Evaluation of a mobile health approach to improve the Early Warning System of influenza surveillance in Cameroon
Background Rapid reporting of surveillance data is essential to better inform national prevention and control strategies. Objectives We compare the newly implemented smartphone‐based system to the former paper‐based and short message service (SMS) for collecting influenza epidemiological data in Cam...
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| Veröffentlicht in: | Influenza and other respiratory viruses 2020-09, Vol.14 (5), p.491-498 |
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| creator | Monamele, Chavely Gwladys Messanga Essengue, Loique Landry Ripa Njankouo, Mohamadou Munshili Njifon, Hermann Landry Tchatchueng, Jules Tejiokem, Mathurin Cyrille Njouom, Richard |
| description | Background
Rapid reporting of surveillance data is essential to better inform national prevention and control strategies.
Objectives
We compare the newly implemented smartphone‐based system to the former paper‐based and short message service (SMS) for collecting influenza epidemiological data in Cameroon.
Methods
Of the 13 sites which collect data from persons with influenza‐like illness (ILI), six sites send data through the EWS, while seven sites make use of the paper‐based system and SMS. We used four criteria for the comparison of the data collection tools: completeness, timeliness, conformity and cost.
Results
Regarding the different collection tools, data sent by the EWS were significantly more complete (97.6% vs 81.6% vs 44.8%), prompt (74.4% vs n/a vs 60.7%) and of better quality (93.7% vs 76.1% vs 84.0%) than data sent by the paper‐based system and SMS, respectively. The average cost of sending a datum by a sentinel site per week was higher for the forms (5.0 USD) than for the EWS (0.9 USD) and SMS (0.1 USD). The number of outpatient visits and subsequently all surveillance data decreased across the years 2017‐2019 together with the influenza positivity rate from 30.7% to 28.3%. Contrarily, the proportion of influenza‐associated ILI to outpatient load was highest in the year 2019 (0.37 per 100 persons vs 0.28 and 0.26 in the other 2 years).
Conclusion
All sentinel sites and even other disease surveillance systems are expected to use this tool in the near term future due to its satisfactory performance and cost. |
| doi_str_mv | 10.1111/irv.12747 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7431645</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A711788599</galeid><sourcerecordid>A711788599</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5387-86c43fa15386f0ca9b13a5f0050d1b5c05baa6718a7a7377386bf5a342bf24443</originalsourceid><addsrcrecordid>eNp9kktv1DAQxyMEoqVw4AsgS1zKYbd2bMfJBalaLVCpEhLPozXxOhtXiR3sJGj59MyyZaEI8Bz8-s3fnkeWPWV0yXBcuDgvWa6EupedMiXpIi9kdf-4FvQke5TSDaWyKKV4mJ3wXDDKS3GaDesZuglGFzwJDQHSh9p1lrQWurElMAwxgGnJGIjrcT1bMraWrCF2O_IZond-S97v0mj7vb_zTTdZ_w1ImuJsXdeBNxaPyQp6G0Pwj7MHDXTJPrmdz7KPr9YfVm8W129fX60urxdG8lItysII3gDDTdFQA1XNOMgGQ6AbVktDZQ1QKFaCAsWVQqxuJHCR100uhOBn2cuD7jDVvd0Y68cInR6i6yHudACn79541-ptmLUSnBVCosD5rUAMXyabRt27ZOw-IhumpHNB0TjjJaLP_0BvwhQ9hodUIaqKFgX_P8VFwbEi9Be1hc5qzGfA35n90_pSMabKUlYVUsu_UGgb2zsTvG2wiHcdXhwcTAwpRdscM8Go3jeRxibSP5oI2We_p-5I_uwaBC4OwFd8ZfdvJX317tNB8jvNRc-U</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2434630380</pqid></control><display><type>article</type><title>Evaluation of a mobile health approach to improve the Early Warning System of influenza surveillance in Cameroon</title><source>DOAJ Directory of Open Access Journals</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Wiley Online Library Open Access</source><source>PubMed Central</source><creator>Monamele, Chavely Gwladys ; Messanga Essengue, Loique Landry ; Ripa Njankouo, Mohamadou ; Munshili Njifon, Hermann Landry ; Tchatchueng, Jules ; Tejiokem, Mathurin Cyrille ; Njouom, Richard</creator><creatorcontrib>Monamele, Chavely Gwladys ; Messanga Essengue, Loique Landry ; Ripa Njankouo, Mohamadou ; Munshili Njifon, Hermann Landry ; Tchatchueng, Jules ; Tejiokem, Mathurin Cyrille ; Njouom, Richard</creatorcontrib><description>Background
Rapid reporting of surveillance data is essential to better inform national prevention and control strategies.
