{"id":7086,"date":"2020-05-26T16:38:48","date_gmt":"2020-05-26T23:38:48","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=7086"},"modified":"2021-03-19T17:03:35","modified_gmt":"2021-03-20T00:03:35","slug":"covid-19-literature-situation-report-may-23-2020","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/26\/covid-19-literature-situation-report-may-23-2020\/","title":{"rendered":"COVID-19 Literature Situation Report May 26, 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\">A double-blind randomized trial found that\u00a0remdesivir\u00a0use in hospitali<\/span><\/b><b><span data-contrast=\"auto\">zed adult COVID-19 patients\u00a0<\/span><\/b><b><span data-contrast=\"auto\">results in\u00a0<\/span><\/b><b><span data-contrast=\"auto\">faster recovery<\/span><\/b><b><span data-contrast=\"auto\">. There was non-significant evidence of lower<\/span><\/b><b><span data-contrast=\"auto\">\u00a0mortality\u00a0by\u00a014 days.\u00a0<\/span><\/b><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\">A literature review found that fetal distress, premature rupture of membranes,\u00a0<\/span><\/b><b><span data-contrast=\"auto\">and preterm labor<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><b><span data-contrast=\"auto\">were the most common obstetric<\/span><\/b><b><span data-contrast=\"auto\">\u00a0complications<\/span><\/b><b><span data-contrast=\"auto\">\u00a0amon<\/span><\/b><b><span data-contrast=\"auto\">g<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><b><span data-contrast=\"auto\">women with SARS-CoV-2 infection<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><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\">Hierarchical<\/span><\/b><b><span data-contrast=\"auto\">\u00a0clustering of\u00a0<\/span><\/b><b><span data-contrast=\"auto\">COVID-19 patients based on clinical and laboratory results identified five cluster<\/span><\/b><b><span data-contrast=\"auto\">s<\/span><\/b><b><span data-contrast=\"auto\">\u00a0that\u00a0<\/span><\/b><b><span data-contrast=\"auto\">successfully\u00a0<\/span><\/b><b><span data-contrast=\"auto\">group<\/span><\/b><b><span data-contrast=\"auto\">\u00a0those at<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">highest and lowest<\/span><\/b><b><span data-contrast=\"auto\">\u00a0risk of severe disease and death.\u00a0<\/span><\/b><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\">A<\/span><\/b><b><span data-contrast=\"auto\">\u00a0risk score tool identifies<\/span><\/b><b><span data-contrast=\"auto\">\u00a0members of the general population at high risk of severe COVID-19 disease or death<\/span><\/b><b><span data-contrast=\"auto\">\u00a0with high sensitivity<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">while resulting in half<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">the number classified as high risk by\u00a0<\/span><\/b><b><span data-contrast=\"auto\">CDC c<\/span><\/b><b><span data-contrast=\"auto\">ri<\/span><\/b><b><span data-contrast=\"auto\">teria<\/span><\/b><b><span data-contrast=\"auto\">. This would\u00a0<\/span><\/b><b><span data-contrast=\"auto\">enabl<\/span><\/b><b><span data-contrast=\"auto\">e improved targeting with minimal loss of<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">sensitivity<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><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\">A longitudinal cohort study in Washington\u00a0<\/span><\/b><b><span data-contrast=\"auto\">State<\/span><\/b><b><span data-contrast=\"auto\">\u00a0found the age distribution of cases to be decreasing, with fewer cases in older age groups over time, but without similar decline<\/span><\/b><b><span data-contrast=\"auto\">s<\/span><\/b><b><span data-contrast=\"auto\">\u00a0in younger age groups<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><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=\"5\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">A county-level analysis in New England, New York, and California classified super<\/span><\/b><b><span data-contrast=\"auto\">-spreader business types<\/span><\/b><b><span data-contrast=\"auto\">\u00a0and found a positive association between density of such businesses and COVID-19 incidence<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><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><b><span data-contrast=\"auto\">67% of US participants in an online survey reported they would accept a COVID-19 vaccine. Acceptance varied by demographic and socioeconomic factors and geographically<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><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\">Modeling based on\u00a0<\/span><\/b><b><span data-contrast=\"auto\">seroprevalence studies found that in the presence of a large\u00a0<\/span><\/b><b><span data-contrast=\"auto\">amount pf\u00a0<\/span><\/b><b><span data-contrast=\"auto\">asymptomatic transmission, controlling the COVID-19 outbreak will require continued social distancing and behavioral changes, in addition to isolation and contact tracing<\/span><\/b><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 style=\"font-weight: 400\">Transmission<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7088\" class=\"su-post\">\n<h5 class=\"su-post-title\">Rising Evidence of COVID-19 Transmission Potential to and between Animals Do We Need to Be Concerned<\/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=\"39\" data-aria-posinset=\"3\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">While there is no evidence to suggest household pets can infect humans with COVID-19, there is mounting evidence that transmission<\/span><span data-contrast=\"auto\">\u00a0from humans to pets<\/span><span data-contrast=\"auto\">\u00a0occurs.