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UNIVERSITY OF PRETORIA - 2006 - Thèse en ligne : MODELLING LEAD AND CADMIUM UPTAKE BY STAR GRASS UNDER IRRIGATION WITH TREATED WASTEWATER. Water Qual. Res. J. Canada, 2006 • Volume 41, No. 1, 1–15 Modelling Human Exposure of Methylmercury from Fish Consumption. The British Journal of Radiology, 81 (2008), 499–503 Modelling the effect of lead and other materials for shielding of the fetus. UNIVERSITE DU SUD TOULON VAR - 2005 - Thèse en ligne : MODELISATION DE LA BIOACCUMULATION DE METAUX TRACES (Hg, Cd, Pb, Cu et Zn. UNIVERSITE DES SCIENCES ET TECHNOLOGIES DE LILLE - 2007 - Thèse en ligne : Modélisation du transfert de métaux lourds dans les s.

RIVM - 2002 - Preliminary modelling and mapping of critical loads for cadmium and lead in Europe. Clean Techn Environ Policy (2007) 9:313–323 Modelling cadmium flows in Australia on the basis of a substance flow analysis. UNIVERSITE DE NANTES 26/01/01 Thèse en ligne : Etude expérimentale et modélisation du tranfert du zinc et du plomb dans des mili.

Présentation. ECOLE DES PONTS PARISTECH - DEC 2005 - Thèse en ligne : Modélisation de la dispersion atmosphérique du mercure, du plomb et du c. Ecole Nationale des Ponts et Chaussees 12/12/05 Thèse en ligne : Modelisation de la dispersion atmosph#erique du mercure, du plo. Université de Montreal - Présentation : Modélisation des concentrations de plomb chez l'humain (1 à 40 ans) à l'aide du modèle A. INAPG/INRA METARISK - Working PapersAu sommaire:Statistical analysis of a dynamic model for food contaminant exposure with appli. UNIVERSITÉ DE GRENOBLE 07/08/06 Thèse en ligne : Etude et modélisation de la biosorption des métaux par les bactéries. Applicati. Revue des Sciences de l’Eau 22(4) (2009) 461-471 Modélisation dynamique du comportement des métaux lourds dans des stations d’ép.

CEMAGREF - TSIP-PCB - Transferts de contaminants hydrophobes dans le Rhône du sédiment au biote: construction de modèles dans une perspective de gestion. IFREMER 05/09/14 Modélisation 0D des efflorescences d'Alexandrium en rade de Brest en compétition inter-spécifique. AGROPARISTECH 08/11/13 Thèse en ligne : Modélisation de la contamination nitrique de la nappe des calcaires de Champigny : Appli. INERIS 30/06/09 Impacts sur les milieux aquatiques des sédiments de dragage gérés à terre : Problématique, contexte réglementair. PIREN-SEINE - Colloque annuel du programme de recherche PIREN-Seine( février 2013Programme détaillé. Le colloque annuel du programme PIREN-Seine a eu lieu les 5 et 6 février 2013, dans les locaux du CNRS, 3 rue Michel Ange (Paris 16ième). Le programme PIREN-Seine, au cours de sa 6ième phase (2011-2014), a focalisé ses travaux sur des thématiques principales qui intéressent l'avenir du bassin de la Seine.

L'écologie et l'écotoxicologie : Les facteurs physiques et chimiques qui perturbent la qualité du milieu dans le bassin de la Seine.La biogéochimie de l'axe fluvial : Nouveaux enjeux de la qualité de l'eau et nouvelles données et connaissances sur le fonctionnement microbiologique des cours d'eau.Le devenir des contaminants à de longues échelles de temps : Quelle est la dynamique des contaminants accumulés dans le bassin de la Seine ? Les interfaces nappes-rivière : Le rôle des milieux alluviaux dans le bassin de la Seine.L'agriculture du bassin de la Seine : Quel modèle agricole compatible avec les ressources en eau pour le bassin de la Seine ?