Objectives
We compare the newly implemented smartphone‐based system to the former paper‐based and short message service (SMS) for collecting influenza epidemiological data in Cameroon.
Methods
Of the 13 sites which collect data from persons with influenza‐like illness (ILI), six sites send data through the EWS, while seven sites make use of the paper‐based system and SMS. We used four criteria for the comparison of the data collection tools: completeness, timeliness, conformity and cost.
Results
Regarding the different collection tools, data sent by the EWS were significantly more complete (97.6% vs 81.6% vs 44.8%), prompt (74.4% vs n/a vs 60.7%) and of better quality (93.7% vs 76.1% vs 84.0%) than data sent by the paper‐based system and SMS, respectively. The average cost of sending a datum by a sentinel site per week was higher for the forms (5.0 USD) than for the EWS (0.9 USD) and SMS (0.1 USD). The number of outpatient visits and subsequently all surveillance data decreased across the years 2017‐2019 together with the influenza positivity rate from 30.7% to 28.3%. Contrarily, the proportion of influenza‐associated ILI to outpatient load was highest in the year 2019 (0.37 per 100 persons vs 0.28 and 0.26 in the other 2 years).
Conclusion
All sentinel sites and even other disease surveillance systems are expected to use this tool in the near term future due to its satisfactory performance and cost.</description><identifier>ISSN: 1750-2640</identifier><identifier>EISSN: 1750-2659</identifier><identifier>DOI: 10.1111/irv.12747</identifier><identifier>PMID: 32410384</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Age groups ; Cameroon ; Comparative analysis ; Conformity ; Data collection ; Data entry ; Early Warning System ; Early warning systems ; Emergency communications systems ; Epidemiology ; Illnesses ; Influenza ; Internet ; Original ; Pandemics ; paper‐based system ; Respiratory diseases ; Short message service ; Smart phones ; Smartphones ; Surveillance systems ; Text messaging ; Viruses</subject><ispartof>Influenza and other respiratory viruses, 2020-09, Vol.14 (5), p.491-498</ispartof><rights>2020 The Authors. Published by John Wiley & Sons Ltd.</rights><rights>2020 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.</rights><rights>COPYRIGHT 2020 John Wiley & Sons, Inc.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5387-86c43fa15386f0ca9b13a5f0050d1b5c05baa6718a7a7377386bf5a342bf24443</citedby><cites>FETCH-LOGICAL-c5387-86c43fa15386f0ca9b13a5f0050d1b5c05baa6718a7a7377386bf5a342bf24443</cites><orcidid>0000-0003-3112-6370</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431645/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431645/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11542,27903,27904,45553,45554,46031,46455,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32410384$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Monamele, Chavely Gwladys</creatorcontrib><creatorcontrib>Messanga Essengue, Loique Landry</creatorcontrib><creatorcontrib>Ripa Njankouo, Mohamadou</creatorcontrib><creatorcontrib>Munshili Njifon, Hermann Landry</creatorcontrib><creatorcontrib>Tchatchueng, Jules</creatorcontrib><creatorcontrib>Tejiokem, Mathurin Cyrille</creatorcontrib><creatorcontrib>Njouom, Richard</creatorcontrib><title>Evaluation of a mobile health approach to improve the Early Warning System of influenza surveillance in Cameroon</title><title>Influenza and other respiratory viruses</title><addtitle>Influenza Other Respir Viruses</addtitle><description>Background
Rapid reporting of surveillance data is essential to better inform national prevention and control strategies.
Objectives
We compare the newly implemented smartphone‐based system to the former paper‐based and short message service (SMS) for collecting influenza epidemiological data in Cameroon.
