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低资源环境下鸡病的流行数据。

Prevalence data on chicken diseases in low-resource settings.

出版信息

Rev Sci Tech. 2024 Aug;43:39-47. doi: 10.20506/rst.43.3516.

DOI:10.20506/rst.43.3516
PMID:39222113
Abstract

The presence of transmissible disease in livestock has a major impact on welfare and economics in animal and public health. A lack of data enables the spread of diseases due to misinformed decision-making on prevention and control. Low-resource settings face challenges in providing data, turning data availability into a development issue. For this study, a large dataset (n = 997) was collected on prevalence and seroprevalence estimates on viral (n = 224), bacterial (n = 83) and parasitic (n = 690) diseases in backyard chickens in low- and middle-income countries (LMICs). These estimates originate from 306 studies identified during the screening phase of a systematic literature review. An attempt was made to classify the studies according to the Food and Agriculture Organization of the United Nations'classification system for family poultry production systems. Of the studies, 98.7% (302/306) focused on a single poultry production system, while 1.3% (4/306) targeted two different production systems. Within the group of studies that covered one production system, 85.4% (258/302) were classified as ‘small extensive scavenging or extensive scavenging,'‘small extensive scavenging'and/or ‘extensive scavenging'. In addition, 52% (159/306) of the studies did not report information on chicken breed type. No data were found on any relevant disease for 56.9% (78/137) of LMICs, signifying a potential data gap. Of the estimates on viral and bacterial diseases, 71.0% (218/307) corresponded to diseases notifiable to the World Organisation for Animal Health, highlighting a tendency to measure disease occurrence for diseases relevant to trade. The latter might not necessarily be priority diseases for the producers, however. Furthermore, 72.3% (222/307) of the estimates originate from random samples and could be used to estimate prevalence in backyard chickens using imputation methods, thus bridging the data gap.

摘要

动物和公共卫生中的传染病会对牲畜的福利和经济产生重大影响。由于对预防和控制措施的决策失误,缺乏数据会导致疾病的传播。资源匮乏的地区在提供数据方面面临挑战,数据的可用性成为一个发展问题。在这项研究中,我们收集了关于低中等收入国家(LMICs)后院鸡中病毒(n=224)、细菌(n=83)和寄生虫(n=690)疾病的流行率和血清流行率估计的大量数据集(n=997)。这些估计值源自系统文献综述筛选阶段确定的 306 项研究。我们试图根据联合国粮食及农业组织(FAO)对家庭家禽生产系统的分类系统对这些研究进行分类。在这些研究中,98.7%(302/306)的研究集中在单一家禽生产系统上,而 1.3%(4/306)的研究针对两个不同的生产系统。在涵盖单一生产系统的研究组中,85.4%(258/302)被归类为“小型广泛觅食或广泛觅食”、“小型广泛觅食”和/或“广泛觅食”。此外,52%(159/306)的研究未报告有关鸡品种类型的信息。对于 56.9%(78/137)的 LMICs,没有发现任何关于任何相关疾病的数据,这表明存在潜在的数据差距。在病毒性和细菌性疾病的估计中,71.0%(218/307)与世界动物卫生组织通报的疾病相对应,这突出表明存在衡量与贸易相关的疾病发生的倾向。然而,这些疾病对于生产者来说可能并不一定是优先疾病。此外,307 项估计中有 72.3%(222/307)来自随机样本,可以使用插补方法来估计后院鸡中的流行率,从而填补数据空白。

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