Dry weather induces outbreaks of human West Nile virus infections
| Autor: | Guiming Wang, Jerrold L. Belant, Charles L. Wax, Richard B. Minnis |
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| Rok vydání: | 2010 |
| Předmět: |
medicine.medical_specialty
West Nile virus Rain animal diseases viruses Climate change medicine.disease_cause lcsh:Infectious and parasitic diseases Disease Outbreaks City area Mississippi medicine Humans lcsh:RC109-216 Socioeconomics Transmission (medicine) Public health virus diseases Outbreak Virology nervous system diseases Infectious Diseases Geography Limited resources West Nile Fever Research Article |
| Zdroj: | BMC Infectious Diseases BMC Infectious Diseases, Vol 10, Iss 1, p 38 (2010) |
| ISSN: | 1471-2334 |
| Popis: | Background Since its first occurrence in the New York City area during 1999, West Nile virus (WNV) has spread rapidly across North America and has become a major public health concern in North America. By 2002, WNV was reported in 40 states and the District of Columbia with 4,156 human and 14,539 equine cases of infection. Mississippi had the highest human incidence rate of WNV during the 2002 epidemic in the United States. Epidemics of WNV can impose enormous impacts on local economies. Therefore, it is advantageous to predict human WNV risks for cost-effective controls of the disease and optimal allocations of limited resources. Understanding relationships between precipitation and WNV transmission is crucial for predicting the risk of the human WNV disease outbreaks under predicted global climate change scenarios. Methods We analyzed data on the human WNV incidences in the 82 counties of Mississippi in 2002, using standard morbidity ratio (SMR) and Bayesian hierarchical models, to determine relationships between precipitation and human WNV risks. We also entertained spatial autocorrelations of human WNV risks with conditional autocorrelative (CAR) models, implemented in WinBUGS 1.4.3. Results We observed an inverse relationship between county-level human WNV incidence risk and total annual rainfall during the previous year. Parameters representing spatial heterogeneity in the risk of human exposure to WNV improved model fit. Annual precipitation of the previous year was a predictor of spatial variation of WNV risk. Conclusions Our results have broad implications for risk assessment of WNV and forecasting WNV outbreaks. Assessing risk of vector-born infectious diseases will require understanding of complex ecological relationships. Based on the climatologically characteristic drought occurrence in the past and on climate model predictions for climate change and potentially greater drought occurrence in the future, we suggest that the frequency and relative risk of WNV outbreaks could increase. |
| Databáze: | OpenAIRE |
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