{"id":8029,"date":"2020-07-08T17:58:32","date_gmt":"2020-07-09T00:58:32","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=8029"},"modified":"2021-03-31T08:51:11","modified_gmt":"2021-03-31T15:51:11","slug":"covid-19-literature-situation-report-july-8-2020","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/07\/08\/covid-19-literature-situation-report-july-8-2020\/","title":{"rendered":"COVID-19 Literature Situation Report July 8, 2020"},"content":{"rendered":"<p>The scientific literature on COVID-19 is rapidly evolving and these articles were selected for review based on their relevance to Washington State decision making around COVID-19 response efforts. Included in these Lit Reps are some manuscripts that have been made available online as pre-prints but have not yet undergone peer review. Please be aware of this when reviewing articles included in the Lit Reps.<\/p>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li><b><span data-contrast=\"auto\">Following the re<\/span><\/b><b><span data-contrast=\"auto\">&#8211;<\/span><\/b><b><span data-contrast=\"auto\">opening of nightclubs in South Korea, 246 COVID-19 cases were linked to a single outbreak in a nightclub in Seoul during a week-long holiday. This suggests that superspreading events related to nightclubs have the potential to spark a resurgence of cases.\u00a0<\/span><\/b><a href=\"https:\/\/doi.org\/10.3201\/eid2610.202573\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0d8\" data-font=\"Wingdings\" data-listid=\"1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">In a comparison of commercial SARS-CoV-2 serological assays, the\u00a0Wantai\u00a0ELISA had the best overall performance, with a specificity of 99% and sensitivities of 99% for IgG and 90%\u00a0<\/span><\/b><b><span data-contrast=\"auto\">for\u00a0<\/span><\/b><b><span data-contrast=\"auto\">IgM antibodies.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1038\/s41467-020-17317-y\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0d8\" data-font=\"Wingdings\" data-listid=\"1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Universal screening of pregnant patients admitted for delivery in New York City hospitals\u00a0<\/span><\/b><b><span data-contrast=\"auto\">over 28 days during the period of peak cases in the city<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">found that 10% of patients were SARS-CoV-2 positive, and that these patients were more likely to experience Cesarean delivery and post-partum complications. None of the delivered infants were positive for SARS-CoV-2.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1111\/1471-0528.16403\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0d8\" data-font=\"Wingdings\" data-listid=\"1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Modeling suggests that pre-symptomatic<\/span><\/b><b><span data-contrast=\"auto\">\u00a0cases<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">account for 47-48%<\/span><\/b><b><span data-contrast=\"auto\">\u00a0of\u00a0<\/span><\/b><b><span data-contrast=\"auto\">SARS-CoV-2\u00a0<\/span><\/b><b><span data-contrast=\"auto\">transmissions<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">and asymptomatic\u00a0<\/span><\/b><b><span data-contrast=\"auto\">cases account for\u00a0<\/span><\/b><b><span data-contrast=\"auto\">3-7% of transmissions. These finding<\/span><\/b><b><span data-contrast=\"auto\">s<\/span><\/b><b><span data-contrast=\"auto\">\u00a0suggest that isolation of all symptomatic cases is not sufficient to achieve epidemic control.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1073\/pnas.2008373117\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0d8\" data-font=\"Wingdings\" data-listid=\"1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Modeling suggests that universal use of face masks could halt a post-lockdown resurgence of COVID-19 cases, assuming a 50% reduction in transmission associated with face<\/span><\/b><b><span data-contrast=\"auto\">\u00a0mask use<\/span><\/b><b><span data-contrast=\"auto\">\u00a0and 75% compliance<\/span><\/b><b><span data-contrast=\"auto\">.\u00a0<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1101\/2020.07.05.20146951\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<div id=\"uw-accordion-shortcode\">\n<h3>Article Summaries<\/h3>\n<div class=\"js-accordion\" data-accordion-prefix-classes=\"uw-accordion-shortcode\">\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span class=\"TextRun SCXW70641427 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW70641427 BCX0\" data-ccp-parastyle=\"heading 2\">Transmission<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8033\" class=\"su-post\">\n<h5 class=\"su-post-title\">Covid-19 Exposure Risk for Family Members of Healthcare Workers: An Observational Study<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">In a study of health care workers and their family members in Italy, 5% (2\/38)\u00a0<\/span><span data-contrast=\"auto\">of\u00a0<\/span><span data-contrast=\"auto\">health care workers and 32% (26\/81) of their family members tested positive for SARS-CoV-2 antibodies. In two families, healthcare workers were the people who tested negative. The authors suggest that family members had a higher exposure to SARS-CoV-2 infection via the general population, compared to health care\u00a0<\/span><span data-contrast=\"auto\">workers, and that health care workers may not have been a main source of SARS-CoV-2 for their families.