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Description
  • By means of statistical approaches we attempt to bridge both aspects of the ground-level ozone problem: assessment of health effects and forecasting and warning. Based on a panel study of children in Leipzig we identified a nonlinear concentration-response relationship between ozone and respiratory symptoms. We conclude that there is urgent demand for forecasting episodes of high ozone that may help susceptible persons to avoid high exposure.
  • By means of statistical approaches we attempt to bridge both aspects of the ground-level ozone problem: assessment of health effects and forecasting and warning. Based on a panel study of children in Leipzig we identified a nonlinear concentration-response relationship between ozone and respiratory symptoms. We conclude that there is urgent demand for forecasting episodes of high ozone that may help susceptible persons to avoid high exposure. (en)
  • V příspěvku je statistickými metodami analyzována souvislost zdravotních rizik a varovných systémů pro předpověď koncentrací přízemního ozónu. Na základě výběrové studie zdravotního stavu dětí v Lipsku jsme identifikovali nelineární závislosti mezi koncentracemi ozónu a respiračními symptomy. Ze získaných poznatků vyplývá naléhavá potřeba předpovědi vysokých koncentrací ozónu, která by pomohla senzitivním osobám nevystavovat se působení vysokých koncentrací (cs)
Title
  • Statistical Models to Assess the Health Effects and to Forecast Ground Level Ozone
  • Statistické modely pro vyhodnocení zdravotních rizik a koncentrací přízemního ozónu (cs)
  • Statistical Models to Assess the Health Effects and to Forecast Ground Level Ozone (en)
skos:prefLabel
  • Statistical Models to Assess the Health Effects and to Forecast Ground Level Ozone
  • Statistické modely pro vyhodnocení zdravotních rizik a koncentrací přízemního ozónu (cs)
  • Statistical Models to Assess the Health Effects and to Forecast Ground Level Ozone (en)
skos:notation
  • RIV/67985807:_____/06:00082058!RIV07-AV0-67985807
http://linked.open.../vavai/riv/strany
  • 547;558
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET400300414), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 501473
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/06:00082058
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • statistical models; ground level ozone; health effects; logistic model; forecasting; prediction performance; neural network; generalised additive model; integrated assessment (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [37CBC8657C50]
http://linked.open...i/riv/nazevZdroje
  • Environmental Modelling & Software
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 21
http://linked.open...iv/tvurceVysledku
  • Pelikán, Emil
  • Richter, M.
  • Cawley, G.
  • Dorling, S.
  • Schlink, U.
  • Nunnari, G.
  • Herbath, O.
http://linked.open...n/vavai/riv/zamer
issn
  • 1364-8152
number of pages
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