Journal Article

Identification of drivers of Rift Valley fever after the 2013–14 outbreak in Senegal using serological data in small ruminants

Squarzoni-Diaw, Cécile, Laboratoire National d'Elevage et de Recherches Vétérinaires [Dakar] (LNERV) ; Institut sénégalais de recherches agricoles [Dakar] (ISRA), Apolloni, Andrea, Food and Agriculture Organization of the United Nations, Subregional Office for West Africa [Dakar] (FAO) ; Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Institut sénégalais de recherches agricoles [Dakar] (ISRA), Fall, Assane Gueye, Coste, Caroline, Diop, Mariane, Faye, Coumba, This study was supported by the Food And Agriculture Organization (FAO) with grant number FAO/TCP/SEN/3503 to I. S, Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ciss, Mamadou, Sall, Baba, Direction des Services Vétérinaires de Dakar ; Ministère de l’Élevage et des Productions Animales [Dakar], Cêtre-Sossah, Catherine Béatrice, Lo

2022

Overview

Rift Valley fever (RVF) is a mosquito-borne disease mostly affecting wild and domestic ruminants. It is widespread in Africa, with spillovers in the Arab Peninsula and the southwestern Indian Ocean. Although RVF has been circulating in West Africa for more than 30 years, its epidemiology is still not clearly understood. In 2013, an RVF outbreak hit Senegal in new areas that weren’t ever affected before. To assess the extent of the spread of RVF virus, a national serological survey was implemented in young small ruminants (6–18 months old), between November 2014 and January 2015 (after the rainy season) in 139 villages. Additionally, the drivers of this spread were identified. For this purpose, we used a beta-binomial ( B B ) logistic regression model. An Integrated Nested Laplace Approximation (INLA) approach was used to fit the spatial model. Lower cumulative rainfall, and higher accessibility were both associated with a higher RVFV seroprevalence. The spatial patterns of fitted RVFV seroprevalence pointed densely populated areas of western Senegal as being at higher risk of RVFV infection in small ruminants than rural or southeastern areas. Thus, because slaughtering infected animals and processing their fresh meat is an important RVFV transmission route for humans, more human populations might have been exposed to RVFV during the 2013–2014 outbreak than in previous outbreaks in Senegal.

• Publisher: Public Library of Science,CCSD,Public Library of Science (PLoS)
• Subject: Animal Diseases - epidemiology / Animal Diseases - virology / Animal Husbandry / Animals / Approximation / Aquatic insects / Biology and Life Sciences / Coccidioidomycosis / Diagnosis / Disease Outbreaks - veterinary / Diseases / Distribution / Domestic animals / Epidemics / Epidemiology / Fever / Forecasts and trends / Health risks / Human populations / Humans / Infections / Life Sciences / Logistic Models / Meat / Medicine and health sciences / Mosquitoes / Outbreaks / People and Places / Population density / Rain / Rainfall / Rainy season / Regression models / Rift Valley fever / Rift Valley Fever - epidemiology / Rift Valley Fever - transmission / Rift Valley fever virus - immunology / Rift Valley fever virus - isolation & purification / Risk factors / Ruminants / Ruminants - virology / Rural areas / Sample size / Senegal / Senegal - epidemiology / Seroepidemiologic Studies / Serology / Surveying / Transmission / Tropical diseases / Urban areas / Vector-borne diseases / Viral diseases / Viral infections / Viral Zoonoses - epidemiology / Viruses / Wet season / Zoonoses
• ISBN: 0007513964000