2019

Baerenbold, O., Meis, M., Martı́nez-Hernández, I., Euán, C., Burr, W. S., Tremper, A., Fuller, G., Pirani, M. and Blangiardo, M. (2023). A dependent bayesian dirichlet process model for source apportionment of particle number size distribution. Environmetrics 34, e2763.

Bagnardi, V., Blangiardo, M., La Vecchia, C. and Corrao, G. (2001a). A meta-analysis of alcohol drinking and cancer risk. British journal of cancer 85, 1700–1705.

Bagnardi, V., Blangiardo, M., La Vecchia, C. and Corrao, G. (2001b). Alcohol consumption and the risk of cancer: A meta-analysis. Alcohol Research & Health 25, 263.

Baio, G. and Blangiardo, M. (2007). An introduction to bayesian modelling for social sciences. SAGE Publisher.

Baio, G. and Blangiardo, M. (2010). Bayesian hierarchical model for the prediction of football results. Journal of Applied Statistics 37, 253–264.

Baio, G., Carlo Blangiardo, G. and Blangiardo, M. (2011). Centre sampling technique in foreign migration surveys: A methodological note. Journal of Official Statistics 27, 451.

Barrera, L., Leaper, C., Pape, U. J., Majeed, A., Blangiardo, M. and Millett, C. (2014). Impact of ethnic-specific guidelines for anti-hypertensive prescribing in primary care in england: A longitudinal study. BMC Health Services Research 14, 1–11.

Barrera, L., Millett, C., Blangiardo, M., Pape, U. J. and Majeed, A. (2012). Differences in the classification of hypertensive controlled patient in primary care: Cross sectional study. JRSM Short Reports 3, 1–8.

Bennett, J. E., Blangiardo, M., Fecht, D., Elliott, P. and Ezzati, M. (2014). Vulnerability to the mortality effects of warm temperature in the districts of england and wales. Nature Climate Change 4, 269–273.

Bermudi, P. M. M., Costa, D. N. C. C., Nunes, C. M., Tolezano, J. E., Hiramoto, R. M., Rodas, L. A. C., Cipriano, R. S., Blangiardo, M. and Chiaravalloti-Neto, F. (2020). Canine serological survey and dog culling and its relationship with human visceral leishmaniasis in an endemic urban area. BMC Infectious Diseases 20, 1–11.

Blangiardo, M. and Baio, G. (2014). Evidence of bias in the eurovision song contest: Modelling the votes using bayesian hierarchical models. Journal of Applied Statistics 41, 2312–2322.

Blangiardo, M., Boulieri, A., Diggle, P., Piel, F. B., Shaddick, G. and Elliott, P. (2020a). Advances in spatiotemporal models for non-communicable disease surveillance. International Journal of Epidemiology 49, i26–i37.

Blangiardo, M. and Cameletti, M. (2016). Computational issues and r packages for spatial data analysis. In Handbook of spatial epidemiology. Chapman; Hall/CRC. pp 435–466.

Blangiardo, M. and Cameletti, M. (2015). Spatial and spatio-temporal bayesian models with r-INLA.

Blangiardo, M., Cameletti, M., Baio, G. and Rue, H. (2013). Spatial and spatio-temporal models with r-INLA. Spatial and spatio-temporal epidemiology 4, 33–49.

Blangiardo, M., Cameletti, M., Pirani, M., Corsetti, G., Battaglini, M. and Baio, G. (2020b). Estimating weekly excess mortality at sub-national level in italy during the COVID-19 pandemic. PloS one 15, e0240286.

Blangiardo, M., Cassese, A. and Richardson, S. (2010). Sdef: An r package to synthesize lists of significant features in related experiments. BMC bioinformatics 11, 1–10.

Blangiardo, M., Finazzi, F. and Cameletti, M. (2016). Two-stage bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions. Spatial and spatio-temporal epidemiology 18, 1–12.

Blangiardo, M., Pirani, M., Kanapka, L., Hansell, A. and Fuller, G. (2019). A hierarchical modelling approach to assess multi pollutant effects in time-series studies. PLoS One 14, e0212565.