\u00a0 Across\u00a0<\/span><span data-contrast=\"auto\">17 case reports on confirmed SARS-CoV-2 infection in animals as of May 15, all but two animals had recovered fully and had only mild respiratory or digestive symptoms. Data from probable cat-to-cat transmission in Wuhan, China estimated the R<\/span><span data-contrast=\"auto\">0<\/span><span data-contrast=\"auto\">\u00a0to be 1.09 (95% CI 1.05, 1.13); this is much lower than the value for humans, suggesting transmission from cats is less import<\/span><span data-contrast=\"auto\">ant than that from humans.<\/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\">Akhmetzhanov\u00a0et al. (May 25, 2020). Rising Evidence of COVID-19 Transmission Potential to and between Animals Do We Need to Be Concerned.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.21.20109041\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.21.20109041<\/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>\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-7092\" class=\"su-post\">\n<h5 class=\"su-post-title\">Remdesivir\u00a0for the Treatment of Covid-19 &#8211; Preliminary Report<\/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=\"38\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">A double-blind, randomized, placebo-controlled trial of IV\u00a0remdesivir\u00a0(200mg on day 1, then 100mg daily for up to 9 days) in adults hospitalized with COVID-19 with evidence of lower respiratory tract involvement (n=1,0<\/span><span data-contrast=\"auto\">59<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">\u00a0found that<\/span><span data-contrast=\"auto\">, compared to placebo,<\/span><span data-contrast=\"auto\">\u00a0recovery was 32% faster in those\u00a0<\/span><span data-contrast=\"auto\">who\u00a0<\/span><span data-contrast=\"auto\">receiv<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">\u00a0remdesivir\u00a0(95%CI 12%<\/span><span data-contrast=\"auto\">\u00a0to<\/span><span data-contrast=\"auto\">\u00a055%; median recovery time 11 vs 15 days)<\/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=\"38\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Though not statistically significant,\u00a0<\/span><span data-contrast=\"auto\">Remdesivir\u00a0treatment was associated with a slower time to mortality (HR 0.70, 95%CI 0.47<\/span><span data-contrast=\"auto\">\u00a0to\u00a0<\/span><span data-contrast=\"auto\">1.04<\/span><span data-contrast=\"auto\">\u00a0and\u00a0<\/span><span data-contrast=\"auto\">mortality by 14 days\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">7.1% vs 11.9%). Serious adverse events were reported in 21.1% of patients in the\u00a0remdesivir\u00a0group and 27% of patients in the placebo group.\u00a0\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<p><i><span data-contrast=\"none\">Beigel et al. (May 22, 2020).\u00a0Remdesivir\u00a0for the Treatment of Covid-19 &#8211; Preliminary Report. The N<\/span><\/i><i><span data-contrast=\"none\">ew England Journal of Medicine.<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1056\/NEJMoa2007764\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1056\/NEJMoa2007764<\/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-7090\" class=\"su-post\">\n<h5 class=\"su-post-title\">Spatial and Temporal Dynamics of SARS-CoV-2 in COVID-19 Patients A Systematic Review<\/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=\"38\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">A meta-analysis of 22 studies comprising 650 COVID-19 patients found that the duration of positive detection of SARS-CoV-2<\/span><span data-contrast=\"auto\">\u00a0following symptom onset among mild cases was 12.1 days in samples from the upper respiratory tract (URT), 24.1 days in samples from the lower respiratory tract (LRT), and 15.5 days in\u00a0<\/span><span data-contrast=\"auto\">fec<\/span><span data-contrast=\"auto\">al samples. Differences in the duration of viral detection between mild and moderate-severe patients are limited in the LRT, but there is an indication of longer duration of viral detection in feces and the URT for moderate-severe patients. Findings are similar in c<\/span><span data-contrast=\"auto\">hildren with mild symptoms<\/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\">Weiss et al. (May 23, 2020). Spatial and Temporal Dynamics of SARS-CoV-2 in COVID-19 Patients A Systematic Review.