Evidence map›Paper›PMID 32410384›Full record

ArticleInfluenza and other respiratory viruses2020

Evaluation of a mobile health approach to improve the Early Warning System of influenza surveillance in Cameroon.

Chavely Gwladys Monamele, Loique Landry Messanga Essengue, Mohamadou Ripa Njankouo, Hermann Landry Munshili Njifon, Jules Tchatchueng, Mathurin Cyrille Tejiokem, Richard Njouom

Open access · goldAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Influenza and other respiratory viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

7 authors at 1 institution in 1 country.

Chavely Gwladys MonameleLaboratory of Virology, Centre Pasteur of Cameroon, Yaoundé, Cameroon.
Loique Landry Messanga EssengueLaboratory of Epidemiology, Centre Pasteur of Cameroon, Yaoundé, Cameroon.
Mohamadou Ripa NjankouoLaboratory of Virology, Centre Pasteur of Cameroon, Yaoundé, Cameroon.
Hermann Landry Munshili NjifonCentre Pasteur of Cameroon, Annex of Garoua, Garoua, Cameroon.
Jules TchatchuengLaboratory of Epidemiology, Centre Pasteur of Cameroon, Yaoundé, Cameroon.
Mathurin Cyrille TejiokemLaboratory of Epidemiology, Centre Pasteur of Cameroon, Yaoundé, Cameroon.
Richard NjouomLaboratory of Virology, Centre Pasteur of Cameroon, Yaoundé, Cameroon.ORCID 0000-0003-3112-6370
Centre Pasteur du Cameroun · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid reporting of surveillance data is essential to better inform national prevention and control strategies.

objectivesWe compare the newly implemented smartphone-based system to the former paper-based and short message service (SMS) for collecting influenza epidemiological data in Cameroon.

methodsOf 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.

resultsRegarding 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).

conclusionAll 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.

Indexed as

Sentinel SurveillanceAdolescentAdultCameroonChildChild, PreschoolHumansInfantInfluenza, HumanMiddle AgedSmartphoneTelemedicineYoung AdultCameroondata collectionEarly Warning Systeminfluenzapaper-based systemshort message service

Identifiers

PMID32410384
PMCPMC7431645
OpenAlexW3025483264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.