{"id":4315,"date":"2021-02-17T13:10:23","date_gmt":"2021-02-17T21:10:23","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=4315"},"modified":"2021-02-18T13:48:30","modified_gmt":"2021-02-18T21:48:30","slug":"covid-19-literature-situation-report-feb-17-2021","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2021\/02\/17\/covid-19-literature-situation-report-feb-17-2021\/","title":{"rendered":"COVID-19 Literature Situation Report Feb 17, 2021"},"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<p><em>Today&#8217;s summary is based on a review of 323 articles (272 published, 51 in preprint)<\/em><\/p>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li><b>The Minnesota Department of Health identified eight people who had been infected with the B.1.1.7 SARS-CoV-2 variant (first detected in the UK) from December 18, 2020\u2013January 11, 2021. Three people had a history of international travel during the 14 days before illness onset, and three additional people had traveled domestically.<\/b> <a href=\"https:\/\/doi.org\/10.15585\/mmwr.mm7008e1\">More<\/a><span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><b>During April through July 2020, there was a 19% attack rate of COVID-19 among meat processing workers in Nebraska. Implementing universal masking and physical barrier interventions reduced COVID-19 incidence in less than 10 days in 8 of 13 facilities. <\/b><a href=\"https:\/\/wwwnc.cdc.gov\/eid\/article\/27\/4\/20-4800_article\">More<\/a><\/li>\n<li><b>CD8+ T-cells from COVID-19 convalescent individuals can recognize epitopes derived from SARS-CoV-2 variants, suggesting that anti-SARS-CoV-2 CD8+ T-cell responses should recognize the newly described variants.<\/b> <a href=\"https:\/\/doi.org\/10.1101\/2021.02.11.21251585\">More<\/a><\/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\">Transmission<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-4317\" class=\"su-post\">\n<h5 class=\"su-post-title\">Characteristics of SARS-CoV-2 Transmission among Meat Processing Workers in Nebraska, USA, and Effectiveness of Risk Mitigation Measures<\/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<p>There was a 19% COVID-19 attack rate (n=5,002 cases) among Nebraska meat processing workers during April 1\u2013July 31, 2020. After implementing universal masking and physical barrier interventions, 8 of 13 facilities showed a statistically significant reduction in COVID-19 incidence in less than 10 days. While 67% of cases occurred among workers who identified as Hispanic or Latino ethnicity, they constituted 73% of hospitalizations, 78% of ICU admissions, and 86% of deaths. Male workers comprised 58% of confirmed case-patients, but represented 72% of hospitalizations, 78% of ICU admissions, and 81% of deaths.<\/p>\n<p><i>Herstein et al. (Feb 16, 2021). Characteristics of SARS-CoV-2 Transmission among Meat Processing Workers in Nebraska, USA, and Effectiveness of Risk Mitigation Measures. Emerging Infectious Diseases. <\/i><a href=\"https:\/\/wwwnc.cdc.gov\/eid\/article\/27\/4\/20-4800_article\">https:\/\/wwwnc.cdc.gov\/eid\/article\/27\/4\/20-4800_article<\/a><\/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\">Geographic Spread<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-4323\" class=\"su-post\">\n<h5 class=\"su-post-title\">Early Introductions and Community Transmission of SARS-CoV-2 Variant B.1.1.7 in the United States<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<p><i>[Pre-print, not peer-reviewed]<\/i> Using combined data from UK air travel into US airports, SARS-CoV-2 genomic sequencing, and clinical diagnostics, a study found evidence for multiple independent introductions of the SARS-CoV-2 B.1.1.7 variant (first described in the UK) into the US, many of which have led to sustained community transmission. The authors conclude that the high number of B.1.1.7 sequences supports the prediction, based on incoming air passenger volumes from the UK, that New York, California, and Florida would be at highest risk for importation. Phylogenetic analyses suggested that New York acted as a hub for B.1.1.7 importation and spread to other states, and the study found evidence for community transmission of B.1.1.7 in New York, New Jersey, Connecticut, and Illinois during January, 2021.