Author

Jason H. Richardson

Innovative Vector Control Consortium

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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Genetics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:simulation· 1

Frequent Co-Authors

Allison TatarskyiD· 1 shared Alongkot PonlawatiD· 1 shared Amanda J RossiD· 1 shared Andy SouthiD· 1 shared Arissara Pongsiri· 1 shared David J. McIveriD· 1 shared Derric David Nimmo· 1 shared Ellie Sherrard-SmithiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSystems Biology

Allison TatarskyORCID

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Author profile →

2 papers

Recent·Most cited

Inference for entomological semi-field experiments: Fitting a mathematical model assessing personal and community protection of vector-control interventions

Emma Louise Fairbanks, Manop Saeung, Arissara Pongsiri, Élodie A. Vajda, Yuqian Wang, David J. McIver, Jason H. Richardson, Allison Tatarsky, Neil Francis Lobo, Sarah Moore, Alongkot Ponlawat, Theeraphap Chareonviriyaphap, Amanda J Ross, Nakul Chitnis

The paper develops a Bayesian inference method to assess personal and community protection of vector-control interventions using semi-field experimental data.

Computers in Biology and Medicine · Nov 17, 2023Peer-reviewedSystems Biology

How best to co-deploy insecticides to minimise selection for resistance.

Sam P. Jones, Andy South, Jason H. Richardson, Sarah Rees, Ellie Sherrard-Smith, Graham J. Small, Derric David Nimmo, Ian Michael Hastings

The paper evaluates strategies for deploying insecticides to minimize resistance, finding that mixtures remain most effective when insecticides are fully effective.

bioRxiv · Apr 15, 2023 · PreprintGenetics