社会人口和环境因素对城市地区野生动物尸体提交的影响:加强公平和有代表性的野生动物健康监测的机会

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Facets Pub Date : 2023-01-01 DOI:10.1139/facets-2022-0137
J. Giacinti, S. J. Robinson, Shannon K. French, D. Pearl, C. Jardine
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引用次数: 0

摘要

野生动物健康监测在迅速扩大的城市地区非常重要,在这些地区,野生动物与人类生活密切相关,面临独特的健康风险。城市地区并不均匀,社会和环境因素可能会影响我们从这些环境中收到的监测数据的分布。加拿大野生动物健康合作社(CWHC)开展了一项国家野生动物监测方案,该方案接受提交的尸体用于诊断评估。我们的目的是在加拿大安大略省的两个城市评估与CWHC提交相关的社会人口和环境因素。提交的材料按两个地理比例尺绘制,并与人口普查和环境数据相联系。混合多变量泊松和负二项回归分析的结果表明,自然(例如,公园面积百分比)、人为环境(例如,动物园的存在)和社会变量(例如,低收入)与行政相关尺度的提交有关。跨尺度的共同关联可能代表强大的干预点,并为监测方法/消息传递提供信息。监测数据可能影响公共卫生政策、野生动物管理以及与野生动物共存的利益/风险相关的其他决策。这项研究突出了监测方法方面的差距,这些差距可能妨碍人们有平等机会参与野生动物健康监测,并使人们有平等机会从相关产出中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence of sociodemographic and environmental factors on wildlife carcass submissions in urban areas: Opportunities for increasing equitable and representative wildlife health surveillance
Wildlife health surveillance is important in rapidly expanding urban areas, where wildlife live in close association with humans and face unique health risks. Urban areas are not homogeneous, and social and environmental factors may affect the distribution of surveillance data we receive from these environments. The Canadian Wildlife Health Cooperative (CWHC) operates a national wildlife surveillance programme that receives carcass submissions for diagnostic evaluation. Our objective was to evaluate sociodemographic and environmental factors associated with CWHC submissions within two cities in Ontario, Canada. Submissions were mapped at two geographic scales and linked with census and environmental data. The results of mixed multivariable Poisson and negative binomial regression analyses suggest that natural (e.g., percent parkland) and anthropogenic environmental (e.g., presence of a zoo) and social variables (e.g., low income) are associated with submissions at both administratively relevant scales. Associations that are common across scales may represent robust intervention points and inform surveillance methodology/messaging. Surveillance data may influence public health policy, wildlife management, and other decision-making regarding the benefits/risks associated with coexistence with wildlife. This study highlights gaps in surveillance methodology that may prevent equal opportunity for participation in wildlife health surveillance and enable equal opportunity to benefit from the associated outputs.
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来源期刊
Facets
Facets MULTIDISCIPLINARY SCIENCES-
CiteScore
5.40
自引率
6.50%
发文量
48
审稿时长
28 weeks
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