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公司关联和社会联系对禽流感农场间传播风险估计的贡献。

Contribution of company affiliation and social contacts to risk estimates of between-farm transmission of avian influenza.

机构信息

Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

出版信息

PLoS One. 2010 Mar 25;5(3):e9888. doi: 10.1371/journal.pone.0009888.

Abstract

BACKGROUND

Models of between-farm transmission of pathogens have identified service vehicles and social groups as risk factors mediating the spread of infection. Because of high levels of economic organization in much of the poultry industry, we examined the importance of company affiliation, as distinct from social contacts, in a model of the potential spread of avian influenza among broiler poultry farms in a poultry-dense region in the United States. The contribution of company affiliation to risk of between-farm disease transmission has not been previously studied.

METHODOLOGY/PRINCIPAL FINDINGS: We obtained data on the nature and frequency of business and social contacts through a national survey of broiler poultry growers in the United States. Daily rates of contact were estimated using Monte Carlo analysis. Stochastic modeling techniques were used to estimate the exposure risk posed by a single infectious farm to other farms in the region and relative risk of exposure for farms under different scenarios. The mean daily rate of vehicular contact was 0.82 vehicles/day. The magnitude of exposure risk ranged from <1% to 25% under varying parameters. Risk of between-farm transmission was largely driven by company affiliation, with farms in the same company group as the index farm facing as much as a 5-fold increase in risk compared to farms contracted with different companies. Employment of part-time workers contributed to significant increases in risk in most scenarios, notably for farms who hired day-laborers. Social visits were significantly less important in determining risk.

CONCLUSIONS/SIGNIFICANCE: Biosecurity interventions should be based on information on industry structure and company affiliation, and include part-time workers as potentially unrecognized sources of viral transmission. Modeling efforts to understand pathogen transmission in the context of industrial food animal production should consider company affiliation in addition to geospatial factors and pathogen characteristics. Restriction of social contacts among farmers may be less useful in reducing between-farm transmission.

摘要

背景

农场间病原体传播模型已确定服务车辆和社会团体是介导感染传播的风险因素。由于家禽业的大部分地区都具有较高的经济组织水平,我们在美国一个家禽密集地区的肉鸡养殖场中,检验了公司隶属关系(与社会关系不同)在禽流感潜在传播模型中的重要性。此前,尚未研究公司隶属关系对农场间疾病传播风险的影响。

方法/主要发现:我们通过对美国肉鸡养殖户的全国性调查,获取了有关业务和社会联系性质和频率的数据。使用蒙特卡罗分析来估计每日接触率。使用随机建模技术来估计单个感染农场对该地区其他农场的暴露风险以及在不同情况下农场的暴露风险相对风险。车辆接触的平均每日速率为 0.82 辆车/天。在不同参数下,暴露风险的幅度从<1%到 25%不等。农场间传播的风险主要由公司隶属关系驱动,与指数农场同属一个公司群体的农场面临的风险比与不同公司签约的农场高 5 倍。在大多数情况下,兼职工人的雇佣导致风险显著增加,特别是对于雇用临时工的农场。社会访问在确定风险方面的重要性较小。

结论/意义:生物安全干预措施应基于行业结构和公司隶属关系的信息,并将兼职工人视为潜在的病毒传播未被识别的来源。为了在工业食品动物生产背景下理解病原体传播,建模工作应除了考虑地理空间因素和病原体特征外,还应考虑公司隶属关系。限制农民之间的社会接触可能对减少农场间传播的效果不大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4230/2845626/7f39227af746/pone.0009888.g001.jpg

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