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Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa
Infectious diseases are a major health concern in South Africa and many other developing countries. The local development of medical devices for infectious diseases in such settings, utilizing the local knowledge base, has the potential to improve the accuracy of and access to diagnoses and to lead...
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| Format: | Thesis |
| Language: | English |
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Division of Biomedical Engineering
2019
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| _version_ | 1867613219285106688 |
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| access_status_str | Open Access |
| author | Nyathi, Nonku |
| author2 | Douglas, Tania |
| author_browse | Douglas, Tania Nyathi, Nonku |
| author_facet | Douglas, Tania Nyathi, Nonku |
| author_sort | Nyathi, Nonku |
| collection | Thesis |
| description | Infectious diseases are a major health concern in South Africa and many other developing countries. The local development of medical devices for infectious diseases in such settings, utilizing the local knowledge base, has the potential to improve the accuracy of and access to diagnoses and to lead to the devices being more context-appropriate and affordable. The aim of this project was to examine the landscape of diagnostic medical device development targeting infectious diseases prevalent in South Africa for the period 2000-2016, particularly with regard to collaboration between institutions in different sectors and the contributions of different collaborators. Such knowledge would be beneficial to future technological and policy developments aimed at improving access to diagnostic services and treatment in the South African context. Collaboration across four sectors was considered: university, hospital, industry and science councils and facilities. A bibliometric analysis was performed, and publications documenting medical device development for diagnosis of infectious diseases were extracted. Co-authorship of the journal and conference articles was used as a proxy for collaboration across organisations. Affiliation data extracted from the publications were used to generate a collaboration network. Netdraw, a network visualisation tool, was used to visualize the network, and network metrics such as degree centrality, betweenness centrality and closeness centrality, as well as group density measures, were produced using UCINET software. The collaboration network and the network metrics were used to determine which organisations have collaborated and which collaborators have played the most active and influential roles in diagnostic device development. The university sector was found to make the largest contribution to the development of diagnostic medical devices in South Africa, and also played a key role in transmitting information throughout the network due to its high frequency of connections to other organisations. The most prevalent type of inter-sectoral collaboration was between universities and science councils and facilities, while universities were found to collaborate most amongst themselves with regard to intrasectoral collaboration. Foreign organisations played a prominent role in diagnostic device development between 2012 and 2016. Tuberculosis was the most prevalent infectious disease in diagnostic device development research, and computer-aided detection was a common feature of research on diagnostic device development. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/29584 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:39.476Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Division of Biomedical Engineering |
| publisherStr | Division of Biomedical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/29584 Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa Nyathi, Nonku Douglas, Tania De Jager, Kylie Health Innovation Infectious diseases are a major health concern in South Africa and many other developing countries. The local development of medical devices for infectious diseases in such settings, utilizing the local knowledge base, has the potential to improve the accuracy of and access to diagnoses and to lead to the devices being more context-appropriate and affordable. The aim of this project was to examine the landscape of diagnostic medical device development targeting infectious diseases prevalent in South Africa for the period 2000-2016, particularly with regard to collaboration between institutions in different sectors and the contributions of different collaborators. Such knowledge would be beneficial to future technological and policy developments aimed at improving access to diagnostic services and treatment in the South African context. Collaboration across four sectors was considered: university, hospital, industry and science councils and facilities. A bibliometric analysis was performed, and publications documenting medical device development for diagnosis of infectious diseases were extracted. Co-authorship of the journal and conference articles was used as a proxy for collaboration across organisations. Affiliation data extracted from the publications were used to generate a collaboration network. Netdraw, a network visualisation tool, was used to visualize the network, and network metrics such as degree centrality, betweenness centrality and closeness centrality, as well as group density measures, were produced using UCINET software. The collaboration network and the network metrics were used to determine which organisations have collaborated and which collaborators have played the most active and influential roles in diagnostic device development. The university sector was found to make the largest contribution to the development of diagnostic medical devices in South Africa, and also played a key role in transmitting information throughout the network due to its high frequency of connections to other organisations. The most prevalent type of inter-sectoral collaboration was between universities and science councils and facilities, while universities were found to collaborate most amongst themselves with regard to intrasectoral collaboration. Foreign organisations played a prominent role in diagnostic device development between 2012 and 2016. Tuberculosis was the most prevalent infectious disease in diagnostic device development research, and computer-aided detection was a common feature of research on diagnostic device development. 2019-02-18T10:07:01Z 2019-02-18T10:07:01Z 2018 2019-02-18T09:35:08Z Master Thesis Masters MPhil http://hdl.handle.net/11427/29584 eng application/pdf Division of Biomedical Engineering Faculty of Health Sciences University of Cape Town |
| spellingShingle | Health Innovation Nyathi, Nonku Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa |
| thesis_degree_str | Master's |
| title | Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa |
| title_full | Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa |
| title_fullStr | Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa |
| title_full_unstemmed | Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa |
| title_short | Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa |
| title_sort | network analysis of diagnostic medical device development for infectious diseases prevalent in south africa |
| topic | Health Innovation |
| url | http://hdl.handle.net/11427/29584 |
| work_keys_str_mv | AT nyathinonku networkanalysisofdiagnosticmedicaldevicedevelopmentforinfectiousdiseasesprevalentinsouthafrica |