{"id":8570,"date":"2020-07-30T11:06:38","date_gmt":"2020-07-30T18:06:38","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=8570"},"modified":"2021-04-05T11:21:36","modified_gmt":"2021-04-05T18:21:36","slug":"covid-19-literature-situation-report-july-30-2020","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/07\/30\/covid-19-literature-situation-report-july-30-2020\/","title":{"rendered":"COVID-19 Literature Situation Report July 30, 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\">Children younger than 5 years\u00a0<\/span><\/b><b><span data-contrast=\"auto\">old\u00a0<\/span><\/b><b><span data-contrast=\"auto\">had 10- to 100-fold higher levels of<\/span><\/b><b><span data-contrast=\"auto\">\u00a0SARS-CoV-2\u00a0<\/span><\/b><b><span data-contrast=\"auto\">RNA in their nasopharynx compared with older children and adults<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1001\/jamapediatrics.2020.3651\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\">Viral\u00a0<\/span><\/b><b><span data-contrast=\"auto\">RNA<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">was detected among\u00a0<\/span><\/b><b><span data-contrast=\"auto\">&gt;70%<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">of\u00a0<\/span><\/b><b><span data-contrast=\"auto\">air and surface samples collected\u00a0<\/span><\/b><b><span data-contrast=\"auto\">from<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">the\u00a0<\/span><\/b><b><span data-contrast=\"auto\">environment surrounding 13 isolated\u00a0<\/span><\/b><b><span data-contrast=\"auto\">patients with\u00a0<\/span><\/b><b><span data-contrast=\"auto\">COVID-19<\/span><\/b><b><span data-contrast=\"auto\">,\u00a0<\/span><\/b><b><span data-contrast=\"auto\">strengthening\u00a0<\/span><\/b><b><span data-contrast=\"auto\">support<\/span><\/b><b><span data-contrast=\"auto\">\u00a0for\u00a0<\/span><\/b><b><span data-contrast=\"auto\">\u00a0the\u00a0use of airborne isolation precautions in their care<\/span><\/b><b><span data-contrast=\"auto\">.\u00a0<\/span><\/b><a href=\"https:\/\/doi.org\/10.1038\/s41598-020-69286-3\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\">There was no clear increase in\u00a0<\/span><\/b><b><span data-contrast=\"auto\">COVID-19\u00a0<\/span><\/b><b><span data-contrast=\"auto\">cases, hospitalizations, or deaths\u00a0<\/span><\/b><b><span data-contrast=\"auto\">observed\u00a0<\/span><\/b><b><span data-contrast=\"auto\">after the\u00a0<\/span><\/b><b><span data-contrast=\"auto\">in-person<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><b><span data-contrast=\"auto\">election<\/span><\/b><b><span data-contrast=\"auto\">\u00a0in Wisconsin<\/span><\/b><b><span data-contrast=\"auto\">\u00a0on April 7<\/span><\/b><b><span data-contrast=\"auto\">, which\u00a0<\/span><\/b><b><span data-contrast=\"auto\">implemented mitigation measures<\/span><\/b><b><span data-contrast=\"auto\">\u00a0aimed at preventing\u00a0<\/span><\/b><b><span data-contrast=\"auto\">SARS-CoV-2 transmission<\/span><\/b><b><span data-contrast=\"auto\">\u00a0that were<\/span><\/b><b><span data-contrast=\"auto\">\u00a0in alignment with CDC\u00a0<\/span><\/b><b><span data-contrast=\"auto\">interim guidance<\/span><\/b><b><span data-contrast=\"auto\">.<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/doi.org\/10.15585\/mmwr.mm6930a4\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\">The risk of SARS-CoV-2 transmission among train passengers varied considerably depending on shared travel time and seat location<\/span><\/b><b><span data-contrast=\"auto\">, with a peak attack rate of 4<\/span><\/b><b><span data-contrast=\"auto\">% among passengers who were sitting adjacent to an index case.<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa1057\"><span data-contrast=\"none\">More<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<div id=\"uw-accordion-shortcode\">\n<h3>Article Summaries<\/h3>\n<div class=\"js-accordion\" data-accordion-prefix-classes=\"uw-accordion-shortcode\">\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span class=\"TextRun SCXW40369296 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW40369296 BCX0\" data-ccp-parastyle=\"heading 2\">Non-Pharmaceutical Interventions<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8572\" class=\"su-post\">\n<h5 class=\"su-post-title\">Social Distancing Responses to COVID-19 Emergency Declarations Strongly Differentiated by Income<\/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\">Weill et al.\u00a0<\/span><span data-contrast=\"auto\">found<\/span><span data-contrast=\"auto\">\u00a0that social\u00a0distancing\u00a0following US state-level emergency declarations substantially\u00a0<\/span><span data-contrast=\"auto\">vari<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">\u00a0by income<\/span><span data-contrast=\"auto\">. Using mobility measures derived from mobile device location\u00a0<\/span><span data-contrast=\"auto\">data<\/span><span data-contrast=\"auto\">, wealthier areas decreased mobility significantly more than poorer areas<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">W<\/span><span data-contrast=\"auto\">ealthy areas went from most mobile before the pandemic to least mobile, while the poorest areas went from least to most<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">mobile<\/span><span data-contrast=\"auto\">.