دورية أكاديمية

Capturing COVID-19-Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study.

التفاصيل البيبلوغرافية
العنوان: Capturing COVID-19-Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study.
المؤلفون: Dixon BE; Department of Epidemiology, Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States., Mukherjee S; AI for Good Research Lab, Microsoft Corporation, Redmond, WA, United States., Wiensch A; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States., Gray ML; New England Lab, Microsoft Research, Cambridge, MA, United States.; Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States., Ferres JML; AI for Good Research Lab, Microsoft Corporation, Redmond, WA, United States., Grannis SJ; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Department of Family Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.
المصدر: Journal of medical Internet research [J Med Internet Res] 2021 May 20; Vol. 23 (5), pp. e24742. Date of Electronic Publication: 2021 May 20.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
أسماء مطبوعة: Publication: <2011- > : Toronto : JMIR Publications
Original Publication: [Pittsburgh, PA? : s.n., 1999-
مواضيع طبية MeSH: Advertising/*methods , COVID-19 Testing/*methods , Internet Use/*statistics & numerical data , Social Media/*statistics & numerical data, Adolescent ; Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Pandemics ; Pilot Projects ; SARS-CoV-2/isolation & purification ; Surveys and Questionnaires ; Young Adult
مستخلص: 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: The goal of this study was to assess the feasibility of using an online news platform to recruit volunteers willing to report COVID-19-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% of the responses from the United States and 32.0% from Japan. Of the total respondents, 19,631 (22.3%) reported at least one symptom associated with COVID-19. Nearly two-fifths of these respondents (39.1%) reported more than one COVID-19-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 (R 2 =0.26; P<.001). Respondents were geographically diverse, with all states and most ZIP Codes represented. More than half of the respondents from both countries were older than 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.
(©Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M Lavista Ferres, Shaun J Grannis. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 20.05.2021.)
References: MMWR Morb Mortal Wkly Rep. 2020 Jul 24;69(29):960-964. (PMID: 32701938)
JAMA. 2020 May 26;323(20):2087-2089. (PMID: 32301962)
JMIR Public Health Surveill. 2020 May 5;6(2):e19374. (PMID: 32338613)
Eur Arch Otorhinolaryngol. 2020 Aug;277(8):2251-2261. (PMID: 32253535)
JMIR Mhealth Uhealth. 2020 Jul 6;8(7):e19902. (PMID: 32568728)
J Med Internet Res. 2020 May 28;22(5):e19421. (PMID: 32452804)
J Intern Med. 2020 Aug;288(2):192-206. (PMID: 32348588)
JMIR Public Health Surveill. 2020 Apr 27;6(2):e18576. (PMID: 32319956)
J Med Internet Res. 2020 Apr 28;22(4):e16206. (PMID: 32310818)
JMIR Mhealth Uhealth. 2020 Jun 23;8(6):e19822. (PMID: 32516750)
Nat Med. 2020 Jul;26(7):1037-1040. (PMID: 32393804)
J Med Internet Res. 2020 Jun 11;22(6):e19855. (PMID: 32496206)
Nature. 2020 Aug;584(7821):425-429. (PMID: 32604404)
J Med Internet Res. 2009 Mar 27;11(1):e11. (PMID: 19329408)
J Biomed Inform. 2009 Apr;42(2):377-81. (PMID: 18929686)
PLoS One. 2021 Mar 24;16(3):e0241875. (PMID: 33760821)
JMIR Mhealth Uhealth. 2020 Sep 16;8(9):e19796. (PMID: 32609622)
JMIR Public Health Surveill. 2020 Jun 8;6(2):e19509. (PMID: 32490846)
Am J Prev Med. 2020 Dec;59(6):887-891. (PMID: 32978011)
J Biomed Inform. 2019 Jul;95:103208. (PMID: 31078660)
Int J Infect Dis. 2020 May;94:91-95. (PMID: 32173574)
فهرسة مساهمة: Keywords: COVID-19; coronavirus; epidemiology; research subject recruitment; signs and symptoms
تواريخ الأحداث: Date Created: 20210419 Date Completed: 20210623 Latest Revision: 20210623
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC8139394
DOI: 10.2196/24742
PMID: 33872190
قاعدة البيانات: MEDLINE
الوصف
تدمد:1438-8871
DOI:10.2196/24742