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Dioscoridi and Carrisi. (July 2020). Covid-19 Exposure Risk for Family Members of Healthcare Workers: An Observational Study. International Journal of Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/j.ijid.2020.06.106\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/j.ijid.2020.06.106<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8031\" class=\"su-post\">\n<h5 class=\"su-post-title\">Coronavirus Disease Exposure and Spread from Nightclubs, South Korea<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">As of May 25, 246 COVID-19 cases have been linked to an outbreak at a nightclub in Seoul, South Korea. Nightclubs in South Korea that had been closed\u00a0<\/span><span data-contrast=\"auto\">previously\u00a0<\/span><span data-contrast=\"auto\">as part of the social distancing policy re<\/span><span data-contrast=\"auto\">&#8211;<\/span><span data-contrast=\"auto\">opened on April 30, ahead of the April 30\u2013May 5 Golden Week holiday. Through large scale contact tracing, Kang et al. tested 41,612 nightclub visitors and their contacts<\/span><span data-contrast=\"auto\">, of whom 0.6% were positive<\/span><span data-contrast=\"auto\">: 96 (39%) of SARS-CoV-2 positive persons were primary cases and 150 (61%) were secondary contacts. This suggests that superspreading events related to nightclubs have the potential to spark a resurgence of cases in South Korea.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Kang et al. (July 7, 2020). Coronavirus Disease Exposure and Spread from Nightclubs, South Korea. Emerging Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.3201\/eid2610.202573\"><span data-contrast=\"none\">https:\/\/doi.org\/10.3201\/eid2610.202573<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span style=\"font-weight: 400\">Testing and Treatment<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8039\" class=\"su-post\">\n<h5 class=\"su-post-title\">Potential Effective Treatment for COVID-19: Systematic Review and Meta-Analysis of the Severe Infectious Disease with Convalescent Plasma Therapy<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Sun et al. conducted a meta-analysis of convalescent plasma treatment for non-SARS-CoV-2 viruses. Across 40 studies of patients infected with SARS-CoV, influenza, or Ebola virus, convalescent plasma was associated with a reduction in mortality, had a low incidence of adverse events, promoted the production of antibodies, reduced viral load, and shortened the disease course. Among 15 controlled studies, mortality was significantly lower among those treated with convalescent plasma than controls (pooled\u00a0<\/span><span data-contrast=\"auto\">OR<\/span><span data-contrast=\"auto\">=<\/span><span data-contrast=\"auto\">0.31; 95% CI: 0.19-0.52).<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Sun et al. (July 4, 2020). Potential Effective Treatment for COVID-19: Systematic Review and Meta-Analysis of the Severe Infectious Disease with Convalescent Plasma Therapy. International Journal of Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/j.ijid.2020.06.107\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/j.ijid.2020.06.107<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8037\" class=\"su-post\">\n<h5 class=\"su-post-title\">Development and Evaluation of a Duo SARS-CoV-2 RT-QPCR Assay Combining Two Assays Approved by the World Health Organization Targeting the Envelope and the RNA-Dependant\u00a0RNA Polymerase (RdRp) Coding Regions<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Pezzi et al. evaluated a duo SARS-CoV-2 RT-qPCR assay. Compared to\u00a0monoplex\u00a0RT-qPCR assays, dual-target assays may be less likely to have false-negative results caused by polymorphisms or point mutations. Based on 69 nasopharyngeal samples, the dual assay performed equal<\/span><span data-contrast=\"auto\">\u00a0to\u00a0<\/span><span data-contrast=\"auto\">or better<\/span><span data-contrast=\"auto\">\u00a0than\u00a0<\/span><span data-contrast=\"auto\">mono-target assay<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0in terms of sensitivity, specificity, linearity<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">\u00a0and signal intensity.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Pezzi et al. (June 25, 2020). Development and Evaluation of a Duo SARS-CoV-2 RT-QPCR Assay Combining Two Assays Approved by the World Health Organization Targeting the Envelope and the RNA-Dependant\u00a0RNA Polymerase (RdRp) Coding Regions. Viruses.