Evidence map›Paper›PMID 28520492›Full record

ArticleAmerican journal of public health2017

Use of a Digital Health Application for Influenza Surveillance in China.

Yulin Hswen, John S Brownstein, Jeremiah Liu, Jared B Hawkins

Abstract read
In one paragraph

Article in American journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Factors influencing the immunogenicity of influenza vaccines.Human vaccines & immunotherapeutics · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. PEACOCK: A Map-Based Multitype Infectious Disease Outbreak Information System.IEEE access : practical innovations, open solutions · 2019
    Article
  17. Article
  18. 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

4 authors.

Yulin HswenYulin Hswen is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA. Yulin Hswen, John S. Brownstein, and Jared B. Hawkins are with the Informatics Program, Boston Children's Hospital, Boston. John S. Brownstein and Jared B. Hawkins are also with the Department of Pediatrics and the Department of Biomedical Informatics, Harvard Medical School, Boston. Jeremiah Liu is with the Department of Biostatistics, Harvard T. H. Chan School of Public Health.
John S BrownsteinYulin Hswen is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA. Yulin Hswen, John S. Brownstein, and Jared B. Hawkins are with the Informatics Program, Boston Children's Hospital, Boston. John S. Brownstein and Jared B. Hawkins are also with the Department of Pediatrics and the Department of Biomedical Informatics, Harvard Medical School, Boston. Jeremiah Liu is with the Department of Biostatistics, Harvard T. H. Chan School of Public Health.
Jeremiah LiuYulin Hswen is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA. Yulin Hswen, John S. Brownstein, and Jared B. Hawkins are with the Informatics Program, Boston Children's Hospital, Boston. John S. Brownstein and Jared B. Hawkins are also with the Department of Pediatrics and the Department of Biomedical Informatics, Harvard Medical School, Boston. Jeremiah Liu is with the Department of Biostatistics, Harvard T. H. Chan School of Public Health.
Jared B HawkinsYulin Hswen is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA. Yulin Hswen, John S. Brownstein, and Jared B. Hawkins are with the Informatics Program, Boston Children's Hospital, Boston. John S. Brownstein and Jared B. Hawkins are also with the Department of Pediatrics and the Department of Biomedical Informatics, Harvard Medical School, Boston. Jeremiah Liu is with the Department of Biostatistics, Harvard T. H. Chan School of Public Health.

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Boston Biomedical Innovation CenterU54HL119145 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLAN, DAVID E., LOSCALZO, JOSEPH · 2013 to 2021
$18.8M
A Platform for Modeling the Global Impact of Climate Change on Infectious DiseaseR01LM010812 · NLM · BOSTON CHILDREN'S HOSPITAL · PI BROWNSTEIN, JOHN S. · 2010 to 2015
$2.5M
CIHRNHLBI NIH HHS U54 HL119145NIDA NIH HHS P30 DA029926NLM NIH HHS R01 LM010812NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

objectivesTo examine whether a commercial digital health application could support influenza surveillance in China.

methodsWe retrieved data from the Thermia online and mobile educational tool, which allows parents to monitor their children's fever and infectious febrile illnesses including influenza. We modeled monthly aggregated influenza-like illness case counts from Thermia users over time and compared them against influenza monthly case counts obtained from the National Health and Family Planning Commission of the People's Republic of China by using time series regression analysis. We retrieved 44 999 observations from January 2014 through July 2016 from Thermia China.

resultsThermia appeared to predict influenza outbreaks 1 month earlier than the National Health and Family Planning Commission influenza surveillance system (P = .046). Being younger, not having up-to-date immunizations, and having an underlying health condition were associated with participant-reported influenza-like illness.

conclusionsDigital health applications could supplement traditional influenza surveillance systems in China by providing access to consumers' symptom reporting. Growing popularity and use of commercial digital health applications in China potentially affords opportunities to support disease detection and monitoring and rapid treatment mobilization.

Indexed as

SoftwareAdolescentAdultAgedChildChild, PreschoolChinaCommunicable DiseasesDisease OutbreaksEarly DiagnosisHumansInfantInfant, NewbornInfluenza, HumanMiddle AgedPopulation Surveillance

Identifiers

PMID28520492
PMCPMC5463210

What OpenQuestion holds

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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.