{"id":7619,"date":"2020-06-18T15:40:59","date_gmt":"2020-06-18T22:40:59","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=7619"},"modified":"2021-03-25T15:55:27","modified_gmt":"2021-03-25T22:55:27","slug":"covid-19-literature-situation-report-june-18-2020","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/06\/18\/covid-19-literature-situation-report-june-18-2020\/","title":{"rendered":"COVID-19 Literature Situation Report June 18, 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 genome-wide association study\u00a0<\/span><\/b><b><span data-contrast=\"auto\">identified two separate loci associated with genetic susceptibility to severe COVID-19 disease.\u00a0<\/span><\/b><b><span data-contrast=\"auto\">One of the loci\u00a0<\/span><\/b><b><span data-contrast=\"auto\">coincides with the ABO blood group locus<\/span><\/b><b><span data-contrast=\"auto\">. The genetic results found blood group O was associated with lower risk of COVID-19 while blood group A was associated with higher risk of severe disease<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1056\/NEJMoa2020283\"><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\">Modeling estimates indicate tha<\/span><\/b><b><span data-contrast=\"auto\">t r<\/span><\/b><b><span data-contrast=\"auto\">esponding to an outbreak in a jail system with depopulation, single celling, and asymptomatic testing could prevent a large proportion of hospitalizations and deaths<\/span><\/b><b><span data-contrast=\"auto\">\u00a0among jail staff and prisoners.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1101\/2020.06.16.20133280\"><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\">SARS-CoV-2 i<\/span><\/b><b><span data-contrast=\"auto\">nfection prevalence\u00a0<\/span><\/b><b><span data-contrast=\"auto\">was 5.3%\u00a0<\/span><\/b><b><span data-contrast=\"auto\">among\u00a0<\/span><\/b><b><span data-contrast=\"auto\">University of Washington<\/span><\/b><b><span data-contrast=\"auto\">\u00a0Medicine employees\u00a0<\/span><\/b><b><span data-contrast=\"auto\">who\u00a0<\/span><\/b><b><span data-contrast=\"auto\">were tested<\/span><\/b><b><span data-contrast=\"auto\">\u00a0at\u00a0<\/span><\/b><b><span data-contrast=\"auto\">drive-through rapid testing centers. Frontline healthcare workers and non-frontline staff had similar infection prevalence.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa761\"><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\">Using age<\/span><\/b><b><span data-contrast=\"auto\">&#8211;<\/span><\/b><b><span data-contrast=\"auto\">specif<\/span><\/b><b><span data-contrast=\"auto\">i<\/span><\/b><b><span data-contrast=\"auto\">c<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">mortality patterns across US counties, investigators predict that rural areas may experience a higher per capita burden of disease and healthcare system demand<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1038\/s41591-020-0952-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<\/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\">Non-Pharmaceutical Interventions<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7621\" class=\"su-post\">\n<h5 class=\"su-post-title\">Measure What Matters: Counts of Hospitalized Patients Are a Better Metric for Health System Capacity Planning for a Reopening<\/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=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">Kashyap<\/span><span data-contrast=\"auto\">\u00a0et al.\u00a0<\/span><span data-contrast=\"auto\">used\u00a0<\/span><span data-contrast=\"auto\">data from\u00a0<\/span><span data-contrast=\"auto\">Stanford\u00a0<\/span><span data-contrast=\"auto\">University medical\u00a0<\/span><span data-contrast=\"auto\">facilities between March 2 and April 11, 2020<\/span><span data-contrast=\"auto\">\u00a0to measure to the impact of Shelter-In-Place<\/span><span data-contrast=\"auto\">\u00a0orders<\/span><span data-contrast=\"auto\">\u00a0on hospital utilization. They<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">observed a marked slowdown in\u00a0<\/span><span data-contrast=\"auto\">the\u00a0<\/span><span data-contrast=\"auto\">hospitalization rate within ten days of Shelter-In-Place<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">orders<\/span><span data-contrast=\"auto\">\u00a0and a shift toward younger ages among COVID-19 patients. The authors discuss that current published prediction models use case counts that do not account for the demographic distributions of COVID-19 patients and that age stratified\u00a0<\/span><span data-contrast=\"auto\">local hospitalization rates\u00a0<\/span><span data-contrast=\"auto\">could improve<\/span><span data-contrast=\"auto\">\u00a0model<\/span><span data-contrast=\"auto\">ing\u00a0<\/span><span data-contrast=\"auto\">accura<\/span><span data-contrast=\"auto\">cy to\u00a0<\/span><span data-contrast=\"auto\">estimate the resource burden on health systems.<\/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\">Kashyap<\/span><\/i><i><span data-contrast=\"none\">\u00a0et al. (June 17, 2020). Measure What Matters: Counts of Hospitalized Patients Are a Better Metric for Health System Capacity Planning for a Reopening. Journal of the American Medical Informatics Association.