ORIGINAL RESEARCH article

Front. Public Health

Sec. Infectious Diseases: Epidemiology and Prevention

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1594162

This article is part of the Research TopicIntegrated Public Health Approaches for the Control of Neglected Tropical Diseases: Challenges and OpportunitiesView all articles

One health surveillance: linking human and animal rabies surveillance data in Kenya

Provisionally accepted
  • 1state department for livestock - Directorate of Policy, Research and Regulations, Nairobi, Kenya
  • 2International Livestock Research Institute (ILRI), Nairobi, Kenya
  • 3Center for Epidemiological Modelling and Analysis, Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
  • 4Department of Medical Microbiology & Immunology, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya
  • 5Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom
  • 6Paul G. Allen School for Global Health, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States
  • 7Feed the Future Innovation Lab for Animal Health, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States
  • 8Institute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburg, Scotland, United Kingdom

The final, formatted version of the article will be published soon.

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 to 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.

Keywords: Rabies, surveillance, One Health, Correlation, Bayesian, Zoonotic

Received: 15 Mar 2025; Accepted: 30 May 2025.

Copyright: © 2025 Kahariri, Thomas, Bett, Mureithi, Njuguna, Nyamai and Thumbi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Samuel Kahariri, state department for livestock - Directorate of Policy, Research and Regulations, Nairobi, Kenya

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