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      The first wave of COVID-19 in Israel—Initial analysis of publicly available data

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          Abstract

          The first case of COVID-19 was confirmed in Israel on February 21, 2020. Within approximately 30 days, the total number of confirmed cases climbed up to 1, 000, accompanied by a doubling period of less than 3 days. About one week later, after this number exceeded 4, 000 cases, and following some extreme lockdown measures taken by the Israeli government, the daily infection rate started a sharp decrease from the peak value of 1, 131 down to slightly more than 100 new confirmed cases on April 30. Motivated by this encouraging data, similar to the trends observed in many other countries, along with the growing economic pressures, the Israeli government has quickly lifted most of its emergency regulations. Throughout May, the daily number of new cases stayed at a very low level of 20–40 until at the end of May it started a steady increase, exceeding 1, 000 by the end of June and 2, 000 on July 22. As suggested by some experts and popular media, this disturbing trend may be even a part of a “second wave”. This article attempts to analyze the data available on Israel at the end of July 2020, compared to three European countries (Greece, Italy, and Sweden), in order to understand the local dynamics of COVID-19, assess the effect of the implemented intervention measures, and discuss some plausible scenarios for the foreseeable future.

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          Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period

          It is urgent to understand the future of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) transmission. We used estimates of seasonality, immunity, and cross-immunity for betacoronaviruses OC43 and HKU1 from time series data from the USA to inform a model of SARS-CoV-2 transmission. We projected that recurrent wintertime outbreaks of SARS-CoV-2 will probably occur after the initial, most severe pandemic wave. Absent other interventions, a key metric for the success of social distancing is whether critical care capacities are exceeded. To avoid this, prolonged or intermittent social distancing may be necessary into 2022. Additional interventions, including expanded critical care capacity and an effective therapeutic, would improve the success of intermittent distancing and hasten the acquisition of herd immunity. Longitudinal serological studies are urgently needed to determine the extent and duration of immunity to SARS-CoV-2. Even in the event of apparent elimination, SARS-CoV-2 surveillance should be maintained since a resurgence in contagion could be possible as late as 2024.
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            Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China

            The recent outbreak of COVID-19 in Mainland China was characterized by a distinctive subexponential increase of confirmed cases during the early phase of the epidemic, contrasting an initial exponential growth expected for an unconstrained outbreak. We show that this effect can be explained as a direct consequence of containment policies that effectively deplete the susceptible population. To this end, we introduce a parsimonious model that captures both, quarantine of symptomatic infected individuals as well as population-wide isolation practices in response to containment policies or behavioral changes and show that the model captures the observed growth behavior accurately. The insights provided here may aid the careful implementation of containment strategies for ongoing secondary outbreaks of COVID-19 or similar future outbreaks of other emergent infectious diseases.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2020
                29 October 2020
                29 October 2020
                : 15
                : 10
                : e0240393
                Affiliations
                [001] Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel
                The Bucharest University of Economic Studies, ROMANIA
                Author notes

                Competing Interests: The author have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-0748-7918
                Article
                PONE-D-20-13386
                10.1371/journal.pone.0240393
                7595440
                33119605
                b38a452e-e084-4ab2-a4c3-0edadc4a6624
                © 2020 Mark Last

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 May 2020
                : 28 September 2020
                Page count
                Figures: 14, Tables: 1, Pages: 17
                Funding
                The author received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                People and Places
                Geographical Locations
                Asia
                Israel
                Medicine and Health Sciences
                Diagnostic Medicine
                Virus Testing
                People and places
                Geographical locations
                Europe
                European Union
                Italy
                People and places
                Geographical locations
                Europe
                European Union
                Sweden
                People and places
                Geographical locations
                Europe
                European Union
                Greece
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Infectious Disease Control
                Social Distancing
                Custom metadata
                The data underlying the results presented in the study are available from Humanitarian Data Exchange https://data.humdata.org/event/covid-19. COVID-19 Data Repository of the Israeli Ministry of Health https://data.gov.il/dataset/covid-19.
                COVID-19

                Uncategorized
                Uncategorized

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