@article{95839,
  keywords = {Infectious Diseases, Public Health, Environmental and Occupational Health},
  author = {Karki S and Weiss A and Dcruz J and Hunt D and Haigood B and Ouakou PT and Chop E and Zirimwabagabo H and Rubenstein BL and Yerian S and Roy SL and Kamb ML and Guagliardo SAJ},
  editor = {Bentwich Z},
  title = {Assessment of the Chad guinea worm surveillance information system: A pivotal foundation for eradication},
  abstract = {<jats:sec id="sec001">
<jats:title>Background</jats:title>
<jats:p>In the absence of a vaccine or pharmacological treatment, prevention and control of Guinea worm disease is dependent on timely identification and containment of cases to interrupt transmission. The Chad Guinea Worm Eradication Program (CGWEP) surveillance system detects and monitors Guinea worm disease in both humans and animals. Although Guinea worm cases in humans has declined, the discovery of canine infections in dogs in Chad has posed a significant challenge to eradication efforts. A foundational information system that supports the surveillance activities with modern data management practices is needed to support continued program efficacy.</jats:p>
</jats:sec>
<jats:sec id="sec002">
<jats:title>Methods</jats:title>
<jats:p>We sought to assess the current CGWEP surveillance and information system to identify gaps and redundancies and propose system improvements. We reviewed documentation, consulted with subject matter experts and stakeholders, inventoried datasets to map data elements and information flow, and mapped data management processes. We used the Information Value Cycle (IVC) and Data-Information System-Context (DISC) frameworks to help understand the information generated and identify gaps.</jats:p>
</jats:sec>
<jats:sec id="sec003">
<jats:title>Results</jats:title>
<jats:p>Findings from this study identified areas for improvement, including the need for consolidation of forms that capture the same demographic variables, which could be accomplished with an electronic data capture system. Further, the mental models (conceptual frameworks) IVC and DISC highlighted the need for more detailed, standardized workflows specifically related to information management.</jats:p>
</jats:sec>
<jats:sec id="sec004">
<jats:title>Conclusions</jats:title>
<jats:p>Based on these findings, we proposed a four-phased roadmap for centralizing data systems and transitioning to an electronic data capture system. These included: development of a data governance plan, transition to electronic data entry and centralized data storage, transition to a relational database, and cloud-based integration. The method and outcome of this assessment could be used by other neglected tropical disease programs looking to transition to modern electronic data capture systems.</jats:p>
</jats:sec>},
  year = {2021},
  journal = {PLOS Neglected Tropical Diseases},
  volume = {15},
  pages = {e0009675},
  publisher = {Public Library of Science (PLoS)},
  issn = {1935-2735},
  url = {https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0009675&type=printable},
  doi = {10.1371/journal.pntd.0009675},
  language = {eng},
}