Author

E. Matechou

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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Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:chicken / avian· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

A. Buxton· 1 shared A. D. Tsaousis· 1 shared A. Diana· 1 shared F. D. Katzer· 1 shared J. Griffin· 1 shared M. Farre· 1 shared R. Buchanan· 1 shared R. Griffiths· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

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1 shared paperEcology

A. Buxton

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2 papers

Recent·Most cited

Global Prevalence of Cryptosporidium Infections in Cattle and C. parvum genotype distribution: A Meta-Analysis

R. Buchanan, E. Matechou, F. D. Katzer, A. D. Tsaousis, M. Farre

This paper estimates global Cryptosporidium prevalence in cattle at 25.5% and identifies C. parvum as the most common species, particularly the IIa subfamily, in diarrheic cases.

bioRxiv · Jul 16, 2024 · PreprintMicrobiology

An Rshiny app for modelling environmental DNA data: accounting for false positive and false negative observation error.

A. Diana, E. Matechou, J. Griffin, R. Griffiths, A. Buxton

The paper introduces an RShiny app that models eDNA data while accounting for false positive and false negative errors using a Bayesian approach.

bioRxiv · Dec 9, 2020Ecology