Brauer M, Lencar C, Tamburic L, Koehoorn M, Demers P, Karr C (2008) A cohort study of trafficrelated air pollution impacts on birth outcomes. Environ Health Perspect 116:680–686
Beckerman BS, Jerrett M, Finkelstein M, Kanaroglou P, Brook JR, Arain MA, Sears MR, Stieb D,
Balmes J, Chapman K (2012) The association between chronic exposure to traffic-related air
pollution and ischemic heart disease. J Toxicol Environ Health A 75(7):402–411. https://doi.
org/10.1080/15287394.2012.670899
Beelen R, Hoek G, Fischer P, van den Brandt PA, Brunekreef B (2007) Estimated long-term
outdoor air pollution concentrations in a cohort study. Atmos Environ41:1343–1358
Bell ML (2006) The use of ambient air quality modeling to estimate individual and population
exposure for human health research: a case study of ozone in the Northern Georgia region of the
United States. Environ Int 32(5):586–593
Berrocal VJ, Gelfand AE, Holland DM (2010) A Spatio-temporal downscaler for output from
numerical models. JABES 15:176–197. https://doi.org/10.1007/s13253-009-0004-z
Blangiardo M, Hansell A, Richardson S (2011) A Bayesian model of time activity data to
investigate health effect of air pollution in time series studies. Atmos Environ 45:379–386
Brunekreef, Bert, Beelen, Rob, Hoek, Gerard, Schouten, Leo, Bausch-Goldbohm, Sandra, Fischer,
Paul, Armstrong, Benedict, Hughes, Edward, Jerrett, Michael, Brandt, Piet (2009) Effects of
long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in
the Netherlands, The NLCS-AIR study. Research report (Health Effects Institute). 139:5–71.
discussion 73
Cameletti et al (2019) Bayesian modelling for spatially misaligned health and air pollution data
through the INLA-SPDE approach. Spat Stat 31.(2019:100353
Chang HH, Pan A, Lary DJ et al (2019) Time-series analysis of satellite-derived fine particulate
matter pollution and asthma morbidity in Jackson. MS Environ Monit Assess 191:280. https://
doi.org/10.1007/s10661-019-7421-4
Cyrys J, Dietrich G, Kreyling W, Tuch T, Heinrich J (2001) PM2.5 measurements in ambient
aerosol: comparison between Harvard Impactor (HI) and the Tapered Element Oscillating
Microbalance (TEOM) system. Sci Total Environ 278(1–3):191–197
Dead M How do we know and what does it mean? Methods used in the comparative risk assessment
of household air pollution. Annual review of public health. 35(1):185–206
Dey S, Di Girolamo L (2010) A climatology of aerosol optical and microphysical properties over
the Indian subcontinent from 9 years (2000–2008) of Multiangle Imaging Spectroradiometer
(MISR) data. knt J Geophys Res 115(2010)
Diggle P (1990) A point process modelling approach to raised incidence of a rare phenomenon in
the vicinity of a prespecified point. J Roy Statist Soc Ser A 153(3):349–362
Diggle P (2003) Statistical analysis of spatial point patterns. In: Mathematics in biology. Arnold
Elliott P, Shaddick G, Wakefield JC, Hoogh CD, Briggs DJ (2007) Long-term associations of
outdoor air pollution with mortality in Great Britain. Thorax 62(12):1088–1094
Fu SH, Jha P, Gupta PC, Kumar R, Dikshit R et al (2014) Geospatial analysis on the distributions of
tobacco smoking and alcohol drinking in India. PLoS One 9(7)
Fuentes M, Song H-R, Ghosh SK, Holland DM, Davis JM (2006) Spatial association between
speciated fine particles and mortality. Biometrics 62(3):855–863
GBD Risk Factors Collaborators* , Forouzanfar MH, Alexander L, Anderson HR, Bachman VF,
Biryukov S, Brauer M, Burnett R, Casey D, Coates MM, Cohen A, Delwiche K (2013) Global,
regional, and national comparative risk assessment of 79 behavioural, environmental and
occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic
analysis for the Global Burden of Disease Study 2013, Lancet 2015, 386 (10010): 2287–2323.
