Analysis of antibiotic use and access to drugs among poultry farmers in Kenya

IF 4.5 2区 医学 Q1 INFECTIOUS DISEASES One Health Pub Date : 2025-06-01 Epub Date: 2025-02-07 DOI:10.1016/j.onehlt.2025.100987
Dishon M. Muloi , Mitchelle R. Kasudi , Maurice K. Murungi , Eugine Lusanji Ibayi , Samuel Kahariri , Charity Karimi , Max Korir , Bridgit Muasa , Damaris Mwololo , Romona Ndanyi , Robert Ndungi , Jane Njiru , Ruth Omani , Rose Owada , Sylvia Omulo , Allan Azegele , Eric M. Fèvre
{"title":"Analysis of antibiotic use and access to drugs among poultry farmers in Kenya","authors":"Dishon M. Muloi ,&nbsp;Mitchelle R. Kasudi ,&nbsp;Maurice K. Murungi ,&nbsp;Eugine Lusanji Ibayi ,&nbsp;Samuel Kahariri ,&nbsp;Charity Karimi ,&nbsp;Max Korir ,&nbsp;Bridgit Muasa ,&nbsp;Damaris Mwololo ,&nbsp;Romona Ndanyi ,&nbsp;Robert Ndungi ,&nbsp;Jane Njiru ,&nbsp;Ruth Omani ,&nbsp;Rose Owada ,&nbsp;Sylvia Omulo ,&nbsp;Allan Azegele ,&nbsp;Eric M. Fèvre","doi":"10.1016/j.onehlt.2025.100987","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding access to and use of antibiotics in livestock production systems is critical for guiding antimicrobial stewardship programmes and animal health services. We analysed antibiotic use practices among smallholder-intensive poultry farms in Kenya and characterised access to veterinary supply chains by calculating travel time to drug stores.</div><div>Data were collected from 766 poultry farms across 15 Kenyan counties, representing all production types, between May 2021 and February 2022. We also collected antibiotic sales and geolocation data from 321 veterinary drug stores in Nakuru and Kilifi counties, representing areas with high and low-intensity poultry production, respectively. Using a machine learning framework, we predicted farm-level antibiotic use based on collected demographic and production traits. We also built geospatial models to characterise farmer travel time to drug stores with motorised transport.</div><div>Half of farms used antibiotics at least once in the last two months, mostly for self-administered therapeutic reasons. Random forest analysis predicted that farms using disinfectants in cleaning, keeping other poultry species, with rodents in the chicken house and vaccinating their birds had the highest likelihood of antibiotic use. 95.4 % of farmers lived within one hour of a veterinary drug store, with 40 % residing within 15 min.</div><div>Antibiotic use is integrated in smallholder poultry production, emphasising the need for prioritizing biosecurity, regulatory and socio-behavioural interventions, and economic incentives to enhance stewardship. Spatial maps suggests both risks and opportunities for antibiotic access and veterinary care.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"20 ","pages":"Article 100987"},"PeriodicalIF":4.5000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"One Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352771425000230","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Understanding access to and use of antibiotics in livestock production systems is critical for guiding antimicrobial stewardship programmes and animal health services. We analysed antibiotic use practices among smallholder-intensive poultry farms in Kenya and characterised access to veterinary supply chains by calculating travel time to drug stores.
Data were collected from 766 poultry farms across 15 Kenyan counties, representing all production types, between May 2021 and February 2022. We also collected antibiotic sales and geolocation data from 321 veterinary drug stores in Nakuru and Kilifi counties, representing areas with high and low-intensity poultry production, respectively. Using a machine learning framework, we predicted farm-level antibiotic use based on collected demographic and production traits. We also built geospatial models to characterise farmer travel time to drug stores with motorised transport.
Half of farms used antibiotics at least once in the last two months, mostly for self-administered therapeutic reasons. Random forest analysis predicted that farms using disinfectants in cleaning, keeping other poultry species, with rodents in the chicken house and vaccinating their birds had the highest likelihood of antibiotic use. 95.4 % of farmers lived within one hour of a veterinary drug store, with 40 % residing within 15 min.
Antibiotic use is integrated in smallholder poultry production, emphasising the need for prioritizing biosecurity, regulatory and socio-behavioural interventions, and economic incentives to enhance stewardship. Spatial maps suggests both risks and opportunities for antibiotic access and veterinary care.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
肯尼亚家禽养殖户抗生素使用和药物获取情况分析
了解畜牧业生产系统中抗生素的获取和使用情况对于指导抗菌素管理规划和动物卫生服务至关重要。我们分析了肯尼亚小农集约型家禽养殖场的抗生素使用情况,并通过计算到药店的旅行时间来描述兽医供应链的获取情况。在2021年5月至2022年2月期间,从肯尼亚15个县的766个家禽养殖场收集了数据,代表了所有生产类型。我们还收集了纳库鲁县和基利菲县321家兽药商店的抗生素销售和地理位置数据,这两个县分别代表了高强度和低强度家禽生产地区。使用机器学习框架,我们根据收集的人口统计和生产特征预测了农场层面的抗生素使用情况。我们还建立了地理空间模型,以表征农民使用机动交通工具前往药店的时间。一半的农场在过去两个月里至少使用过一次抗生素,主要是出于自我治疗的原因。随机森林分析预测,使用消毒剂进行清洁、饲养其他家禽物种、鸡舍中有啮齿动物以及为家禽接种疫苗的农场使用抗生素的可能性最高。95.4%的农民居住在兽药商店一小时内,40%的农民居住在15分钟内。抗生素的使用已纳入小农家禽生产,强调需要优先考虑生物安全、监管和社会行为干预措施,以及加强管理的经济激励措施。空间地图显示了获得抗生素和兽医护理的风险和机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
One Health
One Health Medicine-Infectious Diseases
CiteScore
8.10
自引率
4.00%
发文量
95
审稿时长
18 weeks
期刊介绍: One Health - a Gold Open Access journal. The mission of One Health is to provide a platform for rapid communication of high quality scientific knowledge on inter- and intra-species pathogen transmission, bringing together leading experts in virology, bacteriology, parasitology, mycology, vectors and vector-borne diseases, tropical health, veterinary sciences, pathology, immunology, food safety, mathematical modelling, epidemiology, public health research and emergency preparedness. As a Gold Open Access journal, a fee is payable on acceptance of the paper. Please see the Guide for Authors for more information. Submissions to the following categories are welcome: Virology, Bacteriology, Parasitology, Mycology, Vectors and vector-borne diseases, Co-infections and co-morbidities, Disease spatial surveillance, Modelling, Tropical Health, Discovery, Ecosystem Health, Public Health.
期刊最新文献
Strategies for Aedes mosquito control: A review of national guidelines from selected countries in Asia and Oceania High burden and spatial clustering of canine hemoparasitic infections in southern Thailand: A molecular survey of free-roaming dogs Climate change and the rising threat of vector-borne diseases in the Andes Chagas disease in Florida: An emerging one health challenge in the United States Characterization of antibiotic-resistant bacteria and phylogenetic analysis of E. coli strains isolated from healthy broilers in Rawalpindi, Pakistan
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1