Dr Céline Faverjon

Céline is a French veterinary epidemiologist with a MSc in animal health, epidemiology and surveillance in Southern countries, and a PhD in epidemiology and surveillance.

Céline graduated from the National Veterinary School of Alfort in 2011. As part of her specialisation program, she spent 6 months in Lao PDR working on the assessment of the H5N1 surveillance networks in Southeast Asia. With an interest in animal health surveillance and collaborative approaches, she joined the coordination unit of the Caribbean animal health network (CaribVET). This gave her the opportunity to be involved in many different applied projects such as the assessment of the epidemiological surveillance networks, the development and the assessment of training projects for local veterinary services, and the coordination of surveillance activities.

In 2012, Céline returned to Europe and completed a PhD in France (INRA, Clermont Ferrand University) and the Netherlands (Central Veterinary Institute, Utrecht University). Her work focused on risk-based surveillance for vector-borne diseases in horses. It allowed her to develop her quantitative skills and her enthusiasm for data mining.

Between 2016 and 2019, Céline worked as a research fellow at the Veterinary Public Health Institute of the University of Bern, Switzerland. She was involved in many different projects focusing on integrated disease surveillance systems, transdisciplinary approaches, questions related to (big) data access, validation and integration, and methods to combine multiple sources of information.

Céline joined Ausvet Europe in 2019 and was made a Senior Consultant in 2021. Together with Angus Cameron, she leads the Scientific Team at EpiMundi.

Specialty areas

Veterinary Epidemiology
Complex statistical modelling
Integrated Surveillance Systems
Data analysis and visualisation

Highlights

Development of a surveillance system to improve early detection of African swine fever in large commercial pig farms.
Development and implementation of the Bird Flu Radar
AMR risk assessment in food products and in the environment
Co-leader of a WP in a large research project focusing on data stewardship in veterinary epidemiology

Publications

Click here to see the full listing of publications

Fanelli, A., Baron, J., Comin, A., Faverjon, C., Feliziani, F., Guelbenzu-Gonzalo, M., Hodnik, J., Iscaro, C., Knific, T., Meletis, E., Mincu, M., Righi, C., Thomas, R., Tamba, M., Frössling, J., & Schaik, G. V. (2024). Using scenario tree modelling to evaluate the probability of freedom from Enzootic bovine leukosis (EBL) in Italy and Slovenia. Veterinaria Italiana, 60(1). https://doi.org/10.12834/VetIt.3382.22918.2

Meletis, E., Conrady, B., Hopp, P., Lurier, T., Frössling, J., Rosendal, T., Faverjon, C., Carmo, L. P., Hodnik, J. J., Ózsvári, L., Kostoulas, P., van Schaik, G., Comin, A., Nielen, M., Knific, T., Schulz, J., Šerić-Haračić, S., Fourichon, C., Santman-Berends, I., & Madouasse, A. (2024). Review state-of-the-art of output-based methodological approaches for substantiating freedom from infection. Frontiers in Veterinary Science, 11. https://doi.org/10.3389/fvets.2024.1337661

Chapot, L., Hibbard, R., Ariyanto, K. B., Maulana, K. Y., Yusuf, H., Febriyani, W., Cameron, A., Paul, M., Vergne, T., & Faverjon, C. (2024). Needs and capabilities for improving poultry production and health management in Indonesia. PLOS ONE, 19(8), e0308379. https://doi.org/10.1371/journal.pone.0308379

Juan Gallego-Zamorano, Jacob Davies, Roos Reinartz, Rob Robinson, Gabriel Gargallo, Céline Faverjon, Henk Sierdsema, Julia Stahl. (2024). Updates to the wild bird abundance and movement models for the early warning system for avian influenza in the EU. https://doi.org/https://doi.org/10.2903/sp.efsa.2024.EN-9000

Chapot, L., Hibbard, R., Ariyanto, K. B., Maulana, K. Y., Yusuf, H., Febriyani, W., Cameron, A., Paul, M., Faverjon, C., & Vergne, T. (2023). A qualitative analysis of health information-sharing networks in the Indonesian poultry sector. Preventive Veterinary Medicine, 219, 106003. https://doi.org/10.1016/j.prevetmed.2023.106003

Hibbard, R., Chapot, L., Yusuf, H., Ariyanto, K. B., Maulana, K. Y., Febriyani, W., Cameron, A., Vergne, T., Faverjon, C., & Paul, M. C. (2023). “It’s a habit. They’ve been doing it for decades and they feel good and safe.”: A qualitative study of barriers and opportunities to changing antimicrobial use in the Indonesian poultry sector. PLOS ONE, 18(9), e0291556. https://doi.org/10.1371/journal.pone.0291556

van Schaik, G., Hostens, M., Faverjon, C., & Jensen, D. B. (2023). The DECIDE project: from surveillance data to decision-support for farmers and veterinarians. Open Research Europe, 3:82. https://doi.org/https://doi.org/10.12688/openreseurope.15988.1

