Kees de Hoogh, PD, PhD
Kees is an environmental exposure scientist and assistant professor working at the Swiss Tropical and Public Health Institute in Basel, Switzerland. He specialises in spatial modelling and exposure assessment for studies on environment and health. His recent focus involves cutting edge fine resolution spatio-temporal modelling to derive refined exposures using satellite and ancillary data. He has been involved in a number of large projects (BioSHARE, ESCAPE, ELAPSE) where he co-led the air pollution exposure assessment, and currently is a co-PI of the EXPANSE and PI of MOBI-AIR studies. In Switzerland he has collaborations with the Luftibus and BILD cohorts.
Chen J, de Hoogh K, Gulliver J, Hoffmann B, Hertel O, Ketzel M, Bauwelinck M, van Donkelaar A, Hvidtfeldt U.A, Katsouyanni K, Janssen N.A.H, Martin R.V, Samoli E, Schwartz P.E, Stafoggia M, Bellander T, Strak M, Wolf K, Vienneau D, Vermeulen R, Brunekreef B, Hoek G. A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide. Environ Int. 2019;130:104934. DOI: 10.1016/j.envint.2019.104934
de Hoogh K, Saucy A, Shtein A, Schwartz J, West E.A, Strassmann A, Puhan M, Röösli M, Stafoggia M, Kloog I. Predicting fine-scale daily NO2 for 2005-2016 incorporating OMI satellite data across Switzerland. Environ Sci Technol. 2019;53(17):10279-10287. DOI: 10.1021/acs.est.9b03107
Doiron D, de Hoogh K, Probst-Hensch N, Fortier I, Cai Y, De Matteis S, Hansell A.L. Air pollution, lung function and COPD: results from the population-based UK Biobank study. Eur Respir J. 2019;54(1):1802140. DOI: 10.1183/13993003.02140-2018