与试验和屠宰方案比较接种奥耶斯基病的效果:流行病学和经济学评价。

P Willeberg, L Leontides, C Ewald, S Mortensen, J P McInerney, K S Howe, D Kooij
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引用次数: 0

摘要

1990年1月,在德国北部与丹麦南部接壤的集约化养猪地区,启动了一项为期6年的计划,以消除猪群中的地方性奥耶斯基病病毒(ADV)感染。在该运动的前3年,对该地区所有猪实施了强化强制疫苗接种计划,使用糖蛋白I (gI)缺失疫苗。从1990年6月开始,在该项目的头3年,每季度从该地区所有畜群中随机选择大约200头畜群进行血清学检测。在每个母猪到饲料(FAFE)、饲料到肥育(FEFI)和母猪到肥育(FAFI)群中,分别取20头母种猪、20头肥育猪(≥50 kg活重)和10头母种猪和10头肥育猪的血液样本。血清采用Herd-Check Anti-PRV(S) ELISA检测(IDDEX Inc., ME)。用HerdCheck Anti-ADV gI-ELISA检测该试验阳性的血清(IDDEX Inc., ME)。通过一份初步测试的问卷收集了可能混淆管理因素的数据,由两名兽医对猪进行血液取样,并向农民发放了问卷。对于育肥猪群(FEFI和FAFI猪群的育肥部分),>或= 1 gI+肥育猪的几率与该地区计划启动和采样日期之间的时间(计划效果的替代)之间的关联使用普通逻辑回归进行建模。采用logistic-二项回归模型研究了血清阳性(>或= gI+) FAFE和FAFI牛群中gI+雌性的几率与项目启动时间之间的关系。研究结果表明,从强制接种开始到猪群抽样日期的时间越长,该地区猪群中gI+肥育猪群和gI+母种猪的几率越低。这种关系解释了大规模疫苗接种对减少ADV传播的有益作用。对于育肥牛群,这种关系呈曲线状,在项目的第一年,对数赔率的下降速度更快。这种非线性模式表明,为了消除该地区育肥猪群感染adva的风险,大规模疫苗接种规划应辅以其他措施,如检测和屠宰受感染的种猪。建立了一种计算机经济模型来估计adv感染在畜群和地区水平上的影响。分析结构包括与经济估计框架相联系的基本流行病学模型。经济模型预测允许优先考虑备选控制策略。在有地方感染猪群的地区,对所有猪进行大规模疫苗接种,然后对血清呈阳性的猪进行检测和剔除,是控制ADV在猪群中传播的最具成本效益的方法。其他可能的控制策略,如强化疫苗接种或完全检测和清除,都具有更高的总体成本,要么是因为生产效率较低,要么是因为直接检测和清除的成本较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of vaccination against Aujeszky's disease compared with test and slaughter programme: epidemiological and economical evaluations.

In January 1990, a 6-year program was initiated to eliminate endemic Aujeszky's Disease virus (ADV) infection from the pig herds in an area of Northern Germany, bordering Southern Denmark, with intensive pig farming. In the first 3 years of the campaign, an intensive compulsory vaccination program, with glycoprotein I (gI)-deleted vaccines, of all pigs in the area was employed. Beginning in June 1990 and for the first 3 years of the project, approximately 200 herds randomly selected from all herds in the area, were serologically tested each quarter. In each farrow-to-feeder (FAFE), feeder-to-finish (FEFI) and farrow-to-finish (FAFI) herd, 20 female breeding pigs, 20 finishing pigs (> or = 50 kgs liveweight) and 10 female breeding pigs and 10 finishing pigs, respectively, were blood sampled. The sera were tested by the Herd-Check Anti-PRV(S) ELISA test (IDDEX Inc., ME). Sera positive to this test were examined by the HerdCheck Anti-ADV gI-ELISA test (IDDEX Inc., ME). Data on potentially confounding management factors were collected through a pilot-tested questionnaire, administered to farmers by 2 veterinarians who blood sampled the pigs. For fattening herds (FEFI and fattening sections of FAFI herds), the association between the odds of > or = 1 gI+ finishing pigs and the time between initiation of the program in the area and sampling date (a surrogate for the effect of the program) was modelled using ordinary logistic regression. The association between the odds of gI+ females in seropositive (> or = gI+ females) FAFE and FAFI herds and time since initiation of the program was investigated with logistic-binomial regression models. Results of the study show that the longer the period from the beginning of compulsory vaccination to the date the herd was sampled the lower the odds of gI+ fattening herds and gI+ female breeding pigs in herds of the area. The beneficial effect of mass vaccination on the reduction of ADV spread was accounted for by this relationship. For fattening herds this relationship appeared curvilinear, with the reduction in the log-odds being more rapid in the 1st year of the program. This non-linear pattern indicates that for the elimination of the risk of ADV-infection from fattening herds of the area, the mass vaccination program should be complemented with additional measures such as test-and-slaughter of infected breeding pigs. A computerized economical model to estimate the effects of ADV-infection at the herd and area level has been developed. The analytical structure consists of a basic epidemiological model linked to an economic estimation framework. The economic model predictions allow priorities to be given to alternative control strategies. Mass vaccination of all pigs in regions with endemically infected herds followed by test-and-removal of seropositive animals is the most cost-effective way to control the spread of ADV within the swine population. Other possible control strategies such as intensive vaccination or complete test-and-removal all had higher overall costs, either because of the less efficient production, or because of the high costs of straight test-and-removal.

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