Author

A. Hoppit

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

Biology Disciplines

Click to filter author papers

Ecology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:host-pathogen & immune response· 2 Approach:statistical model· 2

Frequent Co-Authors

A. Golightly· 2 shared A. W. Baggaley· 2 shared J. Branson· 2 shared L. E. Wadkin· 2 shared N. G. Parker· 2 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

A. Golightly

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Quantifying invasive pest dynamics through inference of a two-node epidemic network model

L. E. Wadkin, A. Golightly, J. Branson, A. Hoppit, N. G. Parker, A. W. Baggaley

The paper estimates parameters of a two-node epidemic model to analyze the spread of oak processionary moth between two London parks, finding that Richmond Park's infestation drives Bushy Park's.

bioRxiv · Jan 30, 2023 · PreprintEcology

Inference for epidemic models with time varying infection rates: tracking the dynamics of oak processionary moth in the UK

L. E. Wadkin, J. Branson, A. Hoppit, N. G. Parker, A. Golightly, A. W. Baggaley

The paper estimates the infestation rate and basic reproduction number of oak processionary moth using a Bayesian SIR model, finding they have remained constant since 2013.

bioRxiv · Dec 9, 2021Ecology