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/jamia\/ocaa076\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/jamia\/ocaa076<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><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\">Transmission<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7623\" class=\"su-post\">\n<h5 class=\"su-post-title\">Asymptomatic SARS-CoV-2 Infection and COVID-19 Mortality during an Outbreak Investigation in a Skilled Nursing Facility<\/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=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">Patel et al. conducted an outbreak investigation at a skilled nurse facility in Illinois on March 15 and followed 126 residents tested for COVID-19 for 30 days. Of the 33 confirmed cases at the beginning, 58% were symptomatic, 39% remained asymptomatic, and 3% developed symptoms over follow-up. The 30-day probability of death among cases was 29%.<\/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. (June 16, 2020). Asymptomatic SARS-CoV-2 Infection and COVID-19 Mortality during an Outbreak Investigation in a Skilled Nursing Facility. Clinical Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa763\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/cid\/ciaa763<\/span><\/a><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">\u00a0<\/span><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-7633\" class=\"su-post\">\n<h5 class=\"su-post-title\">Towards Intervention Development to Increase the Uptake of COVID-19 Vaccination among Those at High Risk Outlining Evidence-Based and Theoretically Informed Future Intervention Content<\/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=\"2019\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[pre-print, not peer reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">To assess barriers and facilitators to receiving a future COVID-19 vaccine among high-risk individuals, Williams et al. conducted a cross-sectional survey among 527 UK adults (mean age = 59.5) and found that 86% of respondents want to receive a vaccine. Perceiving that COVID-19 will persist for a long time\u00a0<\/span><span data-contrast=\"auto\">was positively correlated<\/span><span data-contrast=\"auto\">\u00a0with wanting a vaccine, while perceiving that the media has over-exaggerated the risk had a negative association.<\/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\">Williams et al. (June 17, 2020). Towards Intervention Development to Increase the Uptake of COVID-19 Vaccination among Those at High Risk Outlining Evidence-Based and Theoretically Informed Future Intervention Content.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print downloaded June 18 from<\/span><\/i><i><span data-contrast=\"none\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.06.16.20132480\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.06.16.20132480<\/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-7631\" class=\"su-post\">\n<h5 class=\"su-post-title\">Diagnostic Accuracy of Six Commercial SARS-CoV-2\u00a0IgGtotal\u00a0Antibody Assays and Identification of SARS-CoV-2 Neutralizing Antibodies in Convalescent Sera<\/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=\"2019\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[pre-print, not peer reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0Using<\/span><span data-contrast=\"auto\">\u00a0a set of 34 serum samples obtained from\u00a0<\/span><span data-contrast=\"auto\">26\u00a0<\/span><span data-contrast=\"auto\">COVID-19 positive patients<\/span><span data-contrast=\"auto\">\u00a0with PCR-confirmed\u00a0<\/span><span data-contrast=\"auto\">SARS-CoV-2 infection<\/span><span data-contrast=\"auto\">,\u00a0<\/span><span data-contrast=\"auto\">Stroemer<\/span><span data-contrast=\"auto\">\u00a0et al. compared the diagnostic accuracy of six commercially available antibody tests.\u00a0<\/span><span data-contrast=\"auto\">Sensitivity ranged from 79.4%\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">Euroimmun<\/span><span data-contrast=\"auto\">) to 9<\/span><span data-contrast=\"auto\">6<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">2<\/span><span data-contrast=\"auto\">% (Abbott).\u00a0<\/span><span data-contrast=\"auto\">Based on 100 samples from negative individuals, specificity ranged from 97% (<\/span><span data-contrast=\"auto\">Euroimmun<\/span><span data-contrast=\"auto\">) to 100% (Epitope), with 99% sensitivity for Abbot and Roche tests.\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=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">A high proportion of serum samples demonstrated neutralizing capacity against 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\">Stroemer<\/span><\/i><i><span data-contrast=\"none\">\u00a0et al. (June 17, 2020). Diagnostic Accuracy of Six Commercial SARS-CoV-2\u00a0<\/span><\/i><i><span data-contrast=\"none\">IgGtotal<\/span><\/i><i><span data-contrast=\"none\">\u00a0Antibody Assays and Identification of SARS-CoV-2 Neutralizing Antibodies in Convalescent Sera.