References
- Birrell, P., Blake, J., Van Leeuwen, E., Gent, N., & De Angelis, D. (2021). Real-time nowcasting and forecasting of COVID-19 dynamics in England: The first wave. Philosophical Transactions of the Royal Society B, 376(1829), 20200279. https://doi.org/https://doi.org/10.1098/rstb.2020.0279
- Birrell, P. J., Zhang, X. S., Corbella, A., van Leeuwen, E., Panagiotopoulos, N., Hoschler, K., Baguelin, M., McGee, M., Lusignan, S. D., Presanis, A. M., Baguelin, M., Zambon, M., Charlett, A., Pebody, R. G., & Angelis, D. D. (2020). Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: A case study. BMC Public Health, 20(1), 1–11. https://doi.org/https://doi.org/10.1186/s12889-020-8455-9
- BMJ (2020a). Covid-19: Waiting times in England reach record highs. https://doi.org/https://doi.org/10.1136/bmj.m3557
- BMJ (2020b). Covid-19: Deaths in the community approach 20 000 in the UK. https://doi.org/https://doi.org/10.1136/bmj.m2449
- BMJ (2020c). Covid-19: Hong Kong scientists report first confirmed case of reinfection. https://doi.org/https://doi.org/10.1136/bmj.m3340
- Booton, R. D., MacGregor, L., Vass, L., Looker, K. J., Hyams, C., Bright, P. D., Harding, I., Lazarus, R., Hamilton, F., Lawson, D., Danon, L., Pratt, A., Wood, R., Brooks-Pollock, E., & Turner, K. M. (2021). Estimating the COVID-19 epidemic trajectory and hospital capacity requirements in South West England: A mathematical modelling framework. BMJ Open, 11(1), e041536. https://doi.org/http://dx.doi.org/10.1136/bmjopen-2020-041536
- Campillo-Funollet, E., Van Yperen, J., Allman, P., Bell, M., Beresford, W., Clay, J., … Memon, A. (2020). Predicting and forecasting the impact of local resurgence and outbreaks of COVID-19: Use of SEIR-D quantitative epidemiological modelling for healthcare demand and capacity. medRxiv. https://doi.org/https://doi.org/10.1101/2020.07.29.20164566
- Carlson, C. J., Gomez, A. C., Bansal, S., & Ryan, S. J. (2020). Misconceptions about weather and seasonality must not misguide COVID-19 response. Nature Communications, 11(1), 1–4. https://doi.org/https://doi.org/10.1038/s41467-020-18150-z
- Carter, P., Anderson, M., & Mossialos, E. (2020). Health system, public health, and economic implications of managing COVID-19 from a cardiovascular perspective. European Heart Journal, 41(27), 2516–2518. https://doi.org/https://doi.org/10.1093/eurheartj/ehaa342
- Castellani, B., & Caiado, C. (2020). Coronavirus: Why we need local models to successfully exit lockdown. The Conversation. The Conversation Media Group Ltd. https://theconversation.com/coronavirus-why-we-need-local-models-to-successfully-exit-lockdown-138358
- Elliott, J. A., Kenyon, R., Kelliher, G., Gillis, A. E., Tierney, S., & Ridgway, P. F. (2020). Nosocomial SARS‐CoV‐2 transmission in postoperative infection and mortality: Analysis of 14 798 procedures. British Journal of Surgery, 107(13), 1708. https://doi.org/https://doi.org/10.1002/bjs.12053
- Ferguson, N., Laydon, D., Nedjati-Gilani, G., Imai, N., Ainslie, K., Baguelin, M., … Dighe, A. (2020). Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. Imperial College London, 10, 77482. https://doi.org/https://doi.org/10.25561/77482
- Fisher, E., & Dorning, H. (2016). Winter pressures: What’s going on behind the scenes. The Nuffield Trust, 218. https://www.nuffieldtrust.org.uk/files/2018-10/1540144602_qualitywatch-winter-pressures.pdf
- Flaxman, S., Mishra, S., Gandy, A., Unwin, H. J. T., Mellan, T. A., Coupland, H., Monod, M., Berah, T., Eaton, J. W., Monod, M., Perez-Guzman, P. N., Schmit, N., Cilloni, L., Ainslie, K. E. C., Baguelin, M., Boonyasiri, A., Boyd, O., Cattarino, L., Cooper, L. V., Bhatt, S., & Whittaker, C. (2020). Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature, 584(7820), 257–261. https://doi.org/https://doi.org/10.1038/s41586-020-2405-7
