{"id":6991,"date":"2020-05-20T15:41:22","date_gmt":"2020-05-20T22:41:22","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=6991"},"modified":"2021-03-19T17:35:28","modified_gmt":"2021-03-20T00:35:28","slug":"covid-19-literature-situation-report-may-20-2020","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/20\/covid-19-literature-situation-report-may-20-2020\/","title":{"rendered":"COVID-19 Literature Situation Report May 20, 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\">Based on a fluid particle dynamics model\u00a0<\/span><\/b><b><span data-contrast=\"auto\">of\u00a0<\/span><\/b><b><span data-contrast=\"auto\">the behavior of droplets released from the cough of a<\/span><\/b><b><span data-contrast=\"auto\">n infectious person, the social\u00a0distancing\u00a0policy of 6 feet may not be sufficient<\/span><\/b><b><span data-contrast=\"auto\">\u00a0under some<\/span><\/b><b><span data-contrast=\"auto\">\u00a0wind and relative humidity conditions<\/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=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">A\u00a0<\/span><\/b><b><span data-contrast=\"auto\">phylogenetic\u00a0<\/span><\/b><b><span data-contrast=\"auto\">analysis of the\u00a0<\/span><\/b><b><span data-contrast=\"auto\">COVID-19 pandemic\u00a0<\/span><\/b><b><span data-contrast=\"auto\">provides additional\u00a0<\/span><\/b><b><span data-contrast=\"auto\">evidence\u00a0<\/span><\/b><b><span data-contrast=\"auto\">for<\/span><\/b><b><span data-contrast=\"auto\">\u00a0three distinct lineages, with each having different demographic trajectories<\/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\">The performance of 100% cotton masks\u00a0<\/span><\/b><b><span data-contrast=\"auto\">is<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">shown to be\u00a0<\/span><\/b><b><span data-contrast=\"auto\">compar<\/span><\/b><b><span data-contrast=\"auto\">able<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">to that of medical grade masks in suppressing respiratory droplet<\/span><\/b><b><span data-contrast=\"auto\">s<\/span><\/b><b><span data-contrast=\"auto\">\u00a0in microenvironments such as a bedroom or a car<\/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=\"3\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">While\u00a0<\/span><\/b><b><span data-contrast=\"auto\">climate and weather conditions may\u00a0<\/span><\/b><b><span data-contrast=\"auto\">influence\u00a0<\/span><\/b><b><span data-contrast=\"auto\">the efficacy of control measures<\/span><\/b><b><span data-contrast=\"auto\">,<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">modeling indicates that\u00a0<\/span><\/b><b><span data-contrast=\"auto\">the population susceptibility remains the fundamental driver of controlling\u00a0<\/span><\/b><b><span data-contrast=\"auto\">COVID-19\u00a0<\/span><\/b><b><span data-contrast=\"auto\">outbreaks<\/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<\/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-6993\" class=\"su-post\">\n<h5 class=\"su-post-title\">Medical Mask versus Cotton Mask for Preventing Respiratory Droplet Transmission in\u00a0Micro Environments<\/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\">Ho et al.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">compared performance of medical masks and cotton masks in suppressing respiratory droplet<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0from a coughing infectious person.\u00a0<\/span><span data-contrast=\"auto\">P<\/span><span data-contrast=\"auto\">articles with size ranging 20-1000 nm (NC<\/span><span data-contrast=\"auto\">0.02-1<\/span><span data-contrast=\"auto\">) were\u00a0<\/span><span data-contrast=\"auto\">measured\u00a0<\/span><span data-contrast=\"auto\">for each participant while they were in a bedroom and a car wearing a medical mask and 100% cotton mask.\u00a0<\/span><span data-contrast=\"auto\">T<\/span><span data-contrast=\"auto\">here were no significant differences in<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">NC<\/span><span data-contrast=\"auto\">0.02-1<\/span><span data-contrast=\"auto\">\u00a0between participants with medical masks and cotton masks in either environment, suggesting that cotton masks\u00a0<\/span><span data-contrast=\"auto\">could be\u00a0<\/span><span data-contrast=\"auto\">a<\/span><span data-contrast=\"auto\">n<\/span><span data-contrast=\"auto\">\u00a0effective substitute for medical masks in curbing transmission in public.<\/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\">Ho et al. (May 2020). Medical Mask versus Cotton Mask for Preventing Respiratory Droplet Transmission in\u00a0Micro Environments. Science of the Total Environment.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2020.139510\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/j.scitotenv.2020.139510<\/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-6997\" class=\"su-post\">\n<h5 class=\"su-post-title\">Emerging Phylogenetic Structure of the SARS-CoV-2 Pandemic<\/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\">Fountain-Jones et al.