REVIEW
Dynamics and logic of COVID-19 containment measures
1 European University at Saint Petersburg, Saint Petersburg, Russia
2 Petrov National Medical Research Center of Oncology, Saint Petersburg, Russia
Correspondence should be addressed: Anton A. Barchuk
Gagarinskaya, 6/1, Saint Petersburg, 191187; ur.bps.ue@kuhcraba
Author contribution: Barchuk AA, Raskina YuV conceived the article; Raskina YuV, Novkunskaya AA wrote the manuscript; Raskina YuV prepared figures and tables. All authors contributed equally to the final version of the manuscript.
- WHO. WHO Director-General’s opening remarks at the media briefing on COVID-19-11, March 2020. World Health Organization. Available from: https://www.who.int/dg/speeches/ detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020.
- WHO. Non-pharmaceutical public health measures for mitigating the risk and impact of epidemic and pandemic influenza: annex: report of systematic literature reviews. World Health Organization. Available from: https://apps.who.int/iris/handle/10665/329439.
- WHO. Calibrating long-term non-pharmaceutical interventions for COVID-19: principles and facilitation tools. Manila: WHO Regional Office for the Western Pacific. Available from: https://apps.who. int/iris/handle/10665/332099.
- WHO. Overview of public health and social measures in the context of COVID-19: interim guidance, 18 May 2020. World Health Organization. Available from: https://apps.who.int/iris/ handle/10665/331773.
- WHO. Tracking Public Health and Social Measures. A global database of public health and social measures applied during the COVID-19 pandemic. Available from: https://www.who.int/ emergencies/diseases/novel-coronavirus-2019/phsm (2020, accessed 26 July 2020).
- Kilbourne ED. Influenza pandemics of the 20th century. Emerging infectious diseases 2006; 12: 9.
- Peiris JM, Tu W, Yen H. A novel H1N1 virus causes the first pandemic of the 21st century. European journal of immunology. 2009; 39: 2946–54.
- Mahase E. Coronavirus: covid-19 has killed more people than SARS and MERS combined, despite lower case fatality rate. BMJ; 368. Epub ahead of print 18 February 2020. DOI: 10.1136/ bmj.m641.
- WHO. Pandemic influenza severity assessment (PISA): a WHO guide to assess the severity of influenza in seasonal epidemics and pandemics. World Health Organization, 2017.
- WHO. Infection prevention and control during health care for probable or confirmed cases of Middle East respiratory syndrome coronavirus (MERS-CoV) infection: interim guidance: updated October 2019. World Health Organization, 2019.
- He X, Lau EH, Wu P, et al. Temporal dynamics in viral shedding and transmissibility of COVID-19. Nature medicine. 2020; 26: 672–5.
- Koo JR, Cook AR, Park M, et al. Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study. The Lancet Infectious Diseases. 2020; 20: 678–88.
- European Centre for Disease Prevention and Control. Use of gloves in healthcare and non-healthcare settings in the context of the COVID-19 pandemic. Stockholm: ECDC, 2020.
- WHO Public health and social measures (WHO PHSM). Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/phsm.
- COVID-19 Government Measures Dataset. Available from: https:// www.acaps.org/covid-19-government-measures-dataset.
- The Oxford COVID-19 Government Response Tracker (OxCGRT). Available from: https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker.
- Hale T, Petherick A, Phillips T, et al. Variation in government responses to COVID-19. Blavatnik school of government working paper; 31.
- Lunn PD, Belton CA, Lavin C, et al. Using Behavioral Science to help fight the Coronavirus. Journal of Behavioral Public Administration; 3.
- Brooks SK, Webster RK, Smith LE, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. The Lancet. 2020; 395: 10227: P912-920. DOI: 10.1016/S0140- 6736(20)30460-8.
- WHO Europe. Considerations in adjusting public health and social measures in the context of COVID-19: interim guidance, 12 May 2020. World Health Organization, 2020.
- Oliver N, Lepri B, Sterly H, et al. Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances. 2020; 6: eabc0764.
- Jarvis CI, Van Zandvoort K, Gimma A, et al. Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK. BMC medicine. 2020; 18: 1–10.
- Ienca M, Vayena E. On the responsible use of digital data to tackle the COVID-19 pandemic. Nature medicine. 2020; 26: 463–4.
- Gupta S, Nguyen TD, Rojas FL, et al. Tracking Public and Private Responses to the COVID-19 Epidemic: Evidence from State and Local Government Actions. Working Paper 27027, National Bureau of Economic Research. Epub ahead of print April 2020. DOI: 10.3386/w27027.
- Ferretti L, Wymant C, Kendall M, et al. Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science. 2020; 368: eabb6936. DOI: 10.1126/science. abb6936.
- Raskar R, Schunemann I, Barbar R, et al. Apps gone rogue: Maintaining personal privacy in an epidemic. arXiv preprint arXiv:200308567.
- eHealth Network. Mobile applications to support contact tracing in the EU’s fight against COVID-19: Common EU Toolbox for Member States. Available from: https://ec.europa.eu/health/sites/ health/files/ehealth/docs/covid-19_apps_en.pdf.
- Prem K, Liu Y, Russell TW, et al. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study. The Lancet Public Health. 2020; 5: e261–e270.
- Fenichel EP, Castillo-Chavez C, Ceddia MG, et al. Adaptive human behavior in epidemiological models. Proceedings of the National Academy of Sciences. 2011; 108: 6306–11.
- Alvarez FE, Argente D, Lippi F. A simple planning problem for covid-19 lockdown. National Bureau of Economic Research, 2020.
- Demirguc-Kunt A, Lokshin M, Torre I. The sooner, the better: The early economic impact of non-pharmaceutical interventions during the COVID-19 pandemic. World Bank Policy Research Working Paper.
- Farboodi M, Jarosch G, Shimer R. Internal and external effects of social distancing in a pandemic. National Bureau of Economic Research, 2020.
- Jones CJ, Philippon T, Venkateswaran V. Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home. Working Paper 26984, National Bureau of Economic Research. Epub ahead of print April 2020. DOI: 10.3386/w26984.
- Flaxman S, Mishra S, Gandy A, et al. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature. 2020; 1–5.
- Berger DW, Herkenhoff KF, Mongey S. An SEIR infectious disease model with testing and conditional quarantine. National Bureau of Economic Research, 2020.
- Brotherhood L, Kircher P, Santos C, et al. An Economic Model of the Covid-19 Epidemic: The Importance of Testing and Age- Specific Policies. SSRN Scholarly Paper ID 3618840, Rochester, NY: Social Science Research Network, 2020. Available from: https://papers.ssrn.com/abstract=3618840.
- Eichenbaum MS, Rebelo S, Trabandt M. The Macroeconomics of Testing and Quarantining. National Bureau of Economic Research, 2020.
- Acemoglu D, Chernozhukov V, Werning I, et al. A multi-risk SIR model with optimally targeted lockdown. National Bureau of Economic Research, 2020.
- Baqaee D, Farhi E, Mina MJ, et al. Reopening Scenarios. Working Paper 27244, National Bureau of Economic Research. Epub ahead of print May 2020. DOI: 10.3386/w27244.
- Glover A, Heathcote J, Krueger D, et al. Health versus wealth: On the distributional effects of controlling a pandemic. National Bureau of Economic Research, 2020.