<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<p><i>Alpert et al. (Feb 2021). Early Introductions and Community Transmission of SARS-CoV-2 Variant B.1.1.7 in the United States. Pre-print downloaded Feb 17 from <\/i><a href=\"https:\/\/doi.org\/10.1101\/2021.02.10.21251540\">https:\/\/doi.org\/10.1101\/2021.02.10.21251540<\/a><\/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-4321\" class=\"su-post\">\n<h5 class=\"su-post-title\">Detection of B.1.351 SARS-CoV-2 Variant Strain \u2014 Zambia, December 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<p>The SARS-CoV-2 variant strain B.1.351 (first described in South Africa) was detected in Zambia in specimens collected from December 16\u201323, 2020. Among 23 specimens collected during this time, 22 (96%) were the B.1.351 variant, and among those 21 (95%) contained all nine B.1.351 lineage-defining mutations. Specimens with the B.1.351 variant were obtained from people across four provinces. Five (23%) specimens were obtained from people in two different clusters, with no known epidemiologic links among other cases. After detecting this variant, the average number of daily confirmed COVID-19 cases in Zambia increased 16-fold, from 44 cases during December 1\u201310 2020 increasing to 700 cases during January 1\u201310, 2021.<\/p>\n<p><i>Mwenda et al. (Feb 17, 2021). Detection of B.1.351 SARS-CoV-2 Variant Strain \u2014 Zambia, December 2020. MMWR. <\/i><a href=\"https:\/\/doi.org\/10.15585\/mmwr.mm7008e2\">https:\/\/doi.org\/10.15585\/mmwr.mm7008e2<\/a><\/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-4319\" class=\"su-post\">\n<h5 class=\"su-post-title\">First Identified Cases of SARS-CoV-2 Variant B.1.1.7 in Minnesota \u2014 December 2020\u2013January 2021<\/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<p>On January 9, 2021, the Minnesota Department of Health announced the identification of the B.1.1.7 SARS-CoV-2 variant (first described in the UK) in specimens from five people, and on January 25, this variant was found in samples from three additional people. The samples were collected between December 18, 2020 and January 11, 2021 from residents in five counties in the Minneapolis\u2013St. Paul metropolitan area. Three people had a history of international travel during the 14 days before illness onset and three additional people had traveled to California. None had a history of travel to the United Kingdom.<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<p><i>Firestone et al. (Feb 17, 2021). First Identified Cases of SARS-CoV-2 Variant B.1.1.7 in Minnesota \u2014 December 2020\u2013January 2021. MMWR. <\/i><a href=\"https:\/\/doi.org\/10.15585\/mmwr.mm7008e1\">https:\/\/doi.org\/10.15585\/mmwr.mm7008e1<\/a><\/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\">Testing and Treatment<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-4329\" class=\"su-post\">\n<h5 class=\"su-post-title\">501Y.V2 and 501Y.V3 Variants of SARS-CoV-2 Lose Binding to Bamlanivimab in Vitro<\/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<p><i>[Pre-print, not peer-reviewed]<\/i> Three mutations found in the B.1.1.351 variant (first identified in South Africa) and the P1 variant (first identified in Brazil) completely abolished the interaction of monoclonal antibody treatment bamlanivimab with the receptor binding domain (RBD) of the virus.<span class=\"Apple-converted-space\">\u00a0 <\/span>Additionally, the K417N, E484K, and N501Y mutations found in the variants had higher binding affinity to the human ACE2 receptor compared to the wildtype RBD (about 2x higher) but less than the B.1.1.7 variant (~10 fold higher than wild-type). This suggests that variants containing these mutations may be more infectious than wild-type virus. <span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<p><i>Liu et al. (Feb 16, 2021). 501Y.V2 and 501Y.V3 Variants of SARS-CoV-2 Lose Binding to Bamlanivimab in Vitro. BioRxiv. <\/i><a href=\"https:\/\/doi.org\/10.1101\/2021.02.16.431305\">https:\/\/doi.org\/10.1101\/2021.02.16.431305<\/a><\/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-4327\" class=\"su-post\">\n<h5 class=\"su-post-title\">Misinterpretation of Viral Load in COVID-19 Clinical Outcomes<\/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<p>Raw RT-PCR cycle threshold (Ct) values may lead to misinterpretation of the total viral burden, according to a study comparing tracheal aspirate (TA) with nasopharyngeal swab (NPS) samples in critically ill COVID-19 patients (n=138). The authors found that in general, TA samples had more total viral RNA than NPS samples, even though there was no difference in Ct value. Samples initially considered to have different viral loads by raw Ct comparison actually had the same viral load, which the authors argue highlights the importance of normalizing results using a reference gene approach in order to draw conclusions related to COVID-19 viral load. The authors also proposed a formula to corrected raw Ct values.