Simon Dellicour
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sdellicour.bsky.social
Simon Dellicour
@sdellicour.bsky.social
F.R.S.-FNRS Research Associate at the University of Brussels (Spatial Epidemiology Lab - SpELL, https://spell.ulb.be/) and Visiting Professor at the University of Leuven (Evolutionary & Computational Virology lab, https://rega.kuleuven.be/cev/ecv)
Reposted by Simon Dellicour
Reposted by Simon Dellicour
πŸ¦ŸπŸ“„ New preprint! Our first large-scale phylodynamic study of Jamestown Canyon virus (JCV) reveals how mosquito ecology shapes the evolution, persistence, and spread of this understudied arbovirus in North America.

Read it here! www.biorxiv.org/content/10.6...
Evolutionary history of Jamestown Canyon virus disentangles complex multi-vector ecology
Jamestown Canyon virus (JCV) is a re-emerging mosquito-borne virus of increasing concern in North America. It has been historically understudied, leading to significant gaps in our understanding of it...
www.biorxiv.org
January 12, 2026 at 10:58 AM
Reposted by Simon Dellicour
I am very glad to share the preprint for our latest study on the 2024-2025 chikungunya virus outbreak on RΓ©union island, with primary data produced thanks to the massive efforts performed by Marie-C Jaffar and Etienne Frumence and analyses led by Simon Dellicour. www.medrxiv.org/content/10.6...
Unravelling the epidemiological and dispersal dynamics of the 2024-2025 chikungunya virus outbreak on Reunion island
Reunion island just experienced a massive chikungunya virus outbreak in 2024-2025, with more than 54,000 confirmed cases. This is the second major chikungunya outbreak on the island, following the fir...
www.medrxiv.org
January 12, 2026 at 9:54 AM
This study is the result of a collaborative effort involving Etienne Frumence, @raph-klitting.bsky.social, @kylaserres.bsky.social, Yucai Shao, Muriel Vincent, Mandev Gill, @msuchard.bsky.social, @lemeylab.bsky.social, Xavier de Lamballerie, and Marie-Christine Jaffar-Bandjee. 9/9
January 12, 2026 at 7:30 AM
R scripts as well as input and output files related to the different phylodynamic analyses conducted in this study are available at github.com/sdellicour/c... (see also this page for a dynamic visualisation of the phylogeographic reconstruction). 8/9
GitHub - sdellicour/chikungunya_reunion: Input files and scripts related to our study entitled "Unravelling the epidemiological and dispersal dynamics of the 2024-2025 chikungunya virus outbreak on RΓ©...
Input files and scripts related to our study entitled "Unravelling the epidemiological and dispersal dynamics of the 2024-2025 chikungunya virus outbreak on RΓ©union island" (Frumence et a...
github.com
January 12, 2026 at 7:30 AM
While a short-term resurgence of viral transmission cannot be excluded, the impact of herd immunity constitutes an encouraging outcome that should at least contribute to limiting the spread of the virus in the upcoming seasons. 7/9
January 12, 2026 at 7:30 AM
with frequent exchanges among distant residential areas. In addition, we show that the decrease in transmission rate leading to the end of the epidemic can, at least to a large extent, be attributed to the population immunity resulting from both the current and the 2005-2006 epidemic. 6/9
January 12, 2026 at 7:30 AM
with viral transition events being more frequent from and toward more populated areas. While we find that dispersal events were on average more likely between geographically close locations, our analyses also reveal that the transmission chain was overall spatially intermixed, 5/9
January 12, 2026 at 7:30 AM
Harnessing this genomic dataset, we used a set of phylodynamic and phylogeographic approaches to unravel the paths taken by the transmission chain and the external factors having impacted its dynamics on the island. Our analyses highlight a dispersal pattern in line with a gravity-model dynamic 4/9
January 12, 2026 at 7:30 AM
In this study, we generated and analysed more than 3,000 time-stamped and geo-referenced near-full chikungunya virus genomes collected throughout the recent 2024-2025 outbreak, constituting one of the most comprehensive genomic datasets ever assembled for a non-COVID-19 viral epidemic. 3/9
January 12, 2026 at 7:30 AM
It has been assessed that this new outbreak finds its origin in a single introduction event into the island, offering a unique opportunity to exploit viral genomic data to understand the epidemiological and dispersal dynamics of the introduced transmission chain. 2/9
January 12, 2026 at 7:30 AM
Our latest study dedicated to the massive 2024-2025 chikungunya virus outbreak on RΓ©union island is now available as a preprint on medRxiv: doi.org/10.64898/202.... With more than 54,000 confirmed cases this is the second major chikungunya outbreak on the island, following the 1Β° one 20 yrs ago. 1/9
Unravelling the epidemiological and dispersal dynamics of the 2024-2025 chikungunya virus outbreak on Reunion island
Reunion island just experienced a massive chikungunya virus outbreak in 2024-2025, with more than 54,000 confirmed cases. This is the second major chikungunya outbreak on the island, following the fir...
doi.org
January 12, 2026 at 7:30 AM
Reposted by Simon Dellicour
Our findings provide guidelines for implementing the complementary BFadj to detect and mitigate sampling bias in discrete phylogeographic inference using CTMC modeling (9/9)
November 12, 2025 at 6:35 PM
levels of sampling bias, estimating their type I and type II error rates. Our results show that BFadj complements the BFstd by reducing type I errors at the cost increasing type II errors for inferred transition events, while improving type I and type II errors in root location inference (8/9)
November 12, 2025 at 6:35 PM
which incorporates information on the relative abundance of samples by location when inferring support for transition events and root location inference without requiring additional data. Using a simulation framework, we assess the statistical performance of BFstd and BFadj under varying (7/9)
November 12, 2025 at 6:35 PM
As such data is not necessarily available, alternative approaches that rely solely on available genomic data are needed. In this study, we assess the performance of a modification of the BFstd, the adjusted Bayes factor (BFadj), (6/9)
November 12, 2025 at 6:35 PM
Existing methods to correct sampling bias in discrete phylogeographic analyses using continuous-time Markov chain (CTMC) model, often require additional epidemiological information to balance the sampling effort among locations (5/9)
November 12, 2025 at 6:35 PM
and is typically followed by a Bayes factor (BF) test to assess the statistical support. In the standard BF (BFstd) test, the relative abundance of the involved trait states is not considered, which can be problematic in the case of unbalanced sampling (4/9)
November 12, 2025 at 6:35 PM
Bayesian phylogeographic inference is widely used in molecular epidemiological studies to reconstruct the dispersal history of pathogens. Discrete phylogeographic analysis treats geographic locations as discrete traits and infers lineage transition events among them, (3/9)
November 12, 2025 at 6:35 PM
A study conducted at the Spatial Epidemiology Lab (SpELL, spell.ulb.be) of the @ulbruxelles.bsky.social, led by Fabiana GΓ‘mbaro, with also the contributions and help of Maylis Layan, @guybaele.bsky.social, and Bram Vrancken, as well as the support of the F.R.S.-FNRS (2/9)
Spatial Epidemiology Lab
spell.ulb.be
November 12, 2025 at 6:35 PM
Check out our new study entitled "Navigating sampling bias in discrete phylogeographic analysis: assessing the performance of an adjusted Bayes factor" and now published in Molecular Biology & Evolution: academic.oup.com/mbe/article/... (1/9)
November 12, 2025 at 6:35 PM
Reposted by Simon Dellicour
GΓ‘mbaro, @sdellicour.bsky.social et al. use simulations to evaluate an adjusted Bayes factor for discrete phylogeography that accounts for sampling bias, which lowers false positives and improves root inference.