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.21.20108605\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.21.20108605<\/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>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span style=\"font-weight: 400\">Vaccines<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7096\" class=\"su-post\">\n<h5 class=\"su-post-title\">Safety, Tolerability, and Immunogenicity of a Recombinant Adenovirus Type-5 Vectored COVID-19 Vaccine: A Dose-Escalation, Open-Label, Non-Randomised, First-in-Human Trial<\/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=\"36\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">A phase 1 trial of an adenovirus type-5 vectored COVID-19 vaccine expressing the spike glycoprotein of SARS-CoV-2 was conducted in Wuhan, China (dose-escalation, single-center, open-label, non-randomized). Thirty-six participants received each dose of the vaccine (low, middle, high). At least one adverse reaction within 7 days of vaccination was reported in 83% of participants in the low-dose group, 83% in the middle-dose group, and 75% in the high-dose group, including pain (54%), fever (46%), fatigue (44%), headache (39%) and muscle pain (17%). No serious adverse events were noted within 28 days\u00a0post-vaccination.\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><span data-contrast=\"auto\">ELISA antibodies and neutralizing antibodies increased significantly\u00a0at\u00a0day\u00a014, and\u00a0peaked\u00a028\u00a0days\u00a0post-vaccination. Specific T-cell response peaked\u00a0at\u00a0day 14 post-vaccination.\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<p><i><span data-contrast=\"none\">Zhu et al. (May 2020). Safety, Tolerability, and Immunogenicity of a Recombinant Adenovirus Type-5 Vectored COVID-19 Vaccine: A Dose-Escalation, Open-Label, Non-Randomised, First-in-Human Trial. Lancet.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/S0140-6736(20)31208-3\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/S0140-6736(20)31208-3<\/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-7094\" class=\"su-post\">\n<h5 class=\"su-post-title\">Determinants of COVID-19 Vaccine Acceptance in the U.S.<\/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=\"36\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Out of 672 US adults surveyed during an online platform in May 2020, 450 (67%) said they would accept a COVID-19 vaccine if recommended for them. A greater acceptance the vaccine was found among males (72% vs 63%), adults older than 55 (78% vs 56-64%), Asians (81% vs 40-74%), and college and\/or graduate degree holders (75% vs 51-63%). Acceptance of a COVID-19 vaccine was generally higher than for an influenza vaccine. Among respondents from Department of Health and Human Services regions 2 (New York) and 5 (Chicago), there was less than 50% COVID-19 vaccine acceptance.\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<p><i><span data-contrast=\"none\">Malik et al. (May 24, 2020). Determinants of COVID-19 Vaccine Acceptance in the U.S. Pre-print downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.22.20110700\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.22.20110700<\/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>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span style=\"font-weight: 400\">Clinical Characteristics and Health Care Setting<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7106\" class=\"su-post\">\n<h5 class=\"su-post-title\">Risk Stratification of Hospitalized COVID-19 Patients through Comparative Studies of Laboratory Results with Influenza<\/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=\"37\" data-aria-posinset=\"2\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Comparing clinical and laboratory results from 719 influenza and 973 COVID-19 patients from January to April<\/span><span data-contrast=\"auto\">, using<\/span><span data-contrast=\"auto\">\u00a0parameters that ar<\/span><span data-contrast=\"auto\">e<\/span><span data-contrast=\"auto\">\u00a0most significantly different between COVID-19 and influenza, COVID-19 patients were sub-classified into 5 clusters through a hierarchical clustering analysis. Risk stratification of these clusters using medical record review found that the highest-risk cluster had a 27.8% case fatality, 94% ICU admission, 94% intubation, and 28% discharge rates (vs. 0%, 38%, 22%, and 88% in the lowest risk cluster).\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<p><i><span data-contrast=\"none\">Mei et al. (May 22, 2020). Risk Stratification of Hospitalized COVID-19 Patients through Comparative Studies of Laboratory Results with Influenza.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.18.20101709\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.18.20101709<\/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-7104\" class=\"su-post\">\n<h5 class=\"su-post-title\">Coronavirus Disease 2019 Test Results After Clinical Recovery and Hospital Discharge Among Patients in China<\/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=\"37\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">PCR tests on n<\/span><span data-contrast=\"auto\">asopharyngeal and anal swabs from\u00a0<\/span><span data-contrast=\"auto\">60\u00a0<\/span><span data-contrast=\"auto\">patients who had been hospitalized for COVID-19\u00a0<\/span><span data-contrast=\"auto\">found evidence of persistent viral shedding following discharge. Samples were collected\u00a0<\/span><span data-contrast=\"auto\">4-24 days after index hospital discharge<\/span><span data-contrast=\"auto\">\u00a0and\u00a0<\/span><span data-contrast=\"auto\">10\u00a0<\/span><span data-contrast=\"auto\">out of 60 patients had\u00a0<\/span><span data-contrast=\"auto\">positive results (16.7%; 5 nasopharyngeal and 6 anal).