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Sources of air pollution
Average PM2.5 annual mean concentrations
by station type (EEA 2020)
µg/m3
Rural, Industrial
Urban, Suburban,
Traffic
WHO Air Quality
Guideline
Long term effects of PM2.5:
cohort studies
Harvard Six Cities Study
Dockery, NEJM 1993
Harvard Six Cities Study
Dockery, NEJM 1993
Associations between fine particles and mortality in
the Six Cities Study (Dockery, NEJM 1993)
Canadian nationwide study: Crouse, EHP 2012
All-Cause
Mortality
Crouse, EHP 2012
WHO
AQG
CEANS
DCH
DNC
E3N
EPIC-NL
EPIC-Varese
HNR
KORA
VHM&PP
Pooled cohort
• N = 392,826
• Extensive covariate information
Belgian
Danish
Dutch
English
Norwegian
Rome
Swiss
Administrative cohorts
• N = 27,910,693
• Limited covariate info (except English)
• Analyzed individually -> Meta-analysis
0 2 M 4 M 6 M 8 M 10 M 12 M
Europe-wide hybrid land use
regression models (100x100 m)
Land use and road data, with
satellite observations and
dispersion model estimates as
additional predictors
PM2.5 Full Model
Inset 1
PM2.5 conc
µg/m3
Central exposure assessment
Local exposure models
Existing LUR and/or dispersion
models
ELAPSE concentration-response
functions for natural-cause mortality
WHO
AQG
WHO
AQG
Ensemble curve for PM2.5 and all-cause
mortality (Burnett, PNAS 2018)
40 cohorts worldwide
WHO
AQG
Short-term effects of PM: Episodes and
time series studies
Air pollution and mortality in the
London smog of 1952
Russia, summer 2010
Shaposhnikov,
EPIDEMIOLOG
2014
Pooled concentration-response curve for
PM2.5 and mortality from time series studies
in 652 cities (Liu, NEJM 2019)
Lancet
2017
Studies on air pollution and
Covid-19
• ‘ecological’: Cole, The Netherlands, investigating
tests, hospital admissions, deaths
• ‘semi-ecological’: Bowe, USA, hospital admissions
among veterans with positive Sars-CoV2 test
• ‘individual’: Elliott, UK, mortality among subjects in
UK Biobank who tested positive or negative for
Sars-CoV2
Environmental and Resource Economics
https://doi.org/10.1007/s10640-020-00491-
4
Features of Cole study
• Ecological analysis of 355 municipalities
• 46,000 positive tests, ~11,600 hospital
admissions, ~4,000 deaths until June 5,
2020
• Air pollution from 1x1 km maps 2015-2019
• Air pollution and covariates calculated as
means per km2 of municipality surface
area; average surface= ~120 km2
Municipality De Bilt
De Bilt = :
De Bilt
Bilthoven
Groenekan
Maartensdijk
Westbroek
Hollandsche Rading
RIVM NO2 2018
COVID-19 (March-June 2020) in The
Netherlands: Spatial correlations
School
vacation
February
2020
Carnival
Feb 23-26
North: Feb 15-21
Middle: Feb 22-28
South: Feb 22-28
15-29/09
Methods
• A national cohort of 169,102 US Veterans with
COVID-19 positive test aimed to examine the
association between chronic exposure to PM2.5 and
risk of hospitalization.
• Estimates of annual average PM2.5 for the US in 2018
were available from satellite-based PM2.5 estimates
at approximately 1 km2 resolution
• Association in prespecified subgroups to identify
sensitive populations.
Covariates
Individual level covariates
• Age
• Race (Black, Other, and White, self-report during clinical
encounters)
• Sex
• Smoking status
Contextual characteristics at county level
• Socioeconomic deprivation (ADI), constructed from: income,
education, employment, and housing quality.
• Population density
• Percentage with limited access to healthy food etc.
Non-linear exposure response curve of the association
between PM2.5 and risk of hospitalization among a national
cohort of US Veterans who tested positive for COVID-19.