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print downloaded June 18 from<\/span><\/i><i><span data-contrast=\"none\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.06.15.20131672\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.06.15.20131672<\/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-7629\" class=\"su-post\">\n<h5 class=\"su-post-title\">Performance of Oropharyngeal Swab Testing Compared to Nasopharyngeal Swab Testing for Diagnosis of COVID-19 \u2014United States, January-February 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=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">Investigators analyzed data on 146 nasopharyngeal (NP) and oropharyngeal (OP) swab pairs collected\u00a0<\/span><span data-contrast=\"auto\">\u2264<\/span><span data-contrast=\"auto\">\u00a07 days after<\/span><span data-contrast=\"auto\">\u00a0COPVID-19<\/span><span data-contrast=\"auto\">\u00a0illness onset and tested\u00a0<\/span><span data-contrast=\"auto\">them\u00a0<\/span><span data-contrast=\"auto\">with RT-PCR for SARS-CoV-2 and found diagnostic results were 95.2% concordant. Results also show<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">\u00a0that NP swabs could contain more viral material,\u00a0<\/span><span data-contrast=\"auto\">resulting in lower cycle times, suggestion that NP swabs may have higher sensitivity to detect lower viral concentrations<\/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\">Patel et al. (June 16, 2020). Performance of Oropharyngeal Swab Testing Compared to Nasopharyngeal Swab Testing for Diagnosis of COVID-19 \u2014United States, January-February 2020. Clinical Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa759\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/cid\/ciaa759<\/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-7627\" class=\"su-post\">\n<h5 class=\"su-post-title\">Real-Time Reverse Transcription Loop-Mediated Isothermal Amplification for Rapid Detection of SARS-CoV-2<\/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=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">Lau et al. developed a reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay for rapid detection of SARS-CoV-2.\u00a0<\/span><span data-contrast=\"auto\">In comparison to<\/span><span data-contrast=\"auto\">\u00a0the RT-qPCR assay, the investigators reported\u00a0<\/span><span data-contrast=\"auto\">that the RT-LAMP assay was 2.5 times faster<\/span><span data-contrast=\"auto\">\u00a0and\u00a0<\/span><span data-contrast=\"auto\">had\u00a0<\/span><span data-contrast=\"auto\">a clinical sensitivity and specificity of 100%.<\/span><span data-contrast=\"auto\">\u00a0However, the RT-LAMP assay had a\u00a0<\/span><span data-contrast=\"auto\">5-fold higher limit of detection,\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\">Lau et al. (June 3, 2020). Real-Time Reverse Transcription Loop-Mediated Isothermal Amplification for Rapid Detection of SARS-CoV-2.\u00a0<\/span><\/i><i><span data-contrast=\"none\">PeerJ<\/span><\/i><i><span data-contrast=\"none\">.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.7717\/peerj.9278\"><span data-contrast=\"none\">https:\/\/doi.org\/10.7717\/peerj.9278<\/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-7625\" class=\"su-post\">\n<h5 class=\"su-post-title\">GLUCOCOVID A Controlled Trial of Methylprednisolone in Adults Hospitalized with COVID-19 Pneumonia<\/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=\"2019\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[pre-print, not peer reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">In a partially randomized<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">open-label trial<\/span><span data-contrast=\"auto\">\u00a0among patients hospitalized with COVID-19 pneumonia (n=85)<\/span><span data-contrast=\"auto\">, methylprednisolone was associated with a reduced risk of death, ICU admission, or non-invasive ventilation (RR =0.55, 95% CI: 0.33-0.91).<\/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\">Corral et al. (June 18, 2020). GLUCOCOVID A Controlled Trial of Methylprednisolone in Adults Hospitalized with COVID-19 Pneumonia.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print downloaded June 18 from<\/span><\/i><i><span data-contrast=\"none\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.06.17.20133579\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.06.17.20133579<\/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-7639\" class=\"su-post\">\n<h5 class=\"su-post-title\">Prevalence of COVID-19 Infection and Outcomes\u00a0Among\u00a0Symptomatic Healthcare Workers 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=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">Mani et al. tested 3,477 symptomatic\u00a0<\/span><span data-contrast=\"auto\">University of Washington\u00a0<\/span><span data-contrast=\"auto\">Medicine employees between March 12 and April 23\u00a0<\/span><span data-contrast=\"auto\">at<\/span><span data-contrast=\"auto\">\u00a0two high-throughput\u00a0<\/span><span data-contrast=\"auto\">employee testing<\/span><span data-contrast=\"auto\">\u00a0centers in Seattle,<\/span><span data-contrast=\"auto\">\u00a0WA<\/span><span data-contrast=\"auto\">\u00a0and found a prevalence of 5.3% for\u00a0<\/span><span data-contrast=\"auto\">SARS-CoV-2<\/span><span data-contrast=\"auto\">\u00a0infection. Infection prevalence was similar between frontline healthcare workers (5.2%) and non-frontline staff (5.5%).