\u00a0<\/span><span data-contrast=\"auto\">The authors suggest that p<\/span><span data-contrast=\"auto\">revious<\/span><span data-contrast=\"auto\">\u00a0research\u00a0<\/span><span data-contrast=\"auto\">showin<\/span><span data-contrast=\"auto\">g\u00a0<\/span><span data-contrast=\"auto\">that lower income communities have higher levels of preexisting health conditions and lower access to healthcare<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">\u00a0coupled with\u00a0<\/span><span data-contrast=\"auto\">lower income communities exhibit<\/span><span data-contrast=\"auto\">ing<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">greater mobility<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">suggests a double burden of the COVID-19 pandemic\u00a0<\/span><span data-contrast=\"auto\">in these communities<\/span><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Weill et al. (July 29, 2020). Social Distancing Responses to COVID-19 Emergency Declarations Strongly Differentiated by Income.\u00a0<\/span><\/i><i><span data-contrast=\"none\">PNAS<\/span><\/i><i><span data-contrast=\"none\">.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1073\/pnas.2009412117\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1073\/p<\/span><span data-contrast=\"none\">nas.2009412117<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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 SCXW70641427 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW70641427 BCX0\" data-ccp-parastyle=\"heading 2\">Transmission<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8578\" class=\"su-post\">\n<h5 class=\"su-post-title\">Secondary Attack Rate of COVID-19 in Household Contacts: 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=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">A systematic review (<\/span><span data-contrast=\"auto\">13 articles<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-contrast=\"auto\">showed that\u00a0<\/span><span data-contrast=\"auto\">the\u00a0<\/span><span data-contrast=\"auto\">household secondary attac<\/span><span data-contrast=\"auto\">k\u00a0<\/span><span data-contrast=\"auto\">rate<\/span><span data-contrast=\"auto\">\u00a0of COVID-19<\/span><span data-contrast=\"auto\">\u00a0varies widely across countries<\/span><span data-contrast=\"auto\">\u00a0with a range of\u00a0<\/span><span data-contrast=\"auto\">5<\/span><span data-contrast=\"auto\">%<\/span><span data-contrast=\"auto\">&#8211;<\/span><span data-contrast=\"auto\">50<\/span><span data-contrast=\"auto\">%<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">\u00a0unaffected by confounders such as population of the country, lockdown status and geographic location<\/span><span data-contrast=\"auto\">. The\u00a0<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">ymptomatic status of the index case\u00a0<\/span><span data-contrast=\"auto\">was strongly associated with the secondary attach rate<\/span><span data-contrast=\"auto\">, with very low transmission probability during<\/span><span data-contrast=\"auto\">\u00a0the<\/span><span data-contrast=\"auto\">\u00a0asymptomatic phase<\/span><span data-contrast=\"auto\">.\u00a0<\/span><span data-contrast=\"auto\">T<\/span><span data-contrast=\"auto\">he review\u00a0<\/span><span data-contrast=\"auto\">suggested greater vulnerability of spouse<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0and\u00a0<\/span><span data-contrast=\"auto\">the\u00a0<\/span><span data-contrast=\"auto\">elderly population\u00a0<\/span><span data-contrast=\"auto\">to\u00a0<\/span><span data-contrast=\"auto\">secondary transmission\u00a0<\/span><span data-contrast=\"auto\">compared to\u00a0<\/span><span data-contrast=\"auto\">other household members.\u00a0<\/span><span data-contrast=\"auto\">Q<\/span><span data-contrast=\"auto\">uarantining<\/span><span data-contrast=\"auto\">\u00a0and isolatio<\/span><span data-contrast=\"auto\">n\u00a0<\/span><span data-contrast=\"auto\">were the\u00a0<\/span><span data-contrast=\"auto\">most effective strategies for prevention<\/span><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Shah et al. (July 2020). Secondary Attack Rate of COVID-19 in Household Contacts: Systematic Review.\u00a0<\/span><\/i><i><span data-contrast=\"none\">QJM<\/span><\/i><i><span data-contrast=\"none\">.