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Rift Valley fever vector diversity and impact of meteorological and environmental factors on Culex pipiens dynamics in the Okavango Delta, Botswana

Hammami Pachka, Tran Annelise, Kemp Alan, Tshikae Power, Kgori Patrick M., Chevalier Véronique, Paweska Janusz, Jori Ferran. 2016. Rift Valley fever vector diversity and impact of meteorological and environmental factors on Culex pipiens dynamics in the Okavango Delta, Botswana. Parasites and Vectors, 9 (434), 17 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Quartile : Q1, Sujet : PARASITOLOGY

Abstract : Background: In Northern Botswana, rural communities, livestock, wildlife and large numbers of mosquitoes cohabitate around permanent waters of the Okavango Delta. As in other regions of sub-Saharan Africa, Rift Valley Fever (RVF) virus is known to circulate in that area among wild and domestic animals. However, the diversity and composition of potential RVF mosquito vectors in that area are unknown as well as the climatic and ecological drivers susceptible to affect their population dynamics. Methods: Using net traps baited with carbon dioxide, monthly mosquito catches were implemented over four sites surrounding cattle corrals at the northwestern border of the Okavango Delta between 2011 and 2012. The collected mosquito species were identified and analysed for the presence of RVF virus by molecular methods. In addition, a mechanistic model was developed to assess the qualitative influence of meteorological and environmental factors such as temperature, rainfall and flooding levels, on the population dynamics of the most abundant species detected (Culex pipiens). Results: More than 25,000 mosquitoes from 32 different species were captured with an overabundance of Cx. pipiens (69,39 %), followed by Mansonia uniformis (20,67 %) and a very low detection of Aedes spp. (0.51 %). No RVF virus was detected in our mosquito pooled samples. The model fitted well the Cx. pipiens catching results (ρ = 0.94, P = 0.017). The spatial distribution of its abundance was well represented when using local rainfall and flooding measures (ρ = 1, P = 0.083). The global population dynamics were mainly influenced by temperature, but both rainfall and flooding presented a significant influence. The best and worst suitable periods for mosquito abundance were around March to May and June to October, respectively. Conclusions: Our study provides the first available data on the presence of potential RVF vectors that could contribute to the maintenance and dissemination of RVF virus in the Okavango Delta. Our model allowed us to understand the dynamics of Cx. pipiens, the most abundant vector identified in this area. Potential predictions of peaks in abundance of this vector could allow the identification of the most suitable periods for disease occurrence and provide recommendations for vectorial and disease surveillance and control strategies. (Résumé d'auteur)

Mots-clés Agrovoc : Culicidae, Culex pipiens, Vecteur de maladie, Dynamique des populations, Transmission des maladies, Virus de la fièvre de la vallée du Rift, Télédétection, Facteur climatique, Facteur du milieu, eau, Température, Précipitation, Modèle de simulation, Contrôle de maladies, Surveillance épidémiologique, Fièvre de la Vallée du Rift

Mots-clés géographiques Agrovoc : Botswana

Mots-clés libres : Population dynamics modeling, Okavango Delta, Climatic factors, Flooding, Mosquito, Culex pipiens, Vector, Rift Valley fever, Remote sensing, Botswana

Classification Agris : L73 - Animal diseases
L72 - Pests of animals
L20 - Animal ecology
P40 - Meteorology and climatology
U10 - Mathematical and statistical methods

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Hammami Pachka, CIRAD-BIOS-UMR CMAEE (FRA)
  • Tran Annelise, CIRAD-ES-UPR AGIRs (REU) ORCID: 0000-0001-5463-332X
  • Kemp Alan
  • Tshikae Power, University of Pretoria (ZAF)
  • Kgori Patrick M., Ministère de l'agriculture (Botswana) (BWA)
  • Chevalier Véronique, CIRAD-ES-UPR AGIRs (FRA)
  • Paweska Janusz, National Institute for Communicable Diseases (ZAF)
  • Jori Ferran, CIRAD-ES-UPR AGIRs (BWA) ORCID: 0000-0001-5451-7767

Source : Cirad-Agritrop (https://agritrop.cirad.fr/581361/)

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