Cargando…

Android and ODK based data collection framework to aid in epidemiological analysis

Periodic collection of field data, analysis and interpretation of data are key to a good healthcare service. This data is used by the subsequent decision makers to recognize preventive measures, provide timely support to the affected and to help measure the effects of their interventions. While the...

Descripción completa

Detalles Bibliográficos
Autores principales: Raja, A., Tridane, A., Gaffar, A., Lindquist, T., Pribadi, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959915/
https://www.ncbi.nlm.nih.gov/pubmed/24678381
http://dx.doi.org/10.5210/ojphi.v5i3.4996
_version_ 1782308092580462592
author Raja, A.
Tridane, A.
Gaffar, A.
Lindquist, T.
Pribadi, K.
author_facet Raja, A.
Tridane, A.
Gaffar, A.
Lindquist, T.
Pribadi, K.
author_sort Raja, A.
collection PubMed
description Periodic collection of field data, analysis and interpretation of data are key to a good healthcare service. This data is used by the subsequent decision makers to recognize preventive measures, provide timely support to the affected and to help measure the effects of their interventions. While the resources required for good disease surveillance and proactive healthcare are available more readily in developed countries, the lack of these in developing countries may compromise the quality of service provided. This combined with the critical nature of some diseases makes this an essential issue to be addressed. Taking advantage of the rapid growth of cell phone usage and related infrastructure in developed as well as developing countries, several systems have been established to address the gaps in data collection. Android, being an open sourced platform, has gained considerable popularity in this aspect. Open data kit is one such tool developed to aid in data collection. The aim of this paper is to present a prototype framework built using few such existing tools and technologies to address data collection for seasonal influenza, commonly referred to as the flu.
format Online
Article
Text
id pubmed-3959915
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher University of Illinois at Chicago Library
record_format MEDLINE/PubMed
spelling pubmed-39599152014-03-27 Android and ODK based data collection framework to aid in epidemiological analysis Raja, A. Tridane, A. Gaffar, A. Lindquist, T. Pribadi, K. Online J Public Health Inform Research Article Periodic collection of field data, analysis and interpretation of data are key to a good healthcare service. This data is used by the subsequent decision makers to recognize preventive measures, provide timely support to the affected and to help measure the effects of their interventions. While the resources required for good disease surveillance and proactive healthcare are available more readily in developed countries, the lack of these in developing countries may compromise the quality of service provided. This combined with the critical nature of some diseases makes this an essential issue to be addressed. Taking advantage of the rapid growth of cell phone usage and related infrastructure in developed as well as developing countries, several systems have been established to address the gaps in data collection. Android, being an open sourced platform, has gained considerable popularity in this aspect. Open data kit is one such tool developed to aid in data collection. The aim of this paper is to present a prototype framework built using few such existing tools and technologies to address data collection for seasonal influenza, commonly referred to as the flu. University of Illinois at Chicago Library 2014-02-05 /pmc/articles/PMC3959915/ /pubmed/24678381 http://dx.doi.org/10.5210/ojphi.v5i3.4996 Text en This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
spellingShingle Research Article
Raja, A.
Tridane, A.
Gaffar, A.
Lindquist, T.
Pribadi, K.
Android and ODK based data collection framework to aid in epidemiological analysis
title Android and ODK based data collection framework to aid in epidemiological analysis
title_full Android and ODK based data collection framework to aid in epidemiological analysis
title_fullStr Android and ODK based data collection framework to aid in epidemiological analysis
title_full_unstemmed Android and ODK based data collection framework to aid in epidemiological analysis
title_short Android and ODK based data collection framework to aid in epidemiological analysis
title_sort android and odk based data collection framework to aid in epidemiological analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959915/
https://www.ncbi.nlm.nih.gov/pubmed/24678381
http://dx.doi.org/10.5210/ojphi.v5i3.4996
work_keys_str_mv AT rajaa androidandodkbaseddatacollectionframeworktoaidinepidemiologicalanalysis
AT tridanea androidandodkbaseddatacollectionframeworktoaidinepidemiologicalanalysis
AT gaffara androidandodkbaseddatacollectionframeworktoaidinepidemiologicalanalysis
AT lindquistt androidandodkbaseddatacollectionframeworktoaidinepidemiologicalanalysis
AT pribadik androidandodkbaseddatacollectionframeworktoaidinepidemiologicalanalysis