stable in the age classes 0–11 months and 1 year (25.4% and 30.8%, respectively) and showed a continuous increase after the second year of life. The percentage of susceptible individuals was higher than 20% in persons 2–14 years of age and exceeded 10% in persons 15–39 years of age. No statistically significant differences were observ…

AdultMalemedicine.medical_specialtySettore MED/07 - Microbiologia E Microbiologia ClinicaAdolescentDatabases FactualMumps; Seroprevalence; Vaccination; Adolescent; Adult; Age Factors; Child; Child Preschool; Databases Factual; Disease Outbreaks; Female; Humans; Immunoglobulin G; Infant; Italy; Male; Middle Aged; Mumps; Registries; Seroepidemiologic Studiesmumps; seroprevalence; vaccinationSerologyDisease OutbreaksDatabasesSeroepidemiologic StudiesEpidemiologymedicineSeroprevalenceHumansRegistriesPreschoolChildMumpsFactualGeneral VeterinaryGeneral Immunology and Microbiologyseroprevalencebusiness.industryPublic Health Environmental and Occupational HealthAge FactorsInfantMiddle AgedvaccinationItalian populationVirologyVaccinationMumps Seroprevalence VaccinationInfectious DiseasesItalyVaccination coverageChild PreschoolImmunoglobulin GMolecular MedicineFemaleViral diseasebusinessDemographyVaccine
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Prevalence and genetic diversity of Aichi virus strains in stool samples from community and hospitalized patients.

2008

ABSTRACT Aichi virus has been proposed as a causative agent of gastroenteritis. A total of 457 stool specimens from children hospitalized with acute diarrhea and 566 stool specimens from adults and children involved in 110 gastroenteritis outbreaks were screened for the presence of Aichi virus by reverse transcription-PCR (RT-PCR) amplification of the genomic region of the 3C and 3D (3CD) nonstructural proteins. Our results show a low incidence of Aichi virus in pediatric samples and the existence of mixed infections with other microbiological agents in some cases. From the outbreak survey, it appears that the presence of Aichi virus is an indicator of mixed infections causing gastroenterit…

Aichi virusEpidemiologyMESH : PrevalenceMESH : DiarrheaMESH : KobuvirusDisease OutbreaksFecesMESH : ChildMESH: Picornaviridae InfectionsMESH: ChildMESH: AnimalsMESH: Genetic VariationMESH: PhylogenyChildPhylogeny0303 health sciencesCross InfectionMESH: KobuvirusMESH : Reverse Transcriptase Polymerase Chain ReactionMESH: Fecesvirus diseasesMESH : InfantMESH: Infant3. Good healthMESH : GastroenteritisMESH: DiarrheaMESH: Seafood[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyChild Preschool[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/VirologyAichi virusMESH : Cross InfectionMicrobiology (medical)DiarrheaMESH : Community-Acquired InfectionsKobuvirusMolecular Sequence Data[ SDV.MP.VIR ] Life Sciences [q-bio]/Microbiology and Parasitology/VirologyMESH: Ostreidae03 medical and health sciencesMESH : AdolescentHumansMESH : Disease OutbreaksMESH: PrevalenceMESH: AdolescentMESH : SeafoodMESH: HumansMESH: Molecular Sequence DataPicornaviridae Infections030306 microbiologyMESH: Child PreschoolMESH : HumansOutbreakGenetic VariationInfantDNAVirologyMESH: GastroenteritisSeafoodMESH : Sequence Analysis DNAMESH: Sequence Analysis DNAMESH : Molecular Sequence DataMESH : Child Preschool[ SDV.MP ] Life Sciences [q-bio]/Microbiology and ParasitologyMESH: Reverse Transcriptase Polymerase Chain ReactionGenotypePrevalenceMESH: Disease Outbreaks[SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/VirologyMESH : Picornaviridae InfectionsbiologyReverse Transcriptase Polymerase Chain ReactionIncidence (epidemiology)MESH: Infant NewbornGastroenteritisCommunity-Acquired InfectionsDiarrheaMESH: Community-Acquired InfectionsKobuvirusFrancemedicine.symptomSequence AnalysisAdolescentMESH : Infant NewbornMESH : Genetic VariationGenetic variationmedicineAnimalsPreschoolMESH : FranceFeces030304 developmental biologyMESH : OstreidaeInfant NewbornMESH: Cross InfectionMESH : PhylogenySequence Analysis DNAMESH : Fecesbiology.organism_classificationNewbornOstreidaeMESH: FranceMESH : Animals
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An Update of the Evolving Epidemic of blaKPC Carrying Klebsiella pneumoniae in Sicily, Italy, 2014: Emergence of Multiple Non-ST258 Clones