<\/span><\/i><i><span data-contrast=\"none\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/qjmed\/hcaa232\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/qjmed\/hcaa232<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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-8576\" class=\"su-post\">\n<h5 class=\"su-post-title\">Age-Related Differences in Nasopharyngeal Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Levels in Patients\u00a0With\u00a0Mild\u00a0To\u00a0Moderate Coronavirus Disease 2019 (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\">Heald-Sargent et al.\u00a0<\/span><span data-contrast=\"auto\">followed a cohort of children<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">and adults\u00a0<\/span><span data-contrast=\"auto\">(n=145)<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">with mild to moderate COVID-19\u00a0<\/span><span data-contrast=\"auto\">who were tested for SARS-CoV-2 within one week of symptom onset and\u00a0<\/span><span data-contrast=\"auto\">found that\u00a0<\/span><span data-contrast=\"auto\">the youngest children (&lt;5 years)<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">ha<\/span><span data-contrast=\"auto\">d<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">high amounts of<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">SARS-CoV-2<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">viral<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">RNA<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">in their<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">nasopharynx<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">(median\u00a0<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"none\">cycle\u00a0threshold 6.5 [4.8-12.0])<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">compared<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">with<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">older<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">children\u00a0<\/span><span data-contrast=\"none\">(11.1 [6.3-15.7])\u202f<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">and\u00a0adults<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"none\">adults\u00a0(11.0 [6.9-17.5])<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a0These differences correspond to a\u00a0<\/span><span data-contrast=\"auto\">10-fold to 100-fold\u00a0<\/span><span data-contrast=\"auto\">greater amount of SARS-CoV-2\u00a0<\/span><span data-contrast=\"auto\">in the respiratory tract of the youngest children.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Heald-Sargent et al. (<\/span><\/i><i><span data-contrast=\"none\">July 30,\u00a0<\/span><\/i><i><span data-contrast=\"none\">2020). Age-Related Differences in Nasopharyngeal Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Levels in Patients\u00a0With\u00a0Mild\u00a0To<\/span><\/i><i><span data-contrast=\"none\">\u00a0Moderate Coronavirus Disease 2019 (COVID-19)<\/span><\/i><i><span data-contrast=\"none\">. JAMA Pediatrics.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1001\/jamapediatrics.2020.3651\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1001\/jamapediatrics.2020.3651<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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-8574\" class=\"su-post\">\n<h5 class=\"su-post-title\">The Risk of COVID-19 Transmission in Train Passengers: An Epidemiological and Modelling 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\">The risk of\u00a0<\/span><span data-contrast=\"auto\">SARS-CoV-2\u00a0<\/span><span data-contrast=\"auto\">transmission among train passengers\u00a0<\/span><span data-contrast=\"auto\">varied considerably\u00a0<\/span><span data-contrast=\"auto\">depending on\u00a0<\/span><span data-contrast=\"auto\">shared\u00a0<\/span><span data-contrast=\"auto\">travel time and seat location<\/span><span data-contrast=\"auto\">, with a peak attack rate of\u00a0<\/span><span data-contrast=\"auto\">4<\/span><span data-contrast=\"auto\">% among passengers who were sitting adjacent to an index case. Transmission risk increased with longer duration of co-travel, increasing by 1.3% per hour for adjacent passengers. These findings are based on an\u00a0<\/span><span data-contrast=\"auto\">analy<\/span><span data-contrast=\"auto\">sis of<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">the spatial and temporal distribution of\u00a0<\/span><span data-contrast=\"auto\">SARS-CoV-2<\/span><span data-contrast=\"auto\">\u00a0transmission\u00a0<\/span><span data-contrast=\"auto\">from<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">index patients<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">on\u00a0<\/span><span data-contrast=\"auto\">high-speed train<\/span><span data-contrast=\"auto\">s<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">in China\u00a0<\/span><span data-contrast=\"auto\">(n=2,334) and close contacts<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">n=<\/span><span data-contrast=\"auto\">72,093<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">\u00a0who had co-travel times of 0-8 hours<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Hu et al. (July 2020). The Risk of COVID-19 Transmission in Train Passengers: An Epidemiological and Modelling Study. Clinical Infectious Disease<\/span><\/i><i><span data-contrast=\"none\">s<\/span><\/i><i><span data-contrast=\"none\">.