Blangiardo, M. and Richardson, S. (2008). A bayesian calibration model for combining different pre-processing methods in affymetrix chips. BMC bioinformatics 9, 1–15.

Blangiardo, M. and Richardson, S. (2007). Statistical tools for synthesizing lists of differentially expressed features in related experiments. Genome Biology 8, 1–17.

Blangiardo, M., Richardson, S., Gulliver, J. and Hansell, A. (2011). A bayesian analysis of the impact of air pollution episodes on cardio-respiratory hospital admissions in the greater london area. Statistical methods in medical research 20, 69–80.

Blangiardo, M., Toti, S., Giusti, B., Abbate, R., Magi, A., Poggi, F., Rossi, L., Torricelli, F. and Biggeri, A. (2006). Using a calibration experiment to assess gene-specific information: Full bayesian and empirical bayesian models for two-channel microarray data. Bioinformatics 22, 50–57.

Boszczowski, Í., Neto, F. C., Blangiardo, M., Baquero, O. S., Madalosso, G., Assis, D. B. de, Olitta, T. and Levin, A. S. (2020). Total antibiotic use in a state-wide area and resistance patterns in brazilian hospitals: An ecologic study. The Brazilian Journal of Infectious Diseases 24, 479–488.

Boulieri, A., Bennett, J. E. and Blangiardo, M. (2020). A bayesian mixture modeling approach for public health surveillance. Biostatistics 21, 369–383.

Boulieri, A. and Blangiardo, M. (2020). Spatio-temporal model to estimate life expectancy and to detect unusual trends at the local authority level in england. BMJ open 10, e036855.

Boulieri, A., Hansell, A. and Blangiardo, M. (2016). Investigating trends in asthma and COPD through multiple data sources: A small area study. Spatial and spatio-temporal epidemiology 19, 28–36.

Boulieri, A., Liverani, S., Hoogh, K. and Blangiardo, M. (2017). A space–time multivariate bayesian model to analyse road traffic accidents by severity. Journal of the Royal Statistical Society Series A: Statistics in Society 180, 119–139.

Bucyibaruta, G., Blangiardo, M. and Konstantinoudis, G. (2022). Community-level characteristics of COVID-19 vaccine hesitancy in england: A nationwide cross-sectional study. European Journal of Epidemiology 37, 1071–1081.

Burney, P., Patel, J., Minelli, C., Gnatiuc, L., Amaral, A. F., Kocabaş, A., Cherkaski, H. H., Gulsvik, A., Nielsen, R., Bateman, E., et al. (2021). Prevalence and population-attributable risk for chronic airflow obstruction in a large multinational study. American journal of respiratory and critical care medicine 203, 1353–1365.

Cai, Y., Hansell, A. L., Blangiardo, M., Burton, P. R., BioShaRe, Hoogh, K. de, Doiron, D., Fortier, I., Gulliver, J., Hveem, K., et al. (2017a). Long-term exposure to road traffic noise, ambient air pollution, and cardiovascular risk factors in the HUNT and lifelines cohorts. European heart journal 38, 2290–2296.

Cai, Y., Hansell, A. L., Granell, R., Blangiardo, M., Zottoli, M., Fecht, D., Gulliver, J., Henderson, A. J. and Elliott, P. (2020). Prenatal, early-life, and childhood exposure to air pollution and lung function: The ALSPAC cohort. American Journal of Respiratory and Critical Care Medicine 202, 112–123.

Cai, Y., Hodgson, S., Blangiardo, M., Gulliver, J., Morley, D., Fecht, D., Vienneau, D., Hoogh, K. de, Key, T., Hveem, K., et al. (2018). Road traffic noise, air pollution and incident cardiovascular disease: A joint analysis of the HUNT, EPIC-oxford and UK biobank cohorts. Environment international 114, 191–201.

Cai, Y., Zijlema, W. L., Doiron, D., Blangiardo, M., Burton, P. R., Fortier, I., Gaye, A., Gulliver, J., De Hoogh, K., Hveem, K., et al. (2017b). Ambient air pollution, traffic noise and adult asthma prevalence: A BioSHaRE approach. European Respiratory Journal 49. https://doi.org/10.1183/13993003.02127-2015.