ARXIV 25/05/14 Estimation and Modelling of PCBs Bioaccumulation in the Adriatic Sea Ecosystem. UNIVERSITE DE LIEGE - 2010 - Presentation : Modélisation de la pollution agricole diffuse vers les eaux de surface et souterraines : le projet QualVados. Journal of Marine Systems Available online 15 May 2012 Modelling faecal contamination in the Scheldt land–sea continuum. Part I. The Scheldt drainage network. A Ecologie des Systèmes Aquatiques, Université Libre de Bruxelles, Campus plaine, CP 221, B-1050 Brussels, Belgiumb Université catholique de Louvain, Institute of Mechanics, Materials and Civil Engineering (IMMC), 4 Avenue G.

Lemaître, bte L4.05.02, B-1348 Louvain-la-Neuve, Belgiumc Université catholique de Louvain, Georges Lemaître Centre for Earth and Climate Research (TECLIM), 2 Chemin du Cyclotron, B-1348 Louvain-la-Neuve, Belgiumd VrijeUniversiteit Brussel, Analytical and Environmental Chemistry, Pleinlaan 2, B-1050 Brussels, Belgiume UMR Sisyphe, Université Pierre & Marie Curie/CNRS, 4 place Jussieu, 75005Paris, France Received 31 October 2011, Revised 7 May 2012, Accepted 8 May 2012, Available online 15 May 2012 Choose an option to locate/access this article: Check if you have access through your login credentials or your institution Check access doi:10.1016/j.jmarsys.2012.05.004 Get rights and content Abstract Highlights Keywords Copyright © 2012 Elsevier B.V.

FAO - DEC 2014 - Climate models predict persistent above-average rains and risk of flooding in East Africa: FAO, OIE and WHO warn countries to remain vigilant about Rift Valley fever. International Journal of Food Microbiology 62 (2000) 231–245 Predictive modelling of the growth and survival of Listeria in fishery products. IFREMER - 2003 - Modélisation de la contamination des huîtres par les toxines d'Alexandrium minutum - Rapport final (2ème année) FAO - 2005 - A primer on risk assessment modelling: focus on seafood products.

IFREMER /ANR - Modélisation Des mécanismes de Contamination des coquillages par des PHYcotoxines (MODECOPHY) EUROFISH MAGAZINE - 2014 - Predicting the shelf life of seafood under different storage conditions. PLOS 14/11/13 Data-Driven Modeling to Assess Receptivity for Rift Valley Fever Virus. Abstract Rift Valley Fever virus (RVFV) is an enzootic virus that causes extensive morbidity and mortality in domestic ruminants in Africa, and it has shown the potential to invade other areas such as the Arabian Peninsula. Here, we develop methods for linking mathematical models to real-world data that could be used for continent-scale risk assessment given adequate data on local host and vector populations. We have applied the methods to a well-studied agricultural region of California with 1 million dairy cattle, abundant and competent mosquito vectors, and a permissive climate that has enabled consistent transmission of West Nile virus and historically other arboviruses.

Our results suggest that RVFV outbreaks could occur from February–November, but would progress slowly during winter–early spring or early fall and be limited spatially to areas with early increases in vector abundance. Author Summary Editor: Michael J. Introduction , [24]) and maximal ( Methods Study area Figure 1. Data . PIREN-SEINE - Colloque annuel du programme de recherche PIREN-Seine 5-6 février 2013 Programme détaillé Le colloque annuel du programme PIREN-Seine aura lieu les 5 et 6 février 2013, dans les locaux du CNRS, 3 rue Michel Ange (Paris 16ième). L’accueil ser. ILRI 03/09/14 Présentation : Applications of ecological niche modelling for mapping the risk of Rift Valley fever in Kenya. Parasites & Vectors 2014, 7:289 Modeling the distribution of the West Nile and Rift Valley Fever vector Culex pipiens in arid and semi-arid regions of the Middle East and North Africa.