\u00a0<\/span><span data-contrast=\"auto\">studied the phylogenetic structures underlying the SARS-CoV-2 pandemic and\u00a0find\u00a0support for three distinct lineages, each having different demographic trajectories. While\u00a0the majority of\u00a0sequences classified in\u00a0<\/span><span data-contrast=\"auto\">L<\/span><span data-contrast=\"auto\">ineage\u00a0<\/span><span data-contrast=\"auto\">A and B originated in China and\u00a0<\/span><span data-contrast=\"auto\">have been\u00a0<\/span><span data-contrast=\"auto\">subsequently found in Washington State and\u00a0<\/span><span data-contrast=\"auto\">throughout\u00a0<\/span><span data-contrast=\"auto\">the US,\u00a0<\/span><span data-contrast=\"auto\">L<\/span><span data-contrast=\"auto\">ineage\u00a0<\/span><span data-contrast=\"auto\">C was predominantly European with no<\/span><span data-contrast=\"auto\">\u00a0evidence<\/span><span data-contrast=\"auto\">\u00a0that it circulated in China.<\/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\">Demographic dynamics of the lineages are also concordant with known epidemiologic factors &#8211; for instance mutations affecting the increase in viral mutation rate specific to Lineage C support the hypothesis that Lineage C may have increased transmissibility compared to other lineages<\/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\">Fountain-Jones et al. (May 19, 2020). Emerging Phylogenetic Structure of the SARS-CoV-2 Pandemic.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 20 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.19.103846\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.19.103846<\/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-6995\" class=\"su-post\">\n<h5 class=\"su-post-title\">Influence of Wind and Relative Humidity on\u00a0the Social\u00a0Distancing Effectiveness to Prevent COVID-19 Airborne Transmission: A Numerical 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\">Feng et al\u00a0<\/span><span data-contrast=\"auto\">u<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">e\u00a0<\/span><span data-contrast=\"auto\">a validated computational fluid particle dynamics model to simulate the behavior of SARS-CoV-2 laden droplets emitted by coughs<\/span><span data-contrast=\"auto\">. They\u00a0<\/span><span data-contrast=\"auto\">f<\/span><span data-contrast=\"auto\">ind<\/span><span data-contrast=\"auto\">\u00a0that\u00a0<\/span><span data-contrast=\"auto\">under\u00a0<\/span><span data-contrast=\"auto\">various wind and relative humidity conditions, microdroplets can be transported much farther than the recommended social\u00a0distancing\u00a0policy of 6 feet.\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\">The simulations also support previous studies that even wearing facial masks in an unrealistically loose condition when coughing can significantly reduce the suspension of small droplets in the air.<\/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\">Feng et al. (May 2020). Influence of Wind and Relative Humidity on\u00a0the Social\u00a0Distancing Effectiveness to Prevent COVID-19 Airborne Transmission: A Numerical Study. Journal of Aerosol Science.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/j.jaerosci.2020.105585\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/j.jaerosci.2020.105585<\/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-7003\" class=\"su-post\">\n<h5 class=\"su-post-title\">Longitudinal Monitoring of SARS-CoV-2 IgM and IgG Seropositivity to Detect 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\"><span data-contrast=\"auto\">Suhandynata<\/span><span data-contrast=\"auto\">\u00a0et al.<\/span><span data-contrast=\"auto\">\u00a0evaluated the clinical performance of the\u00a0Diazyme\u00a0SARS-CoV-2 IgM\/IgG serology assay using a cohort of 54 PCR positive patients and an additional 235 negative samples<\/span><span data-contrast=\"auto\">. The assay had a\u00a0<\/span><span data-contrast=\"auto\">sensitivity of 100% and specificity of 98.7% at 15 or more days<\/span><span data-contrast=\"auto\">\u00a0after SARS-CoV-2 confirmation<\/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<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">The study also evaluated\u00a0time\u00a0to seroconversion in 14 patients who were seronegative on admission. The observed median ser<\/span><span data-contrast=\"auto\">o<\/span><span data-contrast=\"auto\">conversion to IgM and IgG was 5 days and 4 days following a positive PCR result, respectively.<\/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\">Suhandynata\u00a0et al. (May 19, 2020). Longitudinal Monitoring of SARS-CoV-2 IgM and IgG Seropositivity to Detect COVID-19. The Journal of Applied Laboratory Medicine.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/jalm\/jfaa079\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/jalm\/jfaa079<\/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-7001\" class=\"su-post\">\n<h5 class=\"su-post-title\">Artificial Intelligence-Enabled Rapid Diagnosis of Patients with 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\"><span data-contrast=\"auto\">Mei et al.