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.3390\/v12060686\"><span data-contrast=\"none\">https:\/\/doi.org\/10.3390\/v12060686<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8035\" class=\"su-post\">\n<h5 class=\"su-post-title\">An Evaluation of COVID-19 Serological Assays Informs Future Diagnostics and Exposure Assessment<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">In a comparison of eight SARS-CoV-2 serological assays,\u00a0GeurtsvanKessel\u00a0et. al found that the\u00a0Wantai\u00a0ELISA for detecting total Ig and IgM antibodies (Beijing\u00a0Wantai\u00a0Biological Pharmacy Enterprise Co., Ltd., China) had the best overall performance. The\u00a0Wantai\u00a0ELISA had a specificity of 99% and sensitivities of 99% for IgG and 90% IgM\u00a0antibodies, and\u00a0was able to detect functional antibodies in different stages and severity of disease.<\/span><span data-contrast=\"auto\">\u00a0<\/span><i><span data-contrast=\"auto\">[EDITORIAL NOTE: Assessment of sensitivity was based on samples confirmed to have SARS-CoV-2 antibodies by PRNT50.\u00a0Therefore\u00a0these\u00a0<\/span><\/i><i><span data-contrast=\"auto\">should be considered\u00a0<\/span><\/i><i><span data-contrast=\"auto\">estimates\u00a0<\/span><\/i><i><span data-contrast=\"auto\">of\u00a0<\/span><\/i><i><span data-contrast=\"auto\">the analytic sensitivity rather than the clinical\u00a0<\/span><\/i><i><span data-contrast=\"auto\">sensitivity<\/span><\/i><i><span data-contrast=\"auto\">]<\/span><\/i><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">GeurtsvanKessel\u00a0et al. (July 4, 2020). An Evaluation of COVID-19 Serological Assays Informs Future Diagnostics and Exposure Assessment. Nature Communications.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1038\/s41467-020-17317-y\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1038\/s41467-020-17317-y<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span class=\"TextRun SCXW22351167 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW22351167 BCX0\" data-ccp-parastyle=\"heading 2\">Clinical Characteristics<\/span><\/span><span class=\"TextRun SCXW22351167 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW22351167 BCX0\" data-ccp-parastyle=\"heading 2\"> and Health Care Setting<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8045\" class=\"su-post\">\n<h5 class=\"su-post-title\">Investigating SARS-CoV-2 Surface and Air Contamination in an Acute Healthcare Setting during the Peak of the COVID-19 Pandemic in London<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Zhou et al. collected air and surface samples from seven clinical areas occupied by COVID-19 patients, as well as one public area of a London hospital. Overall, viral RNA was detected on 52% (114\/218) of surfaces and 39% (14\/31) of air samples, but no virus was cultured. Viral RNA was more likely to be found in areas immediately occupied by COVID-19 patients than in other areas (64% v<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">. 45%). These findings suggest there is a high risk of environmental contamination\u00a0<\/span><span data-contrast=\"auto\">with viral\u00a0<\/span><span data-contrast=\"auto\">RNA<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">within health care settings<\/span><span data-contrast=\"auto\">, though the implications for infectious<\/span><span data-contrast=\"auto\">\u00a0virus are less clear<\/span><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Zhou et al. (July 8, 2020). Investigating SARS-CoV-2 Surface and Air Contamination in an Acute Healthcare Setting during the Peak of the COVID-19 Pandemic in London. Clinical Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa905\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/cid\/ciaa905<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8043\" class=\"su-post\">\n<h5 class=\"su-post-title\">Race, Socioeconomic Deprivation, and Hospitalization for COVID-19 in English Participants of a National Biobank<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">In a UK cohort of biobank participants, 549 were hospitalized for COVID-19. Black (OR 3.7; 95% CI: 2.5-5.3) and Asian (OR 2.2; 95% CI: 1.5-3.2) participants had a significantly higher risk of COVID-19 hospitalization relative to\u00a0<\/span><span data-contrast=\"auto\">w<\/span><span data-contrast=\"auto\">hite\u00a0<\/span><span data-contrast=\"auto\">participants. These disparities persisted, even after adjusting for socioeconomic deprivation, household income, and cardiorespiratory comorbidities.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Patel et al. (July 6, 2020). Race, Socioeconomic Deprivation, and Hospitalization for COVID-19 in English Participants of a National Biobank. International Journal for Equity in Health.