Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour.
Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour.
复制标题
不同社会观点下疫苗接种行为的家畜传染病控制政策模型。
DOI：
10.1371/journal.pcbi.1010235
复制
发表时间：
2022-07
影响因子：
4.3
通讯作者：
中科院分区：
文献类型：
--
作者：
感染在牲畜中的传播不仅取决于病原体的特征和牲畜本身，还取决于农民的兽医健康行为以及这如何影响他们实施疾病控制措施。昂贵的控制措施可能使个人受益于他人提供的保护，尽管这对人口来说可能不是最佳选择。不考虑社会行为特性可能会在传染病模型中产生实质性的偏差。我们调查了异质性在疫苗反应中的作用，在整个人口的农民对牲畜之间的流行病爆发，引起的病原体的传播速度不同的空间景观的农场在英格兰的两个县（坎布里亚郡和德文郡）。在三种疫苗行为组（预防性，反应性，非疫苗接种）的不同组成下，我们从人群和个人水平的角度评估了与通知感染的场所的最佳阈值距离，该距离将触发反应性疫苗接种组的反应性疫苗接种。我们证明了反应性自愿疫苗接种反应的最佳规模的人口和个人的观点之间的分歧。一般来说，最大限度地减少人口层面的视角成本需要更广泛的干预措施，而优化平均个人的结果增加了更大规模疾病爆发的可能性。当疫苗接种的相对成本较低，大多数场所都进行了预防性疫苗接种时，与希望优化人群中每个人的结果的观点相比，采用优化个体结果的观点可以提供更广泛的反应性反应空间范围。在我们假设的流行病学背景下，研究结果确定牲畜疾病干预的接受性和成本组合，人们会期望强烈的分歧之间的干预的严格性，这是最好的从一个利益相关者的角度负责支持畜牧业相比，唯一的牲畜所有者。这种不和谐的预期和实现跨观点的共识，调查结果也可以告知那些管理兽医卫生政策的必要的减少干预成本和/或所需的程度，培养有益的社区对干预措施的态度。2019冠状病毒病大流行表明，人类行为在控制传染病传播方面至关重要。畜牧业也是如此，农民的行为对减少感染的传播、提高动物福利和减少经济损失至关重要。因此，牲畜所有者持续关注的问题是确保他们有足够的疾病管理程序。然而，个体农民认为控制自己牲畜感染的适当方法可能不是预防人口中每个农民牲畜感染的最佳方法。我们描述了一个数学模型，结合流行病学和行为因素，研究个人和人口水平的牲畜疾病控制之间的紧张关系。应用于代表性的畜牧系统在英格兰的两个县（坎布里亚郡和德文郡），并分裂成三种类型的疫苗接种行为组（预防，反动，非疫苗接种）的农民，我们表明，个别农民认为是一种有效的方式来减少感染是不一样的，将有利于每个农民。保护每个农民的牲畜的首选反应是鼓励更广泛地接受反应性疫苗接种，而优化平均个体的反应性疫苗接种的空间范围会增加更大规模疾病爆发的机会。
The spread of infection amongst livestock depends not only on the traits of the pathogen and the livestock themselves, but also on the veterinary health behaviours of farmers and how this impacts their implementation of disease control measures. Controls that are costly may make it beneficial for individuals to rely on the protection offered by others, though that may be sub-optimal for the population. Failing to account for socio-behavioural properties may produce a substantial layer of bias in infectious disease models. We investigated the role of heterogeneity in vaccine response across a population of farmers on epidemic outbreaks amongst livestock, caused by pathogens with differential speed of spread over spatial landscapes of farms for two counties in England (Cumbria and Devon). Under different compositions of three vaccine behaviour groups (precautionary, reactionary, non-vaccination), we evaluated from population- and individual-level perspectives the optimum threshold distance to premises with notified infection that would trigger responsive vaccination by the reactionary vaccination group. We demonstrate a divergence between population and individual perspectives in the optimal scale of reactive voluntary vaccination response. In general, minimising the population-level perspective cost requires a broader reactive uptake of the intervention, whilst optimising the outcome for the average individual increased the likelihood of larger scale disease outbreaks. When the relative cost of vaccination was low and the majority of premises had undergone precautionary vaccination, then adopting a perspective that optimised the outcome for an individual gave a broader spatial extent of reactive response compared to a perspective wanting to optimise outcomes for everyone in the population. Under our assumed epidemiological context, the findings identify livestock disease intervention receptiveness and cost combinations where one would expect strong disagreement between the intervention stringency that is best from the perspective of a stakeholder responsible for supporting the livestock industry compared to a sole livestock owner. Were such discord anticipated and achieving a consensus view across perspectives desired, the findings may also inform those managing veterinary health policy the requisite reduction in intervention cost and/or the required extent of nurturing beneficial community attitudes towards interventions. The COVID-19 pandemic has shown how crucial human behaviour is in controlling the spread of an infectious disease. The same is true of livestock, where farmer behaviour is critical to reduce the spread of an infection to enhance animal welfare and reduce economic losses. An ongoing concern for livestock owners is therefore ensuring they have adequate disease management procedures. However, what an individual farmer considers an appropriate way to control an infection in their own livestock may not be the best way to prevent an infection for every farmer’s livestock in the population. We describe a mathematical model combining epidemiological and behavioural elements to study the tension between individual and population-level control of livestock diseases. Applied to representative livestock systems in two counties in England (Cumbria and Devon), and splitting farmers into three types of vaccine behaviour groups (precautionary, reactionary, non-vaccination), we show what individual farmers see as an effective way to reduce infection is not the same as would benefit every farmer. The preferred response to protect every farmer’s livestock is to encourage wider uptake of reactive vaccination, whereas optimising the spatial extent of reactive vaccination for the average individual increases the chance of larger disease outbreaks.
登录
查看更多内容
影响因子：
3.8
作者：
Probert WJ;Shea K;Fonnesbeck CJ;Runge MC;Carpenter TE;Dürr S;Garner MG;Harvey N;Stevenson MA;Webb CT;Werkman M;Tildesley MJ;Ferrari MJ
通讯作者：
Ferrari MJ
DOI：
10.1186/1748-5908-6-42
发表时间：
2011-04-23
期刊：
Implementation science : IS
影响因子：
--
作者：
Michie S;van Stralen MM;West R
通讯作者：
West R
影响因子：
3.9
作者：
Jewell, C. P.;Keeling, M. J.;Roberts, G. O.
通讯作者：
Roberts, G. O.
影响因子：
4.3
作者：
Moya, Sebastian;Tirado, Francisco;Allepuz, Alberto
通讯作者：
Allepuz, Alberto
影响因子：
5.5
作者：
Orsel, K.;de Jong, M. C. M.;Dekker, A.
通讯作者：
Dekker, A.