Evidence map›Paper›PMID 25099881›Full record

ArticleJMIR mHealth and uHealth2014

The schisto track: a system for gathering and monitoring epidemiological surveys by connecting geographical information systems in real time.

Onicio B Leal Neto, Cesar M Albuquerque, Jones O Albuquerque, Constança S Barbosa

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Project and Prototype of Mobile Application for Monitoring the Global COVID-19 Epidemiological Situation.International journal of environmental research and public health · 2022
    Review
  3. Article
  4. Article
  5. Article
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

4 authors.

Onicio B Leal NetoAggeu Magalhaes Research Center, Schistosomiasis Reference Service, Oswaldo Cruz Foundation, Recife, Brazil. onicio@gmail.com.
Cesar M Albuquerque
Jones O Albuquerque
Constança S Barbosa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing the Android platform as a notification instrument for diseases and disorders forms a new alternative for computerization of epidemiological studies.

objectiveThe objective of our study was to construct a tool for gathering epidemiological data on schistosomiasis using the Android platform.

methodsThe developed application (app), named the Schisto Track, is a tool for data capture and analysis that was designed to meet the needs of a traditional epidemiological survey. An initial version of the app was finished and tested in both real situations and simulations for epidemiological surveys.

resultsThe app proved to be a tool capable of automation of activities, with data organization and standardization, easy data recovery (to enable interfacing with other systems), and totally modular architecture.

conclusionsThe proposed Schisto Track is in line with worldwide trends toward use of smartphones with the Android platform for modeling epidemiological scenarios.

Indexed as

epidemiological surveypublic healthschistosomiasis

Identifiers

PMID25099881
PMCPMC4114433

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.