Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model von Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F., Quilty, John M.

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A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations von Sikorska-Senoner, Anna E., Quilty, John M.

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A stochastic conceptual-data-driven approach for improved hydrological simulations von Quilty, John M., Sikorska-Senoner, Anna E., Hah, David

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Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting von Mouatadid, Soukayna, Adamowski, Jan F., Tiwari, Mukesh K., Quilty, John M.

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Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle von Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F., Quilty, John M.

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Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms von Rahman, A.T.M. Sakiur, Hosono, Takahiro, Quilty, John M., Das, Jayanta, Basak, Amiya

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A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations von Sikorska-Senoner, Anna E, Quilty, John M

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Ensemble and stochastic conceptual data-driven approaches for improving streamflow simulations: Exploring different hydrological and data-driven models and a diagnostic tool von Hah, David, Quilty, John M., Sikorska-Senoner, Anna E.

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Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts von Hellewell, Joel, Abbott, Sam, Gimma, Amy, Bosse, Nikos I, Jarvis, Christopher I, Russell, Timothy W, Munday, James D, Kucharski, Adam J, Edmunds, W John, Sun, Fiona, Flasche, Stefan, Quilty, Billy J, Davies, Nicholas, Liu, Yang, Clifford, Samuel, Klepac, Petra, Jit, Mark, Diamond, Charlie, Gibbs, Hamish, van Zandvoort, Kevin, Funk, Sebastian, Eggo, Rosalind M

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Changing travel patterns in China during the early stages of the COVID-19 pandemic von Gibbs, Hamish, Liu, Yang, Pearson, Carl A. B., Jarvis, Christopher I., Grundy, Chris, Quilty, Billy J., Diamond, Charlie, Eggo, Rosalind M.

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Age-dependent effects in the transmission and control of COVID-19 epidemics von Davies, Nicholas G., Klepac, Petra, Liu, Yang, Prem, Kiesha, Jit, Mark, Eggo, Rosalind M.

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Early dynamics of transmission and control of COVID-19: a mathematical modelling study von Kucharski, Adam J, Russell, Timothy W, Diamond, Charlie, Liu, Yang, Edmunds, John, Funk, Sebastian, Eggo, Rosalind M, Sun, Fiona, Jit, Mark, Munday, James D, Davies, Nicholas, Gimma, Amy, van Zandvoort, Kevin, Gibbs, Hamish, Hellewell, Joel, Jarvis, Christopher I, Clifford, Sam, Quilty, Billy J, Bosse, Nikos I, Abbott, Sam, Klepac, Petra, Flasche, Stefan

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Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study von Kucharski, Adam J, Klepac, Petra, Conlan, Andrew J K, Kissler, Stephen M, Tang, Maria L, Fry, Hannah, Gog, Julia R, Edmunds, W John, Emery, Jon C, Medley, Graham, Munday, James D, Russell, Timothy W, Leclerc, Quentin J, Diamond, Charlie, Procter, Simon R, Gimma, Amy, Sun, Fiona Yueqian, Gibbs, Hamish P, Rosello, Alicia, van Zandvoort, Kevin, Hué, Stéphane, Meakin, Sophie R, Deol, Arminder K, Knight, Gwen, Jombart, Thibaut, Foss, Anna M, Bosse, Nikos I, Atkins, Katherine E, Quilty, Billy J, Lowe, Rachel, Prem, Kiesha, Flasche, Stefan, Pearson, Carl A B, Houben, Rein M G J, Nightingale, Emily S, Endo, Akira, Tully, Damien C, Liu, Yang, Villabona-Arenas, Julian, O'Reilly, Kathleen, Funk, Sebastian, Eggo, Rosalind M, Jit, Mark, Rees, Eleanor M, Hellewell, Joel, Clifford, Samuel, Jarvis, Christopher I, Abbott, Sam, Auzenbergs, Megan, Davies, Nicholas G, Simons, David

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Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK von Jarvis, Christopher I, Van Zandvoort, Kevin, Gimma, Amy, Prem, Kiesha, Klepac, Petra, Rubin, G James, Edmunds, W John

