R. F. Duarte, Ricardo Osés Rodríguez, David del Valle Laveaga, María Patricia Zambrano Gavilanes, P. Rodriguez, Yanira Zaita Ferrer, F. González, I. Hurtado
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引用次数: 0
Abstract
The objective of the research was to determine the climatic impact of temperature on avian respiratory infections in Villa Clara province, Cuba. In this work retrospective data were used to obtain the epizootiological statistical information of susceptible and dead birds regarding avian respiratory infections, in specialized poultry farms of Villa Clara province, during the period 2005-2007. These data were correlated with the temperatures stockings average corresponding to this period in this county. The total of deaths was correlated with the total of susceptible; these last ones correlated in turn with the provincial temperatures stockings. For the information processing, the model Autoregressive Integrated Moving Averages (ARIMA) was used of Box-Jenkins Methodology through the statistical package SPSS Version 13. Techniques of multivariate regression for modeling the total of poultry deaths were also applied. The final ARIMA model expressed that an increase of 1 degree of temperature, which meant an increase of 53.37 deaths. It was also used a 95% of probability value. This work allows corroborating and quantifying the impact of mean temperature in the susceptible and in the poultry deaths in the study area of Villa Clara province, Cuba. It was obtained that with 1oC of monthly half temperature, it can be expected an increase of 8 894 susceptible cases and as the susceptible ones’ increase in 1000 the deaths, are increased in 6 birds, for what the susceptible ones for 0.06 will be the same approximately to the total of deaths.
研究的目的是确定温度对古巴维拉克拉拉省禽类呼吸道感染的气候影响。本研究采用回顾性资料,对2005-2007年比利亚克拉拉省专业家禽养殖场禽类呼吸道感染的易感和死禽进行了流行病学统计。这些数据与该县同期的平均气温相关联。死亡总人数与易感人群总人数相关;这些最后的数据依次与各省的气温长袜相关。信息处理采用Box-Jenkins方法,通过SPSS Version 13统计软件包,采用自回归综合移动平均(ARIMA)模型。还应用了多变量回归技术对家禽死亡总数进行建模。最终的ARIMA模型表明,温度每升高1度,就意味着死亡人数增加53.37人。也使用了95%的概率值。这项工作可以证实和量化平均温度对古巴维拉克拉拉省研究地区易感人群和家禽死亡的影响。结果表明,当月平均气温为1℃时,预计易感病例增加8 894例,每增加1000例死亡,易感病例增加6例,0.06℃的易感病例与死亡总数大致相同。