<\/p>\n<p><i>Miranda et al. (Feb 2021). Misinterpretation of Viral Load in COVID-19 Clinical Outcomes. Virus Research. <\/i><a href=\"https:\/\/doi.org\/10.1016\/j.virusres.2021.198340\">https:\/\/doi.org\/10.1016\/j.virusres.2021.198340<\/a><\/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-4325\" class=\"su-post\">\n<h5 class=\"su-post-title\">Effect of a Single High Dose of Vitamin D3 on Hospital Length of Stay in Patients With Moderate to Severe COVID-19: A Randomized Clinical Trial<\/h5>\n<p>\t\t\t\t<!-- \n\n\n\n\n\n\n\n\n\n\n\n<div class=\"su-post-meta\">\n\t\t\t\t\t: \t\t\t\t<\/div>\n\n\n\n\n\n\n\n\n\n\n\n --><\/p>\n<div class=\"su-post-excerpt\">\n<p>A randomized clinical trial involving 240 patients hospitalized with moderate to severe COVID-19 found that compared with placebo, a single dose (200,000 IU) of vitamin D<sub>3<\/sub> did not significantly reduce length of hospital stay (HR = 1.07). The difference between the vitamin D<sub>3<\/sub> group and the placebo group was not significant for in-hospital mortality (8% vs 5%), admission to the intensive care unit (16% vs 21%), or need for mechanical ventilation (8% vs 14%). No adverse events were recorded, but an episode of vomiting was associated with the intervention.<\/p>\n<p><i>Murai et al. (Feb 17, 2021). Effect of a Single High Dose of Vitamin D3 on Hospital Length of Stay in Patients With Moderate to Severe COVID-19: A Randomized Clinical Trial. JAMA. <\/i><a href=\"https:\/\/jamanetwork.com\/journals\/jama\/fullarticle\/2776738\">https:\/\/jamanetwork.com\/journals\/jama\/fullarticle\/2776738<\/a><\/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\">Vaccines and Immunity<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-4333\" class=\"su-post\">\n<h5 class=\"su-post-title\">CD8+ T Cell Responses in COVID-19 Convalescent Individuals Target Conserved Epitopes from Multiple Prominent SARS-CoV-2 Circulating Variants<\/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<p><i>[Pre-print, not peer-reviewed]<\/i> A study assessing whether CD8+ T-cells from COVID-19 convalescent individuals (n=30) can recognize SARS-CoV-2 variant epitopes showed that only one of the three most prominent variants (the B.1.351 variant, first described in South Africa) had a mutation that overlapped with a low-prevalence CD8+ epitope. Out of 45 mutations assessed, this mutation was found on the third residue of the epitope. The authors argue that these findings suggest that virtually all anti-SARS-CoV-2 CD8+ T-cell responses should recognize these newly described variants.<\/p>\n<p><i>Redd et al. (Feb 2021). CD8+ T Cell Responses in COVID-19 Convalescent Individuals Target Conserved Epitopes from Multiple Prominent SARS-CoV-2 Circulating Variants. Pre-print downloaded Feb 17 from <\/i><a href=\"https:\/\/doi.org\/10.1101\/2021.02.11.21251585\">https:\/\/doi.org\/10.1101\/2021.02.11.21251585<\/a><\/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-4331\" class=\"su-post\">\n<h5 class=\"su-post-title\">SARS-CoV-2 Variants Show Resistance to Neutralization by Many Monoclonal and Serum-Derived Polyclonal Antibodies<\/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<p><i>[Pre-print, not peer-reviewed]<\/i> Most convalescent sera from people who had recovered from COVID-19 and virtually all Pfizer-BioNTech mRNA vaccine-induced immune sera were shown to have diminished neutralizing activity against engineered SARS-CoV-2 strains including a chimeric strain combining a strain identified in Washington state with a B.1.351 spike gene (Wash SA-B.1.351 strain), or recombinant viruses containing mutations at position 484 and 501. Several highly neutralizing monoclonal antibodies (mAbs) lost inhibitory activity against Wash SA-B.1.351 or recombinant variants with an E484K spike mutation. The authors note that targeting of highly conserved regions, enhancement of mAb potency, or adjustments to the spike sequences of vaccines may be needed to prevent loss of protection\u00a0<i>in vivo<\/i>.<\/p>\n<p><i>Diamond et al. (Feb 2021). SARS-CoV-2 Variants Show Resistance to Neutralization by Many Monoclonal and Serum-Derived Polyclonal Antibodies. Research Square. <\/i><a href=\"https:\/\/doi.org\/10.21203\/rs.3.rs-228079\/v1\">https:\/\/doi.org\/10.21203\/rs.3.rs-228079\/v1<\/a><\/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\">Clinical Characteristics and Health Care Setting<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-4337\" class=\"su-post\">\n<h5 class=\"su-post-title\">Characteristics and Factors Associated with COVID-19 Infection, Hospitalization, and Mortality Across Race and Ethnicity<\/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<p><i>[Pre-print, not peer-reviewed]<\/i> A retrospective cohort study of 570,298 patients tested for SARS-CoV-2 with known race\/ethnicity, found that people from racial\/ethnic minority groups represented 50% of infections but only 18% of total tests. The data were drawn from a large health system spanning California, Oregon, and Washington between March 1 and December 31, 2020. People who identified as Hispanic represented 34% of total infections but only 13% of tests. 