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- Publisher Website: 10.1109/TCYB.2018.2853611
- Scopus: eid_2-s2.0-85049946901
- PMID: 30010610
- WOS: WOS:000450613100014
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Article: Optimizing HIV interventions for multiplex social networks via partition-based random search
Title | Optimizing HIV interventions for multiplex social networks via partition-based random search |
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Authors | |
Keywords | Human immunodeficiency virus (HIV) transmissions infectious disease partition-based random search (PRS) simulation optimization social networks |
Issue Date | 2018 |
Citation | IEEE Transactions on Cybernetics, 2018, v. 48, n. 12, p. 3411-3419 How to Cite? |
Abstract | There are multiple modes for human immunodeficiency virus (HIV) transmissions, each of which is usually associated with a certain key population (e.g., needle sharing among people who inject drugs). Recent field studies revealed the merging trend of multiple key populations, making HIV intervention difficult because of the existence of multiple transmission modes in such complex multiplex social networks. In this paper, we aim to address this challenge by developing a multiplex social network framework to capture the multimode transmission across two key populations. Based on the multiplex social network framework, we propose a new random search method, named partition-based random search with network and memory prioritization (PRS-NMP), to identify the optimal subset of high-value individuals in the social network for interventions. Numerical experiments demonstrated that the proposed PRS-NMP-based interventions could effectively reduce the scale of HIV transmissions. The performance of PRS-NMP-based interventions is consistently better than the benchmark nested partitions method and network-based metrics. |
Persistent Identifier | http://hdl.handle.net/10722/330572 |
ISSN | 2023 Impact Factor: 9.4 2023 SCImago Journal Rankings: 5.641 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Qingpeng | - |
dc.contributor.author | Zhong, Lu | - |
dc.contributor.author | Gao, Siyang | - |
dc.contributor.author | Li, Xiaoming | - |
dc.date.accessioned | 2023-09-05T12:11:53Z | - |
dc.date.available | 2023-09-05T12:11:53Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE Transactions on Cybernetics, 2018, v. 48, n. 12, p. 3411-3419 | - |
dc.identifier.issn | 2168-2267 | - |
dc.identifier.uri | http://hdl.handle.net/10722/330572 | - |
dc.description.abstract | There are multiple modes for human immunodeficiency virus (HIV) transmissions, each of which is usually associated with a certain key population (e.g., needle sharing among people who inject drugs). Recent field studies revealed the merging trend of multiple key populations, making HIV intervention difficult because of the existence of multiple transmission modes in such complex multiplex social networks. In this paper, we aim to address this challenge by developing a multiplex social network framework to capture the multimode transmission across two key populations. Based on the multiplex social network framework, we propose a new random search method, named partition-based random search with network and memory prioritization (PRS-NMP), to identify the optimal subset of high-value individuals in the social network for interventions. Numerical experiments demonstrated that the proposed PRS-NMP-based interventions could effectively reduce the scale of HIV transmissions. The performance of PRS-NMP-based interventions is consistently better than the benchmark nested partitions method and network-based metrics. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Cybernetics | - |
dc.subject | Human immunodeficiency virus (HIV) transmissions | - |
dc.subject | infectious disease | - |
dc.subject | partition-based random search (PRS) | - |
dc.subject | simulation optimization | - |
dc.subject | social networks | - |
dc.title | Optimizing HIV interventions for multiplex social networks via partition-based random search | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TCYB.2018.2853611 | - |
dc.identifier.pmid | 30010610 | - |
dc.identifier.scopus | eid_2-s2.0-85049946901 | - |
dc.identifier.volume | 48 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 3411 | - |
dc.identifier.epage | 3419 | - |
dc.identifier.isi | WOS:000450613100014 | - |