Evidence map›Paper›PMID 30693862›Full record

ArticleThe American journal of tropical medicine and hygiene2019

The Cholera Phone: Diarrheal Disease Surveillance by Mobile Phone in Bangladesh.

Leela Sengupta Carstensen, Charlotte Crim Tamason, Rebeca Sultana, Suhella Mohan Tulsiani, Matthew David Phelps, Emily Suzanne Gurley, Peter Kjær Mackie Jensen

Open access · greenAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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 2 institutions in 3 countries.

Leela Sengupta CarstensenCopenhagen Centre for Disaster Research, University of Copenhagen, Copenhagen, Denmark.
Charlotte Crim TamasonCopenhagen Centre for Disaster Research, University of Copenhagen, Copenhagen, Denmark.
Rebeca SultanaInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
Suhella Mohan TulsianiCopenhagen Centre for Disaster Research, University of Copenhagen, Copenhagen, Denmark.
Matthew David PhelpsCopenhagen Centre for Disaster Research, University of Copenhagen, Copenhagen, Denmark.
Emily Suzanne GurleyJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Peter Kjær Mackie JensenDepartment of Public Health University of Copenhagen, Copenhagen Center for Disaster Research, Section of Global Health, Copenhagen, Denmark.
University of Copenhagen · DKJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing methodologies to record diarrheal disease incidence in households have limitations due to a high-episode recall error outside a 48-hour window. Our objective was to use mobile phones for reporting diarrheal episodes in households to provide real-time incidence data with minimum resource consumption and low recall error. From June 2014 to June 2015, we enrolled 417 low-income households in Dhaka, Bangladesh, and asked them to report diarrheal episodes to a call center. A team of data collectors then visited persons reporting the episode to collect data. In addition, each month, the team conducted in-home surveys on diarrhea incidence for a preceding 48-hour period. The mobile phone surveillance reported an incidence of 0.16 cases per person-year (95% CI: 0.13-0.19), with 117 reported diarrhea cases, and the routine in-home survey detected an incidence of 0.33 cases per person-year (95% CI: 0.18-0.60), the incidence rate ratio was 2.11 (95% CI: 1.08-3.78). During focus group discussions, participants reported a lack in motivation to report diarrhea by phone because of the absence of provision of intervening treatment following reporting. Mobile phone technology can provide a unique tool for real-time disease reporting. The phone surveillance in this study reported a lower incidence of diarrhea than an in-home survey, possibly because of the absence of intervention and, therefore, a perceived lack of incentive to report. However, this study reports the untapped potential of mobile phones in monitoring infectious disease incidence in a low-income setting.

Indexed as

Cell PhoneBangladeshChildCholeraDiarrheaFemaleHumansIncidenceMaleMobile ApplicationsPopulation SurveillancePovertyRisk FactorsUrban Population

Identifiers

PMID30693862
PMCPMC6402911
OpenAlexW2911278938

What OpenQuestion holds

Textmetadata
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.