Literature DB >> 15714624

Removing a barrier to computer-based outbreak and disease surveillance--the RODS Open Source Project.

Jeremy U Espino1, M Wagner, C Szczepaniak, F C Tsui, H Su, R Olszewski, Z Liu, W Chapman, X Zeng, L Ma, Z Lu, J Dara.   

Abstract

INTRODUCTION: Computer-based outbreak and disease surveillance requires high-quality software that is well-supported and affordable. Developing software in an open-source framework, which entails free distribution and use of software and continuous, community-based software development, can produce software with such characteristics, and can do so rapidly.
OBJECTIVES: The objective of the Real-Time Outbreak and Disease Surveillance (RODS) Open Source Project is to accelerate the deployment of computer-based outbreak and disease surveillance systems by writing software and catalyzing the formation of a community of users, developers, consultants, and scientists who support its use.
METHODS: The University of Pittsburgh seeded the Open Source Project by releasing the RODS software under the GNU General Public License. An infrastructure was created, consisting of a website, mailing lists for developers and users, designated software developers, and shared code-development tools. These resources are intended to encourage growth of the Open Source Project community. Progress is measured by assessing website usage, number of software downloads, number of inquiries, number of system deployments, and number of new features or modules added to the code base.
RESULTS: During September--November 2003, users generated 5,370 page views of the project website, 59 software downloads, 20 inquiries, one new deployment, and addition of four features.
CONCLUSIONS: Thus far, health departments and companies have been more interested in using the software as is than in customizing or developing new features. The RODS laboratory anticipates that after initial installation has been completed, health departments and companies will begin to customize the software and contribute their enhancements to the public code base.

Mesh:

Year:  2004        PMID: 15714624

Source DB:  PubMed          Journal:  MMWR Suppl        ISSN: 2380-8942


  12 in total

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2.  Anatomy of data integration.

Authors:  Olga Brazhnik; John F Jones
Journal:  J Biomed Inform       Date:  2006-09-24       Impact factor: 6.317

3.  Disease surveillance and nonprescription medication sales can predict increases in poison exposure.

Authors:  Edward Krenzelok; Erma MacPherson; Rita Mrvos
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4.  Evaluating the utility of syndromic surveillance algorithms for screening to detect potentially clonal hospital infection outbreaks.

Authors:  Randy J Carnevale; Thomas R Talbot; William Schaffner; Karen C Bloch; Titus L Daniels; Randolph A Miller
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5.  Healthcare Information Systems to Assess Influenza Outbreaks: An analysis of the 2009 H1N1 Epidemic in Buenos Aires.

Authors:  S Figar; V Aliperti; E Salazar; C Otero; M Schpilberg; V Taliercio; P Otero; F González Bernaldo de Quirós
Journal:  Appl Clin Inform       Date:  2011-02-23       Impact factor: 2.342

6.  An automated, broad-based, near real-time public health surveillance system using presentations to hospital Emergency Departments in New South Wales, Australia.

Authors:  David J Muscatello; Tim Churches; Jill Kaldor; Wei Zheng; Clayton Chiu; Patricia Correll; Louisa Jorm
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7.  Automatic classification of diseases from free-text death certificates for real-time surveillance.

Authors:  Bevan Koopman; Sarvnaz Karimi; Anthony Nguyen; Rhydwyn McGuire; David Muscatello; Madonna Kemp; Donna Truran; Ming Zhang; Sarah Thackway
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8.  Real-time surveillance for respiratory disease outbreaks, Ontario, Canada.

Authors:  Adam van-Dijk; Jeff Aramini; Graham Edge; Kieran M Moore
Journal:  Emerg Infect Dis       Date:  2009-05       Impact factor: 6.883

9.  Probabilistic case detection for disease surveillance using data in electronic medical records.

Authors:  Fuchiang Tsui; Michael Wagner; Gregory Cooper; Jialan Que; Hendrik Harkema; John Dowling; Thomsun Sriburadej; Qi Li; Jeremy U Espino; Ronald Voorhees
Journal:  Online J Public Health Inform       Date:  2011-12-22

10.  Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan.

Authors:  Tsung-Shu Joseph Wu; Fuh-Yuan Frank Shih; Muh-Yong Yen; Jiunn-Shyan Julian Wu; Shiou-Wen Lu; Kevin Chi-Ming Chang; Chao Hsiung; Jr-How Chou; Yu-Tseng Chu; Hang Chang; Chan-Hsien Chiu; Fu-Chiang Richard Tsui; Michael M Wagner; Ih-Jen Su; Chwan-Chuen King
Journal:  BMC Public Health       Date:  2008-01-18       Impact factor: 3.295

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