Utilization and associated determinants of multi-sectoral approach in zoonotic disease surveillance among animal and human healthcare workers in Nakuru County, Kenya.

Background: Zoonoses are naturally transmissible between humans and animals. Globally, they account for more than 60% of human infections, 75% of emerging infections, 2.7 million human deaths, and 10% of the total DALYs lost yearly in Africa.

Effectiveness of HIV prevention interventions targeting long-distance truck drivers: protocol for a systematic review and meta-analysis of global evidence.

Introduction: Globally, long-distance truck drivers' (LDTDs) risk of exposure to HIV infections is higher compared with other populations in transit. Thus, several HIV prevention interventions have been implemented, though to a narrower extent compared with other most at-risk populations. Consequently, the effectiveness of such interventions is not well understood.

A recent history of disease outbreaks in Kenya, 2007-2022: Findings from routine surveillance data.

Background: Africa reports the highest number of outbreaks globally, accounting for 39% of all outbreaks in 2022. The Integrated Disease Surveillance and Response strategy in Kenya ensures the reporting of outbreaks up to the national level. We present a summary of the burden of reported disease outbreaks in Kenya, 2007-2022.

Global burden of HIV among long-distance truck drivers: a systematic review and meta-analysis.

Objectives: The purpose of this study was to systematically summarise the empirical evidence on the prevalence of HIV among long-distance truck drivers (LDTDs) from all parts of the world.

Design: A systematic review and meta-analysis were conducted.

Data Sources: We searched PubMed, ProQuest Central, PubMed Central, Cumulated Index to Nursing and Allied Health Literature and Global Index Medicus to identify relevant information published from 1989 to 16 May 2023.

Widening geographic range of Rift Valley fever disease clusters associated with climate change in East Africa.

Background: Recent epidemiology of Rift Valley fever (RVF) disease in Africa suggests growing frequency and expanding geographic range of small disease clusters in regions that previously had not reported the disease. We investigated factors associated with the phenomenon by characterising recent RVF disease events in East Africa.

Methods: Data on 100 disease events (2008-2022) from Kenya, Uganda and Tanzania were obtained from public databases and institutions, and modelled against possible geoecological risk factors of occurrence including altitude, soil type, rainfall/precipitation, temperature, normalised difference vegetation index (NDVI), livestock production system, land-use change and long-term climatic variations.