{"id":2960,"date":"2020-12-30T12:56:09","date_gmt":"2020-12-30T20:56:09","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=2960"},"modified":"2020-12-31T13:27:26","modified_gmt":"2020-12-31T21:27:26","slug":"covid-19-literature-situation-report-dec-30-2020","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/12\/30\/covid-19-literature-situation-report-dec-30-2020\/","title":{"rendered":"COVID-19 LITERATURE SITUATION REPORT DEC. 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<p>We will distribute the Lit Rep on Mondays and Wednesdays between December 21 and January 1. Happy holidays.<\/p>\n<p><em>Today&#8217;s summary is based on a review of 1243 articles (1215 published, 28 in preprint)<\/em><\/p>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li><b>A nationally representative longitudinal survey (n=8,167) found that self-reported likelihood of getting a COVID-19 vaccine declined from 74% in early April to 56% in early December. Significant declines in the likelihood of vaccine uptake were observed in all gender, age, racial\/ethnic, and education subgroups. <\/b><a href=\"https:\/\/doi.org\/10.1001\/jama.2020.26419\">More<\/a><b><span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/li>\n<li><b>Healthcare workers with no prior SARS-CoV-2 infection were more likely than those with a confirmed infection during the first wave to present for symptomatic testing (21% vs 12%) and were more likely to test positive (14% vs 0%) during the second wave of the pandemic 6 months later. <\/b><a href=\"https:\/\/doi.org\/10.1016\/j.jinf.2020.12.023\">More<\/a><\/li>\n<li><b>Individuals who purchased a firearm during the COVID-19 pandemic more frequently endorsed suicidal ideation when compared to individuals who do not own firearms or purchased firearms prior to the pandemic. <\/b><a href=\"https:\/\/doi.org\/10.1016\/j.amepre.2020.10.013\">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\">Non-Pharmaceutical Interventions<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-2962\" class=\"su-post\">\n<h5 class=\"su-post-title\">Can Face Masks Offer Protection from Airborne Sneeze and Cough Droplets in Close-up, Face-to-Face Human Interactions?\u2014A Quantitative 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<p>With the exception of N95 masks, face coverings would not offer complete protection for a susceptible person exposed to coughing or sneezing of an infected person within 6 feet according to droplet flow visualization experiments. While no potentially virus-carrying particles were observed to leak through N95 masks when worn as protection, enough particles were found to leak through other face coverings, such as surgical and double-layer cloth masks, to expose the wearer to a sufficiently infectious dose.<\/p>\n<p><i>Akhtar et al. (Dec 22, 2020). Can Face Masks Offer Protection from Airborne Sneeze and Cough Droplets in Close-up, Face-to-Face Human Interactions?\u2014A Quantitative Study. Physics of Fluids. <\/i><a href=\"https:\/\/doi.org\/10.1063\/5.0035072\">https:\/\/doi.org\/10.1063\/5.0035072<\/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-2964\" class=\"su-post\">\n<h5 class=\"su-post-title\">Field Performance and Public Health Response Using the BinaxNOW Rapid SARS-CoV-2 Antigen Detection Assay during Community-Based Testing<\/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>Among 3,302 persons tested for SARS-CoV-2 by BinaxNOW Rapid SARS-CoV-2 antigen detection assay in a community setting with 7.2% prevalence, rapid assay sensitivity was 100%, 98.5%, and 89% using RT-PCR Ct thresholds of 30, 35 and none, respectively. The assay maintained high sensitivity performance across ages and those with and without symptoms. Assay specificity was 99.9%. The median time from on-site registration to electronic results notification of a positive rapid antigen test was 62 minutes (IQR: 47-82 minutes).<\/p>\n<p><i>Pilarowski et al. (Dec 26, 2020). Field Performance and Public Health Response Using the BinaxNOW Rapid SARS-CoV-2 Antigen Detection Assay during Community-Based Testing. Clinical Infectious Diseases. <\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa1890\">https:\/\/doi.org\/10.1093\/cid\/ciaa1890<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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-2968\" class=\"su-post\">\n<h5 class=\"su-post-title\">National Trends in the US Public\u2019s Likelihood of Getting a COVID-19 Vaccine\u2014April 1 to December 8, 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>A nationally representative longitudinal survey (n=8,167) found that self-reported likelihood of getting a COVID-19 vaccine declined from 74% in early April to 56% in early December. Declines were observed in likelihood of vaccine uptake for both women and men and in all age, racial\/ethnic, and education subgroups. As of December, the self-reported likelihood of vaccine uptake was lower among women than men (51% vs 62%) and Black than white individuals (38% vs 59%). Likelihood of vaccine uptake was higher among adults aged \u226565 years than those 18-49 years (69% vs 51%), and among individuals with at least a bachelor&#8217;s degree compared to those with a high school education or less (70% vs 48%).