Evidence map›Paper›PMID 35142628›Full record

ArticleJMIR formative research2022

An Association of Influenza Epidemics in Children With Mobile App Data: Population-Based Observational Study in Osaka, Japan.

Yusuke Katayama, Kosuke Kiyohara, Tomoya Hirose, Kenichiro Ishida, Jotaro Tachino, Shunichiro Nakao, Tomohiro Noda, Masahiro Ojima, Takeyuki Kiguchi, Tasuku Matsuyama and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 6 institutions in 1 country.

Yusuke KatayamaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0003-2585-4259
Kosuke KiyoharaDepartment of Food Science, Faculty of Home Economics, Otsuma Women's University, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0644-6129
Tomoya HiroseDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0001-5959-4569
Kenichiro IshidaDepartment of Acute Medicine and Critical Care Center, Osaka National Hospital, National Hospital Organization, Osaka, Japan.ORCID https://orcid.org/0000-0002-1585-6069
Jotaro TachinoDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-0423-7713
Shunichiro NakaoDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0001-5530-806X
Tomohiro NodaDepartment of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-9288-9625
Masahiro OjimaDepartment of Acute Medicine and Critical Care Center, Osaka National Hospital, National Hospital Organization, Osaka, Japan.ORCID https://orcid.org/0000-0001-7490-1539
Takeyuki KiguchiDivision of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan.ORCID https://orcid.org/0000-0003-0259-9531
Tasuku MatsuyamaDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0003-4068-0306
Tetsuhisa KitamuraDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0003-0107-0580
The University of Osaka · JPOsaka National Hospital · JPKyoto Prefectural University of Medicine · JPOsaka City University · JPOsaka Prefectural Medical Center · JPOtsuma Women's University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly surveillance to prevent the spread of influenza is a major public health concern. If there is an association of influenza epidemics with mobile app data, it may be possible to forecast influenza earlier and more easily.

objectiveWe aimed to assess the relationship between seasonal influenza and the frequency of mobile app use among children in Osaka Prefecture, Japan.

methodsThis was a retrospective observational study that was performed over a three-year period from January 2017 to December 2019. Using a linear regression model, we calculated the R

resultsWe included 29,392 mobile app users. The R

conclusionsIn this study, the number of times that mobile apps were used was positively associated with the number of influenza patients. In particular, there was a good association of the number of influenza patients with the number of "fever" events selected in the mobile app during the influenza epidemic season.

Indexed as

childrenepidemicinfluenzamobile appsyndromic surveillance

Identifiers

PMID35142628
PMCPMC8874815
OpenAlexW4206382523

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.