Changes in the Transmission Dynamic of Chikungunya Virus in Southeastern Senegal

Autor:	Scott C. Weaver, Oumar Ndiaye, Abdourahmane Sow, Mawlouth Diallo, Bakary Djilocalisse Sadio, Amadou A. Sall, Ousmane Faye, Anta Tall Dia, Birgit Nikolay, Oumar Faye, Denis Malvy, Jorge Cano, Simon Cauchemez
Přispěvatelé:	Arbovirus et Virus de Fièvres Hémorragiques [Dakar, Sénégal], Institut Pasteur de Dakar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD), Team MORPH3EUS (INSERM U1219 - UB - ISPED), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Modélisation mathématique des maladies infectieuses, Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), London School of Hygiene and Tropical Medicine (LSHTM), Unité d'Entomologie Médicale [Dakar] (UEM), The University of Texas Medical Branch (UTMB), The research was supported by the National Institutes of Health (NIH), Grant Number AI1069145., Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Limouzin, Cécile
Rok vydání:	2020
Předmět:	Male Rural Population 0301 basic medicine Veterinary medicine lcsh:QR1-502 environmental risk MESH: Chikungunya Fever Forests Antibodies Viral medicine.disease_cause Logistic regression spatial autocorrelation Population density lcsh:Microbiology law.invention MESH: Aged 80 and over 0302 clinical medicine MESH: Rural Population Seroepidemiologic Studies [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] law MESH: Child Chikungunya Child [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST] Aged 80 and over MESH: Aged MESH: Immunoglobulin G MESH: Middle Aged Age Factors virus diseases Middle Aged MESH: Forests MESH: Mining MESH: Infant Senegal 3. Good health Infectious Diseases Transmission (mechanics) MESH: Young Adult Child Preschool Female Sylvatic cycle Adult Adolescent MESH: Population Density 030231 tropical medicine Environment Biology Article Mining gold mining Young Adult 03 medical and health sciences MESH: Senegal Virology medicine Humans Seroprevalence MESH: Environment Aged Population Density MESH: Adolescent MESH: Age Factors MESH: Seroepidemiologic Studies MESH: Humans MESH: Child Preschool Infant Outbreak MESH: Adult Odds ratio 15. Life on land MESH: Male 030104 developmental biology Immunoglobulin G Chikungunya Fever MESH: Female MESH: Antibodies Viral
Zdroj:	Viruses Viruses, MDPI, 2020, 12 (2), pp.196. ⟨10.3390/v12020196⟩ Viruses, 2020, 12 (2), pp.196. ⟨10.3390/v12020196⟩ Volume 12 Issue 2 Viruses, Vol 12, Iss 2, p 196 (2020)
ISSN:	1999-4915
Popis:	In Senegal, chikungunya virus (CHIKV) is maintained in a sylvatic cycle and causes sporadic cases or small outbreaks in rural areas. However, little is known about the influence of the environment on its transmission. To address the question, 120 villages were randomly selected in the Kedougou region of southeastern Senegal. In each selected village, 10 persons by randomly selected household were sampled and tested for specific anti-CHIKV IgG antibodies by ELISA. We investigated the association of CHIKV seroprevalence with environmental variables using logistic regression analysis and the spatial correlation of village seroprevalence based on semivariogram analysis. Fifty-four percent (51%&ndash 57%) of individuals sampled during the survey tested positive for CHIKV-specific IgG. CHIKV seroprevalence was significantly higher in populations living close to forested areas (Normalized Difference Vegetation Index (NDVI), Odds Ratio (OR) = 1.90 (1.42&ndash 2.57)), and was negatively associated with population density (OR = 0.76 (0.69&ndash 0.84)). In contrast, in gold mining sites where population density was > 400 people per km2, seroprevalence peaked significantly among adults (46% (27%&ndash 67%)) compared to all other individuals (20% (12%&ndash 31%)). However, traditional gold mining activities significantly modify the transmission dynamic of CHIKV, leading to a potential increase of the risk of human exposition in the region.
Databáze:	OpenAIRE
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