Cameletti, M., Gomez-Rubio, V. and Blangiardo, M. (2019). Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach. Spatial Statistics 31, 100353.

Caputo, B., Manica, M., Filipponi, F., Blangiardo, M., Cobre, P., Delucchi, L., De Marco, C. M., Iesu, L., Morano, P., Petrella, V., et al. (2020). ZanzaMapp: A scalable citizen science tool to monitor perception of mosquito abundance and nuisance in italy and beyond. International Journal of Environmental Research and Public Health 17, 7872.

Carreras, G., Chellini, E. and Blangiardo, M. (2012). A bayesian model for studying urban air pollution and respiratory symptoms in children. International Journal of Environment and Health 6, 125–140.

Chiaravalloti-Neto, F., Silva, R. A. da, Zini, N., Silva, G. C. D. da, Silva, N. S. da, Parra, M. C. P., Dibo, M. R., Estofolete, C. F., Fávaro, E. A., Dutra, K. R., et al. (2019). Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of sao paulo, brazil. BMC infectious diseases 19, 1–14.

Costa, D. N. C. C., Blangiardo, M., Rodas, L. A. C., Nunes, C. M., Hiramoto, R. M., Tolezano, J. E., Bonfietti, L. X., Bermudi, P. M. M., Cipriano, R. S., Cardoso, G. C. D., et al. (2018). Canine visceral leishmaniasis in araçatuba, state of sao paulo, brazil, and its relationship with characteristics of dogs and their owners: A cross-sectional and spatial analysis using a geostatistical approach. BMC veterinary research 14, 1–13.

Davies, B., Parkes, B. L., Bennett, J., Fecht, D., Blangiardo, M., Ezzati, M. and Elliott, P. (2021). Community factors and excess mortality in first wave of the COVID-19 pandemic in england. Nature communications 12, 3755.

Dehbi, H.-M., Blangiardo, M., Gulliver, J., Fecht, D., De Hoogh, K., Al-Kanaani, Z., Tillin, T., Hardy, R., Chaturvedi, N. and Hansell, A. L. (2017). Air pollution and cardiovascular mortality with over 25 years follow-up: A combined analysis of two british cohorts. Environment international 99, 275–281.

Douglas, P., Freni-Sterrantino, A., Leal Sanchez, M., Ashworth, D. C., Ghosh, R. E., Fecht, D., Font, A., Blangiardo, M., Gulliver, J., Toledano, M. B., et al. (2017). Estimating particulate exposure from modern municipal waste incinerators in great britain. Environmental science & technology 51, 7511–7519.

Floud, S., Blangiardo, M., Clark, C., De Hoogh, K., Babisch, W., Houthuijs, D., Swart, W., Pershagen, G., Katsouyanni, K., Velonakis, M., et al. (2013). Exposure to aircraft and road traffic noise and associations with heart disease and stroke in six european countries: A cross-sectional study. Environmental health 12, 1–11.

Floud, S., Vigna-Taglianti, F., Hansell, A., Blangiardo, M., Houthuijs, D., Breugelmans, O., Cadum, E., Babisch, W., Selander, J., Pershagen, G., et al. (2011). Medication use in relation to noise from aircraft and road traffic in six european countries: Results of the HYENA study. Occupational and environmental medicine 68, 518–524.

Font, A., Guiseppin, L., Blangiardo, M., Ghersi, V. and Fuller, G. W. (2019). A tale of two cities: Is air pollution improving in paris and london? Environmental Pollution 249, 1–12.

Forlani, C., Bhatt, S., Cameletti, M., Krainski, E. and Blangiardo, M. (2020). A joint bayesian space–time model to integrate spatially misaligned air pollution data in r-INLA. Environmetrics 31, e2644.

Freni-Sterrantino, A., Ghosh, R., Fecht, D., Toledano, M., Elliott, P., Hansell, A. and Blangiardo, M. (2019). Bayesian spatial modelling for quasi-experimental designs: An interrupted time series study of the opening of municipal waste incinerators in relation to infant mortality and sex ratio. Environment international 128, 109–115.