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1186\/s12939-020-01227-y\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1186\/s12939-020-01227-y<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8041\" class=\"su-post\">\n<h5 class=\"su-post-title\">Pregnancy and Postpartum Outcomes in a Universally Tested Population for SARS-CoV-2 in New York City: A Prospective Cohort Study<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">All pregnant p<\/span><span data-contrast=\"auto\">atients\u00a0<\/span><span data-contrast=\"auto\">who were admitted for delivery at three New York City hospitals were screened for SARS-CoV-2 using RT-<\/span><span data-contrast=\"auto\">PC<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">testing of nasopharyngeal specimens<\/span><span data-contrast=\"auto\">\u00a0(first 28 days of universal screening that started on March 22, 2020)<\/span><span data-contrast=\"auto\">. Of 675 people admitted for delivery, 10% were positive for SARS-CoV-2, among whom most (79%) were asymptomatic.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Cesarean delivery and post-partum complications were more common among SARS-CoV-2 positive p<\/span><span data-contrast=\"auto\">atients\u00a0<\/span><span data-contrast=\"auto\">(45% v<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a031% and 13% v<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a05%, respectively). Placental pathology revealed a higher frequency of fetal vascular\u00a0malperfusion\u00a0in patients with vs. without SARS-CoV-2 (48% v<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a011%). None of the delivered infants were positive for SARS-CoV-2.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Prabhu et al. (July 7, 2020). Pregnancy and Postpartum Outcomes in a Universally Tested Population for SARS-CoV-2 in New York City: A Prospective Cohort Study. BJOG\u202fInternational Journal of Obstetrics and\u00a0Gynaecology.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1111\/1471-0528.16403\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1111\/1471-0528.16403<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span class=\"TextRun SCXW9250986 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW9250986 BCX0\" data-ccp-parastyle=\"heading 2\">Mental Health and Personal Impact<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8047\" class=\"su-post\">\n<h5 class=\"su-post-title\">The Mental Health Impact of COVID-19 and Pandemic Related Stressors among Adults in the UK<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[Preprint, not peer-reviewed]\u00a0<\/span><\/i><span data-contrast=\"auto\">Using data from the UK Household Longitudinal Study,\u00a0<\/span><span data-contrast=\"auto\">a\u00a0<\/span><span data-contrast=\"auto\">representative sample of\u00a0<\/span><span data-contrast=\"auto\">the\u00a0<\/span><span data-contrast=\"auto\">UK population, Chandola et al. found an increase in common mental disorders during COVID-19 lockdown in April-May 2020, compared to prior years (2017-2019). Negative mental health outcomes were associated with feelings of loneliness, increasing domestic work demands (e.g.\u00a0childcare and home-schooling), working from home, and the receipt of care from outside the home.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Chandola et al. (July 7, 2020). The Mental Health Impact of COVID-19 and Pandemic Related Stressors among Adults in the UK. Pre-print downloaded July 8 from\u00a0\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.07.05.20146738\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.07.05.20146738<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span class=\"TextRun SCXW82890009 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW82890009 BCX0\" data-ccp-parastyle=\"heading 2\">Mode<\/span><\/span><span class=\"TextRun SCXW82890009 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW82890009 BCX0\" data-ccp-parastyle=\"heading 2\">ling and Prediction<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8058\" class=\"su-post\">\n<h5 class=\"su-post-title\">Estimating the Establishment of Local Transmission and the Cryptic Phase of the COVID-19 Pandemic in the USA<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[Preprint, not peer-reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Davis et al. estimated that there was widespread community transmission of SARS-CoV-2 in the United States by\u00a0February,\u00a02020. Their modeling suggests that international travel could have seeded outbreaks in West and East Coast metropolitan areas as early as\u00a0December,\u00a02019. However, for most states, domestic travel contributed to the largest proportion of imported infections.