François Roger

ORCID: 0000-0002-1573-6833
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About
Contact & Profiles
Research Areas
  • Animal Disease Management and Epidemiology
  • Vector-Borne Animal Diseases
  • Zoonotic diseases and public health
  • Viral Infections and Vectors
  • Influenza Virus Research Studies
  • Vector-borne infectious diseases
  • Livestock and Poultry Management
  • Animal Virus Infections Studies
  • Viral gastroenteritis research and epidemiology
  • Virology and Viral Diseases
  • Viral Infections and Immunology Research
  • Viral Infections and Outbreaks Research
  • Yersinia bacterium, plague, ectoparasites research
  • Mosquito-borne diseases and control
  • Agriculture and Rural Development Research
  • Microbial infections and disease research
  • Tuberculosis Research and Epidemiology
  • Toxoplasma gondii Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • T-cell and Retrovirus Studies
  • COVID-19 epidemiological studies
  • Brucella: diagnosis, epidemiology, treatment
  • Poxvirus research and outbreaks
  • Agriculture and Farm Safety
  • Mycobacterium research and diagnosis

Animal, Santé, Territoires, Risques et Ecosystèmes
2012-2023

Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2014-2023

Direction Générale Déléguée aux Ressources
2022-2023

Université de Montpellier
2017-2022

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2017-2022

Kasetsart University
2010-2019

Maladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle
2017-2019

Agropolis International
2009-2017

Centre National de la Recherche Scientifique
2001-2017

AGroecologies, Innovations & Ruralities
2017

Significance Middle East respiratory syndrome (MERS) is a zoonotic disease of global health concern, and dromedary camels are the source human infection. Although Africa has largest number camels, MERS-coronavirus (MERS-CoV) endemic in these locally acquired MERS not reported from Africa. However, little known genetic or phenotypic characterization MERS-CoV In this study we characterize Burkina Faso, Nigeria, Morocco, Ethiopia. We demonstrate viral differences viruses West Africa, which may...

10.1073/pnas.1718769115 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2018-03-05

A cross-sectional study based on a questionnaire survey was conducted to determine the distribution of lumpy skin disease (LSD) and associated risk factors in three main agro-climatic zones Ethiopia. total 330 surveys were collected from 44 peasant associations (PA) distributed 15 districts. Across agro-climate zones, herd-level LSD prevalence midland significantly higher 55.2% [95% confidence interval (CI) 47.5-62.6] than highland lowland zones. Overall observed at animal-level 8.1% (95% CI...

10.1017/s0950268810000506 article EN Epidemiology and Infection 2010-03-17

A cross-sectional study was carried out in 2005 and 2006 three geographical areas of Madagascar to investigate differentiate swine farm management biosecurity practices smallholder farming communities. Questionnaire data from a total 709 pig farms were analysed using multiple factor analysis (MFA) hierarchical cluster (HCA). Variables describing organised into five groups: structure the farm, animal-contacts, person- vehicle-contacts, feeding, sanitary aspects. In general, few measures...

10.1016/j.prevetmed.2009.08.010 article EN cc-by Preventive Veterinary Medicine 2009-09-25

Late in 2007, veterinary, medical and anthropological professionals from Europe Africa met a 2-day workshop Pretoria, South Africa, to evaluate the burden, surveillance control of zoonotic tuberculosis brucellosis sub-Saharan Africa. Keynote presentations reviewed burden these diseases on human livestock health, existing diagnostic tools, available methods. These were followed by group discussions formulation recommendations.The presence Mycobacterium bovis Brucella spp. was considered be...

10.1179/136485909x451771 article EN Annals of Tropical Medicine and Parasitology 2009-07-01

Beginning in 2003, highly pathogenic avian influenza (HPAI) H5N1 virus spread across Southeast Asia, causing unprecedented epidemics. Thailand was massively infected 2004 and 2005 continues today to experience sporadic outbreaks. While research findings suggest that the of HPAI is influenced primarily by trade patterns, identifying anthropogenic risk factors involved remains a challenge. In this study, we investigated which played role using outbreak data from "second wave" epidemic (3 July...