Ghosh, R. E., Freni-Sterrantino, A., Douglas, P., Parkes, B., Fecht, D., Hoogh, K. de, Fuller, G., Gulliver, J., Font, A., Smith, R. B., et al. (2019). Fetal growth, stillbirth, infant mortality and other birth outcomes near UK municipal waste incinerators; retrospective population based cohort and case-control study. Environment international 122, 151–158.

Ghosh*, R., Blangiardo, M., Perkins, C., Vienneau, D., Goffe, K., Briggs, D., Gulliver, J. and Hansell, A. (2016). Historic air pollution exposure and cause-specific mortality risks in england and wales. In ISEE conference abstracts 28. pp O–108.

Haining, R., Li, G., Maheswaran, R., Blangiardo, M., Law, J., Best, N. and Richardson, S. (2010). Inference from ecological models: Estimating the relative risk of stroke from air pollution exposure using small area data. Spatial and spatio-temporal epidemiology 1, 123–131.

Halonen, J. I., Blangiardo, M., Toledano, M. B., Fecht, D., Gulliver, J., Anderson, H. R., Beevers, S. D., Dajnak, D., Kelly, F. J. and Tonne, C. (2016a). Long-term exposure to traffic pollution and hospital admissions in london. Environmental Pollution 208, 48–57.

Halonen, J. I., Blangiardo, M., Toledano, M. B., Fecht, D., Gulliver, J., Ghosh, R., Anderson, H. R., Beevers, S. D., Dajnak, D., Kelly, F. J., et al. (2016b). Is long-term exposure to traffic pollution associated with mortality? A small-area study in london. Environmental Pollution 208, 25–32.

Halonen, J. I., Dehbi, H.-M., Hansell, A. L., Gulliver, J., Fecht, D., Blangiardo, M., Kelly, F. J., Chaturvedi, N., Kivimäki, M. and Tonne, C. (2017). Associations of night-time road traffic noise with carotid intima-media thickness and blood pressure: The whitehall II and SABRE study cohorts. Environment International 98, 54–61.

Halonen, J. I., Hansell, A. L., Gulliver, J., Morley, D., Blangiardo, M., Fecht, D., Toledano, M. B., Beevers, S. D., Anderson, H. R., Kelly, F. J., et al. (2015). Road traffic noise is associated with increased cardiovascular morbidity and mortality and all-cause mortality in london. European heart journal 36, 2653–2661.

Hansell, A., Blangiardo, M., Fortunato, L., Floud, S., De Hoogh, K., Fecht, D., Ghosh, R. E., Laszlo, H. E., Pearson, C., Beale, L., et al. (2013a). Aircraft noise and cardiovascular disease near heathrow airport in london: Small area study. BMJ 347, f5432.

Hansell, A., Blangiardo, M., Fortunato, L., Floud, S., Hoogh, K. de, Fecht, D., Ghosh, R. E., Laszlo, H. E., Pearson, C., Beale, L., et al. (2013b). Aircraft noise and cardiovascular disease near heathrow airport in london: Small area study. Bmj 347. https://doi.org/10.1136/bmj.f5432.

Hansell, A., Blangiardo, M., Morris, C., Vienneau, D., Gulliver, J., Lee, K. and Briggs, D. (2011). Association between black smoke and SO2 air pollution exposures in 1971 and mortality 1972–2007 in great britain. Epidemiology 22, S29.

Hansell, A., Ghosh, R. E., Blangiardo, M., Perkins, C., Vienneau, D., Goffe, K., Briggs, D. and Gulliver, J. (2016). Historic air pollution exposure and long-term mortality risks in england and wales: Prospective longitudinal cohort study. Thorax 71, 330–338.

Huang, G., Blangiardo, M., Brown, P. E. and Pirani, M. (2021). Long-term exposure to air pollution and COVID-19 incidence: A multi-country study. Spatial and Spatio-temporal Epidemiology 39, 100443.

Konstantinoudis, G., Cameletti, M., Gómez-Rubio, V., Gómez, I. L., Pirani, M., Baio, G., Larrauri, A., Riou, J., Egger, M., Vineis, P., et al. (2022a). Regional excess mortality during the 2020 COVID-19 pandemic in five european countries. Nature communications 13, 482.

