Kahariri Samuel, Thomas Lian F, Bett Bernard, Mureithi Marianne, Njuguna Brian, Mutono Nyamai, Mwangi Thumbi
Directorate of Livestock Policy, Research and Regulations, Nairobi, Kenya.
International Livestock Research Institute, Nairobi, Kenya.
Front Public Health. 2025 Jun 16;13:1594162. doi: 10.3389/fpubh.2025.1594162. eCollection 2025.
Rabies poses a significant public health and economic challenge in Kenya. The Kenya rabies elimination strategy identifies surveillance as a key pillar to achieve the targets of ending human deaths from rabies by 2030. Here we investigated the utility of the national human and animal rabies surveillance data to provide robust surveillance data to guide the Kenya rabies elimination program.
We conducted a retrospective analysis of the official rabies data obtained from the national human and animal health surveillance systems between 2017 and 2023. We obtained data on bites, cases, and deaths in dogs and humans due to rabies. We estimated incidences and tested the relationships between rabies variables in human and dogs as a proxy for robust data availability.
On average, there were 162 cases and 84 deaths in dogs, while in humans, there were 53 cases and 6 deaths. We found positive correlations between dog bites and cases of dog rabies [RR = 1.33, 95% credible interval (CI): 1.16, 1.54], deaths and rabies cases in dogs (RR = 1.09, 95% CI: 1.05, 1.14) and death cases and dog bites (RR = 1.46, 95% CI: 1.06, 1.98). However, relationships between rabies cases and dog bites in humans were not statistically significant (RR = 1.00, 95% CI: 0.98, 1.03), whereas rabies cases in dogs and humans were negatively correlated (RR = 0.82, 95% CI: 0.68, 0.94).
The findings indicate that Kenya's rabies surveillance system effectively captures trends in dog rabies but has gaps in human rabies case reporting. The weak relationship between rabies cases and dog bites in humans and the negative correlation between rabies cases in dogs and humans point to potential underreporting of human cases, that could be possibly driven by misdiagnosis or limited access to healthcare, or effective post-exposure treatment.
Understanding these relationships is critical for improving the surveillance systems that can effectively support the rabies elimination program.
狂犬病给肯尼亚带来了重大的公共卫生和经济挑战。肯尼亚狂犬病消除战略将监测确定为实现到2030年消除人类狂犬病死亡目标的关键支柱。在此,我们调查了国家人类和动物狂犬病监测数据在提供有力监测数据以指导肯尼亚狂犬病消除计划方面的效用。
我们对2017年至2023年期间从国家人类和动物健康监测系统获得的官方狂犬病数据进行了回顾性分析。我们获取了狗和人类因狂犬病导致的咬伤、病例和死亡数据。我们估计了发病率,并测试了人类和狗的狂犬病变量之间的关系,以此作为有力数据可用性的代表。
狗平均有162例病例和84例死亡,而人类有53例病例和6例死亡。我们发现狗咬伤与狗狂犬病病例之间存在正相关[相对风险(RR)=1.33,95%可信区间(CI):1.16,1.54],狗的死亡与狂犬病病例之间存在正相关(RR=1.09,95%CI:1.05,1.14),死亡病例与狗咬伤之间存在正相关(RR=1.46,95%CI:1.06,1.98)。然而,人类狂犬病病例与狗咬伤之间的关系无统计学意义(RR=1.00,95%CI:0.98,1.03),而狗和人类的狂犬病病例呈负相关(RR=0.82,95%CI:0.68,0.94)。
研究结果表明,肯尼亚的狂犬病监测系统有效地捕捉了狗狂犬病的趋势,但在人类狂犬病病例报告方面存在差距。人类狂犬病病例与狗咬伤之间的弱关系以及狗和人类狂犬病病例之间的负相关表明,人类病例可能存在报告不足的情况,这可能是由误诊、获得医疗保健的机会有限或有效的暴露后治疗导致的。
了解这些关系对于改进能够有效支持狂犬病消除计划的监测系统至关重要。