Modelling Zoonotic & Arthropod-borne pathogens
MoZArt is a research project on the epidemiology of vector-borne and zoonotic pathogens (i.e., transmitted from animals to humans by infected arthropods vectors, such as ticks and mosquitoes).
As model studies, we are primarily interested in Lyme borreliosis (LB) and tick-borne encephalitis (TBE), tick-borne zoonoses both transmitted by the same hard tick Ixodes ricinus. By combining modelling approaches together with laboratory, field and satellite imagery data, our interdisciplinary "One Health" approach aims to understand how ticks, animals, humans and the environment interact to shape diseases' pattern.
<< News >>
April - Mai 2025 - We are very proud to publish two papers one month apart, also showing the range of expertise our team spans !
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First, considering seasonality of tick questing, we revisited mapping work on the spatial expansion risk of H. longicornis tick in North America and Europe , using ecological niche modelling approach, check here
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Here, we explored how Antibioclic, a Computerised decision support system, can help in better understanding Lyme borreliosis epidemiology.
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January 2025 - We released a new preprint, looking at Borrelia and Tick-borne encephalitis serology in roe deer in France
November 2024 - Our team is heading to Rennes , to the annual modelling days of ANRS, communicating on our research on modelling the eco-epidemiology of Ixodes-transmitted pathogens
October 2024 - Ilona presented her PhD work on spatial modelling to improve Lyme disease estimation incdience at the national symposium ArboFrance
June 2024 - Our model, looking at the population dynamics of Ixodes ricinus is available as a pre-print
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May 2024 -Both Armelle Poisson and Laure Mathews-Martin papers' are out, exploring tick-borne zoonoses from the animal perspective |
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February 2024 - Ingrid Wongoue recently joined us to estimate contact rates at the tick-human interface and factors associated
October 2023 - Ilona Suhanda joined our team; her PhD will focus on joint spatial modelling of Lyme and TBE
September 2023 - We are delighted to welcome Younjung Kim in our team as a post-doctoral research fellow in mathematical modelling
September 2023 - Laure will present her poster "Seroprevalence and factors associated with the exposure of cattle to the tick-borne encephalitis virus (TBEV) in the Northeastern part of France" at the 10th European Meeting on Viral Zoonosis, Sept 23-26 2023, St-Raphaël – France
August 2023 - 📣 New pre-print !!! 📣
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We reviewed the literature to investigate how tick-borne flaviviruses and borrelia infections have been studied in wildlife and discuss their relevance in providing epidemiological information useful to understand pathogens' transmission
To read it, click here |
July 2023 - Armelle presented her internship work on sero-epidemiology in wildlife hosts at the national conference "Rencontres du GdR phylodynamique"
March 2023 - Data collection is ongoing
From human exposure to tick bites to infection data in potential animal reservoirs, we are setting up and gathering the most up-to-date datasets to get further insights on both Lyme and TBE
From human exposure to tick bites to infection data in potential animal reservoirs, we are setting up and gathering the most up-to-date datasets to get further insights on both Lyme and TBE
March 2023 - 📣 New paper out !!! 📣
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We looked at the spatial and seasonal determinants of Lyme borreliosis in France by analysing surveillance data with Bayesian statistics
Fu W, Bonnet C, Septfons A, Figoni J, Durand J, Frey-Klett P, Rustand D, Jaulhac B, Métras R. Spatial and seasonal determinants of Lyme borreliosis incidence in France, 2016 to 2021. Euro Surveill. 2023 Apr;28(14). doi: 10.2807/1560-7917.ES.2023.28.14.2200581. PMID: 37022210. |
January 2023 - Our four-years project has started !
MoZArt is a four-years ANRJCJC project (2023-2026, ANR-22-CE35-0003) funded by
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Project PI: Raphaëlle Métras
Pierre Louis Institute of Epidemiology and Public Health (IPLESP, UMRS-1136), Sorbonne Université , Inserm, 27 rue Chaligny, 75012 Paris, France |
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