Konstantinoudis, G., Minelli, C., Lam, H. C. Y., Fuertes, E., Ballester, J., Davies, B., Vicedo-Cabrera, A. M., Gasparrini, A. and Blangiardo, M. (2023). Asthma hospitalisations and heat exposure in england: A case–crossover study during 2002–2019. thorax. https://thorax.bmj.com/content/early/2023/04/17/thorax-2022-219901.

Konstantinoudis, G., Minelli, C., Vicedo-Cabrera, A. M., Ballester, J., Gasparrini, A. and Blangiardo, M. (2022b). Ambient heat exposure and COPD hospitalisations in england: A nationwide case-crossover study during 2007–2018. Thorax 77, 1098–1104.

Konstantinoudis, G., Padellini, T., Bennett, J., Davies, B., Ezzati, M. and Blangiardo, M. (2021). Long-term exposure to air-pollution and COVID-19 mortality in england: A hierarchical spatial analysis. Environment international 146, 106316.

Lavigne, A., Freni-Sterrantino, A., Fecht, D., Liverani, S., Blangiardo, M., De Hoogh, K., Molitor, J. and Hansell, A. L. (2020). A spatial joint analysis of metal constituents of ambient particulate matter and mortality in england. Environmental Epidemiology 4. https://doi.org/10.1097/EE9.0000000000000098.

Lavigne, A., Sterrantino, A. F., Liverani, S., Blangiardo, M., De Hoogh, K., Molitor, J. and Hansell, A. (2019). Associations between metal constituents of ambient particulate matter and mortality in england: An ecological study. BMJ open 9, e030140.

Li, G., Denise, H., Diggle, P., Grimsley, J., Holmes, C., James, D., Jersakova, R., Mole, C., Nicholson, G., Smith, C. R., et al. (2023). A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic. Environment international 172, 107765.

Liverani, S., Lavigne, A. and Blangiardo, M. (2016). Modelling collinear and spatially correlated data. Spatial and spatio-temporal epidemiology 18, 63–73.

Lowe, R., Lee, S. A., O’Reilly, K. M., Brady, O. J., Bastos, L., Carrasco-Escobar, G., Castro Catão, R. de, Colón-González, F. J., Barcellos, C., Carvalho, M. S., et al. (2021). Combined effects of hydrometeorological hazards and urbanisation on dengue risk in brazil: A spatiotemporal modelling study. The Lancet Planetary Health 5, e209–e219.

Luceri, C., Filippo, C. D., Giovannelli, L., Blangiardo, M., Cavalieri, D., Aglietti, F., Pampaloni, M., Andreuccetti, D., Pieri, L., Bambi, F., et al. (2005). Extremely low-frequency electromagnetic fields do not affect DNA damage and gene expression profiles of yeast and human lymphocytes. Radiation Research 164, 277–285.

Manica, M., Caputo, B., Screti, A., Filipponi, F., Rosà, R., Solimini, A., Torre, A. della and Blangiardo, M. (2019). Applying the n-mixture model approach to estimate mosquito population absolute abundance from monitoring data. Journal of Applied Ecology 56, 2225–2235.

Mustapha, B. A., Blangiardo, M., Briggs, D. J. and Hansell, A. L. (2011). Traffic air pollution and other risk factors for respiratory illness in schoolchildren in the niger-delta region of nigeria. Environmental health perspectives 119, 1478–1482.

Nicholson, G., Blangiardo, M., Briers, M., Diggle, P. J., Fjelde, T. E., Ge, H., Goudie, R. J., Jersakova, R., King, R. E., Lehmann, B. C., et al. (2022a). Interoperability of statistical models in pandemic preparedness: Principles and reality. Statistical science: a review journal of the Institute of Mathematical Statistics 37, 183.

Nicholson, G., Lehmann, B., Padellini, T., Pouwels, K. B., Jersakova, R., Lomax, J., King, R. E., Mallon, A.-M., Diggle, P. J., Richardson, S., et al. (2022b). Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework. Nature Microbiology 7, 97–107.