πŸ”— doi.org/10.1093/molbev/msaf253

#evobio #molbio #phylogenetics
Navigating Sampling Bias in Discrete Phylogeographic Analysis: Assessing the Performance of an Adjusted Bayes Factor
Abstract. Bayesian phylogeographic inference is widely used in molecular epidemiological studies to reconstruct the dispersal history of pathogens. Discret
doi.org
November 4, 2025 at 11:15 AM
Reposted by Simon Dellicour
Our analysis of modelling practices, data use, and science-policy interactions during the COVID-19 pandemic is out on @eurosurveillance.org this week.

www.eurosurveillance.org/content/10.2...

Wonderful collaborative effort conducted in the context of mood-h2020.eu

Read the thread below πŸ‘‡
October 24, 2025 at 7:07 AM
Reposted by Simon Dellicour
In the COVID-19 Omicron surge, #KULeuven combined contact tracing with sequencing.

Only 1/3 of contacts shared the same strain 🀯, so most people misperceived where they got infected.

@thibaut-jonathan.bsky.social and team show how to assess contact tracing accuracy in the future!

#IDSky #EpiSky
A novel methodology for assessing contact tracing precision: Phylogenetic validation of a contact tracing program for COVID-19 in Belgium
During the COVID-19 pandemic, contact tracing was widely used to limit virus propagation and implement targeted disease control measures. It can howev…
www.sciencedirect.com
October 17, 2025 at 1:04 PM