- Garnett, G. P., Cousens, S., Hallett, T. B., Steketee, R., & Walker, N. (2011). Mathematical models in the evaluation of health programmes. The Lancet, 378(9790), 515–525. https://doi.org/https://doi.org/10.1016/S0140-6736(10)61505-X
- Holmdahl, I., & Buckee, C. (2020). Wrong but useful—what covid-19 epidemiologic models can and cannot tell us. New England Journal of Medicine, 383(4), 303–305. https://doi.org/https://doi.org/10.1056/NEJMp2016822
- Jarvis, C. I., Van Zandvoort, K., Gimma, A., Prem, K., Klepac, P., Rubin, G. J., & Edmunds, W. J. (2020). Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK. BMC Medicine, 18(1), 1–10. https://doi.org/https://doi.org/10.1186/s12916-020-01597-8
- Jordan, R. E., Adab, P., & Cheng, K. K. (2020). Covid-19: Risk factors for severe disease and death. The BMJ. https://doi.org/https://doi.org/10.1136/bmj.m1198
- Kermack, W. O., & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the royal society of london. A Containing Papers of a Mathematical and Physical Character, 115(772), 700–721. https://doi.org/https://doi.org/10.1098/rspa.1927.0118
- Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020). The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: Estimation and application. Annals of Internal Medicine, 172(9), 577–582. https://doi.org/https://doi.org/10.7326/M20-0504
- Li, M. Y., & Muldowney, J. S. (1995). Global stability for the SEIR model in epidemiology. Mathematical Biosciences, 125(2), 155–164. https://doi.org/https://doi.org/10.1016/0025-5564(95)92756-5
- Macdonald, N., Clements, C., Sobti, A., Rossiter, D., Unnithan, A., & Bosanquet, N. (2020). The building backlog of NHS elective cases post Covid‐19. The British Journal of Surgery, 107(10), e377–e378. https://doi.org/https://doi.org/10.1002/bjs.11817
- Mizumoto, K., Kagaya, K., Zarebski, A., & Chowell, G. (2020). Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020. Eurosurveillance, 25(10), 2000180. https://doi.org/https://doi.org/10.2807/1560-7917.ES.2020.25.10.2000180
- Mossong, J., Hens, N., Jit, M., Beutels, P., Auranen, K., Mikolajczyk, R., Heijne, J., Tomba, G. S., Wallinga, J., Heijne, J., Sadkowska-Todys, M., Rosinska, M., Edmunds, W. J., & Massari, M. (2008). Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med, 5(3), e74. https://doi.org/https://doi.org/10.1371/journal.pmed.0050074
- Nacoti, M., Ciocca, A., Giupponi, A., Brambillasca, P., Lussana, F., Pisano, M., … Longhi, L. (2020). At the epicenter of the Covid-19 pandemic and humanitarian crises in Italy: Changing perspectives on preparation and mitigation. NEJM Catalyst Innovations in Care Delivery, 1(2). https://doi.org/https://doi.org/10.1056/CAT.20.0080
- National Health Service (2020). Letter to NHS trusts: “Important and urgent – Next steps on NHS response to COVID-19”. National Health Service England. https://www.england.nhs.uk/coronavirus/wp-content/uploads/sites/52/2020/03/urgent-next-steps-on-nhs-response-to-covid-19-letter-simon-stevens.pdf
- Petrova, V. N., & Russell, C. A. (2018). The evolution of seasonal influenza viruses. Nature Reviews Microbiology, 16(1), 47. https://doi.org/https://doi.org/10.1038/nrmicro.2017.118
- Renardy, M., Eisenberg, M., & Kirschner, D. (2020). Predicting the second wave of COVID-19 in Washtenaw County, MI. Journal of Theoretical Biology, 507, 110461. https://doi.org/https://doi.org/10.1016/j.jtbi.2020.110461
- Rosenbaum, L. (2020). Facing Covid-19 in Italy—ethics, logistics, and therapeutics on the epidemic’s front line. New England Journal of Medicine, 382(20), 1873–1875. https://doi.org/https://doi.org/10.1056/NEJMp2005492
- Rutter, H., Wolpert, M., & Greenhalgh, T. (2020). Managing uncertainty in the covid-19 era. bmj, 370. https://doi.org/https://doi.org/10.1136/bmj.m3349
- Saltelli, A., Bammer, G., Bruno, I., Charters, E., Di Fiore, M., Didier, E., … Vineis, P. (2020). Five ways to ensure that models serve society: A manifesto. Nature. https://doi.org/https://doi.org/10.1038/d41586-020-01812-9.