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa1057\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1093\/cid\/ciaa1057<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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 SCXW173333515 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW173333515 BCX0\" data-ccp-parastyle=\"heading 2\">Testing and Treatment<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8582\" class=\"su-post\">\n<h5 class=\"su-post-title\">Back to School Use of Dried Blood Spot for the Detection of SARS-CoV-2-Specific Immunoglobulin G (IgG) among Schoolchildren in Milan Italy<\/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><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">A comparison of serum and dried blood spot samples for detection of SARS-CoV-2 antibodies<\/span><span data-contrast=\"auto\">\u00a0by ELISA<\/span><span data-contrast=\"auto\">\u00a0in healthcare workers (n=52) showed strong concordance between the two sample types\u00a0<\/span><span data-contrast=\"auto\">(<\/span><span data-contrast=\"auto\">Pearson&#8217;s\u00a0<\/span><span data-contrast=\"auto\">correlation\u00a0<\/span><span data-contrast=\"auto\">coefficient=0.98; overall agreement=96.2%).\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Amendola et al. (July 30, 2020). Back to School Use of Dried Blood Spot for the Detection of SARS-CoV-2-Specific Immunoglobulin G (IgG) among Schoolchildren in Milan Italy. Pre-print\u00a0downloaded\u00a0July 30 from\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.07.29.20164186\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.07.29.20164186<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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-8580\" class=\"su-post\">\n<h5 class=\"su-post-title\">Efficacy of Corticosteroids in Patients with SARS, MERS and COVID-19:\u00a0A Systematic\u00a0Review and Meta-Analysis<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><span data-contrast=\"auto\">A<\/span><span data-contrast=\"auto\">\u00a0systematic review and meta-analysis<\/span><span data-contrast=\"auto\">\u00a0of eight\u00a0<\/span><span data-contrast=\"auto\">studies<\/span><span data-contrast=\"auto\">\u00a0(<\/span><span data-contrast=\"auto\">8 studies with\u00a0<\/span><span data-contrast=\"auto\">4,051 patients<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">\u00a0evaluated the\u00a0<\/span><span data-contrast=\"auto\">benefits of steroids in patients with coronavirus infections<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a0Among\u00a0<\/span><span data-contrast=\"auto\">the\u00a0<\/span><span data-contrast=\"auto\">studies, 3<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">416 patients were diagnosed with SARS, 360 patients with MERS, and 275 with COVID-19; 60% patients were administered steroids.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">The meta-analyses including all studies showed no differences overall in terms of mortality (OR<\/span><span data-contrast=\"auto\">=<\/span><span data-contrast=\"auto\">1.15<\/span><span data-contrast=\"auto\">;<\/span><span data-contrast=\"auto\">\u00a095% CI 0.63-2.10). However, in some studies the patients in the steroid group had more severe symptoms than those in the control group. In contrast, when the meta-analysis was performed restricting only to studies that used appropriate adjustment (e.g., time, disease severity),\u00a0<\/span><span data-contrast=\"auto\">use of steroids was associated with a lower risk of mortality<\/span><span data-contrast=\"auto\">\u00a0(HR<\/span><span data-contrast=\"auto\">=<\/span><span data-contrast=\"auto\">0.3<\/span><span data-contrast=\"auto\">8<\/span><span data-contrast=\"auto\">;<\/span><span data-contrast=\"auto\">\u00a095% CI 0.22-0.6<\/span><span data-contrast=\"auto\">5<\/span><span data-contrast=\"auto\">).\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Lee et al. (July 2020). Efficacy of Corticosteroids in Patients with SARS, MERS and COVID-19:\u00a0A Systematic\u00a0Review and Meta-Analysis. Journal of Clinical Medicine.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.3390\/jcm9082392\"><span data-contrast=\"none\">https:\/\/doi.org\/10.3390\/jcm9082392<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<\/p>\n<\/div>\n<p>\t\t\t\t\t\t\t\t\t<!