<\/p>\n<p><i>Szilagyi et al. (Dec 29, 2020). National Trends in the US Public\u2019s Likelihood of Getting a COVID-19 Vaccine\u2014April 1 to December 8, 2020. JAMA. <\/i><a href=\"https:\/\/doi.org\/10.1001\/jama.2020.26419\">https:\/\/doi.org\/10.1001\/jama.2020.26419<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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-2966\" class=\"su-post\">\n<h5 class=\"su-post-title\">Prior SARS-CoV-2 Infection Is Associated with Protection against Symptomatic Reinfection<\/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>In a retrospective cohort study of healthcare workers (HCW) (n=17,126) in the UK, HCW without confirmed SARS-CoV-2 infection (negative PCR and serology) during the first wave experienced higher rates of symptomatic testing and PCR test positivity rates in the second wave 6 months later than HCW with confirmed SARS-CoV-2 infection during the first wave. Only 12.3% of HCW with previous infection presented for symptomatic testing, compared to 20.8% of HCW without previous infection. No positive PCR tests were returned among HCW with previous infection, whereas HCW with no previous infection had a 13.7% test positivity rate.<\/p>\n<p><i>Hanrath et al. (Dec 26, 2020). Prior SARS-CoV-2 Infection Is Associated with Protection against Symptomatic Reinfection. Journal of Infection. <\/i><a href=\"https:\/\/doi.org\/10.1016\/j.jinf.2020.12.023\">https:\/\/doi.org\/10.1016\/j.jinf.2020.12.023<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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-2974\" class=\"su-post\">\n<h5 class=\"su-post-title\">COVID\u201019 Infection Prevention and Control Adherence in Long\u2010term Care Facilities, Atlanta, Georgia<\/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>Long-term care facilities (LTCF) with greater implementation of infection prevention and control (IPC) had a lower prevalence of COVID-19, according to analysis of 24 facilities in Fulton County, GA. Specifically, significant differences were observed in prevalence of implementation of IPCs belonging to the social distancing category (high prevalence LTCF, 54% vs low prevalence LTCFs, 74%) and to the personal protective equipment category (high prevalence LTCF, 41% vs low prevalence LTCFs, 72%). Overall prevalence of COVID-19 in the facilities analyzed was 39%. <span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<p><i>Telford et al. (Dec 28, 2020). COVID\u201019 Infection Prevention and Control Adherence in Long\u2010term Care Facilities, Atlanta, Georgia. Journal of the American Geriatrics Society. <\/i><a href=\"https:\/\/doi.org\/10.1111\/jgs.17001\">https:\/\/doi.org\/10.1111\/jgs.17001<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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-2972\" class=\"su-post\">\n<h5 class=\"su-post-title\">Previous Dengue Infection and Mortality in 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<p>In a prospective study of 2,351 people with COVID-19 SARS in Brazil, those with previous symptomatic dengue (n=1177) had a lower risk of death after a median follow-up of 60 days (adjusted HR = 0.44). History of other previous infections, including malaria, Zika, and chikungunya, were not associated with mortality. The authors suggest that dengue might induce a degree of immunological protection against SARS-CoV-2 infection.<\/p>\n<p><i>Silvestre et al. (Dec 29, 2020). Previous Dengue Infection and Mortality in COVID-19. Clinical Infectious Diseases. <\/i><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa1895\">https:\/\/doi.org\/10.1093\/cid\/ciaa1895<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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-2970\" class=\"su-post\">\n<h5 class=\"su-post-title\">Immune Deficiency Is a Risk Factor for Severe COVID\u201019 in People Living with HIV<\/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>Among 175 people living with HIV in the UK, US, and Spain, a current CD4 T-cell count of &lt;350 cells\/\u00b5L was independently associated with a 2.85-fold risk for developing severe COVID-19. A lower nadir CD4 T-cell count of &lt;200 cells\/\u00b5L was associated with mortality. No significant differences in risk of severe or critical COVID-19 were detected by gender, ethnicity, obesity, detectable HIV RNA, prior AIDS\u2010defining illness, tenofovir, or protease inhibitor use in the current antiretroviral treatment.<\/p>\n<p><i>Hoffmann et al. (Dec 27, 2020). Immune Deficiency Is a Risk Factor for Severe COVID\u201019 in People Living with HIV. HIV Medicine. <\/i><a href=\"https:\/\/doi.org\/10.1111\/hiv.13037\">https:\/\/doi.org\/10.1111\/hiv.13037<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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\">Mental Health and Personal Impact<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-2980\" class=\"su-post\">\n<h5 class=\"su-post-title\">Factors Associated with Psychological Distress during the Coronavirus Disease 2019 (COVID-19) Pandemic on the Predominantly General Population: A Systematic Review 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<p>A meta-analysis found the prevalence of pandemic-associated anxiety and depression was 33% and 30%, respectively. In an analysis of 68 studies comprising 288,830 participants from 19 countries, women, younger adults (&lt;35 years), those living in rural areas, and those with lower socioeconomic status had higher odds of experiencing anxiety. All factors except residential area were also associated with higher odds of depression. In addition, those with higher COVID-19 infection risk (living in hotspots, having pre-existing conditions) and longer media exposure had a higher odds of anxiety and depression.