A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study.
Identifieur interne : 000290 ( PubMed/Curation ); précédent : 000289; suivant : 000291A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study.
Auteurs : Kazutoshi Fujibayashi [Japon] ; Hiromizu Takahashi [Japon] ; Mika Tanei [Japon] ; Yuki Uehara [Japon] ; Hirohide Yokokawa [Japon] ; Toshio Naito [Japon]Source :
- JMIR mHealth and uHealth [ 2291-5222 ] ; 2018.
Abstract
Influenza infections can spread rapidly, and influenza outbreaks are a major public health concern worldwide. Early detection of signs of an influenza pandemic is important to prevent global outbreaks. Development of information and communications technologies for influenza surveillance, including participatory surveillance systems involving lay users, has recently increased. Many of these systems can estimate influenza activity faster than the conventional influenza surveillance systems. Unfortunately, few of these influenza-tracking systems are available in Japan.
DOI: 10.2196/mhealth.9834
PubMed: 29875082
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000290
Links to Exploration step
pubmed:29875082Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study.</title><author><name sortKey="Fujibayashi, Kazutoshi" sort="Fujibayashi, Kazutoshi" uniqKey="Fujibayashi K" first="Kazutoshi" last="Fujibayashi">Kazutoshi Fujibayashi</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Takahashi, Hiromizu" sort="Takahashi, Hiromizu" uniqKey="Takahashi H" first="Hiromizu" last="Takahashi">Hiromizu Takahashi</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Tanei, Mika" sort="Tanei, Mika" uniqKey="Tanei M" first="Mika" last="Tanei">Mika Tanei</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Uehara, Yuki" sort="Uehara, Yuki" uniqKey="Uehara Y" first="Yuki" last="Uehara">Yuki Uehara</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Yokokawa, Hirohide" sort="Yokokawa, Hirohide" uniqKey="Yokokawa H" first="Hirohide" last="Yokokawa">Hirohide Yokokawa</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Naito, Toshio" sort="Naito, Toshio" uniqKey="Naito T" first="Toshio" last="Naito">Toshio Naito</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2018">2018</date><idno type="RBID">pubmed:29875082</idno><idno type="pmid">29875082</idno><idno type="doi">10.2196/mhealth.9834</idno><idno type="wicri:Area/PubMed/Corpus">000290</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000290</idno><idno type="wicri:Area/PubMed/Curation">000290</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000290</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study.</title><author><name sortKey="Fujibayashi, Kazutoshi" sort="Fujibayashi, Kazutoshi" uniqKey="Fujibayashi K" first="Kazutoshi" last="Fujibayashi">Kazutoshi Fujibayashi</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Takahashi, Hiromizu" sort="Takahashi, Hiromizu" uniqKey="Takahashi H" first="Hiromizu" last="Takahashi">Hiromizu Takahashi</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Tanei, Mika" sort="Tanei, Mika" uniqKey="Tanei M" first="Mika" last="Tanei">Mika Tanei</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Uehara, Yuki" sort="Uehara, Yuki" uniqKey="Uehara Y" first="Yuki" last="Uehara">Yuki Uehara</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Yokokawa, Hirohide" sort="Yokokawa, Hirohide" uniqKey="Yokokawa H" first="Hirohide" last="Yokokawa">Hirohide Yokokawa</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Naito, Toshio" sort="Naito, Toshio" uniqKey="Naito T" first="Toshio" last="Naito">Toshio Naito</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of General Medicine, School of Medicine, Juntendo University, Tokyo</wicri:regionArea></affiliation></author></analytic><series><title level="j">JMIR mHealth and uHealth</title><idno type="ISSN">2291-5222</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Influenza infections can spread rapidly, and influenza outbreaks are a major public health concern worldwide. Early detection of signs of an influenza pandemic is important to prevent global outbreaks. Development of information and communications technologies for influenza surveillance, including participatory surveillance systems involving lay users, has recently increased. Many of these systems can estimate influenza activity faster than the conventional influenza surveillance systems. Unfortunately, few of these influenza-tracking systems are available in Japan.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">29875082</PMID><DateRevised><Year>2019</Year><Month>11</Month><Day>20</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Print">2291-5222</ISSN><JournalIssue CitedMedium="Print"><Volume>6</Volume><Issue>6</Issue><PubDate><Year>2018</Year><Month>Jun</Month><Day>06</Day></PubDate></JournalIssue><Title>JMIR mHealth and uHealth</Title><ISOAbbreviation>JMIR Mhealth Uhealth</ISOAbbreviation></Journal><ArticleTitle>A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study.</ArticleTitle><Pagination><MedlinePgn>e136</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2196/mhealth.9834</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Influenza infections can spread rapidly, and influenza outbreaks are a major public health concern worldwide. Early detection of signs of an influenza pandemic is important to prevent global outbreaks. Development of information and communications technologies for influenza surveillance, including participatory surveillance systems involving lay users, has recently increased. Many of these systems can estimate influenza activity faster than the conventional influenza surveillance systems. Unfortunately, few of these influenza-tracking systems are available in Japan.</AbstractText><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">This study aimed to evaluate the flu-tracking ability of Flu-Report, a new influenza-tracking mobile phone app that uses a self-administered questionnaire for the early detection of influenza activity.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Flu-Report was used to collect influenza-related information (ie, dates on which influenza infections were diagnosed) from November 2016 to March 2017. Participants were adult volunteers from throughout Japan, who also provided information about their cohabiting family members. The utility of Flu-Report was evaluated by comparison with the conventional influenza surveillance information and basic information from an existing large-scale influenza-tracking system (an automatic surveillance system based on electronic records of prescription drug purchases).