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Nous vous invitons à venir nombreux au prochain séminaire du MIVEGEC le jeudi 30 mars à 11h00 dans l'amphithéâtre des plantes du centre IRD de Montpellier

Claire DUROT, nous fera une présentation intitulée

The WIN Initiative: A Global Approach to Combat Insecticide Resistance in Arbovirus Vectors

 

Résumé de la présentation :

Arboviruses transmitted by mosquitoes represent a major threat to public health worldwide. The emergence of dengue is recognized as a major concern by the WHO with more than 40% of the world's population at risk. Furthermore, Zika virus has spread to more than 30 countries in the Americas and the Caribbean, affecting over 1.5 million people. The control of Aedes mosquito populations by the use of insecticides still remain the first line of defense against arboviruses. Unfortunately, decades of efforts failed to consistently control Aedes mosquito populations and/or to curtail the cycle of epidemics. The use of the same insecticides for more than 40 years coupled with the spread of Aedes mosquitoes has also resulted in the worldwide spread of insecticide resistance. Resistance is now recognized by the WHO as an important factor threatening arboviral disease control and there is an urgent need to identify the countries/regions where resistance could challenge vector control interventions. To detect and manage insecticide resistance at the early stage and to deploy alternative strategies for vector control, a coordinated approach is imperative. Institutions and stakeholders have to collaborate in an integrated manner to improve the research and training capacity of national partners located in endemic areas and countries faced with outbreak. Supported by the WHO Special Programme for Research and Training in Tropical Diseases (TDR) and the Department of Neglected Tropical Diseases (NTDs) since March 2016, the Worldwide Insecticide resistance Network, WIN (http://win-network.ird.fr/) brings together 18 internationally recognized institutions in vector research from Africa, the Eastern Mediterranean, Europe, South America, Southeast Asia, North America, and the Western Pacific to track insecticide resistance at a global scale. The overall goal of WIN is to provide WHO and Member States with evidence and expertise to guide recommendations for resistance management and deployment of alternative arbovirus vector control methods. Particular objectives are to identify specific geographic areas where resistance may challenge vector control interventions, to explore the mechanisms conferring resistance, and to predict further expansion. Such objectives will be achieved by producing in-depth reviews of insecticide resistance–related topics by internationally recognized experts.

 


Planning séminaires

 

 

 

 

 

Artcile dans PELERIN le 11/08/16 par Frédéric Niel

 

Le débat : Faut-il éradiquer les moustiques ?

 

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Avec la contribution de Frédéric DARRIET

 

 

 

 

Artcile dans Le Monde Science et Medecine le 14/12/16 par Nathaniel Herzberg

La moustiquaire, arme de protection massive

 

> voir l'article

 

Avec la contribution de Frédéric DARRIET

 

 

 

Nous vous invitons à venir nombreux au prochain séminaire du MIVEGEC ce jeudi 23 de mars à 11h00 dans l'amphithéâtre des plantes du centre IRD de Montpellier,

Zhichao Li, Doctorant dirigé par Emmnuel Roux et Nadine Dessay de la Maison de teledetection/IRD, nous fera une présentation intitulée :

Mapping a Knowledge-based Malaria Hazard Index Related to Landscape Using Remote Sensing: Application to the Cross-border Area between French Guiana and Brazil

 

 

Résumé de la présentation :

Malaria remains one of the most common vector-borne diseases in the world. Identifying malaria risk factors and modeling malaria transmission processes can be conducive to the definition of novel control strategies of malaria. However, data-driven models are often difficult to build, as data are very often incomplete, heterogeneous in nature and in quality, and/or biased, especially in these remote areas where epidemiological, entomological, and environmental monitoring are inefficient and/or irregular. In this context, a knowledge-based approach is proposed to build a robust and general landscape-based hazard index for malaria transmission that is tailored to the Amazonian region. A partial knowledge-based model of the risk of malaria transmission in the Amazonian region, based on landscape features and extracted from a systematic literature review, was used. Spatialization of the model was obtained by generating land use and land cover maps of the cross-border area between French Guiana and Brazil, followed by computing and combining landscape metrics (percent of forest and edge density between forest and non-forest patches) to build a normalized landscape-based hazard index (NLHI). Such index is easy to interpret and successfully represents the current knowledge about the role played by landscape patterns in malaria transmission within the study area. More generally, for each location in the forest vs. non-forest landscape, the percentage of forest is higher and the border of forest vs. non-forest areas is more complex, the chance of human-vector encounters is higher. It was significantly associated with P. falciparum incidence rates, using the Pearson and Spearman correlation coefficients (up to 0.79 and 0.75, respectively; p-value < 0.001), and the linear regression coefficient of determination (reaching 0.63; p-values < 0.001). This study establishes a spatial knowledge-driven, landscape-based hazard malaria index using remote sensing that can be easily produced on a regular basis and might be useful for malaria prediction, surveillance, and control.

 

 


Planning séminaires

 

 

 

Entretien avec Eric Leroy,
Directeur de Recherche à l'IRD
Directeur Général du Centre International de Recherches Médicales de Francheville (CIRMF) Gabon

 

> also available in English