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干燥天气会导致人类西尼罗河病毒感染爆发。

Dry weather induces outbreaks of human West Nile virus infections.

机构信息

Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, Mississippi State, Mississippi 39762, USA.

出版信息

BMC Infect Dis. 2010 Feb 24;10:38. doi: 10.1186/1471-2334-10-38.

Abstract

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.

摘要

背景

自 1999 年首次在纽约市地区出现以来,西尼罗河病毒(WNV)已迅速在北美传播,并成为北美主要的公共卫生关注点。到 2002 年,WNV 已在美国 40 个州和哥伦比亚特区报告,共有 4156 例人类和 14539 例马属动物感染病例。在 2002 年美国 WNV 疫情中,密西西比州的人类发病率最高。WNV 的流行会对当地经济造成巨大影响。因此,预测人类 WNV 风险对于疾病的成本效益控制和有限资源的最佳分配是有利的。了解降水与 WNV 传播之间的关系对于预测在预测的全球气候变化情景下人类 WNV 疾病爆发的风险至关重要。

方法

我们使用标准发病率比(SMR)和贝叶斯层次模型分析了 2002 年密西西比州 82 个县的人类 WNV 发病率数据,以确定降水与人类 WNV 风险之间的关系。我们还使用 WinBUGS 1.4.3 中的条件自相关(CAR)模型来考虑人类 WNV 风险的空间自相关。

结果

我们观察到县级人类 WNV 发病率风险与前一年的总年降雨量之间存在反比关系。代表人类接触 WNV 风险空间异质性的参数改善了模型拟合度。前一年的年降水量是 WNV 风险空间变化的预测因子。

结论

我们的研究结果对 WNV 的风险评估和预测 WNV 爆发具有广泛的意义。评估虫媒传染病的风险需要了解复杂的生态关系。基于过去气候特征干旱的发生以及对气候变化和未来潜在更大干旱发生的气候模型预测,我们认为 WNV 爆发的频率和相对风险可能会增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aef/2841181/5c2552e0e851/1471-2334-10-38-1.jpg

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