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与马里兰州、宾夕法尼亚州和弗吉尼亚州的浣熊狂犬病流行相关的环境和人类人口统计学特征。

Environmental and human demographic features associated with epizootic raccoon rabies in Maryland, Pennsylvania, and Virginia.

作者信息

Jones Meghan E, Curns Aaron T, Krebs John W, Childs James E

机构信息

Community Health Assessment and Service Evaluation Unit, Northeast Health District, Athens, Georgia 30605, USA.

出版信息

J Wildl Dis. 2003 Oct;39(4):869-74. doi: 10.7589/0090-3558-39.4.869.

Abstract

We assessed land use and demographic data as predictors discriminating between counties experiencing large or small first epizootics of rabies among raccoons (Procyon lotor). Monthly county reports of raccoons testing positive for rabies were obtained from rabies surveillance databases from Maryland, Pennsylvania, and Virginia (USA). Environmental and demographic data for the three states were obtained from public sources. On the basis of total reports of raccoon rabies during the first defined epizootic period, the 203 counties were dichotomized at the 75th percentile as having a large epizootic (> or = 24 rabid raccoons in the first epizootic) (51 counties) or a small epizootic or no epizootic (152 counties). A high percentage of agricultural land use [OR = 9.1, 95% CI (3.6-23.1)], high water coverage in combination with low human population density [OR = 8.8, 95% CI (2.9-27.0)], and low water coverage with high human population density [OR = 11.7, 95% CI (4.0-34.1)] were positively associated with large rabies epizootics. Counties with more than 15% of mixed forest were less likely to experience large epizootics than were counties with < or = 15% of mixed forest [OR = 0.3, 95% CI (0.1, 0.9)]. A combination of land use and human population density measures provided the best model for determining epizootic size and may be important predictors of epizootic behavior and risk of exposure to this reservoir species.

摘要

我们评估了土地利用和人口数据,将其作为区分浣熊(北美浣熊)首次出现大规模或小规模狂犬病流行的县的预测指标。从美国马里兰州、宾夕法尼亚州和弗吉尼亚州的狂犬病监测数据库中获取了每月各县浣熊狂犬病检测呈阳性的报告。这三个州的环境和人口数据均来自公共资源。根据首个确定的流行期内浣熊狂犬病的总报告数,将203个县按第75百分位数分为两类:一类是大规模流行(首个流行期内有≥24只狂犬病浣熊)(51个县),另一类是小规模流行或无流行(152个县)。农业用地比例高[比值比(OR)=9.1,95%置信区间(CI)(3.6 - 23.1)]、高水域覆盖率与低人口密度相结合[OR = 8.8,95% CI(2.9 - 27.0)]以及低水域覆盖率与高人口密度相结合[OR = 11.7,95% CI(4.0 - 34.1)]与大规模狂犬病流行呈正相关。混合森林面积超过15%的县比混合森林面积≤15%的县发生大规模流行的可能性更小[OR = 0.3,95% CI(0.1,0.9)]。土地利用和人口密度测量指标的组合为确定流行规模提供了最佳模型,可能是流行行为和接触这种宿主物种风险的重要预测指标。

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