2015

Background: In Italy, Klebsiella pneumoniae carbapenemase producing K. pneumoniae (KPC-Kp) strains are highly endemic and KPC producing CC258 is reported as the widely predominating clone. In Palermo, Italy, previous reports have confirmed this pattern. However, recent preliminary findings suggest that an epidemiological change is likely ongoing towards a polyclonal KPC-Kp spread. Here we present the results of molecular typing of 94 carbapenem non susceptible K. pneumoniae isolates detected during 2014 in the three different hospitals in Palermo, Italy. Methods and Results: Ninety-four consecutive, non replicate carbapenem non susceptible isolates were identified in the three largest acute…

CarbapenemKlebsiella pneumoniaelcsh:MedicineGene ExpressionDrug resistancePlasmidbeta-LactamaseDisease OutbreaksMolecular typingFluoroquinoloneDrug Resistance Multiple Bacterialpolycyclic compoundslcsh:ScienceCarbapenemMembrane ProteinDisease OutbreakMultidisciplinarybiologyMedicine (all)IncidenceHospitalsAnti-Bacterial AgentsElectrophoresis Gel Pulsed-FieldKlebsiella pneumoniaeItalyEpidemiological MonitoringHumanFluoroquinolonesPlasmidsResearch Articlemedicine.drugBacterial ProteinAminoglycosides; Anti-Bacterial Agents; Bacterial Proteins; Carbapenems; Clone Cells; Colistin; Drug Resistance Multiple Bacterial; Electrophoresis Gel Pulsed-Field; Epidemiological Monitoring; Fluoroquinolones; Gene Expression; Hospitals; Humans; Incidence; Italy; Klebsiella Infections; Klebsiella pneumoniae; Membrane Proteins; Multilocus Sequence Typing; Mutation; Plasmids; beta-Lactamases; Disease Outbreaks; Agricultural and Biological Sciences (all); Biochemistry Genetics and Molecular Biology (all); Medicine (all)beta-LactamasesMicrobiologyClone CellHospitalAntibiotic resistanceBacterial ProteinsAnti-Bacterial AgentmedicineHumansBiochemistry Genetics and Molecular Biology (all)AminoglycosideColistinlcsh:RMembrane ProteinsCarbapenemase producingbiochemical phenomena metabolism and nutritionbacterial infections and mycosesbiology.organism_classificationVirologyClone CellsKlebsiella InfectionsAminoglycosidesAgricultural and Biological Sciences (all)CarbapenemsMutationColistinMultilocus sequence typinglcsh:QKlebsiella InfectionMultilocus Sequence TypingPLOS ONE
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COVID-19, an opportunity for developing countries?

2020

The COVID-19 outbreak was declared by the World Health Organization (WHO) as global pandemic in March 2020. Considering the necessity to implement rapid response to control the pandemic and the fragility and the state of need of low income countries, it will be mandatory to develop a global approach in order to reduce the spread of infection and the creation of community viral reservoirs. So far, we could hypothesize a worst case scenario in which when the COVID-19 outbreak hits a peak in Africa and in low-income countries, the majority of such countries will be unprepared, with low resources allocated for affording the viral emergency and the consequences will be catastrophic with no lesso…

Coronavirus disease 2019 (COVID-19)coronavirusDeveloping countryWorst-case scenarioDisease Outbreaks03 medical and health sciences0302 clinical medicinecoronavirus infectionsOrder (exchange)Development economicsPandemicHumanslow-and lower-middle-income countries030212 general & internal medicineDeveloping CountriesHealth policySARS-CoV-2030503 health policy & serviceslcsh:Public aspects of medicineHealth PolicyIncidencePublic Health Environmental and Occupational Healthcoronavirus infections low-and lower-middle-income countries perspective Africa COVID-19 Developing Countries Disease Outbreaks Humans Incidence Public Health SARS-CoV-2 South America Health PolicyOutbreakCOVID-19lcsh:RA1-1270South AmericaScale (social sciences)AfricaPerspectiveBusinessPublic Health0305 other medical science
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Smoking trends among adolescents from 1990 to 2002 in ten European countries and Canada.

