• Login
  • Help Guide
View Item 
  •   JOOUST IR Home
  • Journal Articles
  • School of Biological, Physical, Mathematics & Actuarial Sciences
  • View Item
  •   JOOUST IR Home
  • Journal Articles
  • School of Biological, Physical, Mathematics & Actuarial Sciences
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Innovative Tools and OpenHDS for Health and Demographic Surveillance on Rusinga Island, Kenya

Thumbnail
View/Open
Homan_ Innovative Tools and OpenHDS for Health and Demographic Surveillance on Rusinga Island, Kenya.pdf (1.291Mb)
Publication Date
2015-09-01
Author
Homan, Tobias
Di Pasquale, Aurelio
Kiche, Ibrahim
Onoka, Kelvin
Hiscox, Alexandra
Mweresa, Collins
Mukabana, Wolfgang R.
Takken, Willem
Maire, Nicolas
Type
Article
Metadata
Show full item record
Citation

Homan, T., Di Pasquale, A., Kiche, I. et al. Innovative tools and OpenHDS for health and demographic surveillance on Rusinga Island, Kenya. BMC Res Notes 8, 397 (2015). https://doi.org/10.1186/s13104-015-1373-8

Abstract/Overview

Health in low and middle income countries is on one hand characterized by a high burden associated with preventable communicable diseases and on the other hand considered to be under-documented due to improper basic health and demographic record-keeping. health and demographic surveillance systems (HDSSs) have provided researchers, policy makers and governments with data about local population dynamics and health related information. In order for an HDSS to deliver high quality data, effective organization of data collection and management are vital. HDSSs impose a challenging logistical process typically characterized by door to door visits, poor navigational guidance, conducting interviews recorded on paper, error prone data entry, an extensive staff and marginal data quality management possibilities. A large trial investigating the effect of odour-baited mosquito traps on malaria vector populations and malaria transmission on Rusinga Island, western Kenya, has deployed an HDSS. By means of computer tablets in combination with Open Data Kit and OpenHDS data collection and management software experiences with time efficiency, cost effectiveness and high data quality are illustrate. Step by step, a complete organization of the data management infrastructure is described, ranging from routine work in the field to the organization of the centralized data server. Adopting innovative technological advancements has enabled the collection of demographic and malaria data quickly and effectively, with minimal margin for errors. Real-time data quality controls integrated within the system can lead to financial savings and a time efficient work flow. This novel method of HDSS implementation demonstrates the feasibility of integrating electronic tools in large-scale health interventions.

Subject/Keywords
Health and demographic surveillance system; Mobile data collection; Data management platform; Malaria; Kenya
Publisher
BMC
ISSN
1756-0500
Permalink
http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/10503
Collections
  • School of Biological, Physical, Mathematics & Actuarial Sciences [254]

Browse

All of JOOUST IRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

Contact Us

Copyright © 2023-4 Jaramogi Oginga Odinga University of Science and Technology (JOOUST)
P.O. Box 210 - 40601
Bondo – Kenya

Useful Links

  • Report a problem with the content
  • Accessibility Policy
  • Deaccession/Takedown Policy

TwitterFacebookYouTubeInstagram

  • University Policies
  • Access to Information
  • JOOUST Quality Statement