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Determinants of the population growth of the West Nile virus mosquito vector Culex pipiens in a repeatedly affected area in Italy

机译:在意大利反复受影响的地区,西尼罗河病毒蚊子蚊子蚊子蚊虫病毒蚊虫的决定因素

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Background The recent spread of West Nile Virus in temperate countries has raised concern. Predicting the likelihood of transmission is crucial to ascertain the threat to Public and Veterinary Health. However, accurate models of West Nile Virus (WNV) expansion in Europe may be hampered by limited understanding of the population dynamics of their primary mosquito vectors and their response to environmental changes. Methods We used data collected in north-eastern Italy (2009–2011) to analyze the determinants of the population growth rate of the primary WNV vector Culex pipiens. A series of alternative growth models were fitted to longitudinal data on mosquito abundance to evaluate the strength of evidence for regulation by intrinsic density-dependent and/or extrinsic environmental factors. Model-averaging algorithms were then used to estimate the relative importance of intrinsic and extrinsic variables in describing the variations of per-capita growth rates. Results Results indicate a much greater contribution of density-dependence in regulating vector population growth rates than of any environmental factor on its own. Analysis of an average model of Cx. pipiens growth revealed that the most significant predictors of their population dynamics was the length of daylight, estimated population size and temperature conditions in the 15 day period prior to sampling. Other extrinsic variables (including measures of precipitation, number of rainy days, and humidity) had only a minor influence on Cx. pipiens growth rates. Conclusions These results indicate the need to incorporate density dependence in combination with key environmental factors for robust prediction of Cx. pipiens population expansion and WNV transmission risk. We hypothesize that detailed analysis of the determinants of mosquito vector growth rate as conducted here can help identify when and where an increase in vector population size and associated WNV transmission risk should be expected.
机译:背景技术在温带国家的西尼罗河病毒最近的传播提出了担忧。预测传输的可能性至关重要,以确定对公共和兽医健康的威胁。然而,通过有限了解其主要蚊子载体的人口动态及其对环境变化的反应,欧洲的西尼罗河病毒(WNV)扩展的准确模型可能会受到阻碍。方法采用意大利东北部(2009-2011)收集的数据分析原发性WNV矢量CULEX PIPIENS人口增长率的决定因素。一系列替代的增长模型适用于蚊子丰富的纵向数据,以评估由内在密度依赖性和/或外本环境因素进行调节的证据强度。然后使用模型平均算法来估计内在和外在变量在描述人均生长速率的变化时的相对重要性。结果结果表明,密度依赖性依赖于调节载体种群增长率而不是自行任何环境因素的贡献。 CX平均模型分析。 pipiens的成长表明,它们的人口动态最重要的预测因子是在抽样前15天的日光,估计人口大小和温度条件的长度。其他外在变量(包括降水量,雨天数,湿度的措施)只对CX进行了次要影响。 pipiens生长率。结论这些结果表明需要将密度依赖性结合与关键环境因素组合,以便鲁棒预测CX。 Pipiens人口扩张和WNV传输风险。我们假设如此进行的蚊子载体生长速率的决定因素的详细分析可以有助于识别何时何地,应该预期载体群体尺寸和相关的WNV传输风险的增加。

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