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Davis et al. (July 7, 2020). Estimating the Establishment of Local Transmission and the Cryptic Phase of the COVID-19 Pandemic in the USA. Pre-print downloaded July 8 from\u00a0\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.07.06.20140285\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.07.06.20140285<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8056\" class=\"su-post\">\n<h5 class=\"su-post-title\">Optimising\u00a0Benefits of Testing Key Workers for Infection with SARS-CoV-2: A Mathematical Modelling Analysis<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Sandmann et al. modeled the impact of various testing strategies on the risk of workplace transmission and absences for essential workers: (i) testing workers with SARS-CoV-2-like symptoms who self-isolated, (ii) testing asymptomatic workers in household quarantine, and (iii) universal testing. Universal testing of staff had the largest reduction\u00a0<\/span><span data-contrast=\"auto\">per test in\u00a0<\/span><span data-contrast=\"auto\">workplace transmission, while only testing asymptomatic workers in household quarantine has the largest reduction<\/span><span data-contrast=\"auto\">\u00a0per test<\/span><span data-contrast=\"auto\">\u00a0in absences.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Sandmann et al. (July 8, 2020).\u00a0Optimising\u00a0Benefits of Testing Key Workers for Infection with SARS-CoV-2: A Mathematical Modelling Analysis. Clinical Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa901\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/cid\/ciaa901<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8054\" class=\"su-post\">\n<h5 class=\"su-post-title\">Reopening Universities during the COVID-19 Pandemic: A Testing Strategy to Minimize Active Cases and Delay Outbreaks<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[Preprint, not peer-reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0Rennert et al. evaluated the impact of pre-semester SARS-CoV-2 testing on reducing the incidence of cases in a university setting. Although they found that pre-semester testing would delay the onset of the epidemic peak from 17 to 40 days, it would not reduce the overall outbreak size without further prevention strategies.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Rennert et al. (July 7, 2020). Reopening Universities during the COVID-19 Pandemic: A Testing Strategy to Minimize Active Cases and Delay Outbreaks. Pre-print downloaded July 8 from\u00a0\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.07.06.20147272\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.07.06.20147272<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8051\" class=\"su-post\">\n<h5 class=\"su-post-title\">The Implications of Silent Transmission for the Control of COVID-19 Outbreaks<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Moghadas\u00a0et al. used\u00a0agentbased\u00a0modeling to quantify the number of transmission<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0attributable to asymptomatic and pre-symptomatic SARS-CoV-3 infections. Empirical studies suggest that the proportion of asymptomatic cases range from 1<\/span><span data-contrast=\"auto\">8<\/span><span data-contrast=\"auto\">\u00a0to 3<\/span><span data-contrast=\"auto\">1<\/span><span data-contrast=\"auto\">%. At the lower end, when 1<\/span><span data-contrast=\"auto\">8<\/span><span data-contrast=\"auto\">% of infections are asymptomatic, they estimated that pre-symptomatic<\/span><span data-contrast=\"auto\">\u00a0cases account for 48% of transmissions<\/span><span data-contrast=\"auto\">\u00a0and asymptomatic infections account for 3% of transmissions. These estimates change slightly if 3<\/span><span data-contrast=\"auto\">1<\/span><span data-contrast=\"auto\">% of\u00a0<\/span><span data-contrast=\"auto\">infections are asymptomatic: pre-symptomatic and asymptomatic infections accounted for 47%\u00a0<\/span><span data-contrast=\"auto\">7<\/span><span data-contrast=\"auto\">% of transmissions, respectively. These finding suggest that isolation of all symptomatic cases is not sufficient to achieve epidemic control.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Moghadas\u00a0et al. (July 2020). The Implications of Silent Transmission for the Control of COVID-19 Outbreaks.\u00a0<\/span><\/i><i><span data-contrast=\"none\">PNAS<\/span><\/i><i><span data-contrast=\"none\">.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1073\/pnas.2008373117\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1073\/pnas.2008373117<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<div id=\"su-post-8049\" class=\"su-post\">\n<h5 class=\"su-post-title\">Could Masks Curtail the Post-Lockdown Resurgence of COVID-19 in the US<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[Preprint, not peer-reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0Ngonghala\u00a0et al. assessed if the universal use of face masks could halt a post-lockdown resurgence of COVID-19 cases for the entire U.S., as well as within the states of Arizona, Florida, and New York.\u00a0Assuming that\u00a0face masks reduce the probability of transmission by 50%, the authors found that 75% compliance with universal masking laws would prevent a second wave of infections.