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1.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.03.18.22272631

ABSTRACT

Objective : To determine whether modified K-12 student quarantine policies that allow some students to continue in-person education during their quarantine period increase schoolwide SARS-CoV-2 transmission risk following the increase in cases in winter 2020-2021. Methods : We conducted a prospective cohort study of COVID-19 cases and exposures among students and staff (n=65,621) in 103 Missouri public schools. Participants were offered free, saliva-based RT-PCR testing. An adjusted Cox regression model compared hazard rates of school-based SARS-CoV-2 infections between schools with a modified versus standard quarantine policy. Results : From January-March 2021, a projected 23 (1%) school-based transmission events occurred among 1,636 school close contacts. There was no difference in the adjusted hazard rates of school-based SARS-CoV-2 infections between schools with a modified versus standard quarantine policy (hazard ratio=1.00; 95% confidence interval: 0.97-1.03). Discussion : School-based SARS-CoV-2 transmission was rare in 103 K-12 schools implementing multiple COVID-19 prevention strategies. Modified student quarantine policies were not associated with increased school incidence of COVID-19. Modifications to student quarantine policies may be a useful strategy for K-12 schools to safely reduce disruptions to in-person education during times of increased COVID-19 community incidence.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
2.
biorxiv; 2021.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2021.11.24.469906

ABSTRACT

The divergence of SARS-CoV-2 into variants of concern/interest (VOC/VOI) necessitated analysis of their impact on vaccines. Escape from vaccine-induced antibodies by SARS-CoV-2 VOC/VOIs was analyzed to ascertain and rank their risk. The variants showed differential reductions in neutralization and replication titers by the post-vaccination sera with Beta variant showing the most neutralization escape that was mechanistically driven by mutations in both the N-terminal domain and receptor-binding domain of the spike.


Subject(s)
COVID-19
3.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.06.01.21257987

ABSTRACT

ABSTRACT BACKGROUND: Information is limited on messenger RNA (mRNA) BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) COVID-19 vaccine effectiveness (VE) in preventing SARS-CoV-2 infection or attenuating disease when administered in real-world conditions. METHODS: Prospective cohorts of 3,975 healthcare personnel, first responders, and other essential and frontline workers completed weekly SARS-CoV-2 testing during December 14 2020--April 10 2021. Self-collected mid-turbinate nasal swabs were tested by qualitative and quantitative reverse-transcription--polymerase-chain-reaction (RT-PCR). VE was calculated as 100%x (1-hazard ratio); adjusted VE was calculated using vaccination propensity weights and adjustments for site, occupation, and local virus circulation . RESULTS: SARS-CoV-2 was detected in 204 (5.1%) participants; 16 were partially ([≥]14 days post-dose-1 to 13 days after dose-2) or fully ([≥]14 days post-dose-2) vaccinated, and 156 were unvaccinated; 32 with indeterminate status (<14 days after dose-1) were excluded. Adjusted mRNA VE of full vaccination was 91% (95% confidence interval [CI]=76%--97%) against symptomatic or asymptomatic SARS-CoV-2 infection; VE of partial vaccination was 81% (95% CI=64%-90%). Among partially or fully vaccinated participants with SARS-CoV-2 infection, mean viral RNA load (Log10 copies/mL) was 40% lower (95% CI=16%-57%), the risk of self-reported febrile COVID-19 was 58% lower (Risk Ratio=0.42, 95% CI=0.18-0.98), and 2.3 fewer days (95% CI=0.8-3.7) were spent sick in bed compared to unvaccinated infected participants. CONCLUSIONS: Authorized mRNA vaccines were highly effective among working-age adults in preventing SARS-CoV-2 infections when administered in real-world conditions and attenuated viral RNA load, febrile symptoms, and illness duration among those with breakthrough infection despite vaccination.


Subject(s)
COVID-19 , Breakthrough Pain , Severe Acute Respiratory Syndrome
4.
biorxiv; 2021.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2021.04.11.439379

ABSTRACT

Background: Approximately 67% of U.S. households have pets. Limited data are available on SARS-CoV-2 in pets. We assessed SARS-CoV-2 infection in pet cohabitants as a sub-study of an ongoing COVID-19 household transmission investigation. Methods: Mammalian pets from households with >=1 person with laboratory-confirmed COVID-19 were eligible for inclusion from April-May 2020. Demographic/exposure information, oropharyngeal, nasal, rectal, and fur swabs, feces, and blood were collected from enrolled pets and tested by rRT-PCR and virus neutralization assays. Findings: We enrolled 37 dogs and 19 cats from 34 of 41 eligible households. All oropharyngeal, nasal, and rectal swabs tested negative by rRT-PCR; one dog's fur swabs (2%) tested positive by rRT-PCR at the first animal sampling. Among 47 pets with serological results from 30 households, eight (17%) pets (4 dogs, 4 cats) from 6 (20%) households had detectable SARS-CoV-2 neutralizing antibodies. In households with a seropositive pet, the proportion of people with laboratory-confirmed COVID-19 was greater (median 79%; range: 40-100%) compared to households with no seropositive pet (median 37%; range: 13-100%) (p=0.01). Thirty-three pets with serologic results had frequent daily contact (>=1 hour) with the human index patient before the person's COVID-19 diagnosis. Of these 33 pets, 14 (42%) had decreased contact with the human index patient after diagnosis and none (0%) were seropositive; of the 19 (58%) pets with continued contact, 4 (21%) were seropositive. Interpretations: Seropositive pets likely acquired infection from humans, which may occur more frequently than previously recognized. People with COVID-19 should restrict contact with animals.


