Kiltova

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Versio hetkellä 4. joulukuuta 2020 kello 20.16 – tehnyt Jouni (keskustelu | muokkaukset) (ensimmäinen luonnos excelin pohjalta)
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Kiltova on Syken koordinoima projekti, joka tuottaa toiminnallisuuksia ilmastotoimenpiteiden vaikutusten arviointiin. Päähuomio on muissa kuin suorissa ilmastovaikutuksissa, esimerkiksi ilmansaasteissa, talousvaikutuksissa jne.

Malleja

PAQ2018

Partnership on air quality tuotti mallin, jonka yleiskuvaus on alla olevissa taulukoissa. Laskenta on toteutettu Excelillä. [1]

User inputs:

  • Total number of citizens in region of interest
  • Age distribution by one-year age groups
  • Outdoor air pollutant concentrations. All concentrations in ug/m3
    • PM10
    • PM2.5
    • NO2
    • EC
Olennaiset laskentafunktiot
!Variable Equation
Population at risk Standard population age group / total standard population * total target population
Magnitude total Burden of Disease Population * incidence or prevalence / scaling factor
Attributable cases/burden of disease BoD*(RR-1)/RR
RR ∆ PM10 scenario 1 exp(ln(RR_per_10)/10*(exposure-cutoff))
YLD (attributable cases or bod)*YLD per unit
Costs (attributable cases or BoD) * cost per unit (€)
Percentage decline FEV1 decline fev1/10*(exposure-cutoff)
Total YLD / costs. Sum of morbidity. Does not include RAD and LBW and FEV1
Total DALYs / health damage in € YLD + YLL due to PM2.5 & NO2
Olennaiset parametrit
Morbidity Heath risk factor Dose-response Scaling factor Incidence/prevalence Explanation and default value incidence/prevalence Source incidence/prevalence RR PM10/PM2.5 (per 10 µg/m3) Lower Upper Disability weight Duration YLD per unit Source Costs per unit (€) Source
Annual number of days with bronchitis in children (age 6-12 years) PM10 loglinear DR 100000/14 18600 … per 100000 (Default Europe: 18600) PATY study (Hoek et al., 2012) 1.080 0.980 1.190 0.22500 0.00274 0.00062 WHO 2017a 49 Holland (2014), corrected to price levels of 2015. Amounts are based on the lower limits.
Incidence chronic bronchitis in adults (age 18+ years) PM10 loglinear DR 100000 390 … per 100000 (Default Europe: 390) HRAPIE: SAPALDIA 1.117 1.040 1.189 0.09900 10.00000 0.99000 Heimtsa & Intarese 2011 62712
Incidence of asthma symptoms in asthmatic children (age 5-19 years) PM10 loglinear DR 100000/0.17/365.25 4900 … per 100000 (Default West Europe: 4900, North and East Europe: 3500 HRAPIE 1.028 1.006 1.051 0.07000 0.00274 0.00019 Heimtsa & Intarese 2011 49
Hospitalizations, cardiovascular diseases (all ages) PM2.5 loglinear DR 100000 2416 … per 100000 (Default Europe) WHO 1.0091 1.0017 1.0166 0.58800 0.03800 0.02230 Bachmann & van der Kamp 2017 2574
Hospitalizations, respiratory diseases (all ages) PM2.5 loglinear DR 100000 1407 … per 100000 (Default Europe: 1848) WHO 1.0190 0.9982 1.0402 0.40800 0.03800 0.01550 Bachmann & van der Kamp 2017 2574
Restricted activity days (RADs) (including sick-leave, hospital emergency admission, symptom days) (all ages) PM2.5 loglinear DR 1 19 … days per person per year (Default Europe: 19) HRAPIE: Ostro et al., 1989 1.0470 1.0420 1.0530
Work days lost, working age population (age 20-65 years) PM2.5 loglinear DR 1 12 … days per worker per year (No Default Value) WHO 1.0460 1.0390 1.0530 0.09900 0.00274 0.00027 Heimtsa & Intarese 2011 152
Lung cancer (age 30+ years) PM2.5 loglinear DR 100000 64 … per 100000 (Default Europe: 49) WHO 1.0900 1.0400 1.1400 0.45100 1.00000 0.45100 WHO 2017a
Low birth weight (< 2500 g at term) (age 0 years) PM2.5 loglinear DR 100000 7100 … per 100000 (Default Europe: 6700) WHO 1.1900 1.0000 1.4200
Decline FEV1 PM2,5 (per 10 µg/m³) Lower Upper
Decreased lung function (FEV1) (age 6-12 years) in percentage. Linear DR PM2.5 loglinear DR 1,5% daling per 10 µg/m³ PM2,5 does not apply 1.5% -0.3% 3.2%
Mortality loglinear DR Incidence/prevalence Explanation and default value incidence/prevalence Source incidence/prevalence
Post-neonatal mortality (age 1-12 months = age 0 years *11/12) PM10 loglinear DR 100000 300 … per 100000 (Default Europe: 300) WHO 1.040 1.020 1.070 1 80 80 Heimtsa & Intarese 2011 67500 Holland (2014), corrected to price levels of 2015. Amounts are based on the lower limits.
Premature deaths due to PM10 (age 30+ years) PM10 loglinear DR 100000 1363.83537959465 … per 100000 attributable cases * 10.6 1.035 1.004 1.066 1 10.6 10.6 De Leeuw & Horálek 2016/5
Premature deaths due to PM2.5 (age 30+ years) PM2.5 loglinear DR 100000 1363.83537959465 … per 100000 attributable cases * 10.6 1.062 1.041 1.084
Premature deaths due to NO2 (age 30+ years) NO2 loglinear DR 100000 1363.83537959465 … per 100000 attributable cases * 10.6 1.020 1.010 1.030
Premature deaths due to EC (age 30+ years) EC loglinear DR 100000 1363.83537959465 … per 100000 attributable cases * 10.6 1.061 1.049 1.073
Mortality in premature mortality (decline in life expectancy) (age 30+ years) in days Decline in life expectancy in days Lower Upper
Due to PM10 (age 30+ years) PM10 linear DR (exposure – cutoff)/10* decline in life exposure (d) 1.035 1.004 1.066 120 14 223 Hoek et al., 2013
Due to PM2,5 (age 30+ years) PM2,5 linear DR (exposure – cutoff)/10* decline in life exposure (d) 1.062 1.041 1.084 210 140 281 Hoek et al., 2013
Due to NO2 (age 30+ years) NO2 linear DR (exposure – cutoff)/10* decline in life exposure (d) 1.020 1.010 1.030 69 35 103 Atkinson et al., 2018
Due to EC (age 30+ years) EC linear DR (exposure – cutoff)* decline in life exposure (d) MIKSI EI JAETA 10 KUTEN MUUT? 1.061 1.049 1.073 206 167 246 Hoek et al., 2013