-- <a href=\"\" class=\"su-post-comments-link\"><\/a> --><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"js-accordion__panel\" >\n<h2 class=\"js-accordion__header\"><span class=\"TextRun SCXW22351167 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW22351167 BCX0\" data-ccp-parastyle=\"heading 2\">Clinical Characteristics<\/span><\/span><span class=\"TextRun SCXW22351167 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW22351167 BCX0\" data-ccp-parastyle=\"heading 2\"> and Health Care Setting<\/span><\/span><\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-8586\" class=\"su-post\">\n<h5 class=\"su-post-title\">Outcomes of Cardiovascular Magnetic Resonance Imaging in Patients Recently Recovered\u00a0From\u00a0Coronavirus Disease 2019 (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\">In a\u00a0<\/span><span data-contrast=\"auto\">cohort study of<\/span><span data-contrast=\"auto\">\u00a0German patients recently recovered from COVID-19 infection<\/span><span data-contrast=\"auto\">\u00a0(n=100)<\/span><span data-contrast=\"auto\">,\u00a0<\/span><span data-contrast=\"auto\">cardiovascular magnetic resonance (CMR) imaging\u00a0<\/span><span data-contrast=\"auto\">revealed cardiac involvement in 78 patients and ongoing myocardial inflammation in 60 patients<\/span><span data-contrast=\"auto\">,\u00a0<\/span><span data-contrast=\"auto\">independent of preexisting conditions, severity and overall course of the acute illness, and time from the original diagnosis.\u00a0<\/span><span data-contrast=\"auto\">Compared with healthy controls and risk factor-matched controls, patients recently recovered from COVID-19 had lower left ventricular ejection fraction, higher left ventricle volumes, higher left ventricle mass, and raised native T1 and T2<\/span><span data-contrast=\"auto\">\u00a0signals<\/span><span data-contrast=\"auto\">.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Puntmann\u00a0et al. (July 27, 2020). Outcomes of Cardiovascular Magnetic Resonance Imaging in Patients Recently Recovered\u00a0From\u00a0Coronavi<\/span><\/i><i><span data-contrast=\"none\">rus Disease 2019 (COVID-19). JAMA Cardiology.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1001\/jamacardio.2020.3557\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1001\/jamacardio.2020.3557<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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-8584\" class=\"su-post\">\n<h5 class=\"su-post-title\">Aerosol and Surface Contamination of SARS-CoV-2 Observed in Quarantine and Isolation Care<\/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\">During the initial isolation<\/span><span data-contrast=\"auto\">\u00a0of 13 individuals with COVID-19 at the University of Nebraska Medical Center, Santarpia et al. detected\u00a0<\/span><span data-contrast=\"auto\">SARS-CoV-2 RNA by RT-PCR in 121\/163 (72%)<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">air and surface samples collected<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">SARS-CoV-2 RNA<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">was detected\u00a0<\/span><span data-contrast=\"auto\">in all types of samples: high and low-volume air samples, as well as surface samples including personal items, room surf<\/span><span data-contrast=\"auto\">aces, and toilets.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">\u00a0<\/span><i><span data-contrast=\"none\">Santarpia et al. (July 2020). Aerosol and Surface Contamination of SARS-CoV-2 Observed in Quarantine and Isolation Care. Scientific Reports.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1038\/s41598-020-69286-3\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1038\/s41598-020-69286-3<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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 SCXW28991911 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW28991911 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-8588\" class=\"su-post\">\n<h5 class=\"su-post-title\">How Parents and Their Children Used Social Media and Technology at the Beginning of the COVID-19 Pandemic and Associations with Anxiety<\/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 online survey of US parents\u00a0<\/span><span data-contrast=\"auto\">(n<\/span><span data-contrast=\"auto\">=260)\u00a0<\/span><span data-contrast=\"auto\">found that\u00a0<\/span><span data-contrast=\"auto\">parents\u00a0<\/span><span data-contrast=\"auto\">and<\/span><span data-contrast=\"auto\">\u00a0children (especially teenagers aged 13-18) had increased technology and social media use since the beginning of social distancing<\/span><span data-contrast=\"auto\">\u00a0due to the COVID-19 pandemic<\/span><span data-contrast=\"auto\">.\u00a0<\/span><span data-contrast=\"auto\">C<\/span><span data-contrast=\"auto\">ontrolling for\u00a0demographic factors, parents and children with higher levels of anxiety (as reported by parents) were more likely to increase their technology\u00a0<\/span><span data-contrast=\"auto\">and social media\u00a0<\/span><span data-contrast=\"auto\">use and\u00a0<\/span><span data-contrast=\"auto\">use\u00a0<\/span><span data-contrast=\"auto\">of\u00a0<\/span><span data-contrast=\"auto\">phones to connect. Among parents, higher anxiety was r<\/span><span data-contrast=\"auto\">elated to using social media for both social support and information seeking.