Enhancing Decision Support for Vector-Borne Disease Control Programs--The Disease Data Management System

  The implementation in Zambia, although a good example of how the DDMS can impact decision making, has not been without its challenges. Since November 2014, the DDMS has not been used, primarily because of a loss of momentum as the responsibility of maintaining the system shifted between malaria co...

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Bibliographic Details
Published in:PLoS neglected tropical diseases 2016-02, Vol.10 (2), p.e0004342-e0004342
Main Authors: Thomsen, Edward K, Deb, Rinki M, Dunkley, Sophie, Coleman, Marlize, Foster, Geraldine, Orlans, Miguel, Coleman, Michael
Format: Article
Language:English
Subjects:
Analysis
Animals
Biology and Life Sciences
Communicable Disease Control - methods
Communicable Diseases - diagnosis
Communicable Diseases - therapy
Computer and Information Sciences
Control
Corporate culture
Data collection
Decision making
Decision support systems
Decision Support Techniques
Disease control
Disease Transmission, Infectious - prevention & control
Disease Vectors
Epidemiologic Methods
From Innovation to Application
Funding
Humans
Information management
Information systems
Insecticides
Medical care
Medicine and Health Sciences
People and Places
Software
Tropical diseases
User feedback
User surveys
Vector-borne diseases
Vectors (Biology)
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Description
Summary:  The implementation in Zambia, although a good example of how the DDMS can impact decision making, has not been without its challenges. Since November 2014, the DDMS has not been used, primarily because of a loss of momentum as the responsibility of maintaining the system shifted between malaria control partners. [...]because of standardized data formats, the DDMS can facilitate cross-border collaboration and collective decision making. [...]the DDMS uses open-source technology that can integrate with other widely-used HIS, such as District Health Information Software 2 (DHIS2).
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0004342