3 citations · 6 across the 5 of their papers we have counts for
6 papers
Modelling the Spatially Varying Non-Linear Effects of Heat Exposure
Xinyi Chen, Marta Blangiardo, Connor Gascoigne +1
Exposure to high ambient temperatures is a significant driver of preventable mortality, with non-linear health effects and elevated risks in specific regions. To capture this compl…
Bayesian ensemble modelling to monitor excess deaths during summer 2022 in Switzerland
Garyfallos Konstantinoudis, Anthony Hauser, Julien Riou
Switzerland experienced one of the warmest summers during 2022. Extreme heat has been linked to increased mortality. Monitoring the mortality burden attributable to extreme heat is…
A framework for estimating and visualising excess mortality during the COVID-19 pandemic
Garyfallos Konstantinoudis, Virgilio Gómez-Rubio, Michela Cameletti +3
COVID-19 related deaths underestimate the pandemic burden on mortality because they suffer from completeness and accuracy issues. Excess mortality is a popular alternative, as it c…
Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London
Shahram Heydari, Garyfallos Konstantinoudis, Abdul Wahid Behsoodi
The COVID-19 pandemic has been influencing travel behaviour in many urban areas around the world since the beginning of 2020. As a consequence, bike-sharing schemes have been affec…
Bayesian spatial modelling of terrestrial radiation in Switzerland
Christophe L. Folly, Garyfallos Konstantinoudis, Antonella Mazzei-Abba +4
The geographic variation of terrestrial radiation can be exploited in epidemiological studies of the health effects of protracted low-dose exposure. Various methods have been appli…
Discrete versus continuous domain models for disease mapping
Garyfallos Konstantinoudis, Dominic Schuhmacher, Håvard Rue +1
The main goal of disease mapping is to estimate disease risk and identify high-risk areas. Such analyses are hampered by the limited geographical resolution of the available data.…