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      Assessing the effect of non-pharmaceutical interventions on COVID-19 transmission in Spain, 30 August 2020 to 31 January 2021

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          Abstract

          Background

          After a national lockdown during the first wave of the COVID-19 pandemic in Spain, regional governments implemented different non-pharmaceutical interventions (NPIs) during the second wave.

          Aim

          To analyse which implemented NPIs significantly impacted effective reproduction number (R t) in seven Spanish provinces during 30 August 2020–31 January 2021.

          Methods

          We coded each NPI and levels of stringency with a ‘severity index’ (SI) and computed a global SI (mean of SIs per six included interventions). We performed a Bayesian change point analysis on the R t curve of each province to identify possible associations with global SI variations. We fitted and compared several generalised additive models using multimodel inference, to quantify the statistical effect on R t of the global SI (stringency) and the individual SIs (separate effect of NPIs).

          Results

          The global SI had a significant lowering effect on the R t (mean: 0.16 ± 0.05 units for full stringency). Mandatory closing times for non-essential businesses, limited gatherings, and restricted outdoors seating capacities (negative) as well as curfews (positive) were the only NPIs with a significant effect. Regional mobility restrictions and limited indoors seating capacity showed no effect. Our results were consistent with a 1- to 3-week-delayed R t as a response variable.

          Conclusion

          While response measures implemented during the second COVID-19 wave contributed substantially to a decreased reproduction number, the effectiveness of measures varied considerably. Our findings should be considered for future interventions, as social and economic consequences could be minimised by considering only measures proven effective.

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          Most cited references26

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          A new look at the statistical model identification

          IEEE Transactions on Automatic Control, 19(6), 716-723
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            A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

            COVID-19 has prompted unprecedented government action around the world. We introduce the Oxford COVID-19 Government Response Tracker (OxCGRT), a dataset that addresses the need for continuously updated, readily usable and comparable information on policy measures. From 1 January 2020, the data capture government policies related to closure and containment, health and economic policy for more than 180 countries, plus several countries' subnational jurisdictions. Policy responses are recorded on ordinal or continuous scales for 19 policy areas, capturing variation in degree of response. We present two motivating applications of the data, highlighting patterns in the timing of policy adoption and subsequent policy easing and reimposition, and illustrating how the data can be combined with behavioural and epidemiological indicators. This database enables researchers and policymakers to explore the empirical effects of policy responses on the spread of COVID-19 cases and deaths, as well as on economic and social welfare.
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              Ranking the effectiveness of worldwide COVID-19 government interventions

              Assessing the effectiveness of non-pharmaceutical interventions (NPIs) to mitigate the spread of SARS-CoV-2 is critical to inform future preparedness response plans. Here we quantify the impact of 6,068 hierarchically coded NPIs implemented in 79 territories on the effective reproduction number, Rt, of COVID-19. We propose a modelling approach that combines four computational techniques merging statistical, inference and artificial intelligence tools. We validate our findings with two external datasets recording 42,151 additional NPIs from 226 countries. Our results indicate that a suitable combination of NPIs is necessary to curb the spread of the virus. Less disruptive and costly NPIs can be as effective as more intrusive, drastic, ones (for example, a national lockdown). Using country-specific 'what-if' scenarios, we assess how the effectiveness of NPIs depends on the local context such as timing of their adoption, opening the way for forecasting the effectiveness of future interventions.
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                Author and article information

                Journal
                Euro Surveill
                Euro Surveill
                eurosurveillance
                Eurosurveillance
                European Centre for Disease Prevention and Control (ECDC)
                1025-496X
                1560-7917
                12 May 2022
                : 27
                : 19
                : 2100869
                Affiliations
                [1 ]Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain
                [2 ]Centro Nacional de Epidemiología, Instituto de Salud Carlos IIII, Madrid, Spain
                [3 ]Hospital Clínico San Carlos, Madrid, Spain
                Author notes

                Correspondence: David García-García ( david.garciag@ 123456externos.isciii.es )

                Author information
                http://orcid.org/0000-0003-2838-3413
                http://orcid.org/0000-0003-3197-0731
                http://orcid.org/0000-0002-8565-8332
                http://orcid.org/0000-0002-1704-2245
                http://orcid.org/0000-0002-5909-7957
                http://orcid.org/0000-0003-0575-789X
                http://orcid.org/0000-0001-6154-9142
                http://orcid.org/0000-0001-7388-1767
                Article
                2100869 2100869
                10.2807/1560-7917.ES.2022.27.19.2100869
                9101969
                35551707
                128ab257-3c3e-46ab-adaa-08437ada89ea
                This article is copyright of the authors or their affiliated institutions, 2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.

                History
                : 31 August 2021
                : 10 December 2021
                Categories
                Research
                Custom metadata
                5

                covid-19,non-pharmaceutical interventions (npis),spain,severity index

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