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Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) von Quilty, Billy J, Clifford, Sam, Flasche, Stefan, Eggo, Rosalind M

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The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study von Prem, Kiesha, Liu, Yang, Russell, Timothy W, Kucharski, Adam J, Eggo, Rosalind M, Davies, Nicholas, Flasche, Stefan, Clifford, Samuel, Pearson, Carl A B, Munday, James D, Abbott, Sam, Gibbs, Hamish, Rosello, Alicia, Quilty, Billy J, Jombart, Thibaut, Sun, Fiona, Diamond, Charlie, Gimma, Amy, van Zandvoort, Kevin, Funk, Sebastian, Jarvis, Christopher I, Edmunds, W John, Bosse, Nikos I, Hellewell, Joel, Jit, Mark, Klepac, Petra

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Using a real-world network to model localized COVID-19 control strategies von Firth, Josh A., Hellewell, Joel, Klepac, Petra, Kissler, Stephen, Kucharski, Adam J., Spurgin, Lewis G.

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Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada von Barzegar, Rahim, Ghasri, Mahsa, Qi, Zhiming, Quilty, John, Adamowski, Jan

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Quarantine and testing strategies in contact tracing for SARS-CoV-2: a modelling study von Quilty, Billy J, Clifford, Samuel, Hellewell, Joel, Russell, Timothy W, Kucharski, Adam J, Flasche, Stefan, Edmunds, W John, Atkins, Katherine E, Foss, Anna M, Waterlow, Naomi R, Abbas, Kaja, Lowe, Rachel, Pearson, Carl A B, Funk, Sebastian, Rosello, Alicia, Knight, Gwenan M, Bosse, Nikos I, Procter, Simon R, Gore-Langton, Georgia R, Showering, Alicia, Munday, James D, Sherratt, Katharine, Jombart, Thibaut, Nightingale, Emily S, Liu, Yang, Jarvis, Christopher I, Medley, Graham, Brady, Oliver, Gibbs, Hamish P, Simons, David, Williams, Jack, Tully, Damien C, Flasche, Stefan, Meakin, Sophie R, Zandvoort, Kevin, Sun, Fiona Y, Jit, Mark, Klepac, Petra, Quaife, Matthew, Eggo, Rosalind M, Sandmann, Frank G, Endo, Akira, Prem, Kiesha, Abbott, Sam, Barnard, Rosanna, Chan, Yung-Wai D, Auzenbergs, Megan, Gimma, Amy, Villabona-Arenas, C Julian, Davies, Nicholas G

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Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study von Clark, Andrew, Jit, Mark, Warren-Gash, Charlotte, Guthrie, Bruce, Wang, Harry H X, Mercer, Stewart W, Sanderson, Colin, McKee, Martin, Troeger, Christopher, Ong, Kanyin L, Checchi, Francesco, Perel, Pablo, Joseph, Sarah, Gibbs, Hamish P, Banerjee, Amitava, Eggo, Rosalind M, Nightingale, Emily S, O'Reilly, Kathleen, Jombart, Thibaut, Edmunds, W John, Rosello, Alicia, Sun, Fiona Yueqian, Atkins, Katherine E, Bosse, Nikos I, Clifford, Samuel, Russell, Timothy W, Deol, Arminder K, Liu, Yang, Procter, Simon R, Leclerc, Quentin J, Medley, Graham, Knight, Gwen, Munday, James D, Kucharski, Adam J, Pearson, Carl A B, Klepac, Petra, Prem, Kiesha, Houben, Rein M G J, Endo, Akira, Flasche, Stefan, Davies, Nicholas G, Diamond, Charlie, van Zandvoort, Kevin, Funk, Sebastian, Auzenbergs, Megan, Rees, Eleanor M, Tully, Damien C, Emery, Jon C, Quilty, Billy J, Abbott, Sam, Villabona-Arenas, Ch Julian, Hué, Stéphane, Hellewell, Joel, Gimma, Amy, Jarvis, Christopher I

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