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Rift Valley fever (RVF) is a viral zoonosis, which is considered as a threat to food security in the Horn of Africa. In Kenya, RVF is the 5th ranked priority zoonotic disease due to its high morbidity and mortality, frequent outbreak events, and associated socioeconomic impacts during outbreak events. In 2018, an RVF outbreak was confirmed in Kenya's Siaya, Wajir, and Marsabit counties. During this outbreak, 30 people were confirmed infected with RVF through laboratory tests; 21 in Wajir, 8 in Marsabit, and 1 in Siaya Counties.Seventy-five (75) households (15 cases and 60 controls) were selected and interviewed using a case-control study design in 2021 (?). A case was a household with a member who was diagnosed with RVF in 2018. In addition, a total of 1029 animals were purposively selected within these households and serologically tested for RVF. The study aimed to estimate the contribution of various risk factors to RVF human occurrence in Kenya with a special focus on Wajir County. Wajir County was chosen due to high number of confirmed human cases reported in the 2018 outbreak. A univariable regression model revealed that owner-reported RVF virus exposure in livestock significantly increased the odds of an RVF human case in the household by 32.7 times (95 % CI 4.0–267.4). The respondent being linked to a goat flock that was IgG-positive increased the odds of an RVF human case by 3.8 times (95 % CI 1.17–12.3). In the final multivariable analysis, the respondent being linked to their own animals affected by RVF increased odds of having an RVF human case in the household by 56.9 times (95 % CI 4.6–700.4), while the respondent being linked to a neighbor household member affected decreased odds of having a RVF human case by 0.1 times (95 % CI 0.08–0.75).In summary, these results have revealed a potential link for the spread of RVF infection from animals to humans in pastoralist households, hence it is critical to carry out targeted, community education, One Health surveillance, prevention, and control measures against the disease. This will be critical to protecting humans against potential spillovers of infections during outbreak events in livestock.

Background: The Kenyan government has successfully been implementing sector specific and multisectoral projects aligned to the Global Health Security Agenda (GHSA). For operational readiness and to enhance the effective planning and implementation of Global Health Security Programs (GHSP) at national and subnational level, there is an urgent need for stakeholders' engagement process to seek input in identifying challenges, prioritise activities for field implementation, and identify applied research and development questions, that should be addressed in the next five years. Methods: The modified Child Health and Nutrition Research Initiative (CHNRI) method was used to identify global health security related priorities for multisectoral implementation in Kenya. Subject matter experts from human, animal and environmental health sectors at national and subnational level contributed to predefined research questions from a number of sources and activities for consideration for implementation using a One Health approach. Sixty-two experts scored the 193 questions based on five pre-defined criteria: 1) feasibility and answerability; 2) potential for burden reduction; 3) potential for a paradigm shift; 4) potential for translation and implementation; and 5) impact on equity. Data resulting from this process was then analysed in a Microsoft Excel spreadsheet to determine the research priorities and experts' agreements. Results: Among the priority activities identified for implementation research were; strengthening One Health governance and legal frameworks; integration of ecosystem health into One Health programming; strengthening disease reporting, integrated data collection, information sharing and joint outbreak response; socio-anthropological and gender-based approaches in improving risk and behavioural change communication and community engagement; and one health workforce development. In addition, the potentials to invest in collaborative predictive risk modelling to enhance epidemic intelligence systems, while strengthening the One Health approach in the food safety incident and emergency response plans are feasible. Interpretation: Successful multisectoral implementation of global health security program in Kenya calls for a whole of society approach that will harness community and private sector knowledge to build preparedness and response capacities while targeting neglected and marginalised populations. This research provides a framework that is worth emulating for cost-effective planning and implementation of overarching One Health programs.