\u00a0<\/span><span data-contrast=\"auto\">Six<\/span><span data-contrast=\"auto\">\u00a0employees reported COVID-19 related hospitalization, and all recovered.<\/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\">Mani et al. (June 16, 2020). Prevalence of COVID-19 Infection and Outcomes\u00a0<\/span><\/i><i><span data-contrast=\"none\">Among<\/span><\/i><i><span data-contrast=\"none\">\u00a0Symptomatic Healthcare Workers in Seattle, Washington. Clinical Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa761\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/cid\/ciaa761<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><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-7637\" class=\"su-post\">\n<h5 class=\"su-post-title\">COVID-19 Outcomes Risk Factors and Associations by Race a Comprehensive Analysis Using Electronic Health Records Data in Michigan Medicine<\/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=\"2019\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[pre-print, not peer reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0A<\/span><span data-contrast=\"auto\">nalyses of a non-random sample of 5,698 patients tested for COVID-19 in a Michigan health facility reveal<\/span><span data-contrast=\"auto\">\u00a0that, adjusted for a<\/span><span data-contrast=\"auto\">ge, sex, and socioeconomic status<\/span><span data-contrast=\"auto\">,\u00a0<\/span><span data-contrast=\"auto\">non-Hispanic\u00a0<\/span><span data-contrast=\"auto\">A<\/span><span data-contrast=\"auto\">frican Americans were 1.<\/span><span data-contrast=\"auto\">7<\/span><span data-contrast=\"auto\">\u00a0times more likely to be hospitalized and 1.5 times more likely to enter<\/span><span data-contrast=\"auto\">\u00a0the<\/span><span data-contrast=\"auto\">\u00a0ICU. Stratifying by race<\/span><span data-contrast=\"auto\">, analyses found\u00a0<\/span><span data-contrast=\"auto\">older age, male sex, obesity, and neighborhood density were associated with hospitalization.<\/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\">Gu<\/span><\/i><i><span data-contrast=\"none\">\u00a0et al. (June 18, 2020). COVID-19 Outcomes Risk Factors and Associations by Race a Comprehensive Analysis Using Electronic Health Records Data in Michigan Medicine.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print downloaded June 18 from<\/span><\/i><i><span data-contrast=\"none\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.06.16.20133140\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.06.16.20133140<\/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-7635\" class=\"su-post\">\n<h5 class=\"su-post-title\">Genomewide\u00a0Association Study of Severe Covid-19 with Respiratory Failure<\/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=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">A genome<\/span><span data-contrast=\"auto\">&#8211;<\/span><span data-contrast=\"auto\">wide association study involving COVID-19 patients<\/span><span data-contrast=\"auto\">\u00a0(n=1,980)<\/span><span data-contrast=\"auto\">\u00a0at\u00a0<\/span><span data-contrast=\"auto\">7<\/span><span data-contrast=\"auto\">\u00a0hospitals in Europe identified\u00a0<\/span><span data-contrast=\"auto\">two separate loci associated with<\/span><span data-contrast=\"auto\">\u00a0genetic susceptibility\u00a0<\/span><span data-contrast=\"auto\">to severe COVID-19 disease<\/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=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">One locus on chromosome 3 spans\u00a0<\/span><span data-contrast=\"auto\">genes<\/span><span data-contrast=\"auto\">\u00a06 genes<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6 and XCR1<\/span><span data-contrast=\"auto\">),\u00a0<\/span><span data-contrast=\"auto\">several of which have functions that are potentially relevant to Covid-19<\/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=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">A second locus on chromosome 9 coincides with the ABO blood group locus. These genetic results show blood group O is associated with a lower risk of acquiring COVID-19, whereas blood group A is associated with a higher risk of severe COVID-19. These findings are consistent with previous non-genetic studies that have found an association between blood group A and severe COVID-19<\/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\">Ellinghaus<\/span><\/i><i><span data-contrast=\"none\">\u00a0et al. (June 17, 2020).\u00a0<\/span><\/i><i><span data-contrast=\"none\">Genomewide<\/span><\/i><i><span data-contrast=\"none\">\u00a0Association Study of Severe Covid-19 with Respiratory Failure. New England Journal of Medicine.