@article{Akala:2021:10.1016/S2666-5247(21)00009-4,
author = {Akala, HM and Watson, OJ and Mitei, KK and Juma, DW and Verity, R and Ingasia, LA and Opot, BH and Okath, RO and Chemwor, GC and Juma, JA and Mwakio, EW and Brazeau, N and Cheruiyot, AC and Yeda, RA and Maraka, MN and Okello, CO and Kateete, DP and Managbanag, JR and Andagalu, B and Ogutu, BR and Kamau, E},
doi = {10.1016/S2666-5247(21)00009-4},
journal = {The Lancet Microbe},
pages = {e141--e150},
title = {Plasmodium interspecies interactions during a period of increasing prevalence of Plasmodium ovale in symptomatic individuals seeking treatment: an observational study},
url = {http://dx.doi.org/10.1016/S2666-5247(21)00009-4},
volume = {2},
year = {2021}
}

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TY  - JOUR
AB  - BackgroundThe epidemiology and severity of non-falciparum malaria in endemic settings has garnered little attention. We aimed to characterise the prevalence, interaction, clinical risk factors, and temporal trends of non-falciparum Plasmodium species among symptomatic individuals presenting at health-care facilities in endemic settings of Kenya.MethodsWe diagnosed and analysed infecting malaria species (Plasmodium falciparum, Plasmodium ovale curtisi, Plasmodium ovale wallikeri, and Plasmodium malariae) via PCR in clinical samples collected between March 1, 2008, and Dec 31, 2016, from six hospitals located in different regions of Kenya. We recruited patients aged 6 months or older who presented at outpatient departments with symptoms of malaria or tested positive for uncomplicated malaria by malaria rapid diagnostic test. Descriptive statistics were used to describe the prevalence and distribution of Plasmodium species. A statistical model was designed and used for estimating the frequency of Plasmodium species and assessing interspecies interactions. Mixed-effect linear regression models with random slopes for each location were used to test for change in prevalence over time.FindingsSamples from 2027 symptomatic participants presenting at care facilities were successfully analysed for all Plasmodium species. 1469 (72·5%) of the samples were P falciparum single-species infections, 523 (25·8%) were mixed infections, and only 35 (1·7%) were single non-falciparum species infections. 452 (22·3%) were mixed infections containing P ovale spp. A likelihood-based model calculation of the population frequency of each species estimated a significant within-host interference between P falciparum and P ovale curtisi. Mixed-effect logistic regression models identified a significant increase in P ovale wallikeri (2·1% per year; p=0·043) and P ovale curtisi (0·7% per year; p=0·0002) species over time, with a reciprocal decr
AU  - Akala,HM
AU  - Watson,OJ
AU  - Mitei,KK
AU  - Juma,DW
AU  - Verity,R
AU  - Ingasia,LA
AU  - Opot,BH
AU  - Okath,RO
AU  - Chemwor,GC
AU  - Juma,JA
AU  - Mwakio,EW
AU  - Brazeau,N
AU  - Cheruiyot,AC
AU  - Yeda,RA
AU  - Maraka,MN
AU  - Okello,CO
AU  - Kateete,DP
AU  - Managbanag,JR
AU  - Andagalu,B
AU  - Ogutu,BR
AU  - Kamau,E
DO  - 10.1016/S2666-5247(21)00009-4
EP  - 150
PY  - 2021///
SN  - 2666-5247
SP  - 141
TI  - Plasmodium interspecies interactions during a period of increasing prevalence of Plasmodium ovale in symptomatic individuals seeking treatment: an observational study
T2  - The Lancet Microbe
UR  - http://dx.doi.org/10.1016/S2666-5247(21)00009-4
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000636587200009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://www.sciencedirect.com/science/article/pii/S2666524721000094
VL  - 2
ER  - 

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