2006

Abstract Background Daily smoking adolescents are a public health problem as they are more likely to become adult smokers and to develop smoking-related health problems later on in their lives. Methods The study is part of the four-yearly, cross-national Health Behaviour in School-aged Children study, a school-based survey on a nationally representative sample using a standardised methodology. Data of 4 survey periods are available (1990–2002). Gender-specific daily smoking trends among 14–15 year olds are examined using logistic regressions. Sex ratios are calculated for each survey period and country. Interaction effects between period and gender are examined. Results Daily smoking preval…

Cross-Cultural ComparisonMaleMESH: Antiviral Agentsmedicine.medical_specialtyCanadaAdolescentMESH: SchoolsCross-sectional studyHealth BehaviorPsychological interventionLogistic regressionWorld Health OrganizationRisk-TakingMESH: Computer SimulationEnvironmental healthSurveys and QuestionnairesEpidemiologymedicinePrevalenceHumansSex DistributionMESH: Disease OutbreaksMESH: OrthomyxoviridaeSchoolsMESH: Humansbusiness.industrylcsh:Public aspects of medicinePublic healthMESH: Influenza HumanSmokingPublic Health Environmental and Occupational Healthlcsh:RA1-1270MESH: NeuraminidaseMESH: Mass ImmunizationCross-cultural studiesHealth SurveysEuropeCross-Sectional StudiesAdolescent Behavior[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieFemale[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieBiostatisticsbusinessMESH: QuarantineSex ratioMESH: Models StatisticalResearch Article
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Increase in norovirus activity reported in Europe.

2006

A large increase in norovirus outbreaks in Hungary and Germany was reported to European national health authorities via the Foodborne Viruses in Europe network

Databases FactualGenotypevirusesMESH : EuropeMESH : GermanyMESH : Health SurveysMESH : GenotypeMESH : Databases FactualMESH : Hungarymedicine.disease_cause[ SDV.MP.VIR ] Life Sciences [q-bio]/Microbiology and Parasitology/VirologyMESH : Information ServicesDisease OutbreaksEnvironmental healthGermanyMESH : Population SurveillancemedicineHumansMESH : Disease OutbreaksComputingMilieux_MISCELLANEOUSCaliciviridae Infections[SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/VirologyNational healthInformation ServicesHungaryMESH : SeasonsMESH : NorovirusIncidenceMESH : HumansNorovirusOutbreakVirologyHealth SurveysMESH : IncidenceGastroenteritisMESH : GastroenteritisEuropeGeographyPopulation SurveillanceNorovirusSeasonsMESH : Caliciviridae InfectionsEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
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Nowcasting COVID‐19 incidence indicators during the Italian first outbreak

2020

A novel parametric regression model is proposed to fit incidence data typically collected during epidemics. The proposal is motivated by real-time monitoring and short-term forecasting of the main epidemiological indicators within the first outbreak of COVID-19 in Italy. Accurate short-term predictions, including the potential effect of exogenous or external variables are provided. This ensures to accurately predict important characteristics of the epidemic (e.g., peak time and height), allowing for a better allocation of health resources over time. Parameter estimation is carried out in a maximum likelihood framework. All computational details required to reproduce the approach and replica…

FOS: Computer and information sciencesStatistics and ProbabilityNowcastingEpidemiologyComputer scienceCOVID-19 growth curves Richards’ equation SARS-CoV-2COVID-19; growth curves; Richards' equation; SARS-CoV-2; Disease Outbreaks; Humans; Incidence; Italy; SARS-CoV-2; COVID-19growth curvesStatistics - Applications01 natural sciencesSARS‐CoV‐2Disease Outbreaks010104 statistics & probability03 medical and health sciences0302 clinical medicineCOVID‐19StatisticsHumansApplications (stat.AP)030212 general & internal medicine0101 mathematicsResearch ArticlesParametric statisticsrichards' equationExternal variableDisease OutbreakSARS-CoV-2Estimation theorycovid-19; richards' equation; sars-cov-2; growth curvesIncidenceIncidence (epidemiology)COVID-19OutbreakRegression analysisReplicatesars-cov-2Richards' equationItalycovid-19Settore SECS-S/01Settore SECS-S/01 - StatisticaResearch Articlegrowth curveHuman
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