Search results for "disease outbreak"

showing 10 items of 175 documents

rDNA fingerprinting as a tool in epidemiological analysis of Salmonella typhi infections

1991

SUMMARYCharacterization of 169 strainsof Salmonella typhiof phage types C1, C4, D1and D9isolated in 1975–88 was carried out by rDNA gene restriction pattern analysis. Twenty-four isolates had been recovered during four large waterbone outbreaks in the last 20 years in Sicily; 145 strains, isolated from apparently sporadic cases of infection in Southern Italy in the same period of time, were also examined.Application of rRNA–DNA hybridization technique after digestion of chromosomal DNA withClaI showed the identity of patterns of the epidemic strains of phage types C1and D1, confirming attribution of the outbreaks to single bacterial clones. Patterns of the two available strains of lysotype …

DNA BacterialSerotypeSalmonellaEpidemiologyRestriction MappingSalmonella typhimedicine.disease_causeDNA RibosomalDisease OutbreaksMicrobiologyBacteriophagemedicineCluster AnalysisHumansTyphoid FeverBacteriophage TypingPhage typingbiologyNucleic Acid HybridizationOutbreakSalmonella typhiRibosomal RNAbiology.organism_classificationDNA FingerprintingInfectious DiseasesItalyDNA profilingResearch Article
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Ongoing spread of colistin-resistant Klebsiella pneumoniae in different wards of an acute general hospital, Italy, June to December 2011.

2012

We describe polyclonal spread of colistin-resistant Klebsiella pneumoniae in an acute general hospital in Italy. Between June and December 2011, 58 colistin-resistant K. pneumoniae isolates were recovered from 28 patients admitted to different wards, but mainly in the intensive care units. All isolates were tested for drug susceptibility and the presence of beta-lactamase (bla) genes. Clonality was investigated by repetitive extragenic palindromic (rep)-PCR and multilocus sequence typing (MLST). Fifty-two isolates had minimum inhibitory concentrations (MICs) for colistin of 6-128 mg/L, carried blaKPC3 and were attributed to sequence type ST258. The remaining six isolates were susceptible to…

DNA BacterialSettore MED/07 - Microbiologia E Microbiologia ClinicaEpidemiologyKlebsiella pneumoniaeMicrobial Sensitivity TestsSettore MED/42 - Igiene Generale E ApplicataHospitals GeneralPolymerase Chain ReactionKlebsiella pneumoniae carbapenems colistin resistance ICU epidemiologybeta-LactamasesMicrobiologyDisease OutbreaksAntibiotic resistanceVirologyIntensive careDrug Resistance Multiple BacterialPatients' RoomsMedicineHumansKlebsiella pneumoniae; colistin-resistance; MLSTGeneral hospitalCross Infectionbiologybusiness.industryColistinPublic Health Environmental and Occupational HealthOutbreakbiochemical phenomena metabolism and nutritionbiology.organism_classificationAnti-Bacterial AgentsBacterial Typing TechniquesKlebsiella InfectionsIntensive Care UnitsKlebsiella pneumoniaeCarbapenemsItalyColistinMultilocus sequence typingbusinessHorizontal transmissionmedicine.drugMultilocus Sequence TypingEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
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The rise and the fall of a Pseudomonas aeruginosa endemic lineage in a hospital

2021

The biological features that allow a pathogen to survive in the hospital environment are mostly unknown. The extinction of bacterial epidemics in hospitals is mostly attributed to changes in medical practice, including infection control, but the role of bacterial adaptation has never been documented. We analysed a collection of Pseudomonas aeruginosa isolates belonging to the Besançon Epidemic Strain (BES), responsible for a 12year nosocomial outbreak, using a genotype-to-phenotype approach. Bayesian analysis estimated the emergence of the clone in the hospital 5 years before its opening, during the creation of its water distribution network made of copper. BES survived better than the refe…

DNA Bacterialparallel evolutionLineage (genetic)Genomic IslandsPathogens and EpidemiologyBiologymedicine.disease_causeAmoeba (operating system)Disease OutbreaksMicrobiology03 medical and health sciencesAntibiotic resistanceDrug Resistance Multiple BacterialGenomic islandbacterial pathogensmedicineHumansPseudomonas InfectionsPathogenGenome size[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyResearch Articles030304 developmental biology0303 health sciencesoutbreak030306 microbiologyPseudomonas aeruginosahigh-risk cloneOutbreakBayes TheoremSequence Analysis DNAGeneral MedicineHospitals3. Good healthPhenotype[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyPseudomonas aeruginosa
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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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Reflexiones sobre cómo evaluar y mejorar la respuesta a la pandemia de COVID-19