Effect modification of the association
between PM2.5 and risk of hospitalization by
race, age, sex, and deprivation (ADI)
Eur J Epidemiol 2021
• Subjects from UK Biobank with extensive covariate
information
• 459 COVID-19 deaths until September 21, 2020
• Air pollution (PM2.5, black carbon, NOx)
estimated for the year 2010 at the home address
Eur J Epidemiol 2021
• Significant independent risk factors:
• Age, male sex, black vs. white
• Healthcare worker, current smoker, having
cardiovascular disease, hypertension, diabetes,
autoimmune disease, and oral steroid use at
enrolment
• Air pollution not significant
Inequalities & Covid-19
• Higher exposure to SARS-CoV-2: crowded housing,
public transport, unable to work from home, work-
related infections etc.
• Greater vulnerability: poor diet, obesity, diabetes,
heart disease, lung disease
• Lower health literacy: less likely to understand and
follow precautionary measures such as social
distancing, use of face masks, unwillingness to get
vaccinated etc.
Air pollution & inequalities
• Exposure to air pollution may be higher in deprived
areas (but note: reverse examples exist!)
• Air pollution may be more damaging for subjects
who are in poor health already
• Air pollution may be more damaging for subjects
with poor diets, poor physical condition etc.
Air pollution and Covid-19
• Air pollution increases diabetes, heart disease, lung
disease
• Air pollution increases susceptibility to bacterial
and viral airway infections
• >> air pollution is likely to have some effect on risk
of SARS-CoV-2 infections; on Covid-19 disease
severity & hospitalisation; and on case-fatality rate
once disease has developed
• Field of study still in its infancy
3.5.5. How do we make progress?
Where do we look for progress? Studies at the individual
level are urgently needed in which the incidence,
progression and remission of COVID-19 is investigated in
large, well characterised cohorts
• Define outcome measures
• Study well-defined patients
• Study well-defined population-based cohorts
• Develop suitable co-variates
• Test negative designs
• Virus sequencing (only small studies)
• Define relevant exposure time windows
• Time series studies with/without lockdown measures
WHO AQG were last
revised in 2005
• New update almost finished
• Systematic reviews published in Environment
International
• Update follows a detailed WHO handbook for
guideline development
• Publication expected summer 2021
46

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Air Pollution and COVID-19, Bert Brunekreef

  • 1.
  • 2.
  • 3. Sources of air pollution
  • 4. Average PM2.5 annual mean concentrations by station type (EEA 2020) µg/m3 Rural, Industrial Urban, Suburban, Traffic WHO Air Quality Guideline
  • 5. Long term effects of PM2.5: cohort studies
  • 6. Harvard Six Cities Study Dockery, NEJM 1993
  • 7. Harvard Six Cities Study Dockery, NEJM 1993
  • 8. Associations between fine particles and mortality in the Six Cities Study (Dockery, NEJM 1993)
  • 9. Canadian nationwide study: Crouse, EHP 2012
  • 11.
  • 12. CEANS DCH DNC E3N EPIC-NL EPIC-Varese HNR KORA VHM&PP Pooled cohort • N = 392,826 • Extensive covariate information
  • 13. Belgian Danish Dutch English Norwegian Rome Swiss Administrative cohorts • N = 27,910,693 • Limited covariate info (except English) • Analyzed individually -> Meta-analysis 0 2 M 4 M 6 M 8 M 10 M 12 M
  • 14. Europe-wide hybrid land use regression models (100x100 m) Land use and road data, with satellite observations and dispersion model estimates as additional predictors PM2.5 Full Model Inset 1 PM2.5 conc µg/m3 Central exposure assessment Local exposure models Existing LUR and/or dispersion models
  • 15. ELAPSE concentration-response functions for natural-cause mortality WHO AQG WHO AQG
  • 16. Ensemble curve for PM2.5 and all-cause mortality (Burnett, PNAS 2018) 40 cohorts worldwide WHO AQG
  • 17. Short-term effects of PM: Episodes and time series studies
  • 18. Air pollution and mortality in the London smog of 1952
  • 21. Pooled concentration-response curve for PM2.5 and mortality from time series studies in 652 cities (Liu, NEJM 2019)
  • 23. Studies on air pollution and Covid-19 • ‘ecological’: Cole, The Netherlands, investigating tests, hospital admissions, deaths • ‘semi-ecological’: Bowe, USA, hospital admissions among veterans with positive Sars-CoV2 test • ‘individual’: Elliott, UK, mortality among subjects in UK Biobank who tested positive or negative for Sars-CoV2
  • 24. Environmental and Resource Economics https://doi.org/10.1007/s10640-020-00491- 4
  • 25. Features of Cole study • Ecological analysis of 355 municipalities • 46,000 positive tests, ~11,600 hospital admissions, ~4,000 deaths until June 5, 2020 • Air pollution from 1x1 km maps 2015-2019 • Air pollution and covariates calculated as means per km2 of municipality surface area; average surface= ~120 km2
  • 26.