<\/p>\n<p><i>Wang et al. (Dec 28, 2020). Factors Associated with Psychological Distress during the Coronavirus Disease 2019 (COVID-19) Pandemic on the Predominantly General Population: A Systematic Review and Meta-Analysis. PLOS ONE. <\/i><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0244630\">https:\/\/doi.org\/10.1371\/journal.pone.0244630<\/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-2978\" class=\"su-post\">\n<h5 class=\"su-post-title\">Suicidal Ideation Among Individuals Who Have Purchased Firearms During 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<p>Individuals who purchased a firearm during the COVID-19 pandemic more frequently reported suicidal ideation than individuals who do not own firearms or purchased firearms prior to the pandemic in a quota-sampled cross-sectional survey (n=3,500). Regardless of suicidal ideation, safety and protection at home were the most frequently endorsed reasons for firearm acquisition.<\/p>\n<p><i>Anestis et al. (Nov 16, 2020). Suicidal Ideation Among Individuals Who Have Purchased Firearms During COVID-19. American Journal of Preventive Medicine. <\/i><a href=\"https:\/\/doi.org\/10.1016\/j.amepre.2020.10.013\">https:\/\/doi.org\/10.1016\/j.amepre.2020.10.013<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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-2976\" class=\"su-post\">\n<h5 class=\"su-post-title\">Preliminary Investigation of the Association between COVID-19 and Suicidal Thoughts and Behaviors in the U.S. Journal of Psychiatric Research<\/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>In a cross-sectional online survey of an Amazon Mechanical Turk sample (n=907), nearly half of participants endorsing general past-month suicidal ideation reported their thoughts were linked to COVID-19. Physical safety concerns and general distress due to COVID-19 were significantly associated with general past-month suicidal ideation. A small proportion (7%) reported intentionally exposing themselves to COVID-19 with suicidal intent.<\/p>\n<p><i>Ammerman et al. (Dec 15, 2020). Preliminary Investigation of the Association between COVID-19 and Suicidal Thoughts and Behaviors in the U.S. Journal of Psychiatric Research. <\/i><a href=\"https:\/\/doi.org\/10.1016\/j.jpsychires.2020.12.037\">https:\/\/doi.org\/10.1016\/j.jpsychires.2020.12.037<\/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-2982\" class=\"su-post\">\n<h5 class=\"su-post-title\">Chopping the Tail: How Preventing Superspreading Can Help to Maintain COVID-19 Control<\/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>Interventions that specifically target superspreading events while partially relaxing social distancing could be a viable alternative to blanket policies, according to a transmission model incorporating a variety of non-pharmaceutical interventions parametrized to a variety of settings. Removing the top 1% of individual transmission rates (essentially, superspreading events that connect a single infectious person to large numbers of people) with 75% efficiency could suppress epidemic growth.<\/p>\n<p><i>Kain et al. (Dec 21, 2020). Chopping the Tail: How Preventing Superspreading Can Help to Maintain COVID-19 Control. Epidemics. <\/i><a href=\"https:\/\/doi.org\/10.1016\/j.epidem.2020.100430\">https:\/\/doi.org\/10.1016\/j.epidem.2020.100430<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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\">Public Health Policy and Practice<\/h2>\n<div class=\"su-posts su-posts-default-loop\">\n<div id=\"su-post-2986\" class=\"su-post\">\n<h5 class=\"su-post-title\">Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 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<p>Patients scheduled for telemedicine visits who were older, Asian, non-English-speaking and on Medicaid had lower uptake of telemedicine visits during the early phase of the pandemic in a retrospective cohort study of 148,402 patients in Pennsylvania. Patients who were older, female, Black, Latinx, and those with income &lt;$50,000 had less video use. No significant differences were found across medical specialties.<\/p>\n<p><i>Eberly et al. (Dec 29, 2020). Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic. JAMA Network Open. <\/i><a href=\"https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.31640\">https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.31640<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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-2984\" class=\"su-post\">\n<h5 class=\"su-post-title\">Association of Substance Use Disorders and Drug Overdose with Adverse COVID-19 Outcomes in New York City: January\u2013October 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>A history of substance use disorder (SUD) and drug overdose is a risk factor for adverse outcomes in patients diagnosed with COVID-19 in New York City. In a retrospective review of the medical records from 188,653 patients diagnosed with COVID in the NYU system, both SUD and drug overdose were associated with hospitalization, ICU admission, and death. Specifically, alcohol use disorder was associated with a 6.7-fold risk for hospitalization, overdose with a 5-fold risk for ICU admission, and overdose with a 3-fold risk for death.