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1056\/NEJMoa2020283\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1056\/NEJMoa2020283<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><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 SCXW88278310 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW88278310 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-7641\" class=\"su-post\">\n<h5 class=\"su-post-title\">Risk of Depression in Family Caregivers Unintended Consequence 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=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[pre-print, not peer reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0Gallagher and\u00a0<\/span><span data-contrast=\"auto\">Wetherell<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">found\u00a0<\/span><span data-contrast=\"auto\">that family caregivers<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">had<\/span><span data-contrast=\"auto\">\u00a0a higher risk of<\/span><span data-contrast=\"auto\">\u00a0depression than non-<\/span><span data-contrast=\"auto\">caregivers<\/span><span data-contrast=\"auto\">\u00a0in an analysis<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">u<\/span><span data-contrast=\"auto\">sing data from a longitudinal UK\u00a0<\/span><span data-contrast=\"auto\">population<\/span><span data-contrast=\"auto\">&#8211;<\/span><span data-contrast=\"auto\">level dataset\u00a0<\/span><span data-contrast=\"auto\">collected before and during the\u00a0<\/span><span data-contrast=\"auto\">COVID-19\u00a0<\/span><span data-contrast=\"auto\">pandemic<\/span><span data-contrast=\"auto\">.\u00a0<\/span><span data-contrast=\"auto\">Depression was higher among caregivers both before (17% vs 12%) and during the pandemic (22% vs 18%). Among caregivers, l<\/span><span data-contrast=\"auto\">oneliness\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">measured on a 3-point scale<\/span><span data-contrast=\"auto\">) was associated\u00a0<\/span><span data-contrast=\"auto\">with a nearly 4-fold higher odds<\/span><span data-contrast=\"auto\">\u00a0of\u00a0<\/span><span data-contrast=\"auto\">depression.<\/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\">Gallagher and\u00a0<\/span><\/i><i><span data-contrast=\"none\">Wetherell<\/span><\/i><i><span data-contrast=\"none\">. (June 17, 2020). Risk of Depression in Family Caregivers Unintended Consequence of COVID-19.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print downloaded June 18 from<\/span><\/i><i><span data-contrast=\"none\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.06.15.20131532\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.06.15.20131532<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><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-7645\" class=\"su-post\">\n<h5 class=\"su-post-title\">Disease and Healthcare Burden of COVID-19 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=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">Miller et al. projected the cumulative disease burden from COVID-19 at the US county level using age-specific mortality patterns and assuming 20% of the population of each county acquires infection. Comparing burden with hospital capacity, the investigators observed that per capita burden of disease and relative healthcare system demand may be higher in rural areas, suggesting the importance of equitable resource allocation to communities outside major urban areas.<\/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\">Miller et al. (June 16, 2020). Disease and Healthcare Burden of COVID-19 in the United States. Nature Medicine.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1038\/s41591-020-0952-y\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1038\/s41591-020-0952-y<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><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-7643\" class=\"su-post\">\n<h5 class=\"su-post-title\">The Effectiveness of Interventions to Reduce COVID-19 Transmission in a Large Urban Jail<\/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=\"2019\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[pre-print, not peer reviewed]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Malloy et al.<\/span><span data-contrast=\"auto\">\u00a0used<\/span><span data-contrast=\"auto\">\u00a0a stochastic dynamic transmission model to estimate various mitigation strategies\u00a0<\/span><span data-contrast=\"auto\">in response to a COVID-19 outbreak in a large urban US<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">jail among staff and prisoners<\/span><span data-contrast=\"auto\">. They<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">found<\/span><span data-contrast=\"auto\">\u00a0that\u00a0<\/span><span data-contrast=\"auto\">reducing\u00a0<\/span><span data-contrast=\"auto\">population, single celling, and\u00a0<\/span><span data-contrast=\"auto\">testing\u00a0<\/span><span data-contrast=\"auto\">asymptomatic\u00a0<\/span><span data-contrast=\"auto\">persons<\/span><span data-contrast=\"auto\">\u00a0could prevent approximately 83% of projected cases and hospitalizations and 89% of deaths<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">over 83 days<\/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\">Malloy et al. (June 18, 2020). The Effectiveness of Interventions to Reduce COVID-19 Transmission in a Large Urban Jail.