Publications - Professor Glenn Marion

Publications (100)

New tools and insights to enable breeding for reduced disease transmission

Doeschl-Wilson, A.B., Marion, G. and Pooley, C. M.(2023). New tools and insights to enable breeding for reduced disease transmission In "Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges", 724 - 727. Eds. R.F. Veerkamp and Y. de Haas. Wageningen Academic Publishers.

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SIRE 2.0: a novel software tool to estimate host genetic variation in infectious disease transmission

Pooley, C. M., Marion, G. and Doeschl-Wilson, A.B.(2023). SIRE 2.0: a novel software tool to estimate host genetic variation in infectious disease transmission In "Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges", 1475 - 1478. Eds. R.F. Veerkamp and Y. de Haas. Wageningen Academic Publishers.

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Transmission experiment in turbot shows high genetic variation in host infectivity affecting disease spread and survival

Prentice, J.C., Pooley, C. M., Tsairidou, S., Pong Wong, R., Anacleto, O., Saura, M., Bailey, R. I., Marion, G., Villanueva, B. and Doeschl-Wilson, A.B.(2023). Transmission experiment in turbot shows high genetic variation in host infectivity affecting disease spread and survival In "Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges", 728 - 731. Eds. R.F. Veerkamp and Y. de Haas. Wageningen Academic Publishers.

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Archetype models upscale understanding of natural pest control response to land-use change

Alexandridis, N., Marion, G., Chaplin-Kramer, R., Dainese, M., Ekroos, J., Grab, H., Jonsson, M., Karp, D.S., Meyer, C., O'Rourke, M.E., Pontarp, M., Poveda, K., Seppelt, R., Smith, H.G., Walters, R.J., Clough, Y. and Martin, E.A.(2022). Archetype models upscale understanding of natural pest control response to land-use changeEcological Applications 32(8), e2696. Wiley.

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Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling

Swallow, B., Birrell, P., Blake, J., Burgman, M., Challenor, P., Coffeng, L.E., Dawid, P., De Angelis, D., Goldstein, M., Hemming, V., Marion, G., McKinley, T.J., Overton, C.E., Panovska-Griffiths, J., Pellis, L., Probert, W., Shea, K., Villela, D. and Vernon, I.(2022). Challenges in estimation, uncertainty quantification and elicitation for pandemic modellingEpidemics 38, 100547. Elsevier.

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The challenges of data in future pandemics

Shadbolt, N., Brett, A., Chen, M., Marion, G., McKendrick, I.J., Panovska-Griffiths, J., Pellis, L., Reeve, R. and Swallow, B.(2022). The challenges of data in future pandemicsEpidemics 40, 100612. Elsevier.

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Estimation of age-stratified contact rates during the COVID-19 pandemic using a novel inference algorithm

Pooley, C. M., Doeschl-Wilson, A.B. and Marion, G.(2022). Estimation of age-stratified contact rates during the COVID-19 pandemic using a novel inference algorithmPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 20210298. Royal Society Publshing.

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Modelling: understanding pandemics and how to control them

Marion, G., Hadley, L., Isham, V., Mollison, D., Panovska-Griffiths, J., Pellis, L., Scalia Tomba, G., Scarabel, F., Swallow, B., Trapman, P. and Villela, D.(2022). Modelling: understanding pandemics and how to control themEpidemics 39, 100588. Elsevier, Amsterdam, Netherlands.

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FAIR data pipeline: provenance-driven data management for traceable scientific workflows

Mitchell, S.N., Lahiff, A., Cummings, N., Hollocombe, J., Boskamp, BB, Field, R., Reddyhoff, D., Zarebski, K., Wilson, A., Viola, B., Burke, M, Archibald, B., Bessell, P.R., Blackwell, R., Boden, L.A., Brett, A., Brett, S., Dundas, R., Enright, J., Gonzalez-Beltran, A.N., Harris, C, Hinder, I., Hughes, C.D., Knight, M.A., Mano, V., McMonagle, C., Mellor, D.J., Mohr, S., Marion, G., Matthews, L., McKendrick, I.J., Pooley, C. M., Porphyre, T., Reeves, A., Townsend, E., Turner, R., Walton, J. and Reeve, R.(2022). FAIR data pipeline: provenance-driven data management for traceable scientific workflowsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 20210300. Royal Society Publshing.

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Models of natural pest control: Towards predictions across agricultural landscapes

Alexandridis, N., Marion, G., Chaplin-Kramer, R., Dainese, M., Ekroos, J., Grab, H., Jonsson, M., Karp, D.S., Meyer, C., O'Rourke, M.E., Pontarp, M., Poveda, K., Seppelt, R., Smith, H.G., Martin, E.A. and Clough, Y.(2021). Models of natural pest control: Towards predictions across agricultural landscapesBiological Control 63, 104761. Elsevier.

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