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      Retrospective analysis of the Italian exit strategy from COVID-19 lockdown

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          Significance

          We use a mathematical model to evaluate the Italian exit strategy after the lockdown imposed against the COVID-19 epidemics, comparing it to a number of alternative scenarios. We highlight that a successful reopening requires two critical conditions: a low value of the reproduction number and a low incidence of infection. The first is needed to allow some margin for expansion after the lifting of restrictions; the second is needed because the level of incidence will be maintained approximately constant after the reproduction number has grown to values close to one. Furthermore, we suggest that, even with significant reductions of transmission rates, resuming social contacts at prepandemic levels escalates quickly the COVID-19 burden.

          Abstract

          After the national lockdown imposed on March 11, 2020, the Italian government has gradually resumed the suspended economic and social activities since May 4, while maintaining the closure of schools until September 14. We use a model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission to estimate the health impact of different exit strategies. The strategy adopted in Italy kept the reproduction number R t at values close to one until the end of September, with marginal regional differences. Based on the estimated postlockdown transmissibility, reopening of workplaces in selected industrial activities might have had a minor impact on the transmissibility. Reopening educational levels in May up to secondary schools might have influenced SARS-CoV-2 transmissibility only marginally; however, including high schools might have resulted in a marked increase of the disease burden. Earlier reopening would have resulted in disproportionately higher hospitalization incidence. Given community contacts in September, we project a large second wave associated with school reopening in the fall.

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          Prevalence of Asymptomatic SARS-CoV-2 Infection

          Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly throughout the world since the first cases of coronavirus disease 2019 (COVID-19) were observed in December 2019 in Wuhan, China. It has been suspected that infected persons who remain asymptomatic play a significant role in the ongoing pandemic, but their relative number and effect have been uncertain. The authors sought to review and synthesize the available evidence on asymptomatic SARS-CoV-2 infection. Asymptomatic persons seem to account for approximately 40% to 45% of SARS-CoV-2 infections, and they can transmit the virus to others for an extended period, perhaps longer than 14 days. Asymptomatic infection may be associated with subclinical lung abnormalities, as detected by computed tomography. Because of the high risk for silent spread by asymptomatic persons, it is imperative that testing programs include those without symptoms. To supplement conventional diagnostic testing, which is constrained by capacity, cost, and its one-off nature, innovative tactics for public health surveillance, such as crowdsourcing digital wearable data and monitoring sewage sludge, might be helpful.
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            The Mental Health Consequences of COVID-19 and Physical Distancing: The Need for Prevention and Early Intervention

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              Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study

              Summary Background Spain is one of the European countries most affected by the COVID-19 pandemic. Serological surveys are a valuable tool to assess the extent of the epidemic, given the existence of asymptomatic cases and little access to diagnostic tests. This nationwide population-based study aims to estimate the seroprevalence of SARS-CoV-2 infection in Spain at national and regional level. Methods 35 883 households were selected from municipal rolls using two-stage random sampling stratified by province and municipality size, with all residents invited to participate. From April 27 to May 11, 2020, 61 075 participants (75·1% of all contacted individuals within selected households) answered a questionnaire on history of symptoms compatible with COVID-19 and risk factors, received a point-of-care antibody test, and, if agreed, donated a blood sample for additional testing with a chemiluminescent microparticle immunoassay. Prevalences of IgG antibodies were adjusted using sampling weights and post-stratification to allow for differences in non-response rates based on age group, sex, and census-tract income. Using results for both tests, we calculated a seroprevalence range maximising either specificity (positive for both tests) or sensitivity (positive for either test). Findings Seroprevalence was 5·0% (95% CI 4·7–5·4) by the point-of-care test and 4·6% (4·3–5·0) by immunoassay, with a specificity–sensitivity range of 3·7% (3·3–4·0; both tests positive) to 6·2% (5·8–6·6; either test positive), with no differences by sex and lower seroprevalence in children younger than 10 years ( 10%) and lower in coastal areas (<3%). Seroprevalence among 195 participants with positive PCR more than 14 days before the study visit ranged from 87·6% (81·1–92·1; both tests positive) to 91·8% (86·3–95·3; either test positive). In 7273 individuals with anosmia or at least three symptoms, seroprevalence ranged from 15·3% (13·8–16·8) to 19·3% (17·7–21·0). Around a third of seropositive participants were asymptomatic, ranging from 21·9% (19·1–24·9) to 35·8% (33·1–38·5). Only 19·5% (16·3–23·2) of symptomatic participants who were seropositive by both the point-of-care test and immunoassay reported a previous PCR test. Interpretation The majority of the Spanish population is seronegative to SARS-CoV-2 infection, even in hotspot areas. Most PCR-confirmed cases have detectable antibodies, but a substantial proportion of people with symptoms compatible with COVID-19 did not have a PCR test and at least a third of infections determined by serology were asymptomatic. These results emphasise the need for maintaining public health measures to avoid a new epidemic wave. Funding Spanish Ministry of Health, Institute of Health Carlos III, and Spanish National Health System.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                26 January 2021
                07 January 2021
                07 January 2021
                : 118
                : 4
                : e2019617118
                Affiliations
                [1] aCenter for Health Emergencies, Bruno Kessler Foundation, Trento 38123, Italy;
                [2] bDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority, Monteporzio Catone (Rome) 00078, Italy;
                [3] cDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome 00161, Italy;
                [4] dDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN 47405;
                [5] eLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
                Author notes
                2To whom correspondence may be addressed. Email: merler@ 123456fbk.eu .

                Edited by Andrea Rinaldo, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, and approved December 14, 2020 (received for review September 18, 2020)

                Author contributions: G.G., S.B., G.R., S.I., M.A., and S.M. designed research; V.M., G.G., B.M.R., F.B., P. Poletti, and F.T. performed research; V.M., G.G., B.M.R., F.B., A.B., P. Poletti, and F.T. analyzed data; and V.M., G.G., F.R., P. Poletti, F.T., P. Pezzotti, M.A., and S.M. wrote the paper.

                1V.M. and G.G. contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-2842-7906
                https://orcid.org/0000-0002-9296-9470
                https://orcid.org/0000-0002-4024-9877
                https://orcid.org/0000-0002-4976-631X
                https://orcid.org/0000-0002-6615-4227
                https://orcid.org/0000-0001-5453-5199
                https://orcid.org/0000-0002-0805-2927
                https://orcid.org/0000-0003-1018-7094
                https://orcid.org/0000-0002-5956-9723
                https://orcid.org/0000-0003-1753-4749
                https://orcid.org/0000-0002-5117-0611
                Article
                202019617
                10.1073/pnas.2019617118
                7848712
                33414277
                2e2ec7c6-79bf-4ffe-ae46-679880461c8c
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                Page count
                Pages: 8
                Funding
                Funded by: European Commission (EC) 501100000780
                Award ID: 874850 MOOD
                Award Recipient : Valentina Marziano Award Recipient : Giorgio Guzzetta Award Recipient : Piero Poletti Award Recipient : Filippo Trentini Award Recipient : Stefano Merler
                Funded by: VRT Foundation, Trento, Italy
                Award ID: Epidemiologia e transmissione di COVID-19 in Trentino
                Award Recipient : Valentina Marziano Award Recipient : Giorgio Guzzetta Award Recipient : Piero Poletti Award Recipient : Filippo Trentini Award Recipient : Stefano Merler
                Categories
                Biological Sciences
                Medical Sciences
                Custom metadata
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                sars-cov-2,reopening scenarios,mathematical modeling

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