\u00a0<\/span><span data-contrast=\"auto\">None of these patients had clinical symptoms of COVID-19\u00a0<\/span><span data-contrast=\"auto\">at the time of sample collection\u00a0<\/span><span data-contrast=\"auto\">except for occasional cough in two patients older than 70 with multiple comorbidities<\/span><span data-contrast=\"auto\">; one such patient was PCR positive\u00a0<\/span><span data-contrast=\"auto\">by both samples\u00a0<\/span><span data-contrast=\"auto\">56 days after illness onset<\/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<p><i><span data-contrast=\"none\">Wu et al. (May 22, 2020). Coronavirus Disease 2019 Test Results After Clinical Recovery and Hospital Discharge Among Patients in China. JAMA Network Open.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.9759\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.9759<\/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-7102\" class=\"su-post\">\n<h5 class=\"su-post-title\">Analysis of Maternal Coronavirus Infections and Neonates Born to Mothers with 2019-NCoV; a Systematic Review<\/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=\"37\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">A systematic literature review\u00a0<\/span><span data-contrast=\"auto\">that\u00a0<\/span><span data-contrast=\"auto\">included 9 studies corresponding to 89 pregnant women<\/span><span data-contrast=\"auto\">\u00a0with SARS-CoV-2 infection<\/span><span data-contrast=\"auto\">\u00a0and their neonates\u00a0<\/span><span data-contrast=\"auto\">found low-grade fever and cough were the predominant symptoms, and that fetal distress, premature rupture of membranes, and preterm labor were the most common prenatal complications. Two women required ICU admission and ventilation, and one developed multi-organ dysfunction<\/span><span data-contrast=\"auto\">. N<\/span><span data-contrast=\"auto\">o maternal deaths were observed at study publication, and no fetal infection<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0through vertical transmission\u00a0<\/span><span data-contrast=\"auto\">were\u00a0<\/span><span data-contrast=\"auto\">documented.<\/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\">Muhidin et al. (2020). Analysis of Maternal Coronavirus Infections and Neonates Born to Mothers with 2019-NCoV; a Systematic Review. Archives of Academic Emergency Medicine<\/span><\/i><i><span data-contrast=\"none\">.\u00a0<\/span><\/i><i><span data-contrast=\"none\">PMCID:\u00a0<\/span><\/i><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC7211430\/\"><span data-contrast=\"none\">PMC7211430<\/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-7100\" class=\"su-post\">\n<h5 class=\"su-post-title\">Clinical Features and Outcomes of 105 Hospitalized Patients with COVID-19 in Seattle, Washington<\/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=\"37\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">A descriptive study of all laboratory-confirmed COVID-19 adult patients admitted to an academic medical center in Seattle, WA between March 2 and March 26, 2020 (n=105) found that 35% were admitted from a senior home or skilled nursing facility.\u00a0Median\u00a0age was 69 years and half were women. Three or more comorbidities were present in 55% of patients, and 63% had symptoms for 5 or more days prior to admission. Only 39% had fever in the first 24 hours, while 41% had hypoxia at admission and 73% had low lymphocytes. Severe disease occurred in 49%, 18% received mechanical ventilation, and overall case fatality was 33%. No co-infections with other viruses were identified in a subset of 50 samples.<\/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\">Buckner et al. (May 2020). Clinical Features and Outcomes of 105 Hospitalized Patients with COVID-19 in Seattle, Washington. Clinical Infectious Diseases:\u00a0An Official\u00a0Publication of the Infectious Diseases Society of America.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa632\"><i><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/cid\/ciaa632<\/span><\/i><\/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-7098\" class=\"su-post\">\n<h5 class=\"su-post-title\">Incidence, Clinical Outcomes, and Transmission Dynamics of Severe Coronavirus Disease 2019 in California and Washington: 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><span data-contrast=\"auto\">Out of over 9 million healthcare plan enrollees in northern California, southern California, and Washington State, the cumulative incidence of first hospital admission for COVID-19 by April 22 was 15.6 per 100,000 persons in northern California, 23.3 per 100,000 persons in southern California, and 14.7 per 100,000 persons in Washington.\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=\"39\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Median\u00a0duration of hospital stay was 9.3 days among survivors and 12.7 days among non-survivors. Probability of ICU admission was 48.5% for male patients and 32% for female patients and median duration of ICU stay was 10.6 days.