Mihye Lee

Faculty & Position:Public Health  associate professor
Last Updated: Jun. 04, 2020 at 05:06

Researcher Profile & Settings


  • Master of Arts in Geography


  • Master of Arts in Geography

Research Activities

Published Papers

  • Comparing apples to apples: an environmental criminology analysis of the effects of heat and rain on violent crimes in Boston
    Alice J. Sommer, Mihye Lee, Marie-Abèle C. Bind
    Palgrave Communications Oct. 2018 [Refereed]
  • Modelling spatio-temporally resolved air temperature across the complex geo-climate area of France using satellite-derived land surface temperature data
    Itai Kloog, Francesco Nordio, Johanna Lepeule, Andrea Padoan, Mihye Lee, Annick Auffray, Joel Schwartz
    INTERNATIONAL JOURNAL OF CLIMATOLOGY 37(1) 296-304 Jan. 2017 [Refereed]
    Climate change has focused attention on the effects of changing temperature, particularly the effect on human health. Thus, robust and accurate spatially and temporally resolved air temperature (T-a) data are of particular importance in the field of epidemiology and public health. However, most health studies to date have matched people to the nearest monitor. In this study, we aimed to develop a robust satellite-based spatio-temporally resolved T-a estimation model across the complex geo-climatic regions of France resulting in daily high-resolution 1 km predicted air temperature (T-ap) estimations. We use a daily calibration approach using a series of processes to generate daily T-ap for every day across the entire study area and period. First, we start by calibrating MODIS (Moderate Resolution Imaging Spectroradiometer) satellite-gridded surface temperature (T-s) data against T-a collected within 1 km of the T-s centroid. The calibration stage adjusted for spatio-temporal predictors, as done in environmental exposure assessment methods such as land use regressions. Second, to estimate T-ap when no T-s data are available we fit a second model which uses the association of predicted grid cells T-ap values (based on satellite T-s) with surrounding T-a monitors and the association with values in neighbouring grid cells. Out-of-sample tenfold cross-validation was used to quantify the accuracy of our predictions. Our model performance was excellent for both days with available T-s and days without T-s observations (overall mean out-of-sample R-2 = 0.95 for both stages). In conclusion, we demonstrate how T-s can be used reliably to predict daily T-ap at high-resolution across France for use in studies looking at the effects of fine resolution Ta exposure on various health outcomes.
  • A Study on the Distribution of Childhood Cancer in Korea
    Journal of Geography (Korea) 44 29-49 2004

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