Publications by Stéphane Joost

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In habitat modelling, an initial step is to define geoenvironmental variables to be included in a predictive model. According to Guisan and Zimmermann (2000), the selection of predictors can be made either arbitrarily, automatically by stepwise procedures, ...

This paper presents a methodology to compute an innovative density indicator of spatial events. The methodology is based on a modified Kernel Density Estimator (KDE) that operates along road networks, and named Network based Kernel Density Estimator (NetKD ...

We applied a spatial approach to detect regions of the genome of the common frog (Rana temporaria) which are possibly selected along an altitude gradient. The identification of selected regions in the genome is important as it gives the possibility to unde ...

In the field of landscape genetics, environmental variables are needed to assess the influence of the environment on the spatial distribution of the genetic information of animals or plants. However, measuring variables (e.g. temperature, precipitation) at ...

This study assessed the spatial dependence of daily tobacco consumption and how it is spatially impacted by individual and neighborhood socioeconomic determinants, and tobacco consumption facilities before and after a smoke-free implementation. Individual ...

Introduction: Impaired sleep is a global health concern. However, the environmental factors contributing to sleep impairment in urban settings are still not well understood. Methodology: This study involved 179 participants from a Swiss municipality (Yverd ...

We introduce a new method to detect signatures of natural selection in the genome based on the application of spatial analysis, with the contribution of Geographical Information Systems, environmental variables, molecular data, and multiple univariate logi ...

Most efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans a ...

In the early 2000s, the SADS, an extensive linguistic atlas project, surveyed more than three thousand individuals across German-speaking Switzerland on over two hundred linguistic variants, capturing the morphosyntactic variation in Swiss German. In this ...

Introduction Smoking bans were suggested to reduce smoking prevalence and increase quit ratio but their equity impact remains unclear. We aimed to characterise the socioeconomic status (SES)-related inequalities in smoking prevalence and quit ratio before ...

Background: The early detection of clusters of infectious diseases such as the SARS-CoV-2-related COVID-19 disease can promote timely testing recommendation compliance and help to prevent disease outbreaks. Prior research revealed the potential of COVID-19 ...

Purpose: Local physical and social environment has a defining influence on individual behaviour and health-related outcomes. However, it remains undetermined if its impact is independent of individual socioeconomic status. In this study, we evaluated the s ...

Objective: To investigate the association between socioeconomic deprivation and the persistence of SARS-CoV-2 clusters. ...

Geographic Information Science methods and tools are likely to help to extract useful and so far unknown information from large spatially explicit genetic datasets to understand the distribution of diversity among and within sheep and goat breeds. Consider ...

Stéphane Joost

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A landscape genomics approach to understanding and predicting species distribution

A Network Based Kernel Density Estimator Applied to Barcelona Economic Activities

Quantitative Geography and Genomics: Spatial analysis to detect signatures of selection along a gradient of altitude in the common frog (Rana temporaria)

Relatedness and scale dependency in very high resolution digital elevation models derivatives

Spatial clusters of daily tobacco consumption before and after a smoke-free policy implementation

Cluster-specific urban contexts associated with high levels of sleep impairment and daytime sleepiness: Findings from the Urbasan collaborative study

Un rôle pour la science de l'information géographique en écologie moléculaire La détection de régions du génome soumises à la sélection naturelle

Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach

Linguistic traits as heritable units? Spatial Bayesian clustering reveals Swiss German dialect regions

Public smoking ban and socioeconomic inequalities in smoking prevalence and cessation: a cross-sectional population-based study in Geneva, Switzerland (1995–2014)

Detection of Spatiotemporal Clusters of COVID-19-Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study

Spatial distribution of mammography adherence in a Swiss urban population and its association with socioeconomic status

A Spatial Analysis Method (SAM) to detect candidate loci for selection: towards a landscape genomics approach to adaptation

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters

Spatial distribution of mammography adherence in a Swiss urban population and its association with socioeconomic status

Exploratory spatial analysis applied to the investigation of large molecular data sets

A dedicated Geographic Exploration Interface for the monitoring of worldwide Farm Animal Genetic Resources

Combining biotechnologies and GIScience to contribute to sheep and goat genetic resource conservation

Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area

AdaptMap: exploring goat diversity and adaptation