Search results for " Outbreak"

showing 10 items of 640 documents

The Rise in Inequality after Pandemics: Can Fiscal Support Play a Mitigating Role?

2021

Abstract Major epidemics of the last two decades (SARS, H1N1, MERS, Ebola, and Zika) have been followed by increases in inequality [Furceri et al. (2020), COVID Economics, 12, 138–157]. In this article, we show that the extent of fiscal consolidation in the years following the onset of these pandemics has played an important role in determining the extent of the increase in inequality. Episodes marked by extreme austerity—measured using either the government’s fiscal balance, health expenditures, or redistribution—have been associated with an increase in the Gini measure of inequality three times as large as in episodes where fiscal policy has been more supportive. We survey the evidence th…

Economics and Econometrics2019-20 coronavirus outbreakAcademicSubjects/SOC00290Coronavirus disease 2019 (COVID-19)Inequalitymedia_common.quotation_subjectConsolidation (business)0502 economics and businessDevelopment economicsPandemicEconomics050207 economicsPandemicsAcademicSubjects/SOC00840health care economics and organizations050205 econometrics media_commonE6General Environmental ScienceGovernment05 social sciencesI14Settore SECS-P/02 Politica EconomicaO15Fiscal policyFiscal balanceH6InequalityGeneral Earth and Planetary SciencesOriginal ArticleFiscal policyIMF Working Papers
researchProduct

Green Versus Radical Right as the New Political Divide? The European Parliament Election 2019 in Germany

2020

Economics and Econometrics2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)ParliamentSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)media_common.quotation_subjectPolitikwissenschaftGeneral Business Management and AccountingRadical rightPoliticsPolitical economyPolitical sciencePolitical Science and International RelationsBusiness and International Managementmedia_common
researchProduct

COVID‐19 and tourism: What can we learn from the past?

2020

Abstract The impact of the COVID‐19 crisis on tourism flows is without precedent in terms of speed and severity. In this paper, we try to infer a possible future scenario for the tourism sector, evaluating the medium‐term effects of past pandemics on tourist arrivals. We find that pandemics lead to a persistent decline in tourist arrivals, with the effects being larger in developing and emerging countries. Interestingly, the effects are heterogeneous across countries and episodes, and depend on several economic conditions such as the overall health system performance, the severity of the shock, and the uncertainty induced by the pandemic event.

Economics and Econometrics2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)macromolecular substancespandemicsCOVID‐19Accounting0502 economics and businessDevelopment economicsPandemicEconomics050207 economicsuncertaintyEmerging markets050208 finance05 social sciencesCOVID-19Settore SECS-P/02 Politica EconomicaOriginal ArticlesShock (economics)Settore SECS-S/03 - Statistica EconomicaPolitical Science and International RelationstourismOriginal Articleinternational arrivalshealth systemsFinanceTourismHealthcare systemThe World Economy
researchProduct

Determinants of COVID-19 Vaccine Rollouts and Their Effects on Health Outcomes

2022

Background Vaccination against the coronavirus disease (SARS-CoV-2) is understood to be the key way out of the COVID-19 pandemic. Limited evidence exists on the determinants of vaccine rollouts and their health effects at the country level. Objective Examine the determinants of COVID-19 vaccine rollouts and their effects on health outcomes. Methods Ordinary least squares regressions with standard errors clustered at the country level for Cross-section and Panel daily data of vaccinations and various health outcomes (new COVID-19 cases, fatalities, intensive care unit (ICU) admissions) for an unbalanced sample of about 200 countries during the period 16 December 2020 to 20 June 2021. Results…

Economics and Econometricsand (iii) COVID-19 cases in neighboring countries can lead to an increase in a country's domestic caseload and hamper efforts in taming its own local outbreak. Conclusions: By providing an early broad overview of the quantitative empirical estimates of the determinants of vaccine rollouts and the effects of COVID-19 vaccines our paper can help policymakers make informed decisions about local and global distributions of vaccines as well as related policy tools such as containment measure.Coronavirus disease 2019 (COVID-19)business.industryHealth PolicyNational accountsOutbreakGeneral Medicine(ii) vaccine deployment significantly reduces new COVID-19 infections Intensive Care Unit (ICU) admissions and fatalities and is more effective when coupled with stringent containment measures or when a country is experiencing a large outbreakVaccination against the coronavirus disease (SARS-CoV-2) is understood to be the key way out of the COVID-19 pandemic. Limited evidence exists on the determinants of vaccine rollouts and their health effects at the country level. Objective: Examine the determinants of COVID-19 vaccine rollouts and their effects on health outcomes. Methods: Ordinary least squares regressions with standard errors clustered at the country level for Cross-section and Panel daily data of vaccinations and various health outcomes (new COVID-19 cases fatalities intensive care unit (ICU) admissions) for an unbalanced sample of about 200 countries during the period 16 December 2020 to 20 June 2021. Results: We find evidence that: (i) early vaccine procurement domestic production of vaccines the severity of the pandemic a country's health infrastructure and vaccine acceptance are significant determinants of the speed of vaccination rolloutHealth outcomesIntensive care unitlaw.inventionVaccinationProcurementlawEnvironmental healthPandemicGeneral Earth and Planetary SciencesMedicinebusinessGeneral Environmental ScienceIMF Working Papers
researchProduct