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Drouin et al. (July\u00a0<\/span><\/i><i><span data-contrast=\"none\">27,\u00a0<\/span><\/i><i><span data-contrast=\"none\">2020). How Parents and Their Children Used Social Media and Technology at the Beginning of the COVID-19 Pandemic and Associations with Anxiety. Cyberpsychology, Behavior and Social Networking.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1089\/cyber.2020.0284\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1089\/cyber.2020.0284<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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 SCXW256833614 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW256833614 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-8596\" class=\"su-post\">\n<h5 class=\"su-post-title\">Notes from the Field: Rebound in Routine Childhood Vaccine Administration Following Decline During the COVID-19 Pandemic \u2014 New York City, March 1\u2013June 27, 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\">Promotion of<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">routine childhood vaccination\u00a0<\/span><span data-contrast=\"auto\">to parents\u00a0<\/span><span data-contrast=\"auto\">using methods including public service announcements and letters, guidance, and webinars for health care providers<\/span><span data-contrast=\"auto\">\u00a0in New York City\u00a0<\/span><span data-contrast=\"auto\">resulted in increased v<\/span><span data-contrast=\"auto\">accine administration among persons aged &lt;24 months starting the week of April 19\u201325, as the number of new COVID-19 cases declined, and\u00a0<\/span><span data-contrast=\"auto\">vaccinations<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">returned to\u00a0<\/span><span data-contrast=\"auto\">a level<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">comparable\u00a0<\/span><span data-contrast=\"auto\">to<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">2019 beginning the week of May 17.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">The authors conclude that the<\/span><span data-contrast=\"auto\">\u00a0rebound of administration of routine early childhood\u00a0vaccines in<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">demonstrates the critical role of public health departments and partnerships with numerous stakeholders in\u00a0<\/span><span data-contrast=\"auto\">childhood vaccination.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Langdon-Embry et al. (July 31, 2020). Notes from the Field: Rebound in Routine Childhood Vaccine Administration Following Decline During the COVID-19 Pandemic \u2014 New York City, March 1\u2013June 27, 2020. MMWR.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.15585\/mmwr.mm6930a3\"><span data-contrast=\"none\">https:\/\/doi.org\/10.15585\/mmwr.mm6930a3<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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-8594\" class=\"su-post\">\n<h5 class=\"su-post-title\">Assessing Racial and Ethnic Disparities Using a COVID-19 Outcomes Continuum for\u00a0New\u00a0York State<\/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\">Using data from<\/span><span data-contrast=\"auto\">\u00a0New York State, Holtgrave et al.\u00a0<\/span><span data-contrast=\"auto\">found\u00a0<\/span><span data-contrast=\"auto\">large excess burdens\u00a0<\/span><span data-contrast=\"auto\">in\u00a0<\/span><span data-contrast=\"auto\">COVID-19 fatality rates in Hispanic (<\/span><span data-contrast=\"auto\">3.<\/span><span data-contrast=\"auto\">5<\/span><span data-contrast=\"auto\">-fold\u00a0<\/span><span data-contrast=\"auto\">higher) and Black populations (5.4-fold higher) compared to whites.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">The disparit<\/span><span data-contrast=\"auto\">y<\/span><span data-contrast=\"auto\">\u00a0in Hispanic<\/span><span data-contrast=\"auto\">\u00a0people\u00a0<\/span><span data-contrast=\"auto\">appear<\/span><span data-contrast=\"auto\">s to be due<\/span><span data-contrast=\"auto\">\u00a0to differences earlier on in infections<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">\u00a0while\u00a0<\/span><span data-contrast=\"auto\">disparities in\u00a0<\/span><span data-contrast=\"auto\">Black<\/span><span data-contrast=\"auto\">\u00a0people\u00a0<\/span><span data-contrast=\"auto\">was<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">driven by differences in both infection experience and in\u00a0<\/span><span data-contrast=\"auto\">the\u00a0<\/span><span data-contrast=\"auto\">unmet need for\u00a0<\/span><span data-contrast=\"auto\">hospitalization<\/span><span data-contrast=\"auto\">.