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print downloaded June 18 from<\/span><\/i><i><span data-contrast=\"none\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.06.16.20133280\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.06.16.20133280<\/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>\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\/10.1101\/2020.06.17.155689\"><span data-contrast=\"none\">Ho<\/span><span data-contrast=\"none\">lder Pasteurization Inactivates SARS-CoV-2 in Human Breast Milk<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">Biorxiv<\/span><span data-contrast=\"auto\">\u00a0(Jun 17)<\/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\/10.1038\/d41586-020-01692-z\"><span data-contrast=\"none\">Why Children Avoid the Worst Coronavirus Complications Might Lie in Their Arteries<\/span><\/a><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">\u2013\u00a0<\/span><span data-contrast=\"auto\">Nature<\/span><span data-contrast=\"auto\">\u00a0(Jun 11)<\/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\/10.1128\/JVI.00647-20\"><span data-contrast=\"none\">The\u00a0<\/span><span data-contrast=\"none\">Nucleocapsid<\/span><span data-contrast=\"none\">\u00a0Protein of SARS-CoV-2: A Target for Vaccine Development<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Journal of Virology (Jun 16)<\/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\/s10943-020-01052-1\"><span data-contrast=\"none\">Religion as a Health Promoter During the 2019\/2020 COVID Outbreak: View from Detroit<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">Journal<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">of Religion and Health<\/span><span data-contrast=\"auto\">\u00a0(Jun 16)<\/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\/10.1177\/1942602X20935612\"><span data-contrast=\"none\">School Nurses on the Front Lines of Healthcare: The Approach to Maintaining Student Health and Wellness During COVID-19 School Closures<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">NASN<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">\u00a0School Nurse<\/span><span data-contrast=\"auto\">\u00a0(Jun 16)<\/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\/10.1038\/s41577-020-0367-5\"><span data-contrast=\"none\">Understanding SARS-CoV-2-Related Multisystem Inflammatory Syndrome in Children<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">Nature<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Reviews Immunology<\/span><span data-contrast=\"auto\">\u00a0(Jun 16)<\/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\/10.37765\/ajmc.2020.43142\"><span data-contrast=\"none\">Tests, Surgical Masks, Hospital Beds, and Ventilators: Add Big Data to the List of Tools to Fight the Coronavirus That Are in Short Supply<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">The<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">American Journal of Managed Care<\/span><span data-contrast=\"auto\">\u00a0(Jun 1)<\/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\/10.3205\/dgkh000346\"><span data-contrast=\"none\">Children and Adolescents in the CoVid-19 Pandemic: Schools and Daycare Centers Are to\u00a0<\/span><span data-contrast=\"none\">Be Opened<\/span><span data-contrast=\"none\">\u00a0Again without Restrictions. The Protection of Teachers, Educators,\u00a0<\/span><span data-contrast=\"none\">Carers<\/span><span data-contrast=\"none\">\u00a0and Parents and the General Hygiene Rules Do Not Conflict with This<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">GMS<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Hygiene and Infection Control<\/span><span data-contrast=\"auto\">\u00a0(May 28)<\/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>A genome-wide association study identified two separate loci associated with genetic susceptibility to severe COVID-19 disease. One of the loci coincides with the ABO blood group locus. The genetic results found blood group O was associated with lower risk of COVID-19 while blood group A was associated with higher risk of severe disease.<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/06\/18\/the-effectiveness-of-interventions-to-reduce-covid-19-transmission-in-a-large-urban-jail\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":6830,"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-7619","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\/7619","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=7619"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7619\/revisions"}],"predecessor-version":[{"id":7647,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7619\/revisions\/7647"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media\/6830"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=7619"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=7619"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=7619"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=7619"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}