Author

M. Muturi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Mwatondo· 1 shared A. Riddle· 1 shared E. Osoro· 1 shared F. Dowell· 1 shared F. Gakuya· 1 shared F. Mure· 1 shared H. Oyas· 1 shared I. Lekolool· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

A. Mwatondo

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2 papers

Recent·Most cited

High Real-time Reporting of Domestic and Wild Animal Diseases Following Rollout of Mobile Phone Reporting System in Kenya

M. K. Njenga, N. Kemunto, S. Kahariri, L. Holmstrom, H. Oyas, K. Biggers, A. Riddle, J. Gachohi, M. Muturi, A. Mwatondo, F. Gakuya, I. Lekolool, R. Sitawa, M. Apamaku, E. Osoro, , P. Munyua

This paper describes the development and implementation of a mobile phone-based disease reporting system in Kenya to improve early detection of zoonotic diseases, showing increased reporting rates and successful outbreak detection.

bioRxiv · Dec 4, 2020Microbiology

Evaluation of near infrared spectroscopy for sporozoite detection in mosquitoes infected with wild-strain parasites from asymptomatic gametocyte carriers in Kilifi Kenya

M. Ferreira Maia, M. G. Wagah, J. Karisa, R. Mwakesi, F. Mure, M. Muturi, J. Wambua, M. Hamaluba, F. Dowell, P. Bejon, M. Kapulu

This study evaluates near infrared spectroscopy for detecting sporozoite infection in mosquitoes using field isolates, finding that predictive models failed to distinguish infected from uninfected mosquitoes.

bioRxiv · Jul 25, 2020 · PreprintZoology