Nomura, S., Blangiardo, M., Tsubokura, M., Nishikawa, Y., Gilmour, S., Kami, M. and Hodgson, S. (2015). Mortality risk amongst nursing home residents evacuated after the fukushima nuclear accident: Shuhei nomura. The European Journal of Public Health 25, ckv175–081.

Nomura, S., Blangiardo, M., Tsubokura, M., Nishikawa, Y., Gilmour, S., Kami, M. and Hodgson, S. (2016a). Post-nuclear disaster evacuation and survival amongst elderly people in fukushima: A comparative analysis between evacuees and non-evacuees. Preventive medicine 82, 77–82.

Nomura, S., Blangiardo, M., Tsubokura, M., Ochi, S. and Hodgson, S. (2016b). School restrictions on outdoor activities and weight status in adolescent children after japan’s 2011 fukushima nuclear power plant disaster: A mid-term to long-term retrospective analysis. BMJ open 6, e013145.

Nomura, S., Blangiardo, M., Tsubokura, M., Ozaki, A., Morita, T. and Hodgson, S. (2016c). Postnuclear disaster evacuation and chronic health in adults in fukushima, japan: A long-term retrospective analysis. BMJ open 6, e010080.

Nomura, S., Tsubokura, M., Ozaki, A., Murakami, M., Hodgson, S., Blangiardo, M., Nishikawa, Y., Morita, T. and Oikawa, T. (2017). Towards a long-term strategy for voluntary-based internal radiation contamination monitoring: A population-level analysis of monitoring prevalence and factors associated with monitoring participation behavior in fukushima, japan. International Journal of Environmental Research and Public Health 14, 397.

Padellini, T., Jersakova, R., Diggle, P. J., Holmes, C., King, R. E., Lehmann, B. C., Mallon, A.-M., Nicholson, G., Richardson, S. and Blangiardo, M. (2022). Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in england: A population-based ecological study. The Lancet Regional Health-Europe 15, 100322.

Petit, C., Blangiardo, M., Richardson, S., Coquet, F., Chevrier, C. and Cordier, S. (2012). Association of environmental insecticide exposure and fetal growth with a bayesian model including multiple exposure sources: The PELAGIE mother-child cohort. American journal of epidemiology 175, 1182–1190.

Piel, F. B., Fecht, D., Hodgson, S., Blangiardo, M., Toledano, M., Hansell, A. and Elliott, P. (2020). Small-area methods for investigation of environment and health. International journal of epidemiology 49, 686–699.

Pirani, M., Best, N., Blangiardo, M., Liverani, S., Atkinson, R. W. and Fuller, G. W. (2015). Analysing the health effects of simultaneous exposure to physical and chemical properties of airborne particles. Environment international 79, 56–64.

Pirani, M., Gulliver, J., Fuller, G. W. and Blangiardo, M. (2014). Bayesian spatiotemporal modelling for the assessment of short-term exposure to particle pollution in urban areas. Journal of exposure science & environmental epidemiology 24, 319–327.

Pirani, M., Mason, A. J., Hansell, A. L., Richardson, S. and Blangiardo, M. (2020). A flexible hierarchical framework for improving inference in area-referenced environmental health studies. Biometrical Journal 62, 1650–1669.

Ponzi, E., Vineis, P., Chung, K. F. and Blangiardo, M. (2020). Accounting for measurement error to assess the effect of air pollution on omic signals. Plos one 15, e0226102.

Python, A., Bender, A., Blangiardo, M., Illian, J. B., Lin, Y., Liu, B., Lucas, T. C., Tan, S., Wen, Y., Svanidze, D., et al. (2022). A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales. Journal of the Royal Statistical Society Series A: Statistics in Society 185, 202–218.

Python, A., Illian, J. B., Jones-Todd, C. M. and Blangiardo, M. (2019a). A bayesian approach to modelling subnational spatial dynamics of worldwide non-state terrorism, 2010–2016. Journal of the Royal Statistical Society Series A: Statistics in Society 182, 323–344.

Python, A., Illian, J. B., Jones-Todd, C. M. and Blangiardo, M. (2019b). The deadly facets of terrorism. Significance 16, 28–31.

