Evidence map›Paper›PMID 33872190›Full record

ArticleJournal of medical Internet research2021

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

Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M Lavista Ferres, Shaun J Grannis

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Supporting rapid innovation in research data capture and management: the REDCap external module framework.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  2. Article
  3. Article
  4. Challenges Faced in Large-Scale Nucleic Acid Testing during the Sudden Outbreak of the B.1.617.2 (Delta).International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Brian E DixonDepartment of Epidemiology, Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.ORCID 0000-0002-1121-0607
Sumit MukherjeeAI for Good Research Lab, Microsoft Corporation, Redmond, WA, United States.ORCID 0000-0001-6532-3343
Ashley WienschCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0001-6694-8089
Mary L GrayNew England Lab, Microsoft Research, Cambridge, MA, United States.ORCID 0000-0001-9972-6829
Juan M Lavista FerresAI for Good Research Lab, Microsoft Corporation, Redmond, WA, United States.ORCID 0000-0002-9654-3178
Shaun J GrannisCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0002-8093-6639
Microsoft (United States) · USRegenstrief Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying 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.

objectiveThe 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.

methodsAn 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.

resultsA 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

conclusionsNews 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.

Indexed as

AdolescentAdultAdvertisingAgedAged, 80 and overCOVID-19 TestingFemaleHumansInternet UseMaleMiddle AgedPandemicsPilot ProjectsSARS-CoV-2Social MediaSurveys and QuestionnairescoronavirusCOVID-19epidemiologyresearch subject recruitmentsigns and symptoms

Identifiers

PMID33872190
PMCPMC8139394
OpenAlexW3155918475

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.