10.1051/vetres/2009076 article EN cc-by-nc Veterinary Research 2009-12-15

As Southeast Asia (SEA) is characterized by high human and domestic animal densities, growing intensification of trade, drastic land use changes biodiversity erosion, this region appears to be a hotspot study complex dynamics zoonoses emergence health issues at the Animal-Human-Environment interface. Zoonotic diseases environmental can have devastating socioeconomic wellbeing impacts. Assessing managing related risks implies take into account ecological social play, in link with...

10.1016/j.onehlt.2015.09.001 article EN cc-by-nc-nd One Health 2015-09-14

-- (Published: 17 February 2016) Citation: Infection Ecology and Epidemiology 2016, 6: 30978 - http://dx.doi.org/10.3402/iee.v6.30978

10.3402/iee.v6.30978 article EN cc-by-nc Infection Ecology & Epidemiology 2016-01-01

Abstract To clarify the role of bats in ecology Ebola viruses, we assessed prevalence virus antibodies a large-scale sample collected during 2015–2017 from countries Africa that have had previous outbreaks (Guinea, Democratic Republic Congo) or are at high risk for (Cameroon). We analyzed 4,022 blood samples >12 frugivorous and 27 insectivorous species; 2–37 (0.05%–0.92%) were seropositive Zaire 0–30 (0%–0.75%) Sudan viruses. observed 1 bat genus 6 species. Certain species widespread across...

10.3201/eid2412.180740 article EN cc-by Emerging infectious diseases 2018-10-11

Flavie Goutard and colleagues call for concerted multisectoral measures through stronger policies to combat antimicrobial resistance

10.1136/bmj.j3544 article EN cc-by-nc BMJ 2017-09-05

Pig production and pork consumption are very important to the People's Republic of China for both economic cultural reasons. The incursion spread a disease such as African swine fever (ASF), which emerged in Eastern Europe 2007, could have devastating socioeconomic consequences Chinese global pig industry. government consequently attributes high priority ASF is actively seeking improve its preparedness. This paper discusses different drivers pathways potential emergence light country's...

10.1136/vr.103950 article EN Veterinary Record 2017-07-01

Understanding Middle East respiratory syndrome coronavirus (MERS-CoV) transmission in dromedary camels is important, as they consitute a source of zoonotic infection to humans. To identify risk factors for MERS-CoV bred diverse conditions Burkina Faso, Ethiopia and Morocco, blood samples nasal swabs were sampled February–March 2015. A relatively high RNA rate was detected (up 15.7%; 95% confidence interval (CI): 8.2–28.0), followed by Faso 12.2%; CI: 7–20.4) Morocco 7.6%; 1.9–26.1). The...

10.2807/1560-7917.es.2017.22.13.30498 article EN cc-by Eurosurveillance 2017-03-30

Peste des petits ruminants (PPR), a devastating viral disease of sheep and goats, has been targeted by the global community for eradication within next 15 years. Although an efficacious attenuated live vaccine is available, lack knowledge about transmission potential PPR virus (PPRV) may compromise efforts. By fitting metapopulation model simulating PPRV spread to results nationwide serological survey in Ethiopia, we estimated level endemic setting vaccination coverage required elimination....

10.1073/pnas.1711646115 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2018-07-27

Abstract While predicting the course of an epidemic is difficult, a pandemic from emerging virus even more so. The validity most predictive models relies on numerous parameters, involving biological and social characteristics often unknown or highly uncertain. Data COVID-19 epidemics in China, Japan, South Korea Italy were used to build up deterministic without strong assumptions. These then applied other countries identify closest scenarios order foresee their coming behaviour. enabled...

10.1017/s0950268820000990 article EN cc-by-nc-nd Epidemiology and Infection 2020-01-01
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