<\/span><span data-contrast=\"auto\">\u00a0developed an\u00a0<\/span><span data-contrast=\"auto\">artificial intelligence (<\/span><span data-contrast=\"auto\">AI<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">\u00a0algorithm that integrates chest CT findings with clinical history to provide rapid diagnosis of COVID-19<\/span><span data-contrast=\"auto\">. The algorithm<\/span><span data-contrast=\"auto\">\u00a0achieve<\/span><span data-contrast=\"auto\">d<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">high discriminative performance (<\/span><span data-contrast=\"auto\">AUC<\/span><span data-contrast=\"auto\">=<\/span><span data-contrast=\"auto\">0.92<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-contrast=\"auto\">with equal sensitivity compared to a senior thoracic radiologist (84.3% vs 74.6%) on a test set of 279 patients.<\/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\">The algorithm also correctly identified 17 of 25 patients who\u00a0presented\u00a0with normal CT scans but had positive RT-PCR results, whereas radiologists classified all as COVID-19 negative<\/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\">While the generalizability of the algorithm is limited\u00a0by\u00a0sample size, it has useful implications as a potential screening tool.<\/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 19, 2020). Artificial Intelligence-Enabled Rapid Diagnosis of Patients with COVID-19. Nature Medicine.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1038\/s41591-020-0931-3\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1038\/s41591-020-0931-3<\/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-6999\" class=\"su-post\">\n<h5 class=\"su-post-title\">Detection of Nucleocapsid Antibody to SARS-CoV-2 Is More Sensitive than Antibody to Spike Protein in COVID-19 Patients<\/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\">Luciferase\u00a0immunopreciptation\u00a0assay systems (LIPS) were found to be more sensitive to SARS-CoV-2 specific antibodies to the nucleocapsid than antibodies to the spike protein at<\/span><span data-contrast=\"auto\">\u00a015 or more days after symptom onset<\/span><span data-contrast=\"auto\">.<\/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\">Sampling daily from patients showed that immunocompromised patients generally had a delayed antibody response.<\/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\">Though this study only included symptomatic patients<\/span><span data-contrast=\"auto\">, among whom<\/span><span data-contrast=\"auto\">\u00a0antibody levels are likely higher, the high sensitivity of LIPs shows promise and has implications for larger\u00a0seroepidemiologic\u00a0studies.<\/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\">Burbelo\u00a0et al. (May 19, 2020). Detection of Nucleocapsid Antibody to SARS-CoV-2 Is More Sensitive than Antibody to Spike Protein in COVID-19 Patients. The Journal of Infectious Diseases.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/infdis\/jiaa273\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/infdis\/jiaa273<\/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\">Clinical Characteristics and Health Care Setting<\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-7005\" class=\"su-post\">\n<h5 class=\"su-post-title\">Epidemiology, Clinical Course, and Outcomes of Critically Ill Adults with COVID-19 in New York City:\u00a0A Prospective\u00a0Cohort Study<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">An o<\/span><span data-contrast=\"auto\">bservational cohort study\u00a0<\/span><span data-contrast=\"auto\">identified<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">1<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">150 adults with laboratory confirmed COVID-19 admitted to two New York hospitals<\/span><span data-contrast=\"auto\">\u00a0and followed 257\u00a0<\/span><span data-contrast=\"auto\">(22%)<\/span><span data-contrast=\"auto\">\u00a0critically ill<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">participants\u00a0<\/span><span data-contrast=\"auto\">for the primary outcome of in-hospital mortality<\/span><span data-contrast=\"auto\">. Results support previous studies showing that older age and cardiopulmonary comorbidities were associated with increased in-hospital mortality while also adding biomarkers for inflammation and thrombosis as independent risk factors.<\/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\">Cummings et al. (<\/span><\/i><i><span data-contrast=\"none\">May 19,\u00a0<\/span><\/i><i><span data-contrast=\"none\">2020). Epidemiology, Clinical Course, and Outcomes of Critically Ill Adults with COVID-19 in New York City:\u00a0A Prospective\u00a0Cohort Study.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Lancet<\/span><\/i><i><span data-contrast=\"none\">.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/S0140-6736(20)31189-2\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/S0140-6736(20)31189-2<\/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 SCXW150487578 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW150487578 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-7007\" class=\"su-post\">\n<h5 class=\"su-post-title\">How Are Adversities during COVID-19 Affecting Mental Health Differential Associations for Worries and Experiences and Implications for Policy<\/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\">Wright et al.