Show simple item record

dc.contributor.authorTom-Aba, Daniel
dc.contributor.authorSilenou, Bernard Chawo
dc.contributor.authorDoerrbecker, Juliane
dc.contributor.authorFourie, Carl
dc.contributor.authorLeitner, Carl
dc.contributor.authorWahnschaffe, Martin
dc.contributor.authorStrysewske, Maté
dc.contributor.authorArinze, Chinedu Chukwujekwu
dc.contributor.authorKrause, Gerard
dc.identifier.citationJMIR Public Health Surveill. 2020 Apr 29;6(2):e15860. doi: 10.2196/15860.en_US
dc.description.abstractBackground: Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response. Objective: The objective of this study was to evaluate the maturity of SORMAS using Digital Square's GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements. Methods: We evaluated SORMAS using the GGMM version 1.0 indicators to measure its development. SORMAS was scored based on all the GGMM indicator scores. We described how we used the GGMM to guide the development of SORMAS during the study period. GGMM contains 15 subindicators grouped into the following core indicators: (1) global utility, (2) community support, and (3) software maturity. Results: The assessment of SORMAS through the GGMM from November 2017 to October 2019 resulted in full completion of all subscores (10/30, (33%) in 2017; 21/30, (70%) in 2018; and 30/30, (100%) in 2019). SORMAS reached the full score of the GGMM for digital health software tools by accomplishing all 10 points for each of the 3 indicators on global utility, community support, and software maturity. Conclusions: To our knowledge, SORMAS is the first electronic health tool for disease surveillance, and also the first outbreak response management tool, that has achieved a 100% score. Although some conceptual changes would allow for further improvements to the system, the GGMM already has a robust supportive effect on developing software toward global goods maturity.en_US
dc.publisherJMIR publicationsen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.subjectEbola Virus Diseaseen_US
dc.subjectWest Africaen_US
dc.subjectcase managementen_US
dc.subjectcontact tracingen_US
dc.subjectinfectious diseasesen_US
dc.titleThe Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment.en_US
dc.contributor.departmentHZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.en_US
dc.identifier.journalJMIR public health and surveillanceen_US
dc.source.journaltitleJMIR public health and surveillance

Files in this item

Tom-Aba et al.pdf
Open Access publication

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International