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Spatial Epidemiology Lab

Spatial Epidemiology Lab

Université Libre de Bruxelles

Spatial epidemiology studies the effect of spatial factors on the emergence, spread, persistence and evolution of diseases and invasive species. The understanding of key spatial factors, such as environmental or anthropogenic variables, and their integration into spatial models is used to predict the geographical distribution of risk, which can contribute to better targetted prevention, surveillance and control measures. We also work toward the improvement of methods in spatial modelling and landscape phylogeography, and of large-scale data sets on farm animals.

News

How fast are viruses spreading in the wild? Checked out our new study now published in PLoS Biology

On December 03 2024 by Simon Dellicour

Our new study entitled “How fast are viruses spreading in the wild?” has just been published in PLoS Biology. Genomic data collected from viral outbreaks can be exploited to reconstruct the dispersal history of viral lineages in a two-dimensional space using continuous phylogeographic inference. These spatially explicit reconstructions can subsequently be used to estimate dispersal metrics that can be informative of the dispersal dynamics and the capacity to spread among hosts. Read more...

We are hiring! A PhD student position is open at the SpELL to work on the avian flu VIVACE project

On October 31 2024 by Simon Dellicour

The present PhD student position and associated research project is part of the 13 PhD projects of the VIVACE Doctoral Network, funded by the Marie Sklodowska-Curie action of the Horizon Europe programme. Context on the VIVACE doctoral network While outbreaks of highly pathogenic avian influenza viruses (HPAIV) in Europe used to be rare and geographically contained, the situation has dramatically changed in the last few years with thousands of outbreaks reported in domestic poultry and wild birds. Read more...

New study on integrating indicator-based and event-based surveillance data to improve risk mapping

On October 30 2024 by Kyla Serres

Our new study on integrating indicator-based and event-based surveillance data to improve risk mapping has just been published in Eurosurveillance. West Nile virus (WNV) has an enzootic cycle between birds and mosquitoes, humans being incidental dead-end hosts. Circulation of WNV is an increasing public health threat in Europe. While detection of WNV is notifiable in humans and animals in the European Union, surveillance based on human case numbers presents some limitations, including reporting delays. Read more...


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Research topics

Landscape phylogeography

Spatially-explicit phylogeographic analyses can be used to introduce phylogenetic trees in a geographic context. Over the last years, we started exploiting such spatially-annotated trees to investigate the impact on environmental factors on the dispersal history and dynamic of viral lineages (dispersal velocity, dispersal direction and dispersal frequency). Furthermore, we also aim to use phylogeographic reconstruction to assess hypothetical intervention strategies in the context of viral epidemics.

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Livestock diseases and mapping

Our research mainly deal with the spatial epidemiology of avian influenza (AI) at different spatial scales, with particular emphasis on on the role of agro-ecological factors on the emergence, spread and persistence of AI viruses. Over the years, we have also been involved in research on other important livestock diseases such as bluetongue, bovine tuberculosis, foot and mouth disease, porcine reproductive and respiratory syndrome, and Nipah virus infections. In addition, we also have research projects to better map the distribution of livestock production at a global scale.

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Modelling geographical invasions

Invading organisms spreading though a heterogeneous landscape are difficult to study using conventional statistical models. We aim to develop new methodology to study those type of data, to review existing methods, and to compare all methods in their capacity to detect the influence of landscape heterogeneity on the pattern of spread.

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