FAO 27/06/14 Risk Modelling to predict Rift Valley Fever Outbreaks in West Africa. 27 June 2014 - Since the launch of Vmerge, a research consortium to better understand Rift Valley Fever (RVF) and other vector borne diseases, the Food and Agriculture Organization of the United Nations (FAO) has been working towards increasing knowledge of RVF occurrence linked to the distribution and dynamics of competent vector populations in West Africa. This follows on from similar work conducted by FAO and other institutions in East Africa. With the use of risk modelling tools, Vmerge aims to predict RVF outbreaks in order to prevent their emergence and mitigate their consequences. Two statistical models using remote sensing tools were proposed by FAO and the Centre de coopération international en recherche agronomique pour le développement (CIRAD).

Functioning as early warning tools, both models produce risk maps. Risk maps help to predict relative vector abundance based on landscape and climatic parameters, including rainfall and vegetation indices. PLOS 06/06/13 Ecological Niche Modeling and Land Cover Risk Areas for Rift Valley Fever Vector, Culex tritaeniorhynchus Giles in Jazan, Saudi Arabia. Abstract Background The mosquito, Culex tritaeniorhynchus Giles is a prevalent and confirmed Rift Valley Fever virus (RVFV) vector.

This vector, in association with Aedimorphus arabiensis (Patton), was responsible for causing the outbreak of 2000 in Jazan Province, Saudi Arabia. Methodology/Principal Findings Larval occurrence records and a total of 19 bioclimatic and three topographic layers imported from Worldclim Database were used to predict the larval suitable breeding habitats for this vector in Jazan Province using ArcGIS ver.10 and MaxEnt modeling program.

Also, a supervised land cover classification from SPOT5 imagery was developed to assess the land cover distribution within the suitable predicted habitats. Conclusion/Significance Citation: Sallam MF, Al Ahmed AM, Abdel-Dayem MS, Abdullah MAR (2013) Ecological Niche Modeling and Land Cover Risk Areas for Rift Valley Fever Vector, Culex tritaeniorhynchus Giles in Jazan, Saudi Arabia. Copyright: © 2013 Sallam et al. Introduction. PLOS - JANV 2015 - Modelling the effects of seasonality and socioeconomic impact on the transmission of rift valley Fever virus. PLOS 01/12/14 Statistical Modeling of the Abundance of Vectors of West African Rift Valley Fever in Barkédji, Senegal. Abstract Rift Valley fever is an emerging mosquito-borne disease that represents a threat to human and animal health.

The exophilic and exophagic behavior of the two main vector in West Africa (Aedes vexans and Culex poicilipes), adverse events post-vaccination, and lack of treatment, render ineffective the disease control. Therefore it is essential to develop an information system that facilitates decision-making and the implementation of adaptation strategies. In East Africa, RVF outbreaks are linked with abnormally high rainfall, and can be predicted up to 5 months in advance by modeling approaches using climatic and environmental parameters. However, the application of these models in West Africa remains unsatisfactory due to a lack of data for animal and human cases and differences in the dynamics of the disease emergence and the vector species involved in transmission. Editor: Alexander N. Freiberg, University of Texas Medical Branch, United States of America Introduction Figure 1.

POULTRYINDUSTRYCOUNCIL_CA 25/04/12 Advancement in Poultry Disease Spread Modelling. 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia - Modelling the economic impacts of bovine viral diarrhoea virus at dairy herd level; the case of Slovenia. ENVT - 2012 - thèse en ligne : Modélisation de la mortalité bovine dans un objectif de surveillance épidémiologique. Preventive Veterinary Medicine Volume 116, Issues 1–2, 1 September 2014, Estimation of the probability of freedom from Bovine virus diarrhoea virus in Norway using scenario tree modelling. Open Access Abstract Disease caused by Bovine virus diarrhoea virus (BVDV) is notifiable in Norway. An eradication programme started in 1992. The number of herds with restrictions decreased from 2950 in 1994 to zero at the end of 2006.