8,536 patients were hospitalized and 1,246 died, of whom 56% and 54% were non-white, respectively. Hispanic race\/ethnicity was also associated with in-hospital mortality (OR=1.4).<\/p>\n<p><i>Dai et al. (Feb 2021). Characteristics and Factors Associated with COVID-19 Infection, Hospitalization, and Mortality Across Race and Ethnicity. Pre-print downloaded Feb 17 from <\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.10.14.20212803\">https:\/\/doi.org\/10.1101\/2020.10.14.20212803<\/a><\/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-4335\" class=\"su-post\">\n<h5 class=\"su-post-title\">Comparison of Acute Pneumonia Caused by SARS-COV-2 and Other Respiratory Viruses in Children: A Retrospective Multi-Center Cohort Study during COVID-19 Outbreak<\/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<p>Children with COVID-19 pneumonia were older (median age of 6.3 vs. 3.2 years) and had less severe disease than children with other causes of pneumonia, according to a retrospective multi-center cohort study. Children in the COVID-19 pneumonia cohort had a lower proportion of severe cases (1 of 40 vs. 38 of 284), and fewer cases with high fever (3 of 40 vs. 167 of 284), requiring intensive care (1 of 40 vs. 32 of 284), and with shorter symptomatic duration (median 5 vs. 8 days).<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<p><i>Ren et al. (Feb 2021). Comparison of Acute Pneumonia Caused by SARS-COV-2 and Other Respiratory Viruses in Children: A Retrospective Multi-Center Cohort Study during COVID-19 Outbreak. Military Medical Research. <\/i><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33593415\">https:\/\/pubmed.ncbi.nlm.nih.gov\/33593415<\/a><\/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\">Modeling and Prediction<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-4341\" class=\"su-post\">\n<h5 class=\"su-post-title\">Overall Burden and Characteristics of COVID-19 in the United States during 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<p><i>[Pre-print, not peer-reviewed]<\/i> A data-driven model-inference approach to simulate the COVID-19 pandemic at the US county-scale determined that approximately one third of the US population had been infected during 2020.<span class=\"Apple-converted-space\">\u00a0 <\/span>The model concluded that there was an overall ascertainment rate of 22%, and population susceptibility at year end was 69%. The percentage of people harboring a contagious infection rose above 0.8% before the end of the year and was as high as 2.4% in some major metropolitan areas. The infection fatality rate fell to 0.3% by the end of 2020.<\/p>\n<p><i>Pei et al. (Feb 17, 2021). Overall Burden and Characteristics of COVID-19 in the United States during 2020. Pre-print downloaded Feb 17 from <\/i><a href=\"https:\/\/doi.org\/10.1101\/2021.02.15.21251777\">https:\/\/doi.org\/10.1101\/2021.02.15.21251777<\/a><\/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-4339\" class=\"su-post\">\n<h5 class=\"su-post-title\">Real-Time Prediction of COVID-19 Related Mortality Using Electronic Health Records<\/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<p>The COVID-19 early warning system (CovEWS), a risk assessment system tool for real-time forecasting of COVID-19 related mortality risk, was found to predict mortality up to 192 hours prior to mortality events in patients hospitalized with COVID-19. The model was constructed from a variety of clinical and biomarker inputs and at a sensitivity of greater than 95%, the specificity was 78.8% at 1 hour before a predicted mortality event and 69.4% at 192\u2009hours before a predicted mortality event, comparing favorably to several other risk stratification tools. The system was developed using electronic health record data from a cohort of 66,430 patients seen at over 69 healthcare institutions.<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<p><i>Schwab et al. (Feb 2021). Real-Time Prediction of COVID-19 Related Mortality Using Electronic Health Records. Nature Communications. <\/i><a href=\"https:\/\/doi.org\/10.1038\/s41467-020-20816-7\">https:\/\/doi.org\/10.1038\/s41467-020-20816-7<\/a><\/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<h2>Other Resources and Commentaries<\/h2>\n<ul>\n<li><a href=\"https:\/\/doi.org\/10.1001\/jama.2020.26850\">Vitamin D3 to Treat COVID-19: Different Disease, Same Answer<\/a> \u2013 JAMA (Feb 17)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1001\/jamahealthforum.2021.0114\">Medicaid and COVID-19 Vaccination\u2014Translating Equitable Allocation Into Equitable Administration<\/a> \u2013 JAMA Health Forum (Feb 