Author

J. Midega

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· 2

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

E. Ochomo· 2 shared E. R. Lucas· 2 shared L. Sedda· 2 shared M. J. Donnelly· 2 shared A. Egyr-Yawson· 1 shared A. V. C. Edi· 1 shared B. I. Kabula· 1 shared B. Kemei· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersEcology

E. Ochomo

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2 papers

Recent·Most cited

Spatially explicit sampling frameworks to identify regions of increased mosquito abundance

B. Kemei, E. Ochomo, M. Ombok, J. Midega, E. R. Lucas, M. J. Donnelly, L. Sedda, D. P. McDermott

This study applies a spatially explicit sampling framework in coastal Kenya to identify high mosquito abundance areas and improve vector control strategies.

bioRxiv · Nov 21, 2023 · PreprintEcology

Improved spatial ecological sampling using open data and standardization: an example from malaria mosquito surveillance

L. Sedda, E. R. Lucas, L. S. Djogbenou, A. V. C. Edi, A. Egyr-Yawson, B. I. Kabula, J. Midega, E. Ochomo, D. Weetman, M. J. Donnelly

The paper proposes a framework for ecological sampling design using open data to improve malaria mosquito surveillance by balancing prediction accuracy and sample efficiency.

bioRxiv · Nov 9, 2018Ecology