\u00a0<\/span><span data-contrast=\"auto\">found that in a cohort\u00a0<\/span><span data-contrast=\"auto\">of 35,784 adults<\/span><span data-contrast=\"auto\">\u00a0in the UK, the number of self-reported episodes for worrying about adversities related to COVID-19, as well as the number actual experienced events of adversity were related to both anxiety and depression. Worrying about adversities was more strongly associated with anxiety than with 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<li><span data-contrast=\"auto\">There was\u00a0<\/span><span data-contrast=\"auto\">some evidence of a stronger relationship between adverse experiences and both anxiety and depression among people of low socioeconomic status.<\/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\">Wright et al. (May 19, 2020). How Are Adversities during COVID-19 Affecting Mental Health Differential Associations for Worries and Experiences and Implications for Policy.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 20 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.14.20101717\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.14.20101717<\/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-7011\" class=\"su-post\">\n<h5 class=\"su-post-title\">Estimation of COVID-19 Transmission Rates in California and the U.S. with Reporting Delays<\/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\">Worden et al.\u00a0<\/span><span data-contrast=\"auto\">used a model to determine that<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">transmission in many areas in the US may not yet be controlled despite stable or declining case counts. Based on data available on May 9, 2020, the only states to have achieved\u00a0<\/span><span data-contrast=\"auto\">a threshold at which the epidemic fades out<\/span><span data-contrast=\"auto\">\u00a0(R<\/span><span data-contrast=\"auto\">t<\/span><span data-contrast=\"auto\">\u00a0&lt; 1) are New York, Michigan, New Jersey, and Louisiana.<\/span><span data-contrast=\"auto\">\u00a0The model uses\u00a0<\/span><span data-contrast=\"auto\">the Wallinga-Teunis method and account<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0for uncertainty in delays from symptom onset to case reporting<\/span><span data-contrast=\"auto\">\u00a0to\u00a0<\/span><span data-contrast=\"auto\">estimate time varying reproduction number\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">t<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">\u00a0in counties and regions in California and in\u00a0<\/span><span data-contrast=\"auto\">other\u00a0<\/span><span data-contrast=\"auto\">states over time<\/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\">Worden et al. (May 19, 2020). Estimation of COVID-19 Transmission Rates in California and the U.S. with Reporting Delays.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 20 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.14.20101162\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.14.20101162<\/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-7009\" class=\"su-post\">\n<h5 class=\"su-post-title\">Susceptible Supply Limits\u00a0the\u00a0Role of Climate in the Early SARS-CoV-2 Pandemic<\/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\">Baker et al.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">applie<\/span><span data-contrast=\"auto\">d<\/span><span data-contrast=\"auto\">\u00a0a climate-dependent epidemic model\u00a0<\/span><span data-contrast=\"auto\">with parameters drawn\u00a0<\/span><span data-contrast=\"auto\">from endemic\u00a0<\/span><span data-contrast=\"auto\">coronaviruses\u00a0<\/span><span data-contrast=\"auto\">and influenza<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">to understand the potential climate dependence of SARS-CoV-2.\u00a0<\/span><span data-contrast=\"auto\">The global model\u00a0<\/span><span data-contrast=\"auto\">provided<\/span><span data-contrast=\"auto\">\u00a0detailed results for nine cities. R<\/span><span data-contrast=\"auto\">esearchers found that\u00a0<\/span><span data-contrast=\"auto\">the\u00a0<\/span><span data-contrast=\"auto\">extent to which the\u00a0<\/span><span data-contrast=\"auto\">population\u00a0<\/span><span data-contrast=\"auto\">builds immunity\u00a0<\/span><span data-contrast=\"auto\">remains the fundamental driver of peak incidence<\/span><span data-contrast=\"auto\">\u00a0during the pandemic phase,<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">while climate plays a\u00a0<\/span><span data-contrast=\"auto\">modest\u00a0<\/span><span data-contrast=\"auto\">role in affecting the\u00a0<\/span><span data-contrast=\"auto\">size of the pandemic outbreak and\u00a0<\/span><span data-contrast=\"auto\">efficacy of control measures.<\/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\">Baker et al. (May 18, 2020). Susceptible Supply Limits\u00a0the\u00a0Role of Climate in the Early SARS-CoV-2 Pandemic. Science.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1126\/science.abc2535\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1126\/science.abc2535<\/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 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-7013\" class=\"su-post\">\n<h5 class=\"su-post-title\">Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook during the COVID-19 Pandemic in Early 2020: A Cross-Country Comparison<\/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\"><span data-contrast=\"auto\">Raamkumar\u00a0et al.