<\/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=\"39\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Case fatality among admitted patients was 23.5% among male patients and 14.9% among female inpatients, with case fatality increasing by age for both sexes.\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=\"39\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">The reproductive number declined during the study period in each region.\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<p><i><span data-contrast=\"none\">Lewnard et al. (May 22, 2020). Incidence, Clinical Outcomes, and Transmission Dynamics of Severe Coronavirus Disease 2019 in California and Washington: Prospective Cohort Study. BMJ.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1136\/bmj.m1923\"><i><span data-contrast=\"none\">https:\/\/doi.org\/10.1136\/bmj.m1923<\/span><\/i><\/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>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span style=\"font-weight: 400\">Modeling and Prediction<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7112\" class=\"su-post\">\n<h5 class=\"su-post-title\">Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States<\/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=\"36\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Zou et al. propose the\u00a0SuEIR\u00a0model, which extends the SEIR model by accounting for untested\/unreported cases of COVID-19, and train this model using machine learning algorithms<\/span><span data-contrast=\"auto\">. Forecasts from th<\/span><span data-contrast=\"auto\">e<\/span><span data-contrast=\"auto\">\u00a0model\u00a0<\/span><span data-contrast=\"auto\">predict<\/span><span data-contrast=\"auto\">\u00a0the peak date<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0of the\u00a0<\/span><span data-contrast=\"auto\">outbreak in the\u00a0<\/span><span data-contrast=\"auto\">US<\/span><span data-contrast=\"auto\">\u00a0(June 1)<\/span><span data-contrast=\"auto\">, New York\u00a0<\/span><span data-contrast=\"auto\">State (May 10)<\/span><span data-contrast=\"auto\">, and California\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">July 1<\/span><span data-contrast=\"auto\">).\u00a0<\/span><span data-contrast=\"auto\">E<\/span><span data-contrast=\"auto\">stimated<\/span><span data-contrast=\"auto\">\u00a0basic reproduction number<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0(<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">0<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-contrast=\"auto\">are 2.5<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">for the US,\u00a0<\/span><span data-contrast=\"auto\">3.6<\/span><span data-contrast=\"auto\">\u00a0for New York<\/span><span data-contrast=\"auto\">, and 2.2<\/span><span data-contrast=\"auto\">\u00a0for California<\/span><span data-contrast=\"auto\">. Results for all states<\/span><span data-contrast=\"auto\">:<\/span><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/covid19.uclaml.org\/\"><span data-contrast=\"none\">https:\/\/covid19.uclaml.org<\/span><\/a><span data-contrast=\"auto\">. These<\/span><span data-contrast=\"auto\">\u00a0predictions have been adopted by the CDC for\u00a0COVID-19 death forecasts.\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<p><i><span data-contrast=\"none\">Zou et al. (May 25, 2020). Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.24.20111989\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.24.20111989<\/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-7110\" class=\"su-post\">\n<h5 class=\"su-post-title\">A Score-Based Risk Model for Predicting Severe COVID-19 Infection as a Key Component of Lockdown Exit Strategy<\/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=\"36\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Dagan et al.\u00a0<\/span><span data-contrast=\"auto\">u<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">\u00a0retrospective data from all COVID-19 patients diagnosed by April 1, 2020 in a large healthcare organization<\/span><span data-contrast=\"auto\">\u00a0(n=2,421)<\/span><span data-contrast=\"auto\">\u00a0to\u00a0<\/span><span data-contrast=\"auto\">develop a tool\u00a0<\/span><span data-contrast=\"auto\">that\u00a0<\/span><span data-contrast=\"auto\">sums over 10 risk factors to predict risk of severe COVID-19 illness or death (basic risk, high risk, very high risk).\u00a0<\/span><span data-contrast=\"auto\">The risk score had similar sensitivity to detect severe cases of COVID-19 disease compared to the CDC criteria\u00a0(\u00a0<\/span><span data-contrast=\"auto\">92%<\/span><span data-contrast=\"auto\">\u00a0versus<\/span><span data-contrast=\"auto\">\u00a096%<\/span><span data-contrast=\"auto\">) but resulted in\u00a0<\/span><span data-contrast=\"auto\">far fewer members of the general population<\/span><span data-contrast=\"auto\">\u00a0who would be classified as being at high risk\u00a0of\u00a0<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">COVID-19 disease. Such a risk score could\u00a0<\/span><span data-contrast=\"auto\">enabling\u00a0better targeting of\u00a0<\/span><span data-contrast=\"auto\">risk mitigation strategies while planning a lockdown exit strategy<\/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<p><i><span data-contrast=\"none\">Dagan et al. (May 23, 2020). A Score-Based Risk Model for Predicting Severe COVID-19 Infection as a Key Component of Lockdown Exit Strategy.