Subject(s)
COVID-19
6.
biorxiv; 2020.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2020.04.22.055897

ABSTRACT

SARS-CoV-2 recently emerged, resulting a global pandemic. Rapid genomic information is critical to understanding transmission and pathogenesis. Here, we describe validated protocols for generating high-quality full-length genomes from primary samples. The first employs multiplex RT-PCR followed by MinION or MiSeq sequencing. The second uses singleplex, nested RT-PCR and Sanger sequencing.

7.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.04.02.20051417

ABSTRACT

Following its emergence in Wuhan, China, in late November or early December 2019, the SARS-CoV-2 virus has rapidly spread throughout the world. On March 11, 2020, the World Health Organization declared Coronavirus Disease 2019 (COVID-19) a pandemic. Genome sequencing of SARS-CoV-2 strains allows for the reconstruction of transmission history connecting these infections. Here, we analyze 346 SARS-CoV-2 genomes from samples collected between 20 February and 15 March 2020 from infected patients in Washington State, USA. We found that the large majority of SARS-CoV-2 infections sampled during this time frame appeared to have derived from a single introduction event into the state in late January or early February 2020 and subsequent local spread, strongly suggesting cryptic spread of COVID-19 during the months of January and February 2020, before active community surveillance was implemented. We estimate a common ancestor of this outbreak clade as occurring between 18 January and 9 February 2020. From genomic data, we estimate an exponential doubling between 2.4 and 5.1 days. These results highlight the need for large-scale community surveillance for SARS-CoV-2 introductions and spread and the power of pathogen genomics to inform epidemiological understanding.


Subject(s)
Coronavirus Infections , Severe Acute Respiratory Syndrome , COVID-19 , Infections
8.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.03.27.20044925

ABSTRACT

The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 has spread globally, resulting in >300,000 reported cases worldwide as of March 21st, 2020. Here we investigate the genetic diversity and genomic epidemiology of SARS-CoV-2 in Northern California using samples from returning travelers, cruise ship passengers, and cases of community transmission with unclear infection sources. Virus genomes were sampled from 29 patients diagnosed with COVID-19 infection from Feb 3rd through Mar 15th. Phylogenetic analyses revealed at least 8 different SARS-CoV-2 lineages, suggesting multiple independent introductions of the virus into the state. Virus genomes from passengers on two consecutive excursions of the Grand Princess cruise ship clustered with those from an established epidemic in Washington State, including the WA1 genome representing the first reported case in the United States on January 19th. We also detected evidence for presumptive transmission of SARS-CoV-2 lineages from one community to another. These findings suggest that cryptic transmission of SARS-CoV-2 in Northern California to date is characterized by multiple transmission chains that originate via distinct introductions from international and interstate travel, rather than widespread community transmission of a single predominant lineage. Rapid testing and contact tracing, social distancing, and travel restrictions are measures that will help to slow SARS-CoV-2 spread in California and other regions of the USA.


