The Lifebelt Particle Filter for robust estimation from low-valued count data

Autor: Corbella, Alice, McKinley, Trevelyan J., Birrell, Paul J., De Angelis, Daniela, Presanis, Anne M., Roberts, Gareth O., Spencer, Simon E. F.

Particle filtering methods can be applied to estimation problems in discrete spaces on bounded domains, to sample from and marginalise over unknown hidden states. As in continuous settings, problems such as particle degradation can arise: proposed pa

Externí odkaz: http://arxiv.org/abs/2212.04400

Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods

Autor: Corbella, Alice, Presanis, Anne M, Birrell, Paul J, De Angelis, Daniela

Health-policy planning requires evidence on the burden that epidemics place on healthcare systems. Multiple, often dependent, datasets provide a noisy and fragmented signal from the unobserved epidemic process including transmission and severity dyna

Externí odkaz: http://arxiv.org/abs/2204.08901

Trends in risks of severe events and lengths of stay for COVID-19 hospitalisations in England over the pre-vaccination era: results from the Public Health England SARI-Watch surveillance scheme

Autor: Kirwan, Peter D., Elgohari, Suzanne, Jackson, Christopher H., Tom, Brian D. M., Mandal, Sema, De Angelis, Daniela, Presanis, Anne M.

Background: Trends in hospitalised case-fatality risk (HFR), risk of intensive care unit (ICU) admission and lengths of stay for patients hospitalised for COVID-19 in England over the pre-vaccination era are unknown. Methods: Data on hospital and ICU

Externí odkaz: http://arxiv.org/abs/2103.04867

Effect of second booster vaccinations and prior infection against SARS-CoV-2 in the UK SIREN healthcare worker cohort