</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Information was obtained through Flu-Report for approximately 10,094 volunteers. In total, 2134 participants were aged <20 years, 6958 were aged 20-59 years, and 1002 were aged ≥60 years. Between November 2016 and March 2017, 347 participants reported they had influenza or an influenza-like illness in the 2016 season. Flu-Report-derived influenza infection time series data displayed a good correlation with basic information obtained from the existing influenza surveillance system (rho, ρ=.65, P=.001). However, the influenza morbidity ratio for our participants was approximately 25% of the mean influenza morbidity ratio for the Japanese population. The Flu-Report influenza morbidity ratio was 5.06% (108/2134) among those aged <20 years, 3.16% (220/6958) among those aged 20-59 years, and 0.59% (6/1002) among those aged ≥60 years. In contrast, influenza morbidity ratios for Japanese individuals aged <20 years, 20-59 years, and ≥60 years were recently estimated at 31.97% to 37.90%, 8.16% to 9.07%, and 2.71% to 4.39%, respectively.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Flu-Report supports easy access to near real-time information about influenza activity via the accumulation of self-administered questionnaires. However, Flu-Report users may be influenced by selection bias, which is a common issue associated with surveillance using information and communications technologies. Despite this, Flu-Report has the potential to provide basic data that could help detect influenza outbreaks.</AbstractText><CopyrightInformation>©Kazutoshi Fujibayashi, Hiromizu Takahashi, Mika Tanei, Yuki Uehara, Hirohide Yokokawa, Toshio Naito. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 06.06.2018.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Fujibayashi</LastName><ForeName>Kazutoshi</ForeName><Initials>K</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-6580-5139</Identifier><AffiliationInfo><Affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Takahashi</LastName><ForeName>Hiromizu</ForeName><Initials>H</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-5055-7937</Identifier><AffiliationInfo><Affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Tanei</LastName><ForeName>Mika</ForeName><Initials>M</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-6009-1344</Identifier><AffiliationInfo><Affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Uehara</LastName><ForeName>Yuki</ForeName><Initials>Y</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-1014-8888</Identifier><AffiliationInfo><Affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yokokawa</LastName><ForeName>Hirohide</ForeName><Initials>H</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-9464-9828</Identifier><AffiliationInfo><Affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Naito</LastName><ForeName>Toshio</ForeName><Initials>T</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-1646-9930</Identifier><AffiliationInfo><Affiliation>Department of General Medicine, School of Medicine, Juntendo University, Tokyo, Japan.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>06</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>Canada</Country><MedlineTA>JMIR Mhealth Uhealth</MedlineTA><NlmUniqueID>101624439</NlmUniqueID><ISSNLinking>2291-5222</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">epidemiology</Keyword><Keyword MajorTopicYN="N">influenza</Keyword><Keyword MajorTopicYN="N">internet</Keyword><Keyword MajorTopicYN="N">pandemics</Keyword><Keyword MajorTopicYN="N">participatory epidemiology</Keyword><Keyword MajorTopicYN="N">participatory surveillance</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>01</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>04</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>04</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>6</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>6</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>6</Month><Day>8</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29875082</ArticleId><ArticleId IdType="pii">v6i6e136</ArticleId><ArticleId IdType="doi">10.2196/mhealth.9834</ArticleId><ArticleId IdType="pmc">PMC6010834</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>BMC Med Inform Decis Mak. 2014 Dec 24;14:107</Citation><ArticleIdList><ArticleId IdType="pubmed">25539745</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Public Health. 2006 Oct 04;6:242</Citation><ArticleIdList><ArticleId IdType="pubmed">17018161</ArticleId></ArticleIdList></Reference><Reference><Citation>Sci Rep. 2015 Jan 29;5:8154</Citation><ArticleIdList><ArticleId IdType="pubmed">25634021</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS Comput Biol. 2015 Oct 29;11(10):e1004513</Citation><ArticleIdList><ArticleId IdType="pubmed">26513245</ArticleId></ArticleIdList></Reference><Reference><Citation>Nature. 2009 Feb 19;457(7232):1012-4</Citation><ArticleIdList><ArticleId IdType="pubmed">19020500</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Public Health. 2015 Oct;105(10):2124-30</Citation><ArticleIdList><ArticleId IdType="pubmed">26270299</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS One. 2015 May 26;10(5):e0127754</Citation><ArticleIdList><ArticleId IdType="pubmed">26011418</ArticleId></ArticleIdList></Reference><Reference><Citation>J Med Internet Res. 2012 Jan 16;14(1):e14</Citation><ArticleIdList><ArticleId IdType="pubmed">22249906</ArticleId></ArticleIdList></Reference><Reference><Citation>J Epidemiol. 2007 Dec;17 Suppl:S3-13</Citation><ArticleIdList><ArticleId IdType="pubmed">18239339</ArticleId></ArticleIdList></Reference><Reference><Citation>Cochrane Database Syst Rev. 2015 Jul 27;(7):MR000042</Citation><ArticleIdList><ArticleId IdType="pubmed">26212714</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS One. 2013 Dec 04;8(12):e82489</Citation><ArticleIdList><ArticleId IdType="pubmed">24324799</ArticleId></ArticleIdList></Reference><Reference><Citation>Nature. 2013 Feb 14;494(7436):155-6</Citation><ArticleIdList><ArticleId IdType="pubmed">23407515</ArticleId></ArticleIdList></Reference><Reference><Citation>JMIR Public Health Surveill. 2017 Nov 01;3(4):e83</Citation><ArticleIdList><ArticleId IdType="pubmed">29092812</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/PubMed/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000290 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 000290 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= PandemieGrippaleV1
|flux= PubMed
|étape= Curation
|type= RBID
|clé= pubmed:29875082
|texte= A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:29875082" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \
| NlmPubMed2Wicri -a PandemieGrippaleV1
| This area was generated with Dilib version V0.6.34. |  |