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Holtgrave et al. (June\u00a0<\/span><\/i><i><span data-contrast=\"none\">29,\u00a0<\/span><\/i><i><span data-contrast=\"none\">2020). Assessing Racial and Ethnic Disparities Using a COVID-19 Outcomes Continuum for\u00a0New\u00a0York State. Annals of Epidemiology.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/j.annepidem.2020.06.010\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/j.annepidem.2020.06.010<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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-8592\" class=\"su-post\">\n<h5 class=\"su-post-title\">Excess Cases of Influenza and the Coronavirus Epidemic in Catalonia: A Time-Series Analysis of Primary-Care Electronic Medical Records Covering over 6 Million People<\/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\">In a time-series study of influenza and COVID-19<\/span><span data-contrast=\"auto\">\u00a0cases in Spain,<\/span><span data-contrast=\"auto\">\u00a0Coma Redon et al. found that<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">COVID-19 cases may have\u00a0<\/span><span data-contrast=\"auto\">already\u00a0<\/span><span data-contrast=\"auto\">been present in the Catalan population when the first imported case was reported on February\u00a0<\/span><span data-contrast=\"auto\">25,\u00a0<\/span><span data-contrast=\"auto\">2020.\u00a0<\/span><span data-contrast=\"auto\">The authors suggest that\u00a0<\/span><span data-contrast=\"auto\">COVID-19 carriers may have been misclassified as influenza diagnoses in primary care, b<\/span><span data-contrast=\"auto\">oosting community transmission before public health measures were taken.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Coma Redon et al. (July<\/span><\/i><i><span data-contrast=\"none\">\u00a029,<\/span><\/i><i><span data-contrast=\"none\">\u00a02020). Excess Cases of Influenza and the Coronavirus Epidemic in Catalonia: A Time-Series Analysis of Primary-Care Electronic Medical Records Covering over 6 Million People. BMJ Open.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1136\/bmjopen-2020-039369\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1136\/bmjopen-2020-039369<\/span><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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-8590\" class=\"su-post\">\n<h5 class=\"su-post-title\">Notes from the Field: Public Health Efforts to Mitigate COVID-19 Transmission During the April 7, 2020, Election \u2015 City of Milwaukee, Wisconsin, March 13\u2013May 5, 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\">Wisconsin, the first state to hold an election with in-person voting after stay-at-home orders were issued, observed no clear increase in cases, hospitalizations, or deaths after the election. Various mitigation strategies, in line with the CDC guidance and additional measures, were implemented in Milwaukee to prevent the transmission of SARS-CoV-2 at in-person polling venues.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\">These data provide preliminary evidence that CDC\u2019s interim guidance for\u00a0<\/span><span data-contrast=\"auto\">precautions at<\/span><span data-contrast=\"auto\">\u00a0voting\u00a0<\/span><span data-contrast=\"auto\">sites<\/span><span data-contrast=\"auto\">,\u00a0<\/span><span data-contrast=\"auto\">including<\/span><span data-contrast=\"auto\">\u00a0encouraging physical distancing, personal prevention practices, and employing environmental cleaning and disinfection<\/span><span data-contrast=\"auto\">,<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">may<\/span><span data-contrast=\"auto\">\u00a0lower COVID-19 transmission risk during elections.\u00a0<\/span><span data-contrast=\"auto\">This report concludes that f<\/span><span data-contrast=\"auto\">urther risk reduction can be achieved by fully implementing CDC interim guidance, which recommends longer voting periods, and other options such as increasing the number of polling locations to reduce\u00a0<\/span><span data-contrast=\"auto\">density in\u00a0<\/span><span data-contrast=\"auto\">indoors in polling locations.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Paradis et al. (July 31, 2020). Notes from the Field: Public Health Efforts to Mitigate COVID-19 Transmission During the April 7, 2020, Election \u2015 City of Milwaukee, Wisconsin, March 13\u2013May 5, 2020. MMWR.