2026-09-20T16:58:03Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1075822022-02-01T20:36:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Sanjay Sarma.
Bhattacharjee, Partha Sarathi, S.M. Massachusetts Institute of Technology
Technology and Policy Program.
System Design and Management Program.
Massachusetts Institute of Technology. Engineering Systems Division
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Technology and Policy Program
2017-03-20T19:41:07Z
2017-03-20T19:41:07Z
2016
2016
http://hdl.handle.net/1721.1/107582
974652556
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2016.
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, System Design and Management Program, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 79-82).
Vaccines are globally recognized as a critical public health intervention. Routine immunization coverage in large parts of the developing world is around 80%. Technology and policy initiatives are presently underway to improve vaccine access in such countries. Efforts to deploy AIDC technologies, such as barcodes, on vaccine packaging in developing countries are currently ongoing under the aegis of the 'Decade of Vaccines' initiative by key stakeholders. Such a scenario presents an opportunity to evaluate novel approaches for enhancing vaccine access. In this thesis I report the development of VacSeen, a Semantic Web technology-enabled platform for improving vaccine access in developing countries. Furthermore, I report results of evaluation of a suite of constituent software and hardware tools pertaining to facilitating equitable vaccine access in resource-constrained settings through data linkage and temperature sensing. I subsequently discuss the value of such linkage and approaches to implementation using concepts from technology, policy, and systems analysis.
by Partha Sarathi Bhattacharjee.
S.M. in Technology and Policy
S.M. in Engineering and Management
82 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Institute for Data, Systems, and Society.
System Design and Management Program.
Engineering Systems Division.
Technology and Policy Program.
VacSeen : semantically enriched automatic identification and data capture for improved vaccine logistics
Vac Seen : semantically enriched automatic identification and data capture for improved vaccine logistics
Semantically enriched automatic identification and data capture for improved vaccine logistics
Thesis
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<Abstract>Vaccines are globally recognized as a critical public health intervention. Routine immunization coverage in large parts of the developing world is around 80%. Technology and policy initiatives are presently underway to improve vaccine access in such countries. Efforts to deploy AIDC technologies, such as barcodes, on vaccine packaging in developing countries are currently ongoing under the aegis of the 'Decade of Vaccines' initiative by key stakeholders. Such a scenario presents an opportunity to evaluate novel approaches for enhancing vaccine access. In this thesis I report the development of VacSeen, a Semantic Web technology-enabled platform for improving vaccine access in developing countries. Furthermore, I report results of evaluation of a suite of constituent software and hardware tools pertaining to facilitating equitable vaccine access in resource-constrained settings through data linkage and temperature sensing. I subsequently discuss the value of such linkage and approaches to implementation using concepts from technology, policy, and systems analysis.</Abstract>
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