2020

La pandemia de COVID-19 ha afectado de manera particularmente intensa a España, pese a su nivel de desarrollo y la elogiada solidez de su Sistema Nacional de Salud. Para comprender qué ha pasado e identificar cómo mejorar la respuesta creemos imprescindible una evaluación independiente multidisciplinaria de la esfera sanitaria, política y socioeconómica. En este trabajo proponemos objetivos, principios, metodología y dimensiones a evaluar, además de esbozar el tipo de resultados y conclusiones esperadas. Nos inspiramos en los requerimientos formulados por el panel independiente de la Organización Mundial de la Salud y en las experiencias evaluativas en otros países, y detallamos la propuest…

Determinantes sociales de saludPolicy responses:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]Social determinants of healthRespuestas políticasPrevención y control:Health Care::Environment and Public Health::Public Health [Medical Subject Headings]Health services researchEvaluation:Geographical Locations::Geographic Locations::Europe::Spain [Medical Subject Headings]:Health Care::Health Care Economics and Organizations::Organizations::International Agencies::United Nations::World Health Organization [Medical Subject Headings]:Health Care::Health Care Facilities Manpower and Services::Health Facilities::Hospitals [Medical Subject Headings]Pandemia:Health Care::Health Care Economics and Organizations::Policy::Social Control Policies::Public Policy [Medical Subject Headings]EvaluaciónPandemicPrevención y control Investigación sobre servicios de salud:Health Care::Environment and Public Health::Public Health::Disease Outbreaks::Epidemics::Pandemics [Medical Subject Headings]COVID-19:Health Care::Health Services Administration::Quality of Health Care::Outcome and Process Assessment (Health Care) [Medical Subject Headings]:Diseases::Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [Medical Subject Headings]:Health Care::Health Services Administration::Patient Care Management::Comprehensive Health Care::Primary Health Care [Medical Subject Headings]Investigación sobre servicios de saludPrevention and controlMedicina Preventiva y Salud Pública:Health Care::Health Care Facilities Manpower and Services::Health Services::Community Health Services::Preventive Health Services::Health Education [Medical Subject Headings]
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Novel group A rotavirus G8 P[1] as primary cause of an ovine diarrheic syndrome outbreak in weaned lambs

2011

International audience; Rotavirus is a worldwide major cause of diarrhea outbreaks in neonatal ruminants. An outbreak of ovine diarrheic syndrome (ODS) in 50-75 days-old lambs (weaned lambs) is described. Fecal immunochromatography and intestinal immunohistochemistry for rotavirus group A were performed. In addition, semi-nested multiplex RT-PCR for G and P rotavirus genotyping in combination with sequencing were performed, to support the diagnosis and identify the viral strain. A novel ovine rotavirus group A G8 P[1] strain was determined as the main cause of the ODS observed, whereas other pathogens were ruled out.

DiarrheaRotavirusGenotypevirusesSheep DiseasesWeaningBiologymedicine.disease_causePolymerase Chain ReactionMicrobiologyGroup AChromatography AffinityRotavirus InfectionsDisease OutbreaksFeces03 medical and health sciencesOvine rotavirusfluids and secretionsRotavirusmedicineAnimalsOvine diarrheic syndromeGenotypingSheep DomesticFeces030304 developmental biology0303 health sciences[SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal HealthSheepGeneral VeterinarySequence Analysis RNA030306 microbiologyOutbreakGeneral MedicineImmunohistochemistryVirology3. Good healthweaned lambsDiarrheaSpainRNA Viralrotavirus group Amedicine.symptomVeterinary Microbiology
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Early entry events in Echovirus 30 infection

2020

Echovirus 30 (E30), a member of the enterovirus B species, is a major cause of viral meningitis, targeting children and adults alike. While it is a frequently isolated enterovirus and the cause of several outbreaks all over the world, surprisingly little is known regarding its entry and replication strategy within cells. In this study, we used E30 strain Bastianni (E30B) generated from an infectious cDNA clone in order to study early entry events during infection in human RD cells. E30B required the newly discovered Fc echovirus receptor (FcRn) for successful infection, but not the coxsackievirus and adenovirus receptor (CAR) or decay-accelerating factor (DAF), although an interaction with …

