Projects per year
Personal profile
Research Interests
Bayesian inference for epidemic models, spatiotemporal modelling of infectious diseases, individual-level modelling
Education/Academic qualification
PhD, Mathematical modelling of cell growth in tissue engineering bioreactors
1/10/2010 → 14/04/2015
Award Date: 1/05/2015
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
DSI: Inference for multiscale infectious disease dynamics
Chapman, L. (Principal Investigator) & Fozard, J. (Co-Investigator)
Project: Research
-
Modelling and inference of seasonal flu transmission to optimise flu vaccination (Ellie Foster)
Chapman, L. (Principal Investigator)
1/10/24 → 30/09/26
Project: Research
-
STORI: High-dimensional inference for models of antimicrobial resistance transmission in open populations (James Neill)
Jewell, C. (Principal Investigator) & Chapman, L. (Co-Investigator)
Liverpool School of Tropical Medicine
1/10/23 → 30/09/26
Project: Research
-
Constructing Contact and Connectivity Matrices for Infectious Disease Modelling
Li, X., Zhang, D., Bansal, N., Bridgen, J. R. E., Jewell, C., McBryde, E., Marion, G., Nixon, E., O'Neill, P. D., Pascall, D. J., Pellis, L., Spencer, S. E. F., Touloupou, P., Chapman, L. & Swallow, B., 28/05/2026, Arxiv.Research output: Working paper › Preprint
Open Access -
Disentangling the drivers of heterogeneity in SARS-CoV-2 transmission from data on viral load and daily contact rates
Quilty, B. J., Chapman, L. A. C., Munday, J. D., Wong, K. L. M., Gimma, A., Pickering, S., Neil, S., Galao, R. P., Edmunds, W. J., Jarvis, C. I. & Kucharski, A. J., 28/08/2026, In: PLoS Computational Biology. 22, 8, e1014715.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access -
Disentangling the drivers of heterogeneity in SARS-CoV-2 transmission from data on viral load and daily contact rates
Quilty, B. J., Chapman, L. A., Munday, J. D., Wong, K. L., Gimma, A., Pickering, S., Neil, S. J., Galão, R. P., Edmunds, W. J., Jarvis, C. I. & Kucharski, A. J., 11/04/2026, medRxiv.Research output: Working paper › Preprint
Open Access -
How complex behavioural contagion can prevent infectious diseases from becoming endemic
Plank, M. J., Ryan, M., Chapman, L., Hickson, R. I., House, T., McBryde, E. & McCaw, J. M., 13/04/2026, Arxiv.Research output: Working paper › Preprint
Open Access -
Non-centering for discrete-valued state transition models: an application to ESBL-producing E. coli transmission in Malawi
Neill, J., Lester, R., Bakali, W., Roberts, G., Feasey, N., Chapman, L. A. C. & Jewell, C., 31/10/2026, In: Statistics and Computing. 36, 5, 208.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access
Activities
-
Bayesian inference for individual-level epidemic models
Chapman, L. (Speaker)
9/07/2026Activity: Talk or presentation types › Oral presentation
-
Joint UNIversities Pandemic and Epidemiological Research (JUNIPER) (External organisation)
Chapman, L. (Member)
1/07/2026 → …Activity: Membership types › Membership of board
-
Bayesian inference for individual-level epidemic models
Chapman, L. (Speaker)
10/06/2026Activity: Talk or presentation types › Oral presentation
-
Particle degeneracy in fitting high-dimensional epidemic models
Chapman, L. (Speaker)
2/06/2026Activity: Talk or presentation types › Invited talk
-
British Applied Mathematics Colloquium 2026
Chapman, L. (Organiser)
1/04/2026Activity: Participating in or organising an event types › Symposium
Press/Media
-
New pandemic research gives insight into coordinated future response
Haywood, K. & Chapman, L.
14/06/24
1 item of Media coverage
Press/Media: Newspaper Article