Althouse Benjamin M, Hanley Kathryn A, Diallo Mawlouth, Sall Amadou A, Ba Yamar, Faye Ousmane, Diallo Diawo, Watts Douglas M, Weaver Scott C, Cummings Derek A T
Santa Fe Institute, Santa Fe, New Mexico; Department of Biology, New Mexico State University, Las Cruces, New Mexico; Institut Pasteur de Dakar, Dakar, Senegal; Office of Research and Sponsored Projects, University of Texas, El Paso, Texas; Tropical Diseases and Department of Pathology, University of Texas Medical Branch, Galveston, Texas; Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
Santa Fe Institute, Santa Fe, New Mexico; Department of Biology, New Mexico State University, Las Cruces, New Mexico; Institut Pasteur de Dakar, Dakar, Senegal; Office of Research and Sponsored Projects, University of Texas, El Paso, Texas; Tropical Diseases and Department of Pathology, University of Texas Medical Branch, Galveston, Texas; Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Am J Trop Med Hyg. 2015 Jan;92(1):88-97. doi: 10.4269/ajtmh.13-0617. Epub 2014 Nov 17.
Sylvatic arboviruses have been isolated in Senegal over the last 50 years. The ecological drivers of the pattern and frequency of virus infection in these species are largely unknown. We used time series analysis and Bayesian hierarchical count modeling on a long-term arbovirus dataset to test associations between mosquito abundance, weather variables, and the frequency of isolation of dengue, yellow fever, chikungunya, and Zika viruses. We found little correlation between mosquito abundance and viral isolations. Rainfall was a negative predictor of dengue virus (DENV) isolation but a positive predictor of Zika virus isolation. Temperature was a positive predictor of yellow fever virus (YFV) isolations but a negative predictor of DENV isolations. We found slight interference between viruses, with DENV negatively associated with concurrent YFV isolation and YFV negatively associated with concurrent isolation of chikungunya virus. These findings begin to characterize some of the ecological associations of sylvatic arboviruses with each other and climate and mosquito abundance.
在过去50年里,塞内加尔已分离出丛林虫媒病毒。这些物种中病毒感染模式和频率的生态驱动因素在很大程度上尚不清楚。我们对一个长期虫媒病毒数据集进行了时间序列分析和贝叶斯分层计数建模,以测试蚊子数量、天气变量与登革热、黄热病、基孔肯雅热和寨卡病毒分离频率之间的关联。我们发现蚊子数量与病毒分离之间几乎没有相关性。降雨是登革热病毒(DENV)分离的负预测因子,但却是寨卡病毒分离的正预测因子。温度是黄热病病毒(YFV)分离的正预测因子,但却是DENV分离的负预测因子。我们发现病毒之间存在轻微干扰,DENV与同时期YFV分离呈负相关,YFV与同时期基孔肯雅热病毒分离呈负相关。这些发现开始描述了一些丛林虫媒病毒之间以及与气候和蚊子数量的生态关联。