期刊
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
卷 92, 期 1, 页码 88-97出版社
AMER SOC TROP MED & HYGIENE
DOI: 10.4269/ajtmh.13-0617
关键词
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资金
- National Institutes of Health [AI069145]
- US National Institutes of Health National Institute of General Medical Sciences Models of Infectious Disease Agent Study (MIDAS) [1U54GM088491-0109]
- National Science Foundation Graduate Research Fellowship [DGE-0707427]
- Omidyar Postdoctoral Fellowship Program
- Burroughs Wellcome Fund
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.
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