<\/span><span data-contrast=\"auto\">\u00a0compared the outreach efforts of public health authorities (PHAs) in Singapore, United States, and England\u00a0<\/span><span data-contrast=\"auto\">using Facebook posts. The authors classified posts into themes and compared<\/span><span data-contrast=\"auto\">\u00a0mean posts per day, mean comments per day, and<\/span><span data-contrast=\"auto\">\u00a0the<\/span><span data-contrast=\"auto\">\u00a0positive to negative<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">sentiment ratio<\/span><span data-contrast=\"auto\">\u00a0between countries<\/span><span data-contrast=\"auto\">. Overall, the\u00a0<\/span><span data-contrast=\"auto\">Singapore\u00a0<\/span><span data-contrast=\"auto\">Ministry of Health covered more diverse themes, posted more frequently,\u00a0<\/span><span data-contrast=\"auto\">and<\/span><span data-contrast=\"auto\">\u00a0received\u00a0<\/span><span data-contrast=\"auto\">comments with\u00a0a more\u00a0favorable sentiment than other PHAs.\u00a0<\/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<p><i><span data-contrast=\"none\">Raamkumar\u00a0et al. (May 13, 2020). Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook during the COVID-19 Pandemic in Early 2020: A Cross-Country Comparison. Journal of Medical Internet Research.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.2196\/19334\"><span data-contrast=\"none\">https:\/\/doi.org\/10.2196\/19334<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\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\/10.1038\/d41586-020-01447-w\"><span data-contrast=\"none\">CRISPR tool scales up to interrogate a huge line-up of viral suspects<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Nature (May 18)<\/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\/s41571-020-0394-y\"><span data-contrast=\"none\">COVID-19 and cancer: do we really know what we think we know?<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Nature\u00a0<\/span><span data-contrast=\"auto\">Reviews\u00a0<\/span><span data-contrast=\"auto\">(May 18)<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1080\/23744235.2020.1762920\"><span data-contrast=\"none\">Several neonates reported po<\/span><span data-contrast=\"none\">sitive for COVID-19<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Infectious Diseases (May 19)<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.05.19.097410\"><span data-contrast=\"none\">The impact of super-spreaders in COVID-19: mapping genome variation worldwide<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0Bioxriv\u00a0<\/span><br \/>\n<span data-contrast=\"auto\">(May 19)<\/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\/10.1001\/jamainternmed.2020.2402\"><span data-contrast=\"none\">Need for Transparency and Reliable Evidence in Emergency Use Authorizations for Coronavirus Disease 2019 (COVID-19) Therapies<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 JAMA\u00a0<\/span><span data-contrast=\"auto\">Internal Medicine\u00a0<\/span><span data-contrast=\"auto\">(May 19)<\/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\/s41586-020-2349-y\"><span data-contrast=\"none\">Cross-neutralization of SARS-CoV-2 by a hum<\/span><span data-contrast=\"none\">an monoclonal SARS-CoV antibody<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Nature (May 18)<\/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\/10.1017\/dmp.2020.160\"><span data-contrast=\"none\">Strategies for Optimizing the Supply of N95 Filtering Facepiece Respirators During the Coronavirus Disease 2019 (COVID-19)<\/span><span data-contrast=\"none\">\u00a0<\/span><span data-contrast=\"none\">Pandemic<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Disaster Medicine (May 19)<\/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>Based on a fluid particle dynamics model of the behavior of droplets released from the cough of an infectious person, the social distancing policy of 6 feet may not be sufficient under some wind and relative humidity conditions. <\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/20\/measuring-the-outreach-efforts-of-public-health-authorities-and-the-public-response-on-facebook-during-the-covid-19-pandemic-in-early-2020-a-cross-country-comparison\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":7015,"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-6991","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\/6991","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=6991"}],"version-history":[{"count":3,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/6991\/revisions"}],"predecessor-version":[{"id":7153,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/6991\/revisions\/7153"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media\/7015"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=6991"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=6991"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=6991"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=6991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}