Linking human health and livestock health: a "one-health" platform for integrated analysis of human health, livestock health, and economic welfare in livestock dependent communities.
Linking human health and livestock health: a "one-health" platform for integrated analysis of human health, livestock health, and economic welfare in livestock dependent communities.
复制标题
DOI：
10.1371/journal.pone.0120761
复制
发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
McElwain TF
中科院分区：
文献类型：
--
作者：
Thumbi SM;Njenga MK;Marsh TL;Noh S;Otiang E;Munyua P;Ochieng L;Ogola E;Yoder J;Audi A;Montgomery JM;Bigogo G;Breiman RF;Palmer GH;McElwain TF
对于撒哈拉以南非洲的大多数农村家庭来说，健康的牲畜在避免与人畜共患病有关的负担以及满足家庭营养和社会经济需求方面发挥着关键作用。然而，人们对将牲畜健康与人类健康和福利联系起来的复杂的营养、社会经济和人畜共患病途径的理解有限。在这里，我们描述了一个平台，用于综合人类健康，动物健康和经济福利分析，旨在应对这一挑战。我们提供了人类及其饲养的动物疾病综合征的基线流行病学数据，并提供了人类健康，动物健康和家庭社会经济地位之间关系的例子。我们设计了一项研究，以获得综合征疾病的动物沿着的经济和行为信息的1500个农村家庭在肯尼亚西部已经参与了人类综合征疾病监测研究的数据。2013年2月开始收集数据，每两周访问一次每户，收集关于四种人类综合症（发热、黄疸、腹泻和呼吸道疾病）和九种动物综合症（牛、绵羊、山羊和鸡的死亡、呼吸、生殖、肌肉骨骼、神经、泌尿生殖、消化、乳房疾病和皮肤疾病）的数据。此外，每3个月在每个研究家庭中收集一次全面社会经济调查的数据。研究第一年的数据显示，93%的家庭拥有至少一种牲畜（分别有55%、19%、41%和88%的家庭拥有牛、绵羊、山羊和鸡）。消化系统疾病，主要是腹泻发作，是在牛、山羊和绵羊中观察到的最常见的综合征，占所有牲畜综合征的56%，其次是呼吸系统疾病（18%）。在人类中，呼吸道疾病占所有报告疾病的54%，其次是急性发热性疾病（40%）和腹泻疾病（5%）。在控制家庭规模的同时，每观察到10例动物疾病或死亡，人类疾病的发病率增加1.31倍（95% CI 1.16-1.49）。获得和利用动物源性食品，如牛奶和鸡蛋与家庭拥有的牛和鸡的数量呈正相关。此外，寻求医疗保健与家庭收入和财富相关，而家庭收入和财富又与牲畜群规模相关。该研究平台提供了一个独特的纵向数据集，可以确定和量化人类和动物健康之间的联系，包括健康动物对人类疾病避免，营养不良，家庭教育程度和收入水平的影响。
For most rural households in sub-Saharan Africa, healthy livestock play a key role in averting the burden associated with zoonotic diseases, and in meeting household nutritional and socio-economic needs. However, there is limited understanding of the complex nutritional, socio-economic, and zoonotic pathways that link livestock health to human health and welfare. Here we describe a platform for integrated human health, animal health and economic welfare analysis designed to address this challenge. We provide baseline epidemiological data on disease syndromes in humans and the animals they keep, and provide examples of relationships between human health, animal health and household socio-economic status. We designed a study to obtain syndromic disease data in animals along with economic and behavioral information for 1500 rural households in Western Kenya already participating in a human syndromic disease surveillance study. Data collection started in February 2013, and each household is visited bi-weekly and data on four human syndromes (fever, jaundice, diarrhea and respiratory illness) and nine animal syndromes (death, respiratory, reproductive, musculoskeletal, nervous, urogenital, digestive, udder disorders, and skin disorders in cattle, sheep, goats and chickens) are collected. Additionally, data from a comprehensive socio-economic survey is collected every 3 months in each of the study households. Data from the first year of study showed 93% of the households owned at least one form of livestock (55%, 19%, 41% and 88% own cattle, sheep, goats and chickens respectively). Digestive disorders, mainly diarrhea episodes, were the most common syndromes observed in cattle, goats and sheep, accounting for 56% of all livestock syndromes, followed by respiratory illnesses (18%). In humans, respiratory illnesses accounted for 54% of all illnesses reported, followed by acute febrile illnesses (40%) and diarrhea illnesses (5%). While controlling for household size, the incidence of human illness increased 1.31-fold for every 10 cases of animal illness or death observed (95% CI 1.16–1.49). Access and utilization of animal source foods such as milk and eggs were positively associated with the number of cattle and chickens owned by the household. Additionally, health care seeking was correlated with household incomes and wealth, which were in turn correlated with livestock herd size. This study platform provides a unique longitudinal dataset that allows for the determination and quantification of linkages between human and animal health, including the impact of healthy animals on human disease averted, malnutrition, household educational attainment, and income levels.
登录
查看更多内容
影响因子：
168.9
作者：
Kotloff, Karen L.;Nataro, James P.;Levine, Myron M.
通讯作者：
Levine, Myron M.
DOI：
10.4269/ajtmh.2005.73.1151
发表时间：
2005-12-01
影响因子：
3.3
作者：
Adazu, K;Lindblade, KA;Slutsker, L
通讯作者：
Slutsker, L
影响因子：
3.8
作者：
Mableson HE;Okello A;Picozzi K;Welburn SC
通讯作者：
Welburn SC
影响因子：
2.7
作者：
Grace, Delia
通讯作者：
Grace, Delia
DOI：
10.1016/s0301-6226(99)00019-6
发表时间：
1999-06-01
期刊：
LIVESTOCK PRODUCTION SCIENCE
影响因子：
--
作者：
Bradford, GE
通讯作者：
Bradford, GE