Methods
Of the 13 sites which collect data from persons with influenza‐like illness (ILI), six sites send data through the EWS, while seven sites make use of the paper‐based system and SMS. We used four criteria for the comparison of the data collection tools: completeness, timeliness, conformity and cost.
Results
Regarding the different collection tools, data sent by the EWS were significantly more complete (97.6% vs 81.6% vs 44.8%), prompt (74.4% vs n/a vs 60.7%) and of better quality (93.7% vs 76.1% vs 84.0%) than data sent by the paper‐based system and SMS, respectively. The average cost of sending a datum by a sentinel site per week was higher for the forms (5.0 USD) than for the EWS (0.9 USD) and SMS (0.1 USD). The number of outpatient visits and subsequently all surveillance data decreased across the years 2017‐2019 together with the influenza positivity rate from 30.7% to 28.3%. Contrarily, the proportion of influenza‐associated ILI to outpatient load was highest in the year 2019 (0.37 per 100 persons vs 0.28 and 0.26 in the other 2 years).
Conclusion
All sentinel sites and even other disease surveillance systems are expected to use this tool in the near term future due to its satisfactory performance and cost.</description><subject>Age groups</subject><subject>Cameroon</subject><subject>Comparative analysis</subject><subject>Conformity</subject><subject>Data collection</subject><subject>Data entry</subject><subject>Early Warning System</subject><subject>Early warning systems</subject><subject>Emergency communications systems</subject><subject>Epidemiology</subject><subject>Illnesses</subject><subject>Influenza</subject><subject>Internet</subject><subject>Original</subject><subject>Pandemics</subject><subject>paper‐based system</subject><subject>Respiratory diseases</subject><subject>Short message service</subject><subject>Smart phones</subject><subject>Smartphones</subject><subject>Surveillance systems</subject><subject>Text messaging</subject><subject>Viruses</subject><issn>1750-2640</issn><issn>1750-2659</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kktv1DAQxyMEoqVw4AsgS1zKYbd2bMfJBalaLVCpEhLPozXxOhtXiR3sJGj59MyyZaEI8Bz8-s3fnkeWPWV0yXBcuDgvWa6EupedMiXpIi9kdf-4FvQke5TSDaWyKKV4mJ3wXDDKS3GaDesZuglGFzwJDQHSh9p1lrQWurElMAwxgGnJGIjrcT1bMraWrCF2O_IZond-S97v0mj7vb_zTTdZ_w1ImuJsXdeBNxaPyQp6G0Pwj7MHDXTJPrmdz7KPr9YfVm8W129fX60urxdG8lItysII3gDDTdFQA1XNOMgGQ6AbVktDZQ1QKFaCAsWVQqxuJHCR100uhOBn2cuD7jDVvd0Y68cInR6i6yHudACn79541-ptmLUSnBVCosD5rUAMXyabRt27ZOw-IhumpHNB0TjjJaLP_0BvwhQ9hodUIaqKFgX_P8VFwbEi9Be1hc5qzGfA35n90_pSMabKUlYVUsu_UGgb2zsTvG2wiHcdXhwcTAwpRdscM8Go3jeRxibSP5oI2We_p-5I_uwaBC4OwFd8ZfdvJX317tNB8jvNRc-U</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Monamele, Chavely Gwladys</creator><creator>Messanga Essengue, Loique Landry</creator><creator>Ripa Njankouo, Mohamadou</creator><creator>Munshili Njifon, Hermann Landry</creator><creator>Tchatchueng, Jules</creator><creator>Tejiokem, Mathurin Cyrille</creator><creator>Njouom, Richard</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3112-6370</orcidid></search><sort><creationdate>202009</creationdate><title>Evaluation of a mobile health approach to improve the Early Warning System of influenza surveillance in Cameroon</title><author>Monamele, Chavely Gwladys ; Messanga Essengue, Loique Landry ; Ripa Njankouo, Mohamadou ; Munshili Njifon, Hermann Landry ; Tchatchueng, Jules ; Tejiokem, Mathurin Cyrille ; Njouom, Richard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5387-86c43fa15386f0ca9b13a5f0050d1b5c05baa6718a7a7377386bf5a342bf24443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age groups</topic><topic>Cameroon</topic><topic>Comparative analysis</topic><topic>Conformity</topic><topic>Data collection</topic><topic>Data entry</topic><topic>Early Warning System</topic><topic>Early warning systems</topic><topic>Emergency communications systems</topic><topic>Epidemiology</topic><topic>Illnesses</topic><topic>Influenza</topic><topic>Internet</topic><topic>Original</topic><topic>Pandemics</topic><topic>paper‐based system</topic><topic>Respiratory