Literature DB >> 33872190

Capturing COVID-like Symptoms At-Scale using Banner Ads: A Novel Survey Methodology Pilot using an Online News Platform.

Brian E Dixon1,2, Sumit Mukherjee3, Ashley Wiensch2, Mary L Gray4,5, Juan M Lavista Ferres3, Shaun J Grannis2,6.   

Abstract

BACKGROUND: Identifying new COVID-19 cases is challenging. Not every suspected case undergoes testing, because testing kits and other equipment are limited in many parts of the world. Yet populations increasingly use the internet to manage both home and work life during the pandemic, giving researchers mediated connections to millions of people sheltering in place.
OBJECTIVE: To assess the feasibility of using an online news platform to recruit volunteers willing to report COVID-like symptoms and behaviors.
METHODS: An online epidemiologic survey captured COVID-19 related symptoms and behaviors from individuals recruited through banner ads offered through Microsoft News. Respondents indicated whether they were experiencing symptoms, whether they received COVID-19 testing, and whether they traveled outside of their local area.
RESULTS: A total of 87,322 respondents completed the survey across a 3-week span at the end of April 2020, with 54.3% responses from the U.S. and 32.0% from Japan. Of respondents, 19,631 (22.3%) reported at least one symptom associated with COVID-19. Nearly two-fifths of these respondents (39.1%) reported >1 COVID-like symptom. Individuals who reported being tested for COVID-19 were significantly more likely to report symptoms (47.7% vs. 21.5%; P<.001). Symptom reporting rates positively correlated with per capita COVID-19 testing rates (R2=0.26; P<.001). Respondents were geographically diverse with all states and most ZIP Codes represented. More than half of respondents from both countries were >50 years of age.
CONCLUSIONS: News platforms can be used to quickly recruit study participants, enabling collection of infectious disease symptoms at-scale and with populations that are older than those found through social media platforms. Such platforms could enable epidemiologists and researchers to quickly assess trends in emerging infections potentially before at-risk populations present to clinics and hospitals for testing and/or treatment.

Entities:  

Year:  2021        PMID: 33872190     DOI: 10.2196/24742

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  2 in total

1.  Predicting panel attrition in longitudinal HRQoL surveys during the COVID-19 pandemic in the US.

Authors:  Tianzhou Yu; Jiafan Chen; Ning Yan Gu; Joel W Hay; Cynthia L Gong
Journal:  Health Qual Life Outcomes       Date:  2022-07-06       Impact factor: 3.077

2.  Challenges Faced in Large-Scale Nucleic Acid Testing during the Sudden Outbreak of the B.1.617.2 (Delta).

Authors:  Pingting Zhu; Meiyan Qian; Qiwei Wu; Xinyi Liu
Journal:  Int J Environ Res Public Health       Date:  2022-01-29       Impact factor: 3.390

  2 in total

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