From 2007, the aim of the programme has been surveillance in order to document freedom from the infection. To estimate the probability of freedom from BVDV infection in the Norwegian cattle population by the end of 2011, a scenario tree model of the surveillance program during the years 2007–2011 was used. The median probability of freedom from BVDV in Norway at the end of 2011 was 0.996; (0.995–0.997, credibility interval). Keywords Bovine virus diarrhoea; Scenario tree model; Surveillance; Cattle; Norway; Freedom from disease 1. Bovine virus diarrhoea (BVD) is caused by bovine virus diarrhoea virus (BVDV) in the genus pestivirus. 2. 2.1. Université Claude Bernard - Lyon I, - 2014 - Thèse en ligne : Analyse et modélisation des données d’inspection en abattoir dans l’objectif de contribuer à la surveillance épidémiologique de la population bovine.

ERGO 2008 - Enhanced modelling and prediction of the spread of bovine tuberculosis in mainland Britain: impacts of cattle moveme. Description This project capitalises on the exploratory studies SE3023 and SE3034 (see Background below) and will supply practical applications to underpin policy decisions on bovine tuberculosis (BTB) control options. The study is specifically intended to provide a series of policy driven outputs, including: 1. Short and medium term predictions of BTB spread for the next 2-8 years; 2. Assessments of the potential impacts of different levels and types of cattle movement control and results for chosen scenarios; 3. Evaluations of the utility of the models for assessing the actual impact of cattle movement controls after they are introduced; and 4.

Identification of linkages between these outputs and DEFRA economic models of movement control. Specific attention will be given to: 1. Background. Proceedings of the 9th International Conference on Life Cycle Assessment in the Agri-Food Sector - 2014 - A systems-LCA approach to modelling the impact of improvements in cattle health on greenhouse gas emissions. VETERINARY RESEARCH - 2015 - Modelling the spread of bovine viral diarrhea virus (BVDV) in a beef cattle herd and its impact on herd productivity. POULTRYSITE 31/01/12 Modelling Marek's Disease Virus Infection: Parameter Estimates for Mortality Rate and Infectiousness.

World's Poultry Science Journal December 2011 Analysis of risk factors for the introduction of Salmonella spp. and Campylobacter spp. in poultry farms using Delphi method. Review Article Analysis of risk factors for the introduction of Salmonella spp. and Campylobacter spp. in poultry farms using Delphi method A. WILKEa1 c1, H. -W. WINDHORSTa1 and B. GRABKOWSKYa2 a1 Institute for Spatial Analysis and Planning in Areas of Intensive Agriculture (ISPA), Driverstrasse 22, 49377 Vechta, Germany a2 Lohmann Animal Health GmbH & Co. Abstract The reduction of the prevalence of zoonoses and zoonotic agents like campylobacteriosis and salmonellosis requires eradication, control and monitoring measures to protect both animal and public health. EFSA - 2014 - Drivers of emerging risks and their interactions in the domain of biological risks to animal, plant and public health: a pilot study. Preventive Veterinary Medicine 103 (2012) 81– 92 Defining European preparedness and research needs regarding emerging infectious animal diseases: Results from a Delphi expert consultation.

Rev Panam Salud Publica 33(5), 2013 Setting priorities for surveillance, prevention, and control of zoonoses in Bogotá, Colombia. Setting priorities for surveillance, prevention, and control of zoonoses in Bogotá, Colombia Establecimiento de prioridades en la vigilancia, la prevención y el control de las zoonosis en Bogotá, Colombia Natalia CedielI; Luis Carlos VillamilII; Jaime RomeroII; Libardo RenteriaIII; Daniele De MeneghiI IDipartimento di Scienze Veterinarie, Università degli Studi di Torino, Torino, Italy. Send correspondence to: Natalia Cediel, swasanata@gmail.com, nataliacediel@uan.edu.co IIFacultad de Ciencias Agropecuarias, Universidad de La Salle, Bogotá, Colombia IIISección de Vigilancia en Salud Pública, Secretaria Distrital de Salud, Bogotá, Colombia OBJECTIVE: To establish priorities for zoonoses surveillance, prevention, and control in Bogotá, Colombia. METHODS: A Delphi panel of experts in veterinary and human medicine was conducted using a validated prioritization method to assess the importance of 32 selected zoonoses.

