Author

Melissa A. Penny

Swiss Tropical and Public Health InstituteORCID 0000-0002-4972-593XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:human· 1 Organism:plant (other)· 1

Frequent Co-Authors

Tamsin E. LeeiD· 2 shared Bo GaoiD· 1 shared David L. SmithiD· 1 shared Flavia CamponovoiD· 1 shared Jaline GerardiniD· 1 shared Jonathan R. RusselliD· 1 shared Lucy OkelliD· 1 shared Lydia Burgert· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Tamsin E. LeeORCID

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3 papers

Recent·Most cited

Pre-existing partner-drug resistance facilitates the emergence and spread of artemisinin resistance: a consensus modelling study

Oliver John Watson, Bo Gao, Tran Dang Nguyen, Thu Nguyen-Anh Tran, Melissa A. Penny, David L. Smith, Lucy Okell, Ricardo J. Aguas, Maciej F. Boni

This study shows that pre-existing partner-drug resistance accelerates the emergence of artemisinin resistance through consensus modelling of Plasmodium falciparum transmission.

The Lancet Microbe · Aug 2, 2022Peer-reviewedGenetics

The competition dynamics of resistant and sensitive infections

Tamsin E. Lee, Sebastian Bonhoeffer, Melissa A. Penny

The paper develops a model to study antimicrobial resistance dynamics and competition, finding that competitive release has limited impact once resistance emerges, and effective treatment is key to mitigating spread.

Results in Physics · Jan 15, 2022Peer-reviewedBioinformatics

Mechanistic within-host models of the asexual Plasmodium falciparum infection: a review and analytical assessment

Flavia Camponovo, Tamsin E. Lee, Jonathan R. Russell, Lydia Burgert, Jaline Gerardin, Melissa A. Penny

The paper reviews and analyzes mechanistic within-host models of asexual Plasmodium falciparum infection, finding that models often attribute inter-individual variability to randomness rather than mechanistic factors.

Malaria Journal · Jul 10, 2021Peer-reviewedBioinformatics