https://doi.org/10.1016/S0140-6736(15)00128-2
Gelfand A, Diggle P, Fuentes M, Guttorp P (eds) (2010) Handbook of spatial statistics. Chapman &
Hall
Gillis D, Semanjski I, Lauwers D (2016) How to monitor sustainable mobility in cities? Literature
review in the frame of creating a set of sustainable mobility indicators. Sustainability 8:29
386
M. Prashanthi Devi et al.
Beckerman BS, Jerrett M, Finkelstein M, Kanaroglou P, Brook JR, Arain MA, Sears MR, Stieb D,
Balmes J, Chapman K (2012) The association between chronic exposure to traffic-related air
pollution and ischemic heart disease. J Toxicol Environ Health A 75(7):402–411. https://doi.
org/10.1080/15287394.2012.670899
Beelen R, Hoek G, Fischer P, van den Brandt PA, Brunekreef B (2007) Estimated long-term
outdoor air pollution concentrations in a cohort study. Atmos Environ41:1343–1358
Bell ML (2006) The use of ambient air quality modeling to estimate individual and population
exposure for human health research: a case study of ozone in the Northern Georgia region of the
United States. Environ Int 32(5):586–593
Berrocal VJ, Gelfand AE, Holland DM (2010) A Spatio-temporal downscaler for output from
numerical models. JABES 15:176–197. https://doi.org/10.1007/s13253-009-0004-z
Blangiardo M, Hansell A, Richardson S (2011) A Bayesian model of time activity data to
investigate health effect of air pollution in time series studies. Atmos Environ 45:379–386
Brunekreef, Bert, Beelen, Rob, Hoek, Gerard, Schouten, Leo, Bausch-Goldbohm, Sandra, Fischer,
Paul, Armstrong, Benedict, Hughes, Edward, Jerrett, Michael, Brandt, Piet (2009) Effects of
long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in
the Netherlands, The NLCS-AIR study. Research report (Health Effects Institute). 139:5–71.
discussion 73
Cameletti et al (2019) Bayesian modelling for spatially misaligned health and air pollution data
through the INLA-SPDE approach. Spat Stat 31.(2019:100353
Chang HH, Pan A, Lary DJ et al (2019) Time-series analysis of satellite-derived fine particulate
matter pollution and asthma morbidity in Jackson. MS Environ Monit Assess 191:280. https://
doi.org/10.1007/s10661-019-7421-4
Cyrys J, Dietrich G, Kreyling W, Tuch T, Heinrich J (2001) PM2.5 measurements in ambient
aerosol: comparison between Harvard Impactor (HI) and the Tapered Element Oscillating
Microbalance (TEOM) system. Sci Total Environ 278(1–3):191–197
Dead M How do we know and what does it mean? Methods used in the comparative risk assessment
of household air pollution. Annual review of public health. 35(1):185–206
Dey S, Di Girolamo L (2010) A climatology of aerosol optical and microphysical properties over
the Indian subcontinent from 9 years (2000–2008) of Multiangle Imaging Spectroradiometer
(MISR) data. knt J Geophys Res 115(2010)
Diggle P (1990) A point process modelling approach to raised incidence of a rare phenomenon in
the vicinity of a prespecified point. J Roy Statist Soc Ser A 153(3):349–362
Diggle P (2003) Statistical analysis of spatial point patterns. In: Mathematics in biology. Arnold
Elliott P, Shaddick G, Wakefield JC, Hoogh CD, Briggs DJ (2007) Long-term associations of
outdoor air pollution with mortality in Great Britain. Thorax 62(12):1088–1094
Fu SH, Jha P, Gupta PC, Kumar R, Dikshit R et al (2014) Geospatial analysis on the distributions of
tobacco smoking and alcohol drinking in India. PLoS One 9(7)
Fuentes M, Song H-R, Ghosh SK, Holland DM, Davis JM (2006) Spatial association between
speciated fine particles and mortality. Biometrics 62(3):855–863
GBD Risk Factors Collaborators* , Forouzanfar MH, Alexander L, Anderson HR, Bachman VF,
Biryukov S, Brauer M, Burnett R, Casey D, Coates MM, Cohen A, Delwiche K (2013) Global,
regional, and national comparative risk assessment of 79 behavioural, environmental and
occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic
analysis for the Global Burden of Disease Study 2013, Lancet 2015, 386 (10010): 2287–2323.
https://doi.org/10.1016/S0140-6736(15)00128-2
Gelfand A, Diggle P, Fuentes M, Guttorp P (eds) (2010) Handbook of spatial statistics. Chapman &
Hall
Gillis D, Semanjski I, Lauwers D (2016) How to monitor sustainable mobility in cities? Literature
review in the frame of creating a set of sustainable mobility indicators. Sustainability 8:29
386
M. Prashanthi Devi et al.