Study area Colombia is located in the northwestern region of South America. Preventive Veterinary Medicine - JULY 2010 - Setting priorities for non-regulatory animal health in Ireland: Results from an expert Policy Delphi study and a farmer priority identification survey. <div class="msgBox" style="margin-top:10px;"><span class="errMsg"><div>JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. </div></span></div><br /> a Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Irelandb Institute for Food and Health, UCD School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Irelandc Animal Health Ireland, 7 The Green, Ocean Links, Strandhill, Co.

Sligo, Irelandd Herd Health and Animal Husbandry, UCD School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Irelande Irish Cattle Breeding Federation Society Ltd., Highfield House, Shinagh, Bandon, Co. Cork, Irelandf Animal Health Ireland, Killashee, Co. Doi:10.1016/j.prevetmed.2010.04.011 Get rights and content Open Access Abstract Keywords 1. 2. 2.1. 3.

Preventive Veterinary Medicine Volume 103, Issues 2–3, 1 February 2012 Defining European preparedness and research needs regarding emerging infectious animal diseases: Results from a Delphi expert consultation. A Marketing and Consumer Behaviour Group, Social Sciences, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlandsb Directorate General Control Policy, Federal Agency for the Safety of the Food Chain, Kruidtuinlaan 55, 1000 Brussels, Belgiumc Operational Directorate Bacterial Diseases, CODA-CERVA (Veterinary and Agrochemical Research Centre), Groeselenberg 99, 1180 Brussels, Belgiumd Office for Risk Assessment and Research, Food and Consumer Product Safety Authority, Ministry of Economic Affairs, Agriculture and Innovation, Catharijnesingel 59, 3511 GG Utrecht, The Netherlandse Centre for Rural Economy, School of Agriculture, Food and Rural Development, Newcastle University, Agriculture Building, NE1 7RU Newcastle upon Tyne, UK Received 2 May 2011, Revised 18 August 2011, Accepted 19 September 2011, Available online 13 October 2011 Choose an option to locate/access this article: Check if you have access through your login credentials or your institution Check access.

ERGO 2008 - Enhanced modelling and prediction of the spread of bovine tuberculosis in mainland Britain: impacts of cattle movements, climate and spoligotype. AFSSA ARCHIVES OUVERTES - 2007 - Thèse en ligne : TUBERCULOSE BOVINE DANS UNE POPULATION DE CERFS ET DE SANGLIERS SAUVAGES : EPIDEMIOLOGIE ET MODELISATION. AUSTRALIAN VETERINARY JOURNAL 26/01/15 Modelling foot-and-mouth disease transmission in a wild pig–domestic cattle ecosystem. Livestock Science Volume 146, Issues 2–3, July 2012, Modelling of Johne's disease control options in beef cattle: A decision sup. 61st EAAP, Heraklion, Crete Island, Greece , August 23-27, 2010, Session 12, no 4 - Model Comparison for Genetic Analysis of Clinical Mastitis in Norwegian Red cows.

PLOS 17/02/12 Modelling the Influence of Foot-and-Mouth Disease Vaccine Antigen Stability and Dose on the Bovine Immune Response. Preventive Veterinary Medicine Volume 106, Issue 2, 15 September 2012, Modelling bovine babesiosis: A tool to simulate scenarios. Volume 106, Issue 2, 15 September 2012, Pages 136–142 Special Issue: SVEPM 2011 - Current Advances in Understanding the Spread and Control of Animal Diseases 2011 Society of Veterinary Epidemiology and Preventive Medicine conference Edited By T.A. Martinez, Louise Kelly, Koen Mintiens, Tim Parkin, Dirk Pfeiffer, Liza Rosenbaum Nielsen and Kristien Verheyen a INRA, UMR 1300 Bio-Agression, Epidémiologie et Analyse de Risque, Nantes, F-44307, Franceb LUNAM Université, ONIRIS, UMR 1300 Bio-Agression, Epidémiologie et Analyse de Risque, Nantes, F-44307, France Available online 16 February 2012 Choose an option to locate/access this article: Check if you have access through your login credentials or your institution Check access Get rights and content Abstract Tick-borne diseases are of increasing concern in many countries, particularly as a consequence of changes in land use and climate.

