Molecular Identification of Arboviral Infections (Dengue, Chikungunya, Yellow Fever, Rift Valley Fever, Mayaro, West Nile, and Zika) in Acute Febrile Illnesses Without Malaria in Kenya's Garissa and Mombasa Counties, July 2023 and July 2024
By
Abdi Roba
John Kiiru
Elvis Kirui
Paul Langat
Marygorett Mbeneka
Mellap Wanyonyi
Judith Nasengo
Hakim I. Lagu
Emmanuel Achol
Muna Affara
Florian Gehre
Hussein Hassan
Evans Odiambo
Fatuma Dugay
Aden Hussein
Frankline Okemwa
Salma Swaleh
Suleiman Thani
Rose Gichana
Isaiah Karissa
Millicent Ndia
January 9, 2026
Clinical Scorecard: Molecular Identification of Arboviral Infections in Acute Febrile Illnesses in Kenya
At a Glance
Category Detail
Condition Arboviral infections (Dengue, Chikungunya, Yellow Fever, Rift Valley Fever, Mayaro, West Nile, Zika)
Key Mechanisms Viral transmission through mosquito vectors leading to febrile illnesses.
Target Population Patients presenting with non-malarial acute febrile illness in Garissa and Mombasa Counties.
Care Setting Health facilities in Garissa County and Mombasa County, Kenya.
Key Highlights
Emergence of arboviruses as significant causes of acute febrile illnesses in sub-Saharan Africa. Mobile laboratory deployment reduced diagnostic sample turnaround time. Surveillance conducted in regions with limited access to specialized diagnostics.
Guideline-Based Recommendations
Diagnosis
Utilize mobile laboratories for rapid diagnosis of arboviral infections. Implement PCR diagnostics for accurate identification of arboviruses.
Management
Enhance patient management through timely diagnosis and treatment. Integrate mobile laboratory services into local health systems.
Monitoring & Follow-up
Conduct ongoing surveillance for arboviral infections in high-risk areas. Monitor epidemiological trends and outbreaks in affected regions.
Risks
Increased risk of arboviral outbreaks due to ecological and social changes. Challenges in accessing remote areas for timely diagnosis and intervention.
Patient & Prescribing Data
Individuals with acute febrile illness without malaria in Garissa and Mombasa.
Early identification of arboviral infections can improve clinical outcomes.
Clinical Best Practices
Establish mobile laboratory networks to enhance diagnostic capacity. Train local health workers on arboviral disease recognition and management.
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