Real-time PCR detection of Ochroconis lascauxensis involved in the formation of black stains in the Lascaux Cave, France

2012

A real-time Polymerase Chain Reaction (PCR) assay was developed to detect and quantify Ochroconis lascauxensis in the Lascaux Cave in France. This fungus is the principal causal agent of the black stains threatening the Paleolithic paintings of this UNESCO World Heritage Site. The black stains outbreak could not be stopped in spite of using intensive biocide treatments. A sensitive and time-saving protocol is needed for determining the extent of the colonization. Sets of primers that target the ITS and RPB2 regions were designed and evaluated for specificity against O. lascauxensis. Genomic DNA extracted from five species of Ochroconis and 13 other fungal species frequently isolated from ca…

Environmental Engineering[SDV]Life Sciences [q-bio]Pcr assayFungal outbreaksFungusUnesco world heritageReal-Time Polymerase Chain Reactionlaw.inventionMicrobiology03 medical and health sciencesAscomycotaCavelaw[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular Biology[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyEnvironmental Chemistry[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyColoring AgentsDNA FungalWaste Management and Disposal[SDV.MP.MYC]Life Sciences [q-bio]/Microbiology and Parasitology/MycologyPolymerase chain reactionDNA Primers030304 developmental biology0303 health sciencesgeographygeography.geographical_feature_categoryBase Sequencebiology030306 microbiologyEcologyLascaux CaveOchroconis lascauxensisbiology.organism_classification[SDV.MP.MYC] Life Sciences [q-bio]/Microbiology and Parasitology/MycologyPollution3. Good healthgenomic DNAReal-time polymerase chain reactionOchroconis lascauxensis[SDE]Environmental SciencesFranceReal-time PCRScience of The Total Environment
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

Estimating COVID-19-induced Excess Mortality in Lombardy

2021

AbstractWe compare the expected all-cause mortality with the observed one for different age classes during the pandemic in Lombardy, which was the epicenter of the epidemic in Italy and still is the region most affected by the pandemic. A generalized linear mixed model is introduced to model weekly mortality from 2011 to 2019, taking into account seasonal patterns and year-specific trends. Based on the 2019 year-specific conditional best linear unbiased predictions, a significant excess of mortality is estimated in 2020, leading to approximately 35000 more deaths than expected, mainly arising during the first wave. In 2021, instead, the excess mortality is not significantly different from z…

Excess mortality2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicStatisticsBiologyGeneralized linear mixed model
researchProduct

Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks

2020

We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By using a mean-field approach, we derive an analytical estimate of the epidemic threshold for SIS and SIR epidemic models for a general adaptive strategy, which strongly depends on the correlations between activity and attractiveness in the susceptible and infected states. We focus on strong social distancing, implementing two types of quarantine inspired by recent real case studies: an active quarantine, in which the population compensates the loss of links rewiring the ineffective connections towards non-quarantining …

FOS: Computer and information sciences2019-20 coronavirus outbreakAdaptive strategiesPhysics - Physics and SocietyComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PopulationFOS: Physical sciencesPhysics and Society (physics.soc-ph)Computer securitycomputer.software_genre01 natural sciences010305 fluids & plasmaslaw.inventionlawActive phase0103 physical sciencesQuarantinesusceptible-infected-recovered (SIR)010306 general physicseducationCondensed Matter - Statistical MechanicsAdaptive behaviorSocial and Information Networks (cs.SI)education.field_of_studyStatistical Mechanics (cond-mat.stat-mech)Computer Science - Social and Information Networksepidemic modelsusceptible-infected-susceptible (SIS)Epidemic modelcomputer
researchProduct