17)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1001\/jama.2021.2294\">SARS-CoV-2 Variants of Concern in the United States \u2013 Challenges and Opportunities<\/a> \u2013 JAMA (Feb 17)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1038\/s41467-021-21249-6\">Modelling Safe Protocols for Reopening Schools during the COVID-19 Pandemic in France<\/a> \u2013 Nature Communications (Feb)<\/li>\n<li><a href=\"https:\/\/doi.org\/10.3389\/fpubh.2020.616140\">Using Health Insurance Network Provider Data and Public Data Sets to Identify SARS-CoV-2 Vaccinators in the USA<\/a> \u2013 Frontiers in Public Health<\/li>\n<li><a href=\"https:\/\/doi.org\/10.1101\/2021.02.16.21251787\">Protocol for Safe Affordable and Reproducible Isolation and Quantitation of SARS-CoV-2 RNA from Wastewater<\/a> \u2013 MedRxiv (Feb 17)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1080\/10410236.2021.1886393\">How Public Health Agencies Break through COVID-19 Conversations: A Strategic Network Approach to Public Engagement<\/a> \u2013 Health Communication (Feb)<\/li>\n<li><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0246970\">Mask Usage, Social Distancing, Racial, and Gender Correlates of COVID-19 Vaccine Intentions among Adults in the US<\/a> \u2013 PLOS ONE (Feb 16)<\/li>\n<li><a href=\"https:\/\/doi.org\/10.1016\/j.puhe.2020.12.017\">How Can We Support COVID-19 Survivors? Five Lessons from Long-Term Cancer Survival<\/a> \u2013 Public Health (Jan)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1016\/j.apnu.2020.10.010\">Effects of COVID-19 on the Mental Health of Black and Brown Racialized Populations in the U.S.<\/a> \u2013 Archives of Psychiatric Nursing (Feb)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33591233\/\">COVID-19 Pandemic Sheds Light on the Importance of Food Safety Practices: Risks, Global Recommendations, and Perspectives<\/a> \u2013 Critical Reviews in Food Science and Nutrition (Feb)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1016\/j.ijheh.2021.113692\">Epidemiological Surveillance of SARS-CoV-2 by Genome Quantification in Wastewater Applied to a City in the Northeast of France: Comparison of Ultrafiltration- and Protein Precipitation-Based Methods<\/a> \u2013 International Journal of Hygiene and Environmental Health (Jan)<\/li>\n<li><a href=\"https:\/\/doi.org\/10.1101\/2020.10.08.20204222\">Estimating Epidemiologic Dynamics from Cross-Sectional Viral Load Distributions<\/a> \u2013 MedRxiv\u202f: The Preprint Server for Health Sciences (Feb)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1177\/0033354921990370\">High Rates of COVID-19 Infection Among Indigenous Maya at a US Safety-Net Health System in California<\/a> \u2013 Public Health Reports (Washington, D.C.\u202f: 1974) (Feb)<\/li>\n<li><a href=\"https:\/\/doi.org\/10.1016\/j.chiabu.2020.104757\">Violence against Children during COVID-19: Assessing and Understanding Change in Use of Helplines<\/a> \u2013 Child Abuse &amp; Neglect (Sept)<\/li>\n<li><a href=\"https:\/\/doi.org\/10.1001\/jama.2021.1545\">Discriminant Accuracy of the SOFA Score for Determining the Probable Mortality of Patients With COVID-19 Pneumonia Requiring Mechanical Ventilation<\/a> \u2013 JAMA (Feb 17)<\/li>\n<li><a href=\"https:\/\/doi.org\/10.1001\/jama.2021.0189\">High-Income Countries Have Secured the Bulk of COVID-19 Vaccines<\/a> \u2013 JAMA (Feb)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The Minnesota Department of Health identified eight people who had been infected with the B.1.1.7 SARS-CoV-2 variant (first detected in the UK) from December 18, 2020\u2013January 11, 2021. Three people had a history of international travel during the 14 days before illness onset, and three additional people had traveled domestically.<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2021\/02\/17\/real-time-prediction-of-covid-19-related-mortality-using-electronic-health-records\/\">Read more<\/a><\/div>\n","protected":false},"author":7,"featured_media":646,"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-4315","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\/4315","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\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/comments?post=4315"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/4315\/revisions"}],"predecessor-version":[{"id":4343,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/4315\/revisions\/4343"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media\/646"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=4315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=4315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=4315"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=4315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}