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      No causal effect of school closures in Japan on the spread of COVID-19 in spring 2020

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          Abstract

          Among tool kits to combat the coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, school closures are one of the most frequent non-pharmaceutical interventions. However, school closures bring about substantial costs, such as learning loss. To date, studies have not reached a consensus about the effectiveness of these policies at mitigating community transmission, partly because they lack rigorous causal inference. Here we assess the causal effect of school closures in Japan on reducing the spread of COVID-19 in spring 2020. By matching each municipality with open schools to a municipality with closed schools that is the most similar in terms of potential confounders, we can estimate how many cases the municipality with open schools would have had if it had closed its schools. We do not find any evidence that school closures in Japan reduced the spread of COVID-19. Our null results suggest that policies on school closures should be reexamined given the potential negative consequences for children and parents.

          Abstract

          School closures in municipalities in Japan at the start of the COVID-19 pandemic showed no significant reduction in cases compared with case counts in municipalities with open schools, questioning the utility of school closures in mitigating community spread of severe acute respiratory syndrome coronavirus 2.

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          Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe

          Following the detection of the new coronavirus1 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its spread outside of China, Europe has experienced large epidemics of coronavirus disease 2019 (COVID-19). In response, many European countries have implemented non-pharmaceutical interventions, such as the closure of schools and national lockdowns. Here we study the effect of major interventions across 11 European countries for the period from the start of the COVID-19 epidemics in February 2020 until 4 May 2020, when lockdowns started to be lifted. Our model calculates backwards from observed deaths to estimate transmission that occurred several weeks previously, allowing for the time lag between infection and death. We use partial pooling of information between countries, with both individual and shared effects on the time-varying reproduction number (Rt). Pooling allows for more information to be used, helps to overcome idiosyncrasies in the data and enables more-timely estimates. Our model relies on fixed estimates of some epidemiological parameters (such as the infection fatality rate), does not include importation or subnational variation and assumes that changes in Rt are an immediate response to interventions rather than gradual changes in behaviour. Amidst the ongoing pandemic, we rely on death data that are incomplete, show systematic biases in reporting and are subject to future consolidation. We estimate that-for all of the countries we consider here-current interventions have been sufficient to drive Rt below 1 (probability Rt < 1.0 is greater than 99%) and achieve control of the epidemic. We estimate that across all 11 countries combined, between 12 and 15 million individuals were infected with SARS-CoV-2 up to 4 May 2020, representing between 3.2% and 4.0% of the population. Our results show that major non-pharmaceutical interventions-and lockdowns in particular-have had a large effect on reducing transmission. Continued intervention should be considered to keep transmission of SARS-CoV-2 under control.
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            Modern Applied Statistics with S

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              MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

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                Author and article information

                Contributors
                kentaro.fukumoto@gakushuin.ac.jp
                Journal
                Nat Med
                Nat Med
                Nature Medicine
                Nature Publishing Group US (New York )
                1078-8956
                1546-170X
                27 October 2021
                27 October 2021
                2021
                : 27
                : 12
                : 2111-2119
                Affiliations
                [1 ]GRID grid.256169.f, ISNI 0000 0001 2326 2298, Department of Political Science, , Gakushuin University, ; Tokyo, Japan
                [2 ]GRID grid.38142.3c, ISNI 000000041936754X, Program on U.S.-Japan Relations, , Harvard University, ; Cambridge, MA USA
                [3 ]GRID grid.214458.e, ISNI 0000000086837370, Center for Japanese Studies, , University of Michigan, ; Ann Arbor, MI USA
                [4 ]GRID grid.263536.7, ISNI 0000 0001 0656 4913, Department of Economics, , Shizuoka University, ; Shizuoka, Japan
                Author information
                http://orcid.org/0000-0003-3704-9054
                http://orcid.org/0000-0002-6780-6194
                http://orcid.org/0000-0003-2429-7630
                Article
                1571
                10.1038/s41591-021-01571-8
                8674136
                34707318
                0e1a69c2-f2bc-44e5-ad63-008d3b503af0
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 July 2021
                : 1 October 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001691, MEXT | Japan Society for the Promotion of Science (JSPS);
                Award ID: JP19K21683
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021

                Medicine
                government,viral infection,education,respiratory tract diseases,interdisciplinary studies
                Medicine
                government, viral infection, education, respiratory tract diseases, interdisciplinary studies

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