Keywords Copyright © 2012 Elsevier B.V. ANSES ARCHIVES OUVERTES - 2007 - Thèse en ligne : TUBERCULOSE BOVINE DANS UNE POPULATION DE CERFS ET DE SANGLIERS SAUVAGES : EPI. Zoonoses and Public Health - Volume 59, Issue Supplement s2, pages 170–178, September 2012 - Modelling Transmission of Bovine Tu. UNIVERSITY OF ZURICH - 2012 - The influence of empirical contact networks on modelling diseases in cattle. Université Claude Bernard - Lyon 11/12/12 Thèse en ligne : Modélisation de la mortalité bovine dans un objectif de surveillance. PLOS 01/10/14 Stability, Bifurcation and Chaos Analysis of Vector-Borne Disease Model with Application to Rift Valley Fever. Methods Gaff et al. [12] proposed a one host and two vectors population model for RVF with vertical transmission in Aedes vectors to study the transmission of RVF and the impact of vertical transmission on the persistence of the disease.

Chitnis et al. [9] analysed a RVF model with vertical transmission for Aedes mosquitoes and included asymptomatic class for livestock and removed one population of mosquitoes. The model presented in this paper adopts a similar structure as in Gaff et al. [12]. We introduce an asymptomatic class for livestock [9], because for many species of livestock, RVF virus infection are frequently subclinical [26], [27]. We divide the livestock population into four classes: susceptible, , asymptomatic, , infectious, , and recovered (immune), . And the proportion of susceptible livestock must be renewed through birth or movement before another outbreak can occur [28]. To either the infected symptomatic or asymptomatic class. . . , exposed, , and infectious, . And . . Figure 1.

PLOS - DEC 2014 - A spatially explicit metapopulation model and cattle trade analysis suggests key determinants for the recurrent circulation of rift valley Fever virus in a pilot area of madagascar highlands. University of Dar es Salaam - MARS 2014 - Thèse en ligne : MATHETICAL MODELLING OF THE EFFECTS OF SEASONALITY IN THE TRANSMISSION DYNAMICS OF RIFT VALLEY FEVER (RVF) 3TROIS3 31/03/14 Circovirus porcin (PCV2) Modélisation de la dynamique d'infection par le PCV2 en naissage-engraissement. Modélisation : une approche complémentaire des études expérimentales et de terrain On utilise la modélisation de plus en plus souvent pour représenter et analyser des systèmes biologiques complexes avec leurs interactions. Selon George E.P.

Box "fondamentalement tous les modèles sont incorrects, bien que quelques-uns soient utiles" ce qui reflète le principal objectif des études de modélisation : représenter des systèmes complexes par une simplification qui permet leur analyse, qui capte notre intérêt et qui intègre les principaux processus. La modélisation est, de cette manière, une importante approche complémentaire des études observationnelles et expérimentales, à partir de laquelle on peut envisager de nouvelles questions et hypothèses.

Figure 1 : Représentation du modèle de dynamique de population chez les porcs Développement du modèle Le modèle de dynamique de population a été construit en considérant chaque animal de façon individuelle (figure 1). Photo 1. Journal of Agricultural and Resource Economics 36(2):242–262 2011 Strategic Incentives in Biosecurity Actions: Theoretical and E. Animal Feeding Site Assessment Tool (AFOSITE) Selected Paper prepared for presentation at the Agricultural & Applied Economics Association 2009 AAEA & ACCI Joint Annual Meeti. BULLETIN DE LA SOCIETE ROYALE DES SCIENCES DE LIEGE - 2002 - La traçabilité des maladies infectieuses animales.