diseases</topic><topic>Short message service</topic><topic>Smart phones</topic><topic>Smartphones</topic><topic>Surveillance systems</topic><topic>Text messaging</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Monamele, Chavely Gwladys</creatorcontrib><creatorcontrib>Messanga Essengue, Loique Landry</creatorcontrib><creatorcontrib>Ripa Njankouo, Mohamadou</creatorcontrib><creatorcontrib>Munshili Njifon, Hermann Landry</creatorcontrib><creatorcontrib>Tchatchueng, Jules</creatorcontrib><creatorcontrib>Tejiokem, Mathurin Cyrille</creatorcontrib><creatorcontrib>Njouom, Richard</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Free Content</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Influenza and other respiratory viruses</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Monamele, Chavely Gwladys</au><au>Messanga Essengue, Loique Landry</au><au>Ripa Njankouo, Mohamadou</au><au>Munshili Njifon, Hermann Landry</au><au>Tchatchueng, Jules</au><au>Tejiokem, Mathurin Cyrille</au><au>Njouom, Richard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of a mobile health approach to improve the Early Warning System of influenza surveillance in Cameroon</atitle><jtitle>Influenza and other respiratory viruses</jtitle><addtitle>Influenza Other Respir Viruses</addtitle><date>2020-09</date><risdate>2020</risdate><volume>14</volume><issue>5</issue><spage>491</spage><epage>498</epage><pages>491-498</pages><issn>1750-2640</issn><eissn>1750-2659</eissn><abstract>Background
Rapid reporting of surveillance data is essential to better inform national prevention and control strategies.
Objectives
We compare the newly implemented smartphone‐based system to the former paper‐based and short message service (SMS) for collecting influenza epidemiological data in Cameroon.
Methods
Of the 13 sites which collect data from persons with influenza‐like illness (ILI), six sites send data through the EWS, while seven sites make use of the paper‐based system and SMS. We used four criteria for the comparison of the data collection tools: completeness, timeliness, conformity and cost.
Results
Regarding the different collection tools, data sent by the EWS were significantly more complete (97.6% vs 81.6% vs 44.8%), prompt (74.4% vs n/a vs 60.7%) and of better quality (93.7% vs 76.1% vs 84.0%) than data sent by the paper‐based system and SMS, respectively. The average cost of sending a datum by a sentinel site per week was higher for the forms (5.0 USD) than for the EWS (0.9 USD) and SMS (0.1 USD). The number of outpatient visits and subsequently all surveillance data decreased across the years 2017‐2019 together with the influenza positivity rate from 30.7% to 28.3%. Contrarily, the proportion of influenza‐associated ILI to outpatient load was highest in the year 2019 (0.37 per 100 persons vs 0.28 and 0.26 in the other 2 years).
Conclusion
All sentinel sites and even other disease surveillance systems are expected to use this tool in the near term future due to its satisfactory performance and cost.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>32410384</pmid><doi>10.1111/irv.12747</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3112-6370</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Influenza and other respiratory viruses, 2020-09, Vol.14 (5), p.491-498 |
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| language | eng |
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| source | DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley Online Library Open Access; PubMed Central |
| subjects | Age groups Cameroon Comparative analysis Conformity Data collection Data entry Early Warning System Early warning systems Emergency communications systems Epidemiology Illnesses Influenza Internet Original Pandemics paper‐based system Respiratory diseases Short message service Smart phones Smartphones Surveillance systems Text messaging Viruses |
| title | Evaluation of a mobile health approach to improve the Early Warning System of influenza surveillance in Cameroon |
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