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dc.contributor.authorShaik, Riyaz Ahamed
dc.contributor.authorAhmad, Mohammad Shakil
dc.contributor.authorMiraj, Mohammad
dc.contributor.authorSami, Waqas
dc.contributor.authorAzam, Alashjaee Ahmed
dc.contributor.authorOkwarah, Patrick
dc.date.accessioned2025-03-25T12:48:38Z
dc.date.available2025-03-25T12:48:38Z
dc.date.issued2025
dc.identifier.citationShaik, R. A., Ahmad, M. S., Miraj, M., Sami, W., Azam, A. A., & Okwarah, P. (2025). Evaluating the burden and transmission dynamics of chikungunya virus infections in the Eastern Mediterranean Region: a systematic review and meta-analysis. European Journal of Public Health, 35(Supplement_1), i27-i34.en_US
dc.identifier.urihttps://repository.amref.ac.ke/handle/20.500.14173/1024
dc.descriptionEuropean Journal of Public Health, Vol. 35, Supplement 1, i27–i34 © The Author(s) 2025. Published by Oxford University Press on behalf of the European Public Health Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. https://doi.org/10.1093/eurpub/ckae165en_US
dc.description.abstractThe Chikungunya virus (CHIKV) presents substantial public health challenges in the Eastern Mediterranean Region (EMR), with its prevalence and interaction with other arboviruses (ABVs) remaining poorly understood. This systematic review and meta-analysis aimed to assess the prevalence of CHIKV and its association with other ABVs, such as dengue virus (DENV), Rift Valley fever virus (RVFV), malaria, and yellow fever virus (YFV), in the EMR. We systematically searched databases including PubMed, Embase, Web of Science, Scopus, Cochrane Library, CINAHL, PsycINFO, and ScienceDirect to identify epidemiological studies that report CHIKV prevalence and provide odds ratios (ORs) for CHIKV compared to other ABVs. Data analysis was performed using a random effects model. Heterogeneity was evaluated using the χ2 test and I 2 statistic. The GRADE approach was used to evaluate the quality of the studies while the AXIS tool, NOS tool, and AHRQ checklist assessed the risk of bias. The meta-analysis revealed a significant prevalence of CHIKV in the EMR. However, the studies exhibited heterogen eity, indicating variability in the results. A comparison of CHIKV with other ABVs did not show any statistically significant differences in prevalence. The meta-analysis found a notable prevalence of CHIKV in the EMR. The results also indicated that the prevalence of CHIKV is comparable to that of other ABVs in the region. These findings provide an overview of the burden of CHIKV in the EMR.en_US
dc.language.isoenen_US
dc.publisherEuropean Journal of Public Healthen_US
dc.titleEvaluating the burden and transmission dynamics of chikungunya virus infections in the Eastern Mediterranean Region: a systematic review and meta-analysisen_US
dc.typeArticle, Journalen_US


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