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.20.20108571\"><i><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.20.20108571<\/span><\/i><\/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-7108\" class=\"su-post\">\n<h5 class=\"su-post-title\">Visualizing the Invisible:\u00a0The Effect of Asymptomatic Transmission on the Outbreak Dynamics of COVID-19<\/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=\"39\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Peirlinck\u00a0et al. us<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">\u00a0reported symptomatic case data, antibody seroprevalence studies, a mathematical epidemiology model, and a Bayesian framework to infer the epidemiological characteristics of COVID-19 and predict R<\/span><span data-contrast=\"auto\">t<\/span><span data-contrast=\"auto\">. This approach found outbreak dynamics to be sensitive to R<\/span><span data-contrast=\"auto\">t<\/span><span data-contrast=\"auto\">, the ratio of symptomatic to asymptomatic populations, and the infectious periods of both groups.\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=\"39\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">For three locations for which seroprevalence data are available, this model estimated the proportion of the population that has been infected and recovered by May 13 to be 6.2% (Santa Clara, CA), 22.7% (New York, NY) and 20.5% Heinsberg (Germany).\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<p><i><span data-contrast=\"none\">Peirlinck\u00a0et al. (May 26, 2020). Visualizing the Invisible<\/span><\/i><i><span data-contrast=\"none\">:<\/span><\/i><i><span data-contrast=\"none\">\u00a0The Effect of Asymptomatic Transmission on the Outbreak Dynamics of COVID-19. Pre-print\u00a0downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.23.20111419\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.23.20111419<\/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>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span class=\"TextRun SCXW58614209 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW58614209 BCX0\" data-ccp-parastyle=\"heading 2\">Public Health Policy and Practice<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7116\" class=\"su-post\">\n<h5 class=\"su-post-title\">Super-Spreader Businesses and Risk of COVID-19 Transmission<\/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=\"36\" data-aria-posinset=\"1\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">O\u2019Donoghue et al. classified businesses by their transmission risk\u00a0<\/span><span data-contrast=\"auto\">based on the frequency and duration of visits and square footage of businesses pre-pandemic\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">2019<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">\u00a0in 8 states (New England, New York, California).\u00a0<\/span><span data-contrast=\"auto\">Using this\u00a0information\u00a0they classified businesses as potential \u201csuper-spreaders.\u201d\u00a0<\/span><span data-contrast=\"auto\">In a county-level analysis t<\/span><span data-contrast=\"auto\">hey q<\/span><span data-contrast=\"auto\">uantified the relationship between the density of super-spreader businesses and COVID-19 cases<\/span><span data-contrast=\"auto\">\u00a0and found a 1% higher density of super-spreader businesses was associated with a 5% higher rate of COVID-19 cases<\/span><span data-contrast=\"auto\">\u00a0after controlling for population density and demographic variables<\/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<p><i><span data-contrast=\"none\">O\u2019Donoghue et al. (May 25, 2020). Super-Spreader Businesses and Risk of COVID-19 Transmission.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 26 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.24.20112110\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.24.20112110<\/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-7114\" class=\"su-post\">\n<h5 class=\"su-post-title\">COVID-19 Confirmed Case Incidence Age Shift to Young Persons Age 0-19 and 20-39 Years Over Time Washington State March &#8211; April 2020<\/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=\"36\" data-aria-posinset=\"2\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">A longitudinal cohort study\u00a0<\/span><span data-contrast=\"auto\">found that from March 1 to April 19, 2020, the age distribution of confirmed COVID-19<\/span><span data-contrast=\"auto\">\u00a0cases in Washington State<\/span><span data-contrast=\"auto\">\u00a0shifted, with a 10% decline in cases 60 years or older and a 20% increase in cases 0-39 years old.\u00a0<\/span><span data-contrast=\"auto\">After the peak (March 22), there was no decline among cases 0-19 years old, and the decline among\u00a0ages\u00a020-39 was less than older age groups. A targeted approach for awareness and safety measures is advisable as states and counties enter phased re-opening lead to an increase in non-essential work and social activities.\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<p><i><span data-contrast=\"none\">Malmgren et al. (May 23, 2020). COVID-19 Confirmed Case Incidence Age Shift to Young Persons Age 0-19 and 20-39 Years Over Time Washington State March &#8211; April 2020.