Publications

Publications (61)

Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: Lessons learned from the United Kingdom National COVID-19 Surveillance Programmes

Wade, MJ., Lo Jacomo, A., Armenise, E., Brown, MR., Bunce, JT., Cameron, G., Fang, Z., Farkas, K., Gilpin, D., Graham, DW., Grimsley, J., Hart, A., Hoffman, T., Jackson, KJ., Jones, D.L., Lilley, CJ., Mcgrath, JW., Mckinley, JM., McSparrow, C., Nejad, BF., Morvan, M., Quintela-Baluja, M., Roberts, A.M.I., Singer, A., Souque, C., Speight, VL., Sweetapple, C., Walker, D., Watts, G., Weightman, A. and Kasprzyk-Hordern, B.(2021). Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: Lessons learned from the United Kingdom National COVID-19 Surveillance ProgrammesJournal of Hazardous Materials 424, 127456. Elsevier.

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Efficacy of two Chlamydia abortus subcellular vaccines in a pregnant ewe challenge model for ovine enzootic abortion

Livingstone, M., Wattegedera, S., Palarea Albaladejo, J., Aitchison, K., Corbett, C., Sait, M., Wilson, K., Chianini, F., Rocchi, M.S., Wheelhouse, N., Entrican, G. and Longbottom, D.(2021). Efficacy of two Chlamydia abortus subcellular vaccines in a pregnant ewe challenge model for ovine enzootic abortionVaccines 9(8), 898. MDPI (Multidisciplinary Digital Publishing Institute).

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Weighting of parts in compositional data analysis: advances and applications

Hron, K., Menafoglio, A., Palarea Albaladejo, J., Filzmoser, P., Talská, R. and Egozcue, J.J.(2021). Weighting of parts in compositional data analysis: advances and applicationsMathematical Geosciences. Springer.

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A guide to state-space modeling of ecological time series

Auger-Methe, M., Newman, K, Cole, D., Empacher, F., Gryba, R., King, A., Leos-Barajas, V., Fleming, J., Nielsen, A., Petris, G. and Thomas, L.(2021). A guide to state-space modeling of ecological time seriesEcological Monographs. Wiley, New York.

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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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Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project

Stubbs, J., Duarte, C., Palmeira, AL., Sniehotta, FF., Horgan, G.W., Larsen, S., Marques, M., Evans, E.H., Ermes, M., Harjumaa, M., Turicchi, J., O'Driscoll, R., Scott, S., Pearson, B., Ramsey, L., Mattila, E., Matos, M., Sacher, PM., Woodward, E., Mikkelsen, M-L., Sainsbury, K., Santos, I., Encantado, JE., Stalker, C., Teixeira, PJ. and Heitmann, BL.(2021). Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW ProjectObesity Facts 14, 320-333.

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Estimating antimicrobial usage based on sales to beef and dairy farms from UK veterinary practices

Humphry, RW., Henry, M.K., Reeves, A., Correia-Gomes, C., Innocent, G.T., Gunn, G. J. and Tongue, SC.(2021). Estimating antimicrobial usage based on sales to beef and dairy farms from UK veterinary practicesVeterinary Record 189(1). British Veterinary Association.

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