Subject(s)
COVID-19
9.
Stephanie A. Kujawski; Karen K Wong; Jennifer P. Collins; Lauren Epstein; Marie E. Killerby; Claire M. Midgley; Glen R. Abedi; N. Seema Ahmed; Olivia Almendares; Francisco N. Alvarez; Kayla N. Anderson; Sharon Balter; Vaughn Barry; Karri Bartlett; Karlyn Beer; Michael A. Ben-Aderet; Isaac Benowitz; Holly Biggs; Alison M. Binder; Stephanie R. Black; Brandon Bonin; Catherine M. Brown; Hollianne Bruce; Jonathan Bryant-Genevier; Alicia Budd; Diane Buell; Rachel Bystritsky; Jordan Cates; E. Matt Charles; Kevin Chatham-Stephens; Nora Chea; Howard Chiou; Demian Christiansen; Victoria Chu; Sara Cody; Max Cohen; Erin Conners; Aaron Curns; Vishal Dasari; Patrick Dawson; Traci DeSalvo; George Diaz; Matthew Donahue; Suzanne Donovan; Lindsey M. Duca; Keith Erickson; Mathew D. Esona; Suzanne Evans; Jeremy Falk; Leora R. Feldstein; Martin Fenstersheib; Marc Fischer; Rebecca Fisher; Chelsea Foo; Marielle J. Fricchione; Oren Friedman; Alicia M. Fry; Romeo R. Galang; Melissa M. Garcia; Susa I. Gerber; Graham Gerrard; Isaac Ghinai; Prabhu Gounder; Jonathan Grein; Cheri Grigg; Jeffrey D. Gunzenhauser; Gary I. Gutkin; Meredith Haddix; Aron J. Hall; George Han; Jennifer Harcourt; Kathleen Harriman; Thomas Haupt; Amber Haynes; Michelle Holshue; Cora Hoover; Jennifer C. Hunter; Max W. Jacobs; Claire Jarashow; Michael A. Jhung; Kiran Joshi; Talar Kamali; Shifaq Kamili; Lindsay Kim; Moon Kim; Jan King; Hannah L. Kirking; Amanda Kita-Yarbro; Rachel Klos; Miwako Kobayashi; Anna Kocharian; Kenneth K. Komatsu; Ram Koppaka; Jennifer E. Layden; Yan Li; Scott Lindquist; Stephen Lindstrom; Ruth Link-Gelles; Joana Lively; Michelle Livingston; Kelly Lo; Jennifer Lo; Xiaoyan Lu; Brian Lynch; Larry Madoff; Lakshmi Malapati; Gregory Marks; Mariel Marlow; Glenn E. Mathisen; Nancy McClung; Olivia McGovern; Tristan D. McPherson; Mitali Mehta; Audrey Meier; Lynn Mello; Sung-sil Moon; Margie Morgan; Ruth N. Moro; Janna' Murray; Rekha Murthy; Shannon Novosad; Sara E. Oliver; Jennifer O'Shea; Massimo Pacilli; Clinton R. Paden; Mark A. Pallansch; Manisha Patel; Sajan Patel; Isabel Pedraza; Satish K. Pillai; Talia Pindyck; Ian Pray; Krista Queen; Nichole Quick; Heather Reese; Brian Rha; Heather Rhodes; Susan Robinson; Philip Robinson; Melissa Rolfes; Janell Routh; Rachel Rubin; Sarah L. Rudman; Senthilkumar K. Sakthivel; Sarah Scott; Christopher Shepherd; Varun Shetty; Ethan A. Smith; Shanon Smith; Bryan Stierman; William Stoecker; Rebecca Sunenshine; Regina Sy-Santos; Azaibi Tamin; Ying Tao; Dawn Terashita; Natalie J. Thornburg; Suxiang Tong; Elizabeth Traub; Ahmet Tural; Anna Uehara; Timothy M. Uyeki; Grace Vahey; Jennifer R. Verani; Elsa Villarino; Megan Wallace; Lijuan Wang; John T. Watson; Matthew Westercamp; Brett Whitaker; Sarah Wilkerson; Rebecca C. Woodruff; Jonathan M. Wortham; Tiffany Wu; Amy Xie; Anna Yousaf; Matthew Zahn; Jing Zhang.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.03.09.20032896

ABSTRACT

Introduction: More than 93,000 cases of coronavirus disease (COVID-19) have been reported worldwide. We describe the epidemiology, clinical course, and virologic characteristics of the first 12 U.S. patients with COVID-19. Methods: We collected demographic, exposure, and clinical information from 12 patients confirmed by CDC during January 20-February 5, 2020 to have COVID-19. Respiratory, stool, serum, and urine specimens were submitted for SARS-CoV-2 rRT-PCR testing, virus culture, and whole genome sequencing. Results: Among the 12 patients, median age was 53 years (range: 21-68); 8 were male, 10 had traveled to China, and two were contacts of patients in this series. Commonly reported signs and symptoms at illness onset were fever (n=7) and cough (n=8). Seven patients were hospitalized with radiographic evidence of pneumonia and demonstrated clinical or laboratory signs of worsening during the second week of illness. Three were treated with the investigational antiviral remdesivir. All patients had SARS-CoV-2 RNA detected in respiratory specimens, typically for 2-3 weeks after illness onset, with lowest rRT-PCR Ct values often detected in the first week. SARS-CoV-2 RNA was detected after reported symptom resolution in seven patients. SARS-CoV-2 was cultured from respiratory specimens, and SARS-CoV-2 RNA was detected in stool from 7/10 patients. Conclusions: In 12 patients with mild to moderately severe illness, SARS-CoV-2 RNA and viable virus were detected early, and prolonged RNA detection suggests the window for diagnosis is long. Hospitalized patients showed signs of worsening in the second week after illness onset.


Subject(s)
COVID-19 , Coronavirus Infections , Fever , Pneumonia
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