<\/p>\n<p><i>Allen et al. (Dec 26, 2020). Association of Substance Use Disorders and Drug Overdose with Adverse COVID-19 Outcomes in New York City: January\u2013October 2020. Journal of Public Health. <\/i><a href=\"https:\/\/doi.org\/10.1093\/pubmed\/fdaa241\">https:\/\/doi.org\/10.1093\/pubmed\/fdaa241<\/a><i><span class=\"Apple-converted-space\">\u00a0<\/span><\/i><\/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\/10.1136\/bmj.m4941\">Covid-19: Tests on Students Are Highly Inaccurate, Early Findings Show<\/a> \u2013 BMJ (Dec 23)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1128\/JCM.02769-20\">The Importance and Challenges of Identifying SARS-CoV-2 Reinfections<\/a> \u2013 Journal of Clinical Microbiology (Dec 23)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0244049\">Parents\u2019 and Guardians\u2019 Views and Experiences of Accessing Routine Childhood Vaccinations during the Coronavirus (COVID-19) Pandemic: A Mixed Methods Study in England<\/a> \u2013 PLOS ONE (Dec 28)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1016\/j.addr.2020.12.011\">COVID-19 Vaccines: The Status and Perspectives in Delivery Points of View<\/a> \u2013 Advanced Drug Delivery Reviews (Dec 24)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.7326\/M20-6625\">Masks and Face Coverings for the Lay Public<\/a> \u2013 Annals of Internal Medicine (Dec 29)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1002\/fee.2275\">Anticipating the Impacts of the COVID\u201019 Pandemic on Wildlife<\/a> \u2013 Frontiers in Ecology and the Environment (Dec 1)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1001\/jama.2020.26553\">Mandating COVID-19 Vaccines<\/a> \u2013 JAMA (Dec 29)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1016\/S0140-6736(20)32727-6\">COVID-19 Vaccines and Women\u2019s Security<\/a> \u2013 The Lancet (Dec 22)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1016\/S1473-3099(20)30948-8\">COVID-19 Testing in Slovakia<\/a> \u2013 The Lancet Infectious Diseases (Jan 1)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1038\/d41586-020-03605-6\">What the Data Say about Border Closures and COVID Spread<\/a> \u2013 Nature (Dec 22)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78758-5\">Artificial Intelligence Predicts the Immunogenic Landscape of SARS-CoV-2 Leading to Universal Blueprints for Vaccine Designs<\/a> \u2013 Scientific Reports (Dec 23)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1111\/gwao.12590\">Women and the Weight of a Pandemic: A Survey of Four Western US States Early in the Coronavirus Outbreak<\/a> \u2013 Gender, Work &amp; Organization (Dec 8)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33361100\">Early Use of Nitazoxanide in Mild Covid-19 Disease: Randomised, Placebo-Controlled Trial<\/a> \u2013 The European Respiratory Journal (Dec 4)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0243708\">Children\u2019s Emotion Inferences from Masked Faces: Implications for Social Interactions during COVID-19<\/a> \u2013 PloS One (Dec 23)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1093\/cid\/ciaa1899\">Unexpected Lessons from the COVID-19 Lockdowns in France: Low Impact of School Opening on Common Communicable Pediatric Airborne Diseases<\/a> \u2013 Clinical Infectious Diseases (Dec 29)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.1001\/jamapediatrics.2020.5817\">One Year Later, How Does COVID-19 Affect Children?<\/a> \u2013 JAMA Pediatrics (Dec 28)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/doi.org\/10.3390\/children7120311\">Risk Perception of COVID-19 Infection and Adherence to Preventive Measures among Adolescents and Young Adults<\/a> \u2013 Children (Dec 21)<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li><\/li>\n<\/ul>\n<p>Report prepared by the UW Alliance for Pandemic Preparedness and the START Center in collaboration with and on behalf of WA DOH COVID-19 Incident Management Team.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A nationally representative longitudinal survey (n=8,167) found that self-reported likelihood of getting a COVID-19 vaccine declined from 74% in early April to 56% in early December. Significant declines in the likelihood of vaccine uptake were observed in all gender, age, racial\/ethnic, and education subgroups.<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/12\/30\/association-of-substance-use-disorders-and-drug-overdose-with-adverse-covid-19-outcomes-in-new-york-city-january-october-2020\/\">Read more<\/a><\/div>\n","protected":false},"author":7,"featured_media":1713,"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-2960","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\/2960","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=2960"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/2960\/revisions"}],"predecessor-version":[{"id":2988,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/2960\/revisions\/2988"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media\/1713"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=2960"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=2960"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=2960"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=2960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}