Are we ready for the next anthrax outbreak? Lessons from a simulation exercise in a rural-based district in Uganda.

IF 2.5 4区 医学 Q3 INFECTIOUS DISEASES
Abel W Walekhwa, Lydia N Namakula, Brenda Nakazibwe, Richard Ssekitoleko, Lawrence Mugisha
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引用次数: 0

Abstract

Anthrax is a bacterial zoonotic disease caused by Bacillus anthracis. We qualitatively examined facilitators and barriers to responding to a potential anthrax outbreak using the capability, opportunity, motivation behaviour model (COM-B model) in the high-risk rural district of Namisindwa, in Eastern Uganda. We chose the COM-B model because it provides a systematic approach for selecting evidence-based techniques and approaches for promoting the behavioural prompt response to anthrax outbreaks. Unpacking these facilitators and barriers enables the leaders and community members to understand existing resources and gaps so that they can leverage them for future anthrax outbreaks.This was a qualitative cross-sectional study that was part of a bigger anthrax outbreak simulation study conducted in September 2023. We conducted 10 Key Informant interviews among key stakeholders. The interviews were audio recorded on Android-enabled phones and later transcribed verbatim. The transcripts were analyzed using a deductive thematic content approach through Nvivo 12.The facilitators were; knowledge of respondents about anthrax disease and anthrax outbreak response, experience and presence of surveillance guidelines, availability of resources, and presence of communication channels. The identified barriers were; porous boarders that facilitate unregulated animal trade across, lack of essential personal protective equipment, and lack of funds for surveillance and response activities.Generally, the district was partially ready for the next anthrax outbreak. The district was resourced in terms of human resources but lacked adequate funds for animal, environmental and human surveillance activities for anthrax and related response. The district technical staff had the knowledge required to respond to the anthrax outbreak but lacked adequate funds for animal, environmental and human surveillance for anthrax and related response. We think that our study findings are generalizable in similar settings and therefore call for the implementation of such periodic evaluations to help leverage the strong areas and improve other aspects. Anthrax is a growing threat in the region, and there should be proactive efforts in prevention, specifically, we recommend vaccination of livestock and further research for human vaccines.

我们准备好迎接下一次炭疽爆发了吗?来自乌干达农村地区模拟演习的经验教训。
炭疽是由炭疽芽孢杆菌引起的细菌性人畜共患疾病。我们在乌干达东部Namisindwa的高风险农村地区使用能力、机会、动机行为模型(COM-B模型)定性地检查了应对潜在炭疽疫情的促进因素和障碍。我们之所以选择COM-B模型,是因为它为选择以证据为基础的技术和方法提供了一种系统的方法,以促进对炭疽疫情的行为迅速反应。解开这些促进因素和障碍使领导人和社区成员能够了解现有资源和差距,以便他们能够利用这些资源应对未来的炭疽疫情。这是一项定性横断面研究,是2023年9月进行的一项更大的炭疽爆发模拟研究的一部分。我们在主要利益相关者中进行了10次关键线人访谈。这些采访是用安卓手机录下来的,后来逐字逐句地记录下来。通过Nvivo 12使用演绎主题内容方法对转录本进行分析。促进者是;应答者对炭疽疾病和炭疽疫情应对的了解、监测指南的经验和有无、资源的可得性以及有无沟通渠道。确定的障碍是;漏洞百出的边境便利了不受管制的跨境动物贸易,缺乏必要的个人防护装备,以及缺乏监测和应对活动的资金。总的来说,这个地区已经为下一次炭疽疫情的爆发做好了部分准备。该地区在人力资源方面有充足的资源,但缺乏足够的资金用于动物、环境和人的炭疽监测活动和有关应对工作。地区技术人员具备应对炭疽疫情所需的知识,但缺乏足够的资金用于动物、环境和人的炭疽监测及相关应对。我们认为,我们的研究结果在类似的情况下是可推广的,因此呼吁实施这种定期评估,以帮助利用优势领域和改进其他方面。炭疽病在该地区是一个日益严重的威胁,应采取积极主动的预防措施,具体而言,我们建议为牲畜接种疫苗,并进一步研究人类疫苗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epidemiology and Infection
Epidemiology and Infection 医学-传染病学
CiteScore
4.10
自引率
2.40%
发文量
366
审稿时长
3-6 weeks
期刊介绍: Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.
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