Rivera, O. R. de, Blangiardo, M., López-Quı́lez, A. and Martı́n-Sanz, I. (2019). Species distribution modelling through bayesian hierarchical approach. Theoretical Ecology 12, 49–59.

Roca-Barcelo, A., Douglas, P., Fecht, D., Sterrantino, A. F., Williams, B., Blangiardo, M., Gulliver, J., Hayes, E. T. and Hansell, A. L. (2020). Risk of respiratory hospital admission associated with modelled concentrations of aspergillus fumigatus from composting facilities in england. Environmental research 183, 108949.

Rodrı́guez de Rivera, Ó., López-Quı́lez, A. and Blangiardo, M. (2018). Assessing the spatial and spatio-temporal distribution of forest species via bayesian hierarchical modeling. Forests 9, 573.

Scheelbeek, P. F., Chowdhury, M. A., Haines, A., Alam, D. S., Hoque, M. A., Butler, A. P., Khan, A. E., Mojumder, S. K., Blangiardo, M. A., Elliott, P., et al. (2017). Drinking water salinity and raised blood pressure: Evidence from a cohort study in coastal bangladesh. Environmental Health Perspectives 125, 057007.

Scheelbeek, P. F., Chowdhury, M. A., Haines, A., Alam, D. S., Hoque, M. A., Butler, A. P., Khan, A. E., Mojumder, S. K., Blangiardo, M. A., Elliott, P., et al. (2016). High concentrations of sodium in drinking water and raised blood pressure in coastal deltas affected by episodic seawater inundations. The Lancet Global Health 4, S18.

Schneider, R., Masselot, P., Vicedo-Cabrera, A. M., Sera, F., Blangiardo, M., Forlani, C., Douros, J., Jorba, O., Adani, M., Kouznetsov, R., et al. (2022). Differential impact of government lockdown policies on reducing air pollution levels and related mortality in europe. Scientific reports 12, 726.

Sera, F., Armstrong, B., Blangiardo, M. and Gasparrini, A. (2019). An extended mixed-effects framework for meta-analysis. Statistics in Medicine 38, 5429–5444.

Sera, F., Hashizume, M., Honda, Y., Lavigne, E., Schwartz, J., Zanobetti, A., Tobias, A., Iñiguez, C., Vicedo-Cabrera, A. M., Blangiardo, M., et al. (2020). Air conditioning and heat-related mortality: A multi-country longitudinal study. Epidemiology 31, 779–787.

Shoari, N., Beevers, S., Brauer, M. and Blangiardo, M. (2022a). Towards healthy school neighbourhoods: A baseline analysis in greater london. Environment international 165, 107286.

Shoari, N., Heydari, S. and Blangiardo, M. (2023). A decade of child pedestrian safety in england: A bayesian spatio-temporal analysis. BMC public health 23, 1–13.

Shoari, N., Heydari, S. and Blangiardo, M. (2022b). School neighbourhood and compliance with WHO-recommended annual NO2 guideline: A case study of greater london. Science of The Total Environment 803, 150038.

Smith, R. B., Beevers, S. D., Gulliver, J., Dajnak, D., Fecht, D., Blangiardo, M., Douglass, M., Hansell, A. L., Anderson, H. R., Kelly, F. J., et al. (2020). Impacts of air pollution and noise on risk of preterm birth and stillbirth in london. Environment international 134, 105290.

Smith, R. B., Fecht, D., Gulliver, J., Beevers, S. D., Dajnak, D., Blangiardo, M., Ghosh, R. E., Hansell, A. L., Kelly, F. J., Anderson, H. R., et al. (2017). Impact of london’s road traffic air and noise pollution on birth weight: Retrospective population based cohort study. bmj 359. https://doi.org/10.1136/bmj.j5299.

Tang, R., Blangiardo, M. and Gulliver, J. (2013). Using building heights and street configuration to enhance intraurban PM10, NOx, and NO2 land use regression models. Environmental science & technology 47, 11643–11650.

Wang, Y., Pirani, M., Hansell, A. L., Richardson, S. and Blangiardo, M. (2019). Using ecological propensity score to adjust for missing confounders in small area studies. Biostatistics 20, 1–16.

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