  • 28. De Bilt = : De Bilt Bilthoven Groenekan Maartensdijk Westbroek Hollandsche Rading
  • 30. COVID-19 (March-June 2020) in The Netherlands: Spatial correlations School vacation February 2020 Carnival Feb 23-26 North: Feb 15-21 Middle: Feb 22-28 South: Feb 22-28
  • 32.
  • 33. Methods • A national cohort of 169,102 US Veterans with COVID-19 positive test aimed to examine the association between chronic exposure to PM2.5 and risk of hospitalization. • Estimates of annual average PM2.5 for the US in 2018 were available from satellite-based PM2.5 estimates at approximately 1 km2 resolution • Association in prespecified subgroups to identify sensitive populations.
  • 34. Covariates Individual level covariates • Age • Race (Black, Other, and White, self-report during clinical encounters) • Sex • Smoking status Contextual characteristics at county level • Socioeconomic deprivation (ADI), constructed from: income, education, employment, and housing quality. • Population density • Percentage with limited access to healthy food etc.
  • 35. Non-linear exposure response curve of the association between PM2.5 and risk of hospitalization among a national cohort of US Veterans who tested positive for COVID-19.
  • 36. Effect modification of the association between PM2.5 and risk of hospitalization by race, age, sex, and deprivation (ADI)
  • 37. Eur J Epidemiol 2021 • Subjects from UK Biobank with extensive covariate information • 459 COVID-19 deaths until September 21, 2020 • Air pollution (PM2.5, black carbon, NOx) estimated for the year 2010 at the home address
  • 38. Eur J Epidemiol 2021 • Significant independent risk factors: • Age, male sex, black vs. white • Healthcare worker, current smoker, having cardiovascular disease, hypertension, diabetes, autoimmune disease, and oral steroid use at enrolment • Air pollution not significant
  • 39.
  • 40.
  • 41.
  • 42. Inequalities & Covid-19 • Higher exposure to SARS-CoV-2: crowded housing, public transport, unable to work from home, work- related infections etc. • Greater vulnerability: poor diet, obesity, diabetes, heart disease, lung disease • Lower health literacy: less likely to understand and follow precautionary measures such as social distancing, use of face masks, unwillingness to get vaccinated etc.
  • 43. Air pollution & inequalities • Exposure to air pollution may be higher in deprived areas (but note: reverse examples exist!) • Air pollution may be more damaging for subjects who are in poor health already • Air pollution may be more damaging for subjects with poor diets, poor physical condition etc.
  • 44. Air pollution and Covid-19 • Air pollution increases diabetes, heart disease, lung disease • Air pollution increases susceptibility to bacterial and viral airway infections • >> air pollution is likely to have some effect on risk of SARS-CoV-2 infections; on Covid-19 disease severity & hospitalisation; and on case-fatality rate once disease has developed • Field of study still in its infancy
  • 45. 3.5.5. How do we make progress? Where do we look for progress? Studies at the individual level are urgently needed in which the incidence, progression and remission of COVID-19 is investigated in large, well characterised cohorts • Define outcome measures • Study well-defined patients • Study well-defined population-based cohorts • Develop suitable co-variates • Test negative designs • Virus sequencing (only small studies) • Define relevant exposure time windows • Time series studies with/without lockdown measures
  • 46. WHO AQG were last revised in 2005 • New update almost finished • Systematic reviews published in Environment International • Update follows a detailed WHO handbook for guideline development • Publication expected summer 2021 46