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 26 from<\/span><\/i><i><span data-contrast=\"auto\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.21.20109389\"><i><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.21.20109389<\/span><\/i><\/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>\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=\"40\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1016\/j.tics.2020.05.001\"><span data-contrast=\"none\">Peer Influence in Adolescence: Public-Health Implications for COVID-19.<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Trends in Cognitive Sciences<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"http:\/\/doi.org\/10.1001\/jama.2020.7563\"><span data-contrast=\"none\">Labor and Delivery Visitor Policies During the COVID-19 Pandemic: Balancing Risks and Benefits.<\/span><\/a><span data-contrast=\"auto\">\u2014JAMA (May 22)<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"3\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.3390\/vaccines8020236\"><span data-contrast=\"none\">Dynamics of Population Immunity Due to the Herd Effect in the COVID-19 Pandemic<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 vaccines (April 23)<\/span><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><\/li>\n<li><a href=\"http:\/\/doi.org\/10.1001\/jama.2020.9252\"><span data-contrast=\"none\">Translating Science on COVID-19 to Improve Clinical Care and Support the Public Health Response<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 JAMA (May 22)<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"http:\/\/doi.org\/10.1001\/jama.2020.8524\"><span data-contrast=\"none\">Nursing Home Care in Crisis in the Wake of COVID-19<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 JAMA (May 22)<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.05.22.20102525\"><span data-contrast=\"none\">Study on the expression levels of antibodies against SARS-CoV-2 at different period of disease and its related factors in 192 cases of COVID-19 patients<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 pre-print (May 26)<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"3\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.22037\/aaem.v8i1.634\"><span data-contrast=\"none\">Clinical Characteristics of COVID-19 Infection in Newborns and Pediatrics: A Systematic Review<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Archives of Academic Emergency Medicine<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"4\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1016\/S1473-3099(20)30426-6\"><span data-contrast=\"none\">A future vaccination campaign against COVID-19 at risk of vaccine hesitancy and politicisation<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Lancet Infectious Diseases (May 20)<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"5\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.05.23.20111278\"><span data-contrast=\"none\">The transmission of SARS-CoV-2 is likely comodulated by temperature and by relative humidity<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 pre-print (May 26)<\/span><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><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1101\/2020.05.17.20104547\"><span data-contrast=\"none\">Meteorological Conditions and Covid-19 in Large U.S. Cities<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 pre-print (May 22)<\/span><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><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"40\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.05.21.20107581\"><span data-contrast=\"none\">Prevalence of SARS-CoV-2 infection among asymptomatic healthcare workers in greater Houston: a cross-sectional analysis of surveillance data from a large healthcare system<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 pre-print (May 25)<\/span><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><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>A double-blind randomized trial found that remdesivir use in hospitalized adult COVID-19 patients results in faster recovery. There was non-significant evidence of lower mortality by 14 days.  <\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/26\/covid-19-confirmed-case-incidence-age-shift-to-young-persons-age-0-19-and-20-39-years-over-time-washington-state-march-april-2020\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":347,"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-7086","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\/7086","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=7086"}],"version-history":[{"count":2,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7086\/revisions"}],"predecessor-version":[{"id":7119,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7086\/revisions\/7119"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media\/347"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=7086"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=7086"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=7086"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=7086"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}