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Ngonghala\u00a0et al. (July 7, 2020). Could Masks Curtail the Post-Lockdown Resurgence of COVID-19 in the US. Pre-print downloaded July 8 from\u00a0\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.07.05.20146951\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.07.05.20146951<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:360,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3><strong>Other Resources and Commentaries<\/strong><\/h3>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.3390\/pathogens9070529\"><span data-contrast=\"none\">Evidence for SARS-CoV-2 Infection of Animal Hosts<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Pathogens (June\u00a0<\/span><span data-contrast=\"auto\">30<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1136\/jech-2020-214617\"><span data-contrast=\"none\">Flattening the Curve of New Publications on COVID-19<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Journal of Epidemiology and Community Health (July\u00a0<\/span><span data-contrast=\"auto\">6<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1007\/s11606-020-05968-y\"><span data-contrast=\"none\">Medical Isolation and Solitary Confinement: Balancing Health and Humanity in US Jails and Prisons During COVID-19<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Journal of General Internal Medicine (July\u00a0<\/span><span data-contrast=\"auto\">6<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1183\/13993003.01253-2020\"><span data-contrast=\"none\">A Re-Analysis in Exploring the Association between Temperature and COVID-19 Transmissibility: An Ecological Study with 154 Chinese Cities<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 The European Respiratory Journal (July\u00a0<\/span><span data-contrast=\"auto\">6<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1080\/17441692.2020.1791214\"><span data-contrast=\"none\">A Call for a Gender-Responsive, Intersectional Approach to Address COVID-19<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Global Public Health (July\u00a0<\/span><span data-contrast=\"auto\">7<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1016\/j.healthpol.2020.06.009\"><span data-contrast=\"none\">United but Divided: Policy Responses and People\u2019s Perceptions in the EU during the COVID-19 Outbreak<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Health Policy (June\u00a0<\/span><span data-contrast=\"auto\">22<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.07.07.20148361\"><span data-contrast=\"none\">Artificial Intelligence Driven Assessment of Routinely Collected Healthcare Data Is an Effective Screening Test for COVID-19 in Patients Presenting to Hospital<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">m<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">xiv\u00a0(July 8)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.07.06.20147033\"><span data-contrast=\"none\">The Relative Power of Individual Distancing Efforts and Public Policies to Curb the COVID-19 Epidemics<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">m<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">xiv\u00a0(July 7)<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.07.07.20147413\"><span data-contrast=\"none\">A National Cross-Sectional Survey of Public Perceptions Knowledge and Behaviors during the COVID-19 Pandemic<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">m<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">xiv\u00a0(July 8)<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Following the re-opening of nightclubs in South Korea, 246 COVID-19 cases were linked to a single outbreak in a nightclub in Seoul during a week-long holiday. This suggests that superspreading events related to nightclubs have the potential to spark a resurgence of cases. <\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/07\/08\/could-masks-curtail-the-post-lockdown-resurgence-of-covid-19-in-the-us\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":1713,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5],"tags":[],"topic":[],"class_list":["post-8029","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-covid-19-literature-situation-report"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8029","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/comments?post=8029"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8029\/revisions"}],"predecessor-version":[{"id":8060,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8029\/revisions\/8060"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media\/1713"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=8029"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=8029"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=8029"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=8029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}