Autor: Lewis, Tracy, Bain, Steve, Thomas, Rebeccah, Geen, John, Pothecary, Carla, Cutler, Sean, Northfield, John, Price, Cathy, Tomlinson, Johanne, Knight, Sarah, Macnaughton, Emily, Watson, Ekaterina, Lazarus, Rajeka, Sinclair, Aaran, Galliford, Joanne, Masunda, Bridgett, Mahungu, Tabitha, Rodger, Alison, Hanison, Esther, Warren, Simon, Jain, Swati, Mirfenderesky, Mariyam, Mahabir, Natasha, Pritchard-Jones, Rowan, Wycherley, Diane, Gabriel, Claire, Matovu, Elijah, Bakker, Philippa, Guha, Simantee, Gormley, S., Pethick, James, Butt, Georgina, Pepper, Stacey, Bedford, Luke, Ridley, Paul, Democratis, Jane, Meda, Manjula, Chawla, Anu, Westwell, Fran, Kalakonda, Nagesh, Khanduri, Sheena, Doel, Allison, Pai, Sumita, Hacon, Christian, Nwaka, Davis, Moro, Veronica Mendez, Moody, A., Auckland, Cressida, Prince, Stephanie, de Silva, Thushan, Shulver, Helen, Shah, A., Jones, C., Subhro-Osuji, Banerjee, Houston, Angela, Planche, Tim, Booth, Martin, Duff, Christopher, Aeron-Thomas, Jonnie, Chaudhuri, Ray, Hilton, David, Jory, Hannah, Al-Khafaji, Zehra'a, Kemsley, Philippa, Longfellow, Ruth, Boss, David, Brake, Simon, Coke, Louise, Elumogo, Ngozi, Latham, Scott, Subudhi, Chinari, Hoad, Ina, Thomas, Claire, Chitalia, Nihil, Edmunds, Tracy, Ashby, Helen, Elliott, John, Wilkinson, Beverley, Rand, Abby, Thompson, Catherine, Agwuh, K., Grice, Anna, Moran, Kelly, Waykar, Vijayendra, Lester, Yvonne, Sach, Lauren, Court, Kathryn, White, Nikki, Favager, Clair, Holliday, Kyra, Harwood, Jayne, Payne, Brendan, Burns, Karen, Fothergill, Lynda, Arenas-Pinto, Alejandro, Severn, Abigail, Brown, Kerryanne, Gray, Katherine, Dare, Jane, Zheng, Qi, Hollinshead, Kathryn, Shorten, Robert, Roebuck, Alun, Holmes, Christopher, Wiselka, Martin, Faris, Barzo, Marsh, Liane, McAdam, Clare, Ditchfield, Lisa, Qazzafi, Zaman, Boyd, G., Wong, N., Brand, Sarah, Squires, Jack, Ashcroft, John, Rosario, Ismaelette Del, Howard, Joanne, Ward, Emma, Harrison, Gemma, Morgan, Joely, Corless, Claire, Penn, Ruth, Wong, Nick, Bagary, Manny, Starkova, Nadezda, Beekes, Mandy, Carnahan, Mandy, Khan, Shivani, Mackay, Shekoo, Lewis, Keneisha, Pickard, Graham, Dawson, Joy, Finlayson, Lauren, Cameron, Euan, Todd, Anne, Fagegaltier, Sebastien, Mavin, Sally, Cochrane, Alexandra, Gibson, Andrew, Donaldson, Sam, Templeton, Kate, Malcolm, Martin, Smith, Beth, Dhasmana, Devesh, Fowler, Susan, Ho, Antonia, Murphy, Michael, Beith, Claire, Patel, Manish, Boyd, Elizabeth, Irvine, Val, Grant, Alison, Temple-Purcell, Rebecca, Loughrey, Clodagh, Hanna, Elinor, Johnston, Frances, Boulos, Angel, Thompson, Fiona, Protaschik, Yuri, Regan, Susan, Donaghy, Tracy, O'Kane, Maurice, Akinbami, Omolola, Barbero, Paola, Brooks, Tim, Chand, Meera, Insalata, Ferdinando, Joshi, Palak, O'Connell, Anne-Marie, Ramsay, Mary, Saei, Ayoub, Zambon, Maria, Linley, Ezra, Tonge, Simon, Adaji, Enemona, Adebiyi, Omoyeni, Andrews, Nick, Conneely, Joanna, Conneely, Paul, Dunne, Angela, Dyer, Simone, Emmett, Hannah, Hettiarachchi, Nipunadi, Kapirial, Nishanthan, Khawam, Jameel, Monk, Edward, Russell, Sophie, Taylor-Kerr, Andrew, Timeyin, Jean, D'Arcangelo, Silvia, Rowe, Cathy, Semper, Amanda, Gallagher, Eileen, Kyffin, Robert, Cromey, Lisa, Areghan, Desmond, Bishop, Jennifer, Dembinsky, Melanie, Dobbie, Laura, Evans, Josie, Goldberg, David, Haahr, Lynne, Jorgenson, Annelysse, Matuluko, Ayodeji, Naismith, Laura, Nuryunarsih, Desy, Olaoye, Alexander, Plank, Caitlin, Price, Lesley, Sergenson, Nicole, Stewart, Sally, Telfer, Andrew, Weir, Jennifer, De Lacy, Ellen, Ellis, Yvette, Froude, Susannah, Stevens, Guy, Tyson, Linda, Dunachie, Susanna, Klenerman, Paul, Duncan, Chris, Payne, Rebecca, Turtle, Lance, Richter, Alex, De Silva, Thushan, Barnes, Eleanor, Wootton, Daniel, Galgut, Oliver, Heeney, Jonathan, Baxendale, Helen, Castillo-Olivares, Javier, Beale, Rupert, Carr, Edward, Barclay, Wendy, Moshe, Maya, Palmarini, Massimo, Willett, Brian, Baillie, John Kenneth, Evans, Jennie, Aquino, Erika, Kirwan, Peter D., Hall, Victoria J., Foulkes, Sarah, Otter, Ashley D., Munro, Katie, Sparkes, Dominic, Howells, Anna, Platt, Naomi, Broad, Jonathan, Crossman, David, Norman, Chris, Corrigan, Diane, Jackson, Christopher H., Cole, Michelle, Brown, Colin S., Atti, Ana, Islam, Jasmin, Presanis, Anne M., Charlett, Andre, De Angelis, Daniela, Hopkins, Susan

Publikováno v: In The Lancet Regional Health - Europe January 2024 36

Analysing Multiple Epidemic Data Sources

Autor: De Angelis, Daniela, Presanis, Anne M.

Evidence-based knowledge of infectious disease burden, including prevalence, incidence, severity and transmission, in different population strata and locations, and possibly in real time, is crucial to the planning and evaluation of public health pol

Externí odkaz: http://arxiv.org/abs/1808.04312