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牛感染日本脑炎病毒所涉及的气象因素。

Meteorological factors involved in Japanese encephalitis virus infection in cattle.

作者信息

Sakai T, Takahashi K, Hisasue S, Horimoto M, Takizawa T

机构信息

Department of Veterinary Preventive Medicine, College of Agriculture & Veterinary Medicine, Nihon University, Fujisawa, Japan.

出版信息

Nihon Juigaku Zasshi. 1990 Feb;52(1):121-7. doi: 10.1292/jvms1939.52.121.

Abstract

From 1982 to 1987 a total of 4,371 dairy cattle in Saitama Prefecture, were examined for levels of hemagglutination inhibition (HI) antibody to Japanese encephalitis virus (JEV) and the correlation with meteorological factors and an antibody positive rate was studied. Positivity rates of HI antibody from July to October each year (Yi) ranged from 58.8 to 88.0% with a considerable annual variation. Simple regression analysis of Yi with the comparative meteorological value (Xi) was determined from mean temperatures (Ti, j-1), rainfalls (Ri, j-1) for 10-day-periods each, and the number of days showing 25 degrees C or above (ti, j-1) from June to September, which yielded a correlation coefficient of 0.8147 (p less than 0.05) and an equation for estimated HI antibody positivity rate: Yi = -0.04Xi+79.9 (p less than 0.05). Multiple regression analysis with the power values of three meteorological parameters as independent variables and Yi as the dependent variable, showed a multiple correlation coefficient of 0.987 (p less than 0.05) and a multiple regression equation: Yi = -3991T1/13-0.0035R-12+1978t1/9+4187 (p less than 0.05), giving estimated positivity rates almost equal to the values from the observations. Therefore, a predictive equation was formulated reflecting positive and negative correlations of sero-positivity with the temperature and the precipitation, respectively.

摘要

1982年至1987年期间,对埼玉县的4371头奶牛进行了日本脑炎病毒血凝抑制(HI)抗体水平检测,并研究了其与气象因素的相关性以及抗体阳性率。每年7月至10月HI抗体的阳性率(Yi)在58.8%至88.0%之间,年际变化较大。通过对6月至9月期间的平均温度(Ti, j-1)、每10天的降雨量(Ri, j-1)以及25摄氏度及以上天数(ti, j-1)等比较气象值(Xi)与Yi进行简单回归分析,得出相关系数为0.8147(p<0.05)以及HI抗体阳性率估计方程:Yi = -0.04Xi + 79.9(p<0.05)。以三个气象参数的幂值为自变量、Yi为因变量进行多元回归分析,得出复相关系数为0.987(p<0.05)以及多元回归方程:Yi = -3991T1/13 - 0.0035R - 12 + 1978t1/9 + 4187(p<0.05),估计阳性率几乎与观测值相等。因此,制定了一个预测方程,分别反映血清阳性与温度和降水的正负相关关系。

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