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 - Summary - MDSpire
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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

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Objective:

To investigate the prevalence of selected arboviral agents in blood samples from patients with non-malarial febrile illness in Garissa and Mombasa Counties during the surveillance periods of July 2023 and July 2024.

Approach:
    Key Findings:
    • The mobile laboratory effectively provided diagnostic services in underserved regions, with X% of samples testing positive for arboviral infections.
    • Arboviral infections were identified as significant contributors to acute febrile illnesses in the studied counties, accounting for X% of cases.
    Interpretation:

    The findings highlight the importance of mobile laboratories in enhancing arboviral surveillance and diagnosis in remote areas, which can lead to better public health responses, particularly in managing outbreaks.

    Limitations:
    • Limited access to specialized diagnostics in remote areas, which may affect the accuracy of results.
    • Potential underreporting of arboviral infections due to generic symptoms and lack of awareness among healthcare providers.
    Conclusion:

    Mobile laboratories represent a viable solution for improving arboviral surveillance and diagnosis in Kenya, particularly in hard-to-reach areas, ultimately contributing to enhanced public health outcomes.

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