Oberin, M., Badger, S., Faverjon, C., Cameron, A., & Bannister-Tyrrell, M. (2022). Electronic information systems for One Health surveillance of antimicrobial resistance: a systematic scoping review. BMJ Global Health, 7(1), e007388. https://doi.org/10.1136/bmjgh-2021-007388

G. Gargallo, J.G. Davies, C. Faverjon, C. Kampichler, S.R. Baillie, A. Cameron, R.A. Robinson, H. Sierdsema. (2022). Development of a prototype early warning system for avian influenza in the EU based on risk-mapping. https://doi.org/https://doi.org/10.2903/sp.efsa.2022.EN-7762

Faverjon, C., Cameron, A., & De Nardi, M. (2022). Modelling framework to quantify the risk of AMR exposure via food products - example of chicken and lettuce. https://doi.org/https://www.gov.uk/government/publications/risk-screening-and-prioritisation-tool-for-antimicrobial-resistance-in-the-environment :quadparrot:

Gargallo, G., Davies, J. g., Faverjon, C., Kampichler, C., Baillie, S. r., Cameron, A., Robinson, R. a., & Sierdsema, H. (2022). Development of a prototype early warning system for avian influenza in the EU based on risk-mapping. EFSA Supporting Publications, 19(12), 7762E. https://doi.org/10.2903/sp.efsa.2022.EN-7762

Hodnik, J. J., Acinger-Rogić, Ž., Alishani, M., Autio, T., Balseiro, A., Berezowski, J., Carmo, L. P., Chaligiannis, I., Conrady, B., Costa, L., Cvetkovikj, I., Davidov, I., Dispas, M., Djadjovski, I., Duarte, E. L., Faverjon, C., Fourichon, C., Frössling, J., Gerilovych, A., … Santman-Berends, I. M. G. A. (2021). Overview of Cattle Diseases Listed Under Category C, D or E in the Animal Health Law for Which Control Programmes Are in Place Within Europe. Frontiers in Veterinary Science, 8, 688078. https://doi.org/10.3389/fvets.2021.688078

Meyer, A., Faverjon, C., Hostens, M., Stegeman, A., & Cameron, A. (2021). Systematic review of the status of veterinary epidemiological research in two species regarding the FAIR guiding principles. BMC Veterinary Research, 17(1), 270. https://doi.org/10.1186/s12917-021-02971-1

van Roon, A. M., Rapaliute, E., Koleci, X., Muñoz, V., Mercat, M., Faverjon, C., Santman-Berends, I. M. G. A., Nielen, M., More, S. J., Graham, D., Guelbenzu-Gonzalo, M., Madouasse, A., Fourichon, C., & van Schaik, G. (2021). Key Learnings During the Development of a Generic Data Collection Tool to Support Assessment of Freedom of Infection in Cattle Herds. Frontiers in Veterinary Science, 8, 656336. https://doi.org/10.3389/fvets.2021.656336

Rapaliute, E., van Roon, A., van Schaik, G., Santman-Berends, I., Koleci, X., Mincu, M., Gethmann, J., Conrady, B., Knific, T., Hodnik, J. J., Berezowski, J., Carmo, L. P., Madouasse, A., Tarpai, A., Gerilovych, A., Malakauskas, A., Sekovska, B., Fourichon, C., Kalaitzakis, E., … Faverjon, C. (2021). Existence and Quality of Data on Control Programs for EU Non-regulated Cattle Diseases: Consequences for Estimation and Comparison of the Probability of Freedom From Infection. Frontiers in Veterinary Science, 8, 689375. https://doi.org/10.3389/fvets.2021.689375

Faverjon, C., Meyer, A., Howden, K., Long, K., Peters, L., & Cameron, A. (2020). Risk-based early detection system of African Swine Fever using mortality thresholds. Transboundary and Emerging Diseases, n/a(n/a). https://doi.org/10.1111/tbed.13765

Cameron, A. R., Meyer, A., Faverjon, C., & Mackenzie, C. (2020). Quantification of the sensitivity of early detection surveillance. Transboundary and Emerging Diseases, tbed.13598. https://doi.org/10.1111/tbed.13598

Meyer, A., Sadler, R., Faverjon, C., Cameron, A. R., & Bannister-Tyrrell, M. (2020). Evidence That Higher Temperatures Are Associated With a Marginally Lower Incidence of COVID-19 Cases. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.00367

Zühlke, I., Berezowski, J., Bodmer, M., Küker, S., Göhring, A., Rinaldi, F., Gurtner, C., & Faverjon, C. (2020). Factors associated with cattle necropsy submissions in Switzerland, and their importance for surveillance. Preventive Veterinary Medicine, In press.

