Molecular screening reveals non-uniform malaria transmission in western Kenya and absence of Rickettsia africae and selected arboviruses in hospital patients

dc.contributor.authorChiuya, Tatenda
dc.contributor.authorVillinger, Jandouwe
dc.contributor.authorFalzon, Laura C.
dc.contributor.authorAlumasa, Lorren
dc.contributor.authorAmanya, Fredrick
dc.contributor.authorBastos, Armanda D.S.
dc.contributor.authorFevre, Eric M.
dc.contributor.authorMasiga, Daniel K.
dc.date.accessioned2023-08-29T10:16:14Z
dc.date.available2023-08-29T10:16:14Z
dc.date.issued2022-09
dc.descriptionAVAILABILITY OF DATA AND MATERIALS : The dataset generated and analysed in this study can be made available from the corresponding authors on reasonable request. All the nucleotide sequences generated from this study have been deposited and are available in the GenBank database under the accession numbers indicated in text.en_US
dc.descriptionSUPPLEMENTARY INFORMATION : ADDITIONAL FILE file 1. Detailed description of primers and thermocycling conditions used for the detection of Rickettsia africae, arboviruses and Plasmodium spp. ADDITIONAL FILE 2. Detailed description of the management of independent variables for statistical analysis.en_US
dc.description.abstractBACKGROUND : In sub-Saharan Africa, malaria is the common diagnosis for febrile illness and related clinical features, resulting in the under-diagnosis of other aetiologies, such as arboviruses and Rickettsia. While these may not be significant causes of mortality in malaria-endemic areas, they affect the daily life and performance of affected individuals. It is, therefore, important to have a clear picture of these other aetiologies to institute correct diagnoses at hospitals and improve patient outcomes. METHODS : Blood samples were collected from patients with fever and other clinical features associated with febrile illness at selected hospitals in the malaria-endemic counties of Busia, Bungoma, and Kakamega, and screened for Crimean-Congo haemorrhagic fever, Sindbis, dengue and chikungunya viruses, Rickettsia africae, and Plasmodium spp. using high-throughput real-time PCR techniques. A logistic regression was performed on the results to explore the effect of demographic and socio-economic independent variables on malaria infection. RESULTS : A total of 336 blood samples collected from hospital patients between January 2018 and February 2019 were screened, of which 17.6% (59/336) were positive for Plasmodium falciparum and 1.5% (5/336) for Plasmodium malariae. Two patients had dual P. falciparum/P. malariae infections. The most common clinical features reported by the patients who tested positive for malaria were fever and headache. None of the patients were positive for the arboviruses of interest or R. africae. Patients living in Busia (OR 5.2; 95% CI 2.46–11.79; p < 0.001) and Bungoma counties (OR 2.7; 95% CI 1.27–6.16; p = 0.013) had higher odds of being infected with malaria, compared to those living in Kakamega County. CONCLUSIOS : The reported malaria prevalence is in line with previous studies. The absence of arboviral and R. africae cases in this study may have been due to the limited number of samples screened, low-level circulation of arboviruses during inter-epidemic periods, and/or the use of PCR alone as a detection method. Other sero-surveys confirming their circulation in the area indicate that further investigations are warranted.en_US
dc.description.departmentZoology and Entomologyen_US
dc.description.librarianhj2023en_US
dc.description.sponsorshipThe European Union’s Integrated Biological Control Applied Research Program (EU-IBCARP); icipe institutional funding from UK’s Foreign, Commonwealth & Development Office (FCDO); Swedish International Development Cooperation Agency (Sida); the Swiss Agency for Development and Cooperation (SDC); Federal Democratic Republic of Ethiopia; the Kenyan Government; a German Academic Exchange Service (DAAD) through the icipe ARPPIS-DAAD scholarship and through a University of Pretoria postgraduate bursary; the ZooLinK project which was supported by the Biotechnology and Biological Sciences Research Council, the Department for International Development, the Economic & Social Research Council, the Medical Research Council, the Natural Environment Research Council and the Defence Science & Technology Laboratory, under the Zoonoses and Emerging Livestock Systems (ZELS) programme; the CGIAR Research Program on Agriculture for Nutrition and Health (A4NH), led by the International Food Policy Research Institute (IFPRI) and the CGIAR Fund Donors (http://www.cgiar.org/funders/).en_US
dc.description.urihttps://malariajournal.biomedcentral.comen_US
dc.identifier.citationChiuya, T., Villinger, J., Falzon, L.C. et al. Molecular screening reveals non-uniform malaria transmission in western Kenya and absence of Rickettsia africae and selected arboviruses in hospital patients. Malaria Journal 21, 268 (2022). https://doi.org/10.1186/s12936-022-04287-3.en_US
dc.identifier.issn1475-2875 (online)
dc.identifier.other10.1186/s12936-022-04287-3
dc.identifier.urihttp://hdl.handle.net/2263/92099
dc.language.isoenen_US
dc.publisherBMCen_US
dc.rights© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.subjectSub-Saharan Africa (SSA)en_US
dc.subjectMalariaen_US
dc.subjectFeveren_US
dc.subjectDiagnosisen_US
dc.subjectPrevalenceen_US
dc.subjectSocio-economic factorsen_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleMolecular screening reveals non-uniform malaria transmission in western Kenya and absence of Rickettsia africae and selected arboviruses in hospital patientsen_US
dc.typeArticleen_US

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