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Denis Hémon

Researcher at Paris Descartes University

Publications -  176
Citations -  9764

Denis Hémon is an academic researcher from Paris Descartes University. The author has contributed to research in topics: Population & Odds ratio. The author has an hindex of 49, co-authored 175 publications receiving 9052 citations. Previous affiliations of Denis Hémon include Sorbonne & University of Paris.

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Modifying the t test for assessing the correlation between two spatial processes

TL;DR: In this article, the variance of the sample covariance is computed for a finite number of locations, under the multinormality assumption, and the mathematical derivation of the definition of effective sample size is given.
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Excess mortality related to the August 2003 heat wave in France.

TL;DR: While the elderly and people living alone are particularly vulnerable to heat waves, no segment of the population may be considered protected from the risks associated with heat waves and heat waves must be considered as a threat to European populations living in climates that are currently temperate.
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Assessing the significance of the correlation between two spatial processes.

TL;DR: Modified tests of association based on the correlation coefficient or the covariance between two spatially autocorrelated processes are presented and a method for evaluating this reduction via an approximation of the variance of the correlation coefficients is developed.
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Has the impact of heat waves on mortality changed in France since the European heat wave of summer 2003? A study of the 2006 heat wave

TL;DR: The excess mortality during the 2006 heat wave may be interpreted as a decrease in the population's vulnerability to heat, together with, since 2003, increased awareness of the risk related to extreme temperatures, preventive measures and the set-up of the warning system.
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Ecological association between a deprivation index and mortality in France over the period 1997 – 2001: variations with spatial scale, degree of urbanicity, age, gender and cause of death

TL;DR: The deprivation index proposed reflects a major part of spatial socioeconomic heterogeneity, in a homogeneous manner over the whole country, and may be routinely used by healthcare authorities to observe, analyse, and manage spatial health inequalities.