0000000000579997

AUTHOR

U. Kumar

showing 2 related works from this author

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

2021

Abstract Background Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18–49, 50–69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results NNVs were more favourable in su…

MaleCOVID-19 Vaccinesafe surgery; vaccination modelling; COVID-19Vascular damage Radboud Institute for Health Sciences [Radboudumc 16]MULTICENTERComorbidity030230 surgery0302 clinical medicinephase 3 clinical trial (topic)Case fatality rateProspective StudiesSARS-CoV-2 Vaccination Safe surgeryCOVID-19/epidemiologySARS-CoV-2 ; vaccination ; safe surgeryeducation.field_of_studycase fatality rateVaccinationVaccinationAdolescent; Adult; Aged; COVID-19; COVID-19 Vaccines; Comorbidity; Elective Surgical Procedures; Female; Humans; Male; Middle Aged; Postoperative Complications; Preoperative Period; Prospective Studies; SARS-CoV-2; Vaccination; Young Adulthealth care policyElective Surgical Procedures030220 oncology & carcinogenesisvaccination modellingPreoperative PeriodCOVID-19; SARS-CoV-2; cancer; vaccination; outcome; mortality; infection; modellingCohort studyprospective studyHumanmedicine.medical_specialtyArticle03 medical and health sciencesSARS-CoV-2 vaccinationSDG 3 - Good Health and Well-beingCOVID-19 Vaccines/pharmacologyHumansVaccination/methodsElective surgeryeducationAgedScience & TechnologyElective Surgical Procedureadult; aged; Article; cancer grading; cancer surgery; case fatality rate; computer assisted tomography; elective surgery; female; follow up; health care policy; human; incidence; infection rate; infection risk; major clinical study; male; middle aged; mortality; outcome assessment; phase 3 clinical trial (topic); preoperative care; prospective study; sensitivity analysis; seroprevalence; Severe acute respiratory syndrome coronavirus 2; vaccination; young adult; COVID-19; COVID-19 Vaccines; Comorbidity; Elective Surgical Procedures; Postoperative Complications; Preoperative Period; SARS-CoV-2; Vaccination; surgery.Cura preoperatòriamajor clinical studymortalityinfectionProspective StudieincidenceSurgeryHuman medicinePostoperative Complication610 Medizin und GesundheitAcademicSubjects/MED00910Settore MED/18 - CHIRURGIA GENERALESettore MED/29 - CHIRURGIA MAXILLOFACCIALEcomputer assisted tomographyESTUDOS PROSPECTIVOSsurgerysafe surgeryPostoperative Complicationssensitivity analysisSevere acute respiratory syndrome coronavirus 2preoperative careVacunacióProspective cohort studyseroprevalenceIncidence (epidemiology)covidElective Surgical Procedures/methodsMiddle Agedcancer gradingCOVID vaccinationoutcome/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingSARS-CoV-2; vaccination; surgeryOriginal ArticleFemalecancer surgeryAcademicSubjects/MED00010Life Sciences & BiomedicineAdultCOVID-19 VaccinesAdolescentinternational prospective cohort studyPostoperative Complications/prevention & controlPopulationinfection rateSARS-CoV-2/immunologyNOmodellingYoung Adultmedicinefollow upcancerddc:610infection riskoutcome assessmentLS7_4business.industrySARS-CoV-2Number needed to vaccinatePreoperative careCOVID-193126 Surgery anesthesiology intensive care radiologySettore MED/18Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10]elective surgeryEmergency medicinebusiness[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyThe British Journal of Surgery
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MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

2015

Abstract. This paper presents the first ensemble modelling experiment in relation to birch pollen in Europe. The seven-model European ensemble of MACC-ENS, tested in trial simulations over the flowering season of 2010, was run through the flowering season of 2013. The simulations have been compared with observations in 11 countries, all members of the European Aeroallergen Network, for both individual models and the ensemble mean and median. It is shown that the models successfully reproduced the timing of the very late season of 2013, generally within a couple of days from the observed start of the season. The end of the season was generally predicted later than observed, by 5 days or more…

Atmospheric Sciencemedicine.medical_specialty010504 meteorology & atmospheric sciencesUrban Mobility & EnvironmentClimateAerobiologyUrbanisation010501 environmental sciencesmedicine.disease_cause01 natural sciencesAerobiologyFloweringlcsh:ChemistryPollenddc:550medicineStatistical dispersionAerosol0105 earth and related environmental sciencesEnsemble forecastingEnsemble averageModelingEnsemble forecastingCAS - Climate Air and SustainabilityMiljövetenskaplcsh:QC1-999EuropeBirch pollenlcsh:QD1-999HabitatClimatology[SDE]Environmental SciencesPollenLate seasonEnvironmental scienceELSS - Earth Life and Social SciencesEnvironment & Sustainabilitylcsh:PhysicsEnvironmental Sciences
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