EVIRA - 2013 - Rapid risk assessment tool for animal disease risk assessment, method development project. PLOS 26/09/14 Simulation Modelling of Population Dynamics of Mosquito Vectors for Rift Valley Fever Virus in a Disease Epidemic Setting. CRESA - 2010 - Thèse en ligne : Application of stochastic models to assess the probability of introduction and persistence of bl.

Épidémiol. et santé anim., 2014, 66, 5-18 VERS UN MONITORING DES FACTEURS DE RISQUE D’ÉMERGENCE DES MALADIES ANIMALES ? EFSA - 2014 - Drivers of emerging risks and their interactions in the domain of biological risks to animal, plant and public health: a pilot study. PLOS 04/11/15 Simulation-Based Evaluation of the Performances of an Algorithm for Detecting Abnormal Disease-Related Features in Cattle Mortality Records. PLOS 06/07/15 A Stochastic Model to Study Rift Valley Fever Persistence with Different Seasonal Patterns of Vector Abundance: New Insights on the Endemicity in the Tropical Island of Mayotte. CIRAD - MAI 2014 - Poster : Modélisation multi-agents appliquée au secteur de l'élevage porcin à Madagascar pour l'évaluation de scénarii de lutte contre la cysticercose: résultats préliminaires. Journal of Medical Virology 85:670–676 (2013) Serologic Evidence of Avian Influenza Virus Infections Among Nigerian Agricultural Workers.

INTERNATIONAL JOURNAL OF ANIMAL AND VETERINARY ADVANCES 20/01/15 Impact of Avian Influenza Outbreaks on Stakeholders in the Poultry Industry in Jos, Plateau State, Nigeria. International Scholarly Research Notices 22/10/14 Mortality and Pathology Associated with Highly Pathogenic Avian Influenza H5N1 Outbreaks in Commercial Poultry Production Systems in Nigeria. FAO - AVRIL 2015 - EMPRES WATCH - H5N1 HPAI spread in Nigeria and increased risk for neighbouring countries in West Africa. IOSR Journal of Agriculture and Veterinary Science - FEV 2015 - A Study on Awareness, Attitudes, and Practices Related To Avian Influenza among Poultry Workers in Dawakin Tofa Local Government, Kano State, Nigeria.

Scientific Journal of Veterinary Advances (SJVA), Volume 2013; 2(7) Retrospective survey of spatio-temporal spread of avian infl. PREMIUM TIMES 12/07/15 Bird Flu: Nigeria destroys 1.4 million chickens. CDC EID - Volume 21, Number 7—July 2015. Au sommaire notamment: Highly Pathogenic Avian Influenza A(H5N1) Virus in Poultry, Nigeria, 2015 ; SAHEL - JUNE 2015 - An Assessment of the Nigerian Poultry Sector. J Med Virol. 2013 Apr;85(4):670-6. Serologic evidence of avian influenza virus infections among Nigerian agricultural workers. Journal of Parasitology and Vector Biology Vol.6(1) January 2014 Using health education intervention to improve knowledge and practice of prevention of avian influenza among bird handlers in Sokoto, Nigeria.

Epidemiol Infect. 2014 May;142(5):940-9. Epidemiological analysis of spatially misaligned data: a case of highly pathogenic avia. La m-Health permettrait d’économiser 99 milliards d’euros en Europe en 2017. CDC EID - Volume 21, Number 7—July 2015. Highly Pathogenic Avian Influenza A(H5N1) Virus in Poultry, Nigeria, 2015 ; FAO - AVRIL 2015 - EMPRES WATCH - H5N1 HPAI spread in Nigeria and increased risk for neighbouring countries in West Africa.

THE DAY LIVE 28/07/15 Resurgence of Bird Flu in Nigeria and Beyond. JOURNAL OF RESEARCH IN PHYSICAL SCIENCES - 2009 - Development of a model for bird flu diagnosis. Infectious Diseases of Poverty 2014, 3 :38 Circulation of the low pathogenic avian influenza subtype H5N2 virus in ducks at a live bird market in Ibadan, Nigeria. MEDICAL VIRILOGY 28/03/14 Evidence for subclinical H5N1 avian influenza infections among Nigerian poultry workers.