Literature DB >> 33938937

Factors Associated With Access to and Timing of Coronavirus Testing Among US Adults After Onset of Febrile Illness.

Mark J Pletcher1,2, Jeffrey E Olgin3, Noah D Peyser3, Madelaine Faulkner Modrow1, Feng Lin1, Jeffrey Martin1, Thomas Carton4, Alexis L Beatty1,3, Eric Vittinghoff1, Gregory M Marcus3.   

Abstract

Importance: Active SARS-CoV-2 (coronavirus) transmission continues in the US. It is unclear whether better access to coronavirus testing and more consistent use of testing could substantially reduce transmission. Objective: To describe coronavirus testing in persons with new onset of febrile illness and analyze whether there are changes over time and differences by race and ethnicity. Design, Setting, and Participants: This cohort study used data from the COVID-19 Citizen Science Study, launched in March 2020, which recruited participants via press release, word-of-mouth, and partner organizations. Participants completed daily surveys about COVID-19 symptoms and weekly surveys about coronavirus testing. All adults (aged at least 18 years) with a smartphone were eligible to join. For this analysis, US participants with new onset of febrile illness from April 2020 to October 2020 were included. Data analysis was performed from November 2020 to March 2021. Main Outcomes and Measures: Receipt of a coronavirus test result within 7 days of febrile illness onset.
Results: Of the 2679 participants included in this analysis, the mean (SD) age was 46.3 (13.4) years, 1983 were female (74%), 2017 were college educated (75%), and a total of 3865 distinct new febrile illness episodes were reported (300 episodes [7.8%] from Hispanic participants, 71 episodes [1.8%] from Black participants, and 3494 episodes [90.4%] from not Black, not Hispanic participants) between April 2 and October 23, 2020. In weekly surveys delivered during the 14 days after fever onset, 12% overall (753 participants) indicated receipt of a test result. Using serial survey responses and parametric time-to-event modeling, it was estimated that by 7 days after onset of febrile illness, a total of 20.5% (95% CI, 19.1%-22.0%) had received a test result. This proportion increased from 9.8% (95% CI, 7.5%-12.0%) early in the epidemic to 24.1% (95% CI, 21.5%-26.7%) at the end of July, but testing rates did not substantially improve since then, increasing to 25.9% (95% CI; 21.6%-30.3%) in late October at the start of the winter surge. Black participants reported receiving a test result about half as often as others (7% [7 of 103] of survey responses vs 12% [53 of 461] for Hispanic vs 13% [693 of 5516] for not Black, not Hispanic; P = .03). This association was not statistically significant in adjusted time-to-event models (hazard ratio = 0.59 vs not Black, not Hispanic participants; 95% CI, 0.26-1.34). Conclusions and Relevance: Systematic underuse of coronavirus testing was observed in this cohort study through late October 2020, at the beginning of the winter COVID-19 surge, which may have contributed to preventable coronavirus transmission.

Entities:  

Year:  2021        PMID: 33938937     DOI: 10.1001/jamanetworkopen.2021.8500

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


  6 in total

1.  Global influenza surveillance systems to detect the spread of influenza-negative influenza-like illness during the COVID-19 pandemic: Time series outlier analyses from 2015-2020.

Authors:  Natalie L Cobb; Sigrid Collier; Engi F Attia; Orvalho Augusto; T Eoin West; Bradley H Wagenaar
Journal:  PLoS Med       Date:  2022-07-19       Impact factor: 11.613

2.  Racial/Ethnic Disparities in Healthcare Worker Experiences During the COVID-19 Pandemic: An Analysis of the HERO Registry.

Authors:  Jay B Lusk; Haolin Xu; Laine E Thomas; Lauren W Cohen; Adrian F Hernandez; Christopher B Forrest; Henry J Michtalik; Kisha Batey Turner; Emily C O'Brien; Nadine J Barrett
Journal:  EClinicalMedicine       Date:  2022-03-05

3.  Analysis of COVID-19 Vaccine Type and Adverse Effects Following Vaccination.

Authors:  Alexis L Beatty; Noah D Peyser; Xochitl E Butcher; Jennifer M Cocohoba; Feng Lin; Jeffrey E Olgin; Mark J Pletcher; Gregory M Marcus
Journal:  JAMA Netw Open       Date:  2021-12-01

4.  Willingness and uptake of the COVID-19 testing and vaccination in urban China during the low-risk period: a cross-sectional study.

Authors:  Suhang Song; Shujie Zang; Liubing Gong; Cuilin Xu; Leesa Lin; Mark R Francis; Zhiyuan Hou
Journal:  BMC Public Health       Date:  2022-03-21       Impact factor: 3.295

5.  Epidemiologic Profile of Severe Acute Respiratory Infection in Brazil During the COVID-19 Pandemic: An Epidemiological Study.

Authors:  Nathália Mariana Santos Sansone; Matheus Negri Boschiero; Fernando Augusto Lima Marson
Journal:  Front Microbiol       Date:  2022-07-01       Impact factor: 6.064

6.  Real-time pandemic surveillance using hospital admissions and mobility data.

Authors:  Spencer J Fox; Michael Lachmann; Mauricio Tec; Remy Pasco; Spencer Woody; Zhanwei Du; Xutong Wang; Tanvi A Ingle; Emily Javan; Maytal Dahan; Kelly Gaither; Mark E Escott; Stephen I Adler; S Claiborne Johnston; James G Scott; Lauren Ancel Meyers
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-15       Impact factor: 12.779

  6 in total

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