Özçelik, R., Graubner, C., Remy-Wohlfender, F., Dürr, S., & Faverjon, C. (2020). Evaluating 5.5 Years of Equinella: A Veterinary-Based Voluntary Infectious Disease Surveillance System of Equines in Switzerland. Frontiers in Veterinary Science, 7. https://doi.org/10.3389/fvets.2020.00327

Faverjon, C., Schärrer, S., Hadorn, D. C., & Berezowski, J. (2019). Simulation Based Evaluation of Time Series for Syndromic Surveillance of Cattle in Switzerland. Frontiers in Veterinary Science, 6. https://doi.org/10.3389/fvets.2019.00389

Sterchi, M., Faverjon, C., Sarasua, C., Vargas, M. E., Berezowski, J., Bernstein, A., Grütter, R., & Nathues, H. (2019). The pig transport network in Switzerland: Structure, patterns, and their implications for disease transmission between animal holdings. PLoS ONE. https://doi.org/10.1371/journal.pone.0217974

Faverjon, C., Bernstein, A., Grütter, R., Nathues, C., Nathues, H., Sarasua, C., Sterchi, M., Vargas, M.-E., & Berezowski, J. (2019). A Transdisciplinary Approach Supporting the Implementation of a Big Data Project in Livestock Production: An Example From the Swiss Pig Production Industry. Frontiers in Veterinary Science, 6. https://doi.org/10.3389/fvets.2019.00215

Berezowski, J., Rüegg, S. R., & Faverjon, C. (2019). Complex System Approaches for Animal Health Surveillance. Frontiers in Veterinary Science, 6. https://doi.org/10.3389/fvets.2019.00153

Faverjon, C., & Berezowski, J. (2018). Choosing the best algorithm for event detection based on the intend application: A conceptual framework for syndromic surveillance. Journal of Biomedical Informatics, 85(June), 126–135. https://doi.org/10.1016/j.jbi.2018.08.001

Küker, S., Faverjon, C., Furrer, L., Berezowski, J., Posthaus, H., Rinaldi, F., & Vial, F. (2018). The value of necropsy reports for animal health surveillance. BMC Veterinary Research, 14(1), 1–12. https://doi.org/10.1186/s12917-018-1505-1

Faverjon, C., Vial, F., Andersson, M. G., Lecollinet, S., & Leblond, A. (2017). Early detection of West Nile virus in France: quantitative assessment of syndromic surveillance system using nervous signs in horses. Epidemiology & Infection, 145(5), 1044–1057. https://doi.org/10.1017/S0950268816002946

Faverjon, C., Andersson, M. G., Decors, A., Tapprest, J., Tritz, P., Sandoz, A., Kutasi, O., Sala, C., & Leblond, A. (2016). Evaluation of a Multivariate Syndromic Surveillance System for West Nile Virus. Vector-Borne and Zoonotic Diseases, 16(6), 382–390. https://doi.org/10.1089/vbz.2015.1883

Faverjon, C., Leblond, A., Lecollinet, S., Bødker, R., de Koeijer, A. A., & Fischer, E. A. J. (2016). Comparative Risk Analysis of Two Culicoides-Borne Diseases in Horses: Equine Encephalosis More Likely to Enter France than African Horse Sickness. Transboundary and Emerging Diseases. https://doi.org/10.1111/tbed.12577

Faverjon, C., Leblond, A., Hendrikx, P., Balenghien, T., de Vos, C. J., Fischer, E. A. J., & de Koeijer, A. A. (2015). A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France. BMC Veterinary Research, 11(1). https://doi.org/10.1186/s12917-015-0435-4

Andersson, M. G., Fischer, E. A. J., Faverjon, C., Gerthmann, J., Gussmann, M., Van der Stede, Y., Hopp, P., Bødker, R., & Leblond, A. (2015). A joint risk score method for risk-based surveillance of vector-borne animal diseases.

Andersson, M. G., Faverjon, C., Vial, F., Legrand, L., & Leblond, A. (2014). Using Bayes’ rule to define the value of evidence from syndromic surveillance. PloS One, 9(11), e111335. https://doi.org/10.1371/journal.pone.0111335

(N.d.).

Dr Céline Faverjon

Dr Céline Faverjon

Specialty areas

Highlights

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