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Effect of Implementation of the Lockdown on the Number of COVID-19 Deaths in Four European Countries

Published online by Cambridge University Press:  04 November 2020

Raffaele Palladino
Affiliation:
Department of Public Health, University “Federico II” of Naples, Italy Department of Primary Care and Public Health, Imperial College, London, UK CIRMIS – Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare, University “Federico II” of Naples, Italy
Jordy Bollon
Affiliation:
Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
Luca Ragazzoni
Affiliation:
Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy CRIMEDIM – Research Center in Emergency and Disaster Medicine, Università del Piemonte Orientale, Novara, Italy
Francesco Barone-Adesi*
Affiliation:
Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy CRIMEDIM – Research Center in Emergency and Disaster Medicine, Università del Piemonte Orientale, Novara, Italy
*
Corresponding author: Francesco Barone-Adesi, Email: [email protected].
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Abstract

Type
Letter to the Editor
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© Society for Disaster Medicine and Public Health, Inc. 2020

The coronavirus disease (COVID-19) epidemic has rapidly evolved into a global health emergency.1 However, there has been a substantial heterogeneity in timing and magnitude of the public health response to the pandemic among different countries.1Reference Palladino, Bollon, Ragazzoni and Barone-Adesi4 A key factor in explaining why China was successful in curbing the epidemic is that the government implemented containment measures in the Hubei Province in the very early phase of the epidemic.Reference Li, Romagnani, von Brunn and Anders2 On the contrary, Europe has been slower in responding to the emergency. In France, Italy, Spain, and the UK, the 4 European countries that have been impacted the most by the COVID-19 emergency, lockdown was enforced 13 to 16 days after Hubei’s, when normalizing for the time when the outbreak hit 50 cases in all countries.Reference Li, Romagnani, von Brunn and Anders2 This prompts the question of how many COVID-19 deaths could have been avoided during the early phase of the pandemic if containment measures in European countries had aligned with China’s lockdown.

We modeled the daily number of COVID-19 deaths in France, Italy, Spain, and the UK from January 23 to August 15. Data were downloaded from the COVID-19 Data Repository.1 The time-series included a small amount of days in which the number of deaths was negative. We considered these figures as missing values and replaced them, interpolating the number of deaths recorded in the previous and in the following day. We estimated the effect of the national lockdown implementing an Interrupted Time Series analysis.Reference Bernal, Cummins and Gasparrini5 Specifically, for each country, we modeled the time-series of daily deaths (Yt) using the following quasi-Poisson regression model:

$${\rm{log}}*({{\rm{Y}}_{\rm{t}}}) = {\rm{\alpha }} + {{\rm{\beta }}_1}{\rm{T}} + {{\rm{\beta }}_2}{{\rm{T}}_2} + {{\rm{e}}_{\rm{t}}}$$

where T is the time elapsed since the start of the observation period (January 23); T2 is the time elapsed since the implementation of the lockdown (set to 0 before the lockdown); Yt is the number of new deaths at time T; α is the intercept of the model; β1 represents the trend of new cases before the lockdown; β2 is the slope change following the lockdown; and et is the error term of the model.

To take into account the COVID-19 incubation period and the mean time between the symptoms onset and death, we assumed an 18-day lag between the national implementation of the lockdown and the start of its effects.Reference Zhou, Yu and Du6 Then, we created 4 separate counterfactual scenarios by predicting the daily number of deaths that would have been observed in the 4 countries if the lockdown had been implemented at the same time as Hubei’s (3 days after the outbreak hit 50 cases). This timing would correspond to the following dates: February 25 for Italy, March 2 for France, March 3 for Spain, and March 6 for the UK. Finally, we estimated the relative change in the number of total deaths in the counterfactual scenario, compared to the observed one. All the analyses were performed using R software (R Foundation for Statistical Computing, Vienna, Austria).

Figures 1 and 2 display the daily and total number of deaths in the 4 countries. As of August 15, there were 31 174, 35 449, 30 731, and 41 361 deaths in France, Italy, Spain, and the UK, respectively. If an early lockdown had been implemented, the death toll would have been 2461 (95% CI: 1440 to 4272), 6769 (95% CI: 5652 to 8135), 6792 (95% CI: 4154 to 11 525), and 4071 (95% CI: 3281 to 5067), corresponding to a 92% (95% CI: 86% to 95%), 81% (95% CI: 77% to 84%), 78% (95% CI: 62% to 86%), and 90% (95% CI: 88% to 92%) relative reduction, as compared with observed data.

Figure 1. Observed (gray points), fitted (black line), and predicted (dashed line) number of new deaths in France, Italy, Spain, and the UK, assuming an early implementation of the national lockdown (3 days after the outbreak hit 50 cases in each country). Observed points were averaged over 3 days.

Figure 2. Observed (gray points), fitted (black line), and predicted (dashed line) total number of deaths in France, Italy, Spain, and the UK, assuming an early implementation of the national lockdown.

We found that a more rapid and homogeneous response would have avoided a substantial number of deaths. Our results underline the need of strengthening public health emergency preparedness at national and global levels. Currently, no health care system can sustain an uncontrolled epidemic of COVID-19 or similar disease. Community containment measures are still the most important interventions to minimize the health impact of a possible second wave of infections, avoiding the unnecessary loss of lives.

Data Availability Statement

The data underlying this article are publicly available from the COVID-19 Data Repository at: https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series.

Author Contributions

RP, JB, and FBA conceived and designed the study; JB and FBA analyzed the data; RP, JB, LR, and FBA wrote the paper; and all authors approved the final version of the manuscript.

Conflict(s) of Interest

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this paper.

Ethical Standards

The study was based on publicly available aggregate data. No ethics committee approval was necessary.

References

GitHub. Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository. 2020. https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series. Accessed August 20, 2020.Google Scholar
Li, C, Romagnani, P, von Brunn, A, Anders, HJ. SARS-CoV-2 and Europe: timing of containment measures for outbreak control. Infection. 2020;48:483-486.CrossRefGoogle ScholarPubMed
Blavatnik School of Government, University of Oxford. Coronavirus government response tracker. 2020. https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker. Accessed August 1, 2020.Google Scholar
Palladino, R, Bollon, J, Ragazzoni, L, Barone-Adesi, F. Excess deaths and hospital admissions for COVID-19 due to a late implementation of the lockdown in Italy. Int J Environ Res Public Health. 2020;17:epub, doi: 10.3390/ijerph17165644.Google ScholarPubMed
Bernal, JL, Cummins, S, Gasparrini, A. Interrupted time series regression for the evaluation of public health interventions: a tutorial. Int J Epidemiol. 2017;46:348-355.Google ScholarPubMed
Zhou, F, Yu, T, Du, R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054-1062.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Observed (gray points), fitted (black line), and predicted (dashed line) number of new deaths in France, Italy, Spain, and the UK, assuming an early implementation of the national lockdown (3 days after the outbreak hit 50 cases in each country). Observed points were averaged over 3 days.

Figure 1

Figure 2. Observed (gray points), fitted (black line), and predicted (dashed line) total number of deaths in France, Italy, Spain, and the UK, assuming an early implementation of the national lockdown.