- Silal, S. P., Little, F., Barnes, K. I., & White, L. J. (2016). Sensitivity to model structure: A comparison of compartmental models in epidemiology. Health Systems, 5(3), 178–191. https://doi.org/https://doi.org/10.1057/hs.2015.2
- Turk, P. J., Chou, S. H., Kowalkowski, M. A., Palmer, P. P., Priem, J. S., Spencer, M. D., Taylor, Y. J., & McWilliams, A. D. (2020). Modeling COVID-19 latent prevalence to assess a public health intervention at a state and regional scale: retrospective cohort study. JMIR Public Health and Surveillance, 6(2), e19353. https://doi.org/https://doi.org/10.2196/19353
- UK Government (2020a). Prime minister’s statement on coronavirus (COVID-19): 23 March 2020. https://www.gov.uk/government/speeches/pm-address-to-the-nation-on-coronavirus-23-march-2020
- UK Government (2020b). Prime minister’s statement on coronavirus (COVID-19): 10 May 2020. https://www.gov.uk/government/speeches/pm-address-to-the-nation-on-coronavirus-10-may-2020
- UK Government (2020c). Prime minister’s statement to the house on COVID-19: 23 June 2020. https://www.gov.uk/government/speeches/prime-ministers-statement-to-the-house-on-covid-19-23-june-2020
- UK Government (2020d). Face coverings to be mandatory in shops and supermarkets from 24 July. https://www.gov.uk/government/speeches/face-coverings-to-be-mandatory-in-shops-and-supermarkets-from-24-july
- UK Government (2020e). Education secretary’s statement on coronavirus (COVID-19): 02 July 2020. https://www.gov.uk/government/speeches/education-secretarys-statement-on-coronavirus-covid-19-02-july-2020
- UK Government (2020f). Plans for managing the coronavirus (COVID-19) outbreak in leicester. https://www.gov.uk/government/speeches/local-action-to-tackle-coronavirus
- Verhagen, M. D., Brazel, D. M., Dowd, J. B., Kashnitsky, I., & Mills, M. C. (2020). Forecasting spatial, socioeconomic and demographic variation in COVID-19 health care demand in England and Wales. BMC Medicine, 18(1), 1–11. https://doi.org/https://doi.org/10.1186/s12916-020-01646-2
- Wood, R. M., McWilliams, C. J., Thomas, M. J., Bourdeaux, C. P., & Vasilakis, C. (2020). COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care. Health Care Management Science, 23(3), 315–324. https://doi.org/https://doi.org/10.1007/s10729-020-09511-7
- Wood, R. M., Pratt, A. C., Kenward, C., McWilliams, C. J., Booton, R. D., Thomas, M. J., Bourdeaux, C. P., & Vasilakis, C. (2021). The value of triage during periods of intense COVID-19 demand: simulation modeling study. Medical Decision Making, 41(4), 393–407. https://doi.org/https://doi.org/10.1177/0272989X21994035
- World Health Organisation (2020). WHO director-general’s opening remarks at the media briefing on COVID-19-11 march 2020. https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—11-march-2020
- Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., … Schuit, E. (2020). Prediction models for diagnosis and prognosis of covid-19 infection: Systematic review and critical appraisal. bmj, 369. https://doi.org/https://doi.org/10.1136/bmj.m1328