EchovirusvirusesReceptors FcVirus Replicationmedicine.disease_causeDisease OutbreaksPhylogenyEnterovirus0303 health sciencesbiologyenterovirusechovirusEnterovirus B HumanVirus-Cell InteractionsenteroviruksetCapsidaivokalvotulehdusRNA ViralECHO-viruksetEndosomeImmunologyEchovirus InfectionsCHO CellsCoxsackievirusMicrobiologyClathrininfektiotVirusCell Line03 medical and health sciencesCricetulusVirologyEnterovirus InfectionsViral meningitismedicineAnimalsHumans030304 developmental biologyearly entry030306 microbiologySequence Analysis DNAVirus Internalizationmedicine.diseasebiology.organism_classificationVirologyaseptic meningitisA549 CellsInsect Sciencebiology.proteinEnterovirus
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Real-time parameter estimation of Zika outbreaks using model averaging

2017

SUMMARYEarly prediction of the final size of any epidemic and in particular for Zika disease outbreaks can be useful for health authorities in order to plan the response to the outbreak. The Richards model is often been used to estimate epidemiological parameters for arboviral diseases based on the reported cumulative cases in single- and multi-wave outbreaks. However, other non-linear models can also fit the data as well. Typically, one follows the so called post selection estimation procedure, i.e., selects the best fitting model out of the set of candidate models and ignores the model uncertainty in both estimation and inference since these procedures are based on a single model. In this…

EpidemiologyComputer science030231 tropical medicineEPIDEMICSInferenceZika virusDisease OutbreaksSet (abstract data type)03 medical and health sciences0302 clinical medicineZIKA VIRUS MODEL AVERAGING REAL-TIME PREDICTIONS EPIDEMICS COLOMBIAStatisticsHumans030212 general & internal medicineCitiesSelection (genetic algorithm)Weibull distributionEstimationMODEL AVERAGINGTime parameterbiologyZika Virus InfectionIncidenceOutbreakModels Theoreticalbiology.organism_classificationOriginal PapersREAL-TIME PREDICTIONSInfectious DiseasesNonlinear DynamicsZIKA VIRUSCOLOMBIA
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Geographical spread of influenza incidence in Spain during the 2009 A(H1N1) pandemic wave and the two succeeding influenza seasons

2014

SUMMARYThe aim of this study was to monitor the spatio-temporal spread of influenza incidence in Spain during the 2009 pandemic and the following two influenza seasons 2010–2011 and 2011–2012 using a Bayesian Poisson mixed regression model; and implement this model of geographical analysis in the Spanish Influenza Surveillance System to obtain maps of influenza incidence for every week. In the pandemic wave the maps showed influenza activity spreading from west to east. The 2010–2011 influenza epidemic wave plotted a north-west/south-east pattern of spread. During the 2011–2012 season the spread of influenza was geographically heterogeneous. The most important source of variability in the m…

EpidemiologyIncidence (epidemiology)IncidenceMixed regressionvirus diseasesBayes TheoremVirologyOriginal PapersDisease OutbreaksInfectious DiseasesGeographyInfluenza A Virus H1N1 SubtypeSpainPopulation SurveillanceSpace-Time ClusteringPandemicInfluenza HumanHumansDemography
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Exploring relationships between drought and epidemic cholera in Africa using generalised linear models

2021

Abstract Background Temperature and precipitation are known to affect Vibrio cholerae outbreaks. Despite this, the impact of drought on outbreaks has been largely understudied. Africa is both drought and cholera prone and more research is needed in Africa to understand cholera dynamics in relation to drought. Methods Here, we analyse a range of environmental and socioeconomic covariates and fit generalised linear models to publicly available national data, to test for associations with several indices of drought and make cholera outbreak projections to 2070 under three scenarios of global change, reflecting varying trajectories of CO2 emissions, socio-economic development, and population gr…

EpidemiologyPopulationClimate changeInfectious and parasitic diseasesRC109-216MicrobiologyCholera1108 Medical Microbiologyparasitic diseasesmedicinePopulation growthClimate changeHumansScenario analysisSocioeconomicseducationEpidemicsDisease outbreaksVibrio choleraeSustainable developmenteducation.field_of_studyPublic healthResearchOutbreakfood and beverages1103 Clinical SciencesGlobal changemedicine.diseaseCholeraDroughtsInfectious DiseasesGeographyVDP::Medisinske Fag: 700::Helsefag: 800AfricaLinear Models0605 MicrobiologyBMC Infectious Diseases
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