Visualizing secretion and synaptic transmission with pH-sensitive green fluorescent proteins. by Miesenböck, G, De Angelis, D, Rothman, J

PRIM: proximity imaging of green fluorescent protein-tagged polypeptides. by De Angelis, D, Miesenböck, G, Zemelman, B, Rothman, J

A Systematic Review on Low-Level Laser Therapy in the Management of Shoulder Impingement Syndrome by Marco Castaldo, Andrea De Angelis D’Ossat, Pablo Gnessi, Giovanni Galeoto

Get full text

Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics by Morone G, Paolucci S, Cherubini A, De Angelis D, Venturiero V, Coiro P, Iosa M

Get full text

Estimating age-stratified influenza-associated invasive pneumococcal disease in England: a time-series model based on population surveillance data by Chiavenna, C, Presanis, AM, Charlett, A, De Lusignan, S, Ladhani, S, Pebody, RG, De Angelis, D

Reconstructing transmission trees for communicable diseases using densely sampled genetic data by Worby, C, O'Neill, P, Kypraios, T, Robotham, J, De Angelis, D, Cartwright, E, Peacock, S, Cooper, B

Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry by Hayes, S, MCabe, R, De Angelis, D, Donnelly, CA, Evans, SJW, Medley, GF, Spiegelhalter, DJ, Bird, SM

Estimating the effectiveness of isolation and decolonization measures in reducing transmission of methicillin-resistant Staphylococcus aureus in hospital general wards. by Worby, C, Jeyaratnam, D, Robotham, J, Kypraios, T, O'Neill, P, De Angelis, D, French, G, Cooper, B

The severity of pandemic H1N1 influenza in the United States, April - July 2009 by Presanis, A, De Angelis, D, Hagy, A, Reed, C, Riley, S, Cooper, B, Finelli, L, Biedrzycki, P, Lipsitch, M

The severity of pandemic H1N1 influenza in the United States, from April to July 2009: A Bayesian Analysis by Presanis, A, De Angelis, D, Hagy, A, Reed, C, Riley, S, Cooper, B, Finelli, L, Biedrzycki, P, Lipsitch, M

Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in London. by Birrell, P, Ketsetzis, G, Gay, N, Cooper, B, Presanis, A, Harris, R, Charlett, A, Zhang, X, White, P, Pebody, R, De Angelis, D

Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration by Birrell, PJ, Blake, J, Kandiah, J, Alexopoulos, A, van Leeuwen, E, Pouwels, K, Ghosh, S, Starr, C, Walker, AS, House, T, Gay, N, Finnie, T, Gent, N, Charlett, A, De Angelis, D

The UK's pandemic influenza research portfolio: A model for future research on emerging infections by Simpson, CR, Beever, D, Challen, K, De Angelis, D, Fragaszy, E, Goodacre, S, Hayward, A, Lim, W, Rubin, J, Semple, MG, Knight, M, on behalf of the NIHR hibernated influenza studies collaborative group

Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study by Birrell, PJ, Zhang, X-S, Corbella, A, van Leeuwen, E, Panagiotopoulos, N, Hoschler, K, Elliot, AJ, McGee, M, de Lusignan, S, Presanis, AM, Baguelin, M, Zambon, M, Charlett, A, Pebody, RG, De Angelis, D

Combining models to generate consensus medium-term projections of hospital admissions, occupancy and deaths relating to COVID-19 in England by Manley, H, Bayley, T, Danelian, G, Burton, L, Finnie, T, Charlett, A, Watkins, NA, Birrell, P, De Angelis, D, Keeling, M, Funk, S, Medley, G, Pellis, L, Baguelin, M, Ackland, GJ, Hutchinson, J, Riley, S, Panovska-Griffiths, J

Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling by Swallow, B, Birrell, P, Blake, J, Burgman, M, Challenor, P, Coffeng, LE, Dawid, P, De Angelis, D, Goldstein, M, Hemming, V, Marion, G, McKinley, TJ, Overton, CE, Panovska-Griffiths, J, Pellis, L, Probert, W, Shea, K, Villela, D, Vernon, I

SARS-CoV-2, influenza A/B and respiratory syncytial virus positivity and association with influenza-like illness and self-reported symptoms, over the 2022/23 winter season in the U... by Dietz, E, Pritchard, E, Pouwels, K, Ehsaan, M, Blake, J, Gaughan, C, Haduli, E, Boothe, H, Vihta, K-D, Peto, T, Stoesser, N, Matthews, P, Taylor, N, Diamond, I, Studley, R, Rourke, E, Birrell, P, De Angelis, D, Fowler, T, Watson, C, Eyre, D, House, T, Walker, AS

Time from HIV-1 seroconversion to AIDS and death before widespread use of highly-active antiretroviral therapy: a collaborative re-analysis. Collaborative Group on AIDS Incubation... by Babiker, A, Darby, S, De Angelis, D, Kwart, D, Porter, K, Beral, V, Darbyshire, J, Day, N, Gill, N, Coutinho, R, Prins, M, van Benthem, B, Coutinho, R, Dabis, F, Marimoutou, C, Ruiz, I, Tusell, J, Altisent, C, Evatt, B, Jaffe, H, Kirk, O, Pedersen, C, Rosenberg, P, Goedert, J, Biggar, R

Superspreaders drive the largest outbreaks of hospital onset COVID-19 infections by Illingworth, CJ, Hamilton, WL, Warne, B, Routledge, M, Popay, A, Jackson, C, Fieldman, T, Meredith, LW, Houldcroft, CJ, Hosmillo, M, Jahun, AS, Caller, LG, Caddy, SL, Yakovleva, A, Hall, G, Khokhar, FA, Feltwell, T, Pinckert, ML, Georgana, I, Chaudhry, Y, Curran, MD, Parmar, S, Sparkes, D, Rivett, L, Jones, NK, Sridhar, S, Forrest, S, Dymond, T, Grainger, K, Workman, C, Ferris, M, Gkrania-Klotsas, E, Brown, NM, Weekes, MP, Baker, S, Peacock, SJ, Goodfellow, IG, Gouliouris, T, de Angelis, D, Török, ME

Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK by Docherty, AB, Mulholland, RH, Lone, NI, Cheyne, CP, De Angelis, D, Diaz-Ordaz, K, Donegan, C, Drake, TM, Dunning, J, Funk, S, García-Fiñana, M, Girvan, M, Hardwick, HE, Harrison, J, Ho, A, Hughes, DM, Keogh, RH, Kirwan, PD, Leeming, G, Nguyen Van-Tam, JS, Pius, R, Russell, CD, Spencer, RG, Tom, BDM, Turtle, L, Openshaw, PJM, Baillie, JK, Harrison, EM, Semple, MG, Baillie, JK, Semple, MG, Openshaw, PJM, Carson, G, Alex, B, Bach, B, Barclay, WS, Bogaert, D, Chand, M, Cooke, GS, Docherty, AB, da Silva Filipe, A, Fletcher, T, Green, CA, Harrison, EM, Hiscox, JA, Ho, AYW, Horby, PW, Ijaz, S, Khoo, S