Modeling the population dynamics of Rift Valley fever virus mosquito vectors in the western Mediterranean Basin

Author:

Drouin Alex1,Balenghien Thomas2,Durand Benoit1,Aranda Carles3,Bennouna Amal4,Bouattour Ali5,Boubidi Said C6,Conte Annamaria7,Delacour Sarah8,Goffredo Maria7,Himmi Oumnia9,L’Ambert Grégory10,Schaffner Francis11,Chevalier Véronique2

Affiliation:

1. French Agency for Food, Environmental and Occupational Health & Safety

2. CIRAD, UMR ASTRE

3. IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB)

4. Institut Pasteur

5. Institut Pasteur de Tunis, Université Tunis El Manar

6. Institut Pasteur d'Algérie

7. Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise 'G. Caporale'

8. University of Zaragoza

9. Scientific Institute, Mohammed V University

10. EID Méditerranée, Direction Technique

11. Francis Schaffner Consultancy (FSC)

Abstract

Abstract Rift Valley fever (RVF) is a zoonotic vector-borne disease mainly transmitted by mosquitoes, and present in Africa, the Arabian Peninsula, and the Indian Ocean. The endemic situation in Mauritania, and the recent outbreaks in Libya have raised concerns about the potential spread of the virus in the Mediterranean Basin, where competent mosquitoes are present. Because vector abundance is one of the drivers of RVF virus (RVFV) transmission, knowledge on species distributions and population dynamics is needed to implement entomological surveillance and to assess the risk of viral circulation. Here, we adapted a modeling framework of mosquito population dynamics to five species considered as possible RVFV vectors in the western Mediterranean Basin (Aedes caspius, Aedes detritus, Aedes vexans, Culex pipiens and Culex theileri). The mechanistic model used a daily time step and a 0.1° x 0.1° spatial resolution and was based on meteorological data along with published vector distribution maps. We gathered mosquito trapping data from Spain, France, Italy and Morocco to calibrate the model and to evaluate its predictions. The temporal correlation between predicted abundance and observational data was satisfactory. Goodness-of-fit was better for Aedes species, thus offering the means to target the area of interest for the surveillance of Ae. caspius, a highly competent mosquito species.

Publisher

Research Square Platform LLC

Reference61 articles.

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2. The challenging management of Rift Valley Fever in humans: literature review of the clinical disease and algorithm proposal;Javelle E;Ann. Clin. Microbiol. Antimicrob.,2020

3. Rift Valley fever — epidemiological update and risk of introduction into Europe;Nielsen SS;EFSA Journal,2020

4. Scientific Opinion on Rift Valley fever;EFSA Panel on Animal Health and Welfare (AHAW);EFSA Journal,2013

5. Evidence of rift valley fever seroprevalence in the Sahrawi semi-nomadic pastoralist system, Western Sahara;Nardo A;BMC Veterinary Research,2014

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