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.15585\/mmwr.mm6930a4\"><span data-contrast=\"none\">https:\/\/doi.org\/10.15585\/mmwr.mm6930a4<\/span><\/a><i><span data-contrast=\"none\">\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;335559685&quot;:720}\">\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\/10.1001\/jama.2020.14745\"><span data-contrast=\"none\">Reopening K-12 Schools During the COVID-19 Pandemic<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 JAMA (July 29)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/jama.2020.13092\"><span data-contrast=\"none\">COVID-19 and School Closures<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 JAMA (July 29)<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/10.3390\/ijerph17155328\"><span data-contrast=\"none\">On the True Number of COVID-19 Infections: Effect of Sensitivity, Specificity and Number of Tests on Prevalence Ratio Estimation<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 International Journal of Environmental Research and Public Health (July\u00a0<\/span><span data-contrast=\"auto\">24<\/span><span data-contrast=\"auto\">)<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/10.1186\/s13054-020-03173-1\"><span data-contrast=\"none\">Age, Sex, and Comorbidities Predict ICU Admission or Mortality in Cases with SARS-CoV2 Infection: A Population-Based Cohort Study<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Critical Care (<\/span><span data-contrast=\"auto\">July<\/span><span data-contrast=\"auto\">\u00a028)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/s41559-020-1279-2\"><span data-contrast=\"none\">Don\u2019t Gamble the COVID-19 Response on Ecological Hypotheses<\/span><\/a><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">\u2013 Nature Ecology &amp; Evolution (July\u00a0<\/span><span data-contrast=\"auto\">29<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/jamanetworkopen.2020.16930\"><span data-contrast=\"none\">Characteristics and Quality of US Nursing Homes Reporting Cases of Coronavirus Disease 2019 (COVID-19)<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 JAMA Network Open (July 29)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/d41586-020-02233-4\"><span data-contrast=\"none\">COVID-19: Save Lives with Open Intellectual-Property Licences<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Nature (July\u00a0<\/span><span data-contrast=\"auto\">28<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/10.5811\/westjem.2020.5.47769\"><span data-contrast=\"none\">Home-Based Testing for SARS-CoV-2: Leveraging Prehospital Resources for Vulnerable Populations<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 The Western Journal of Emergency Medicine (June\u00a0<\/span><span data-contrast=\"auto\">15<\/span><span data-contrast=\"auto\">)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/10.1093\/jlb\/lsaa024\"><span data-contrast=\"none\">Why We (Probably) Must Deliberately Infect<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 Journal of Law and\u00a0the Biosciences\u00a0(July 25)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/10.1093\/infdis\/jiaa455\"><span data-contrast=\"none\">Plasmodium Falciparum Infection May Protect a Population from SARS-CoV-2 Infection<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013 The Journal of Infectious Diseases (July 29)<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\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\/10.1056\/NEJMp2026045\"><span data-contrast=\"none\">Public Health Decision Making during Covid-19 \u2014 Fulfilling the CDC Pledge to the American People<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">New England Journal of Medicine (July 29)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-aria-posinset=\"2019\" data-aria-level=\"1\"><a href=\"https:\/\/doi.org\/10.1101\/2020.07.23.20160887\"><span data-contrast=\"none\">Divide in Vaccine Belief in COVID-19 Conversations Implications for Immunization Plans<\/span><\/a><span data-contrast=\"auto\">\u00a0\u2013\u00a0<\/span><span data-contrast=\"auto\">m<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">xiv\u00a0<\/span><span data-contrast=\"auto\">(July 29)\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true}\">\u00a0<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Children younger than 5 years old had 10- to 100-fold higher levels of SARS-CoV-2 RNA in their nasopharynx compared with older children and adults. <\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/07\/30\/notes-from-the-field-public-health-efforts-to-mitigate-covid-19-transmission-during-the-april-7-2020-election-%e2%80%95-city-of-milwaukee-wisconsin-march-13-may-5-2020\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":7439,"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-8570","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\/8570","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=8570"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8570\/revisions"}],"predecessor-version":[{"id":8598,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8570\/revisions\/8598"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media\/7439"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=8570"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=8570"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=8570"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=8570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}