Contact Tracing Information Improves the Performance of Group Testing Algorithms Article Swipe
Ritesh Goenka
,
Shu-Jie Cao
,
Chau-Wai Wong
,
Ajit Rajwade
,
Dror Baron
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2106.02699
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2106.02699
Group testing can help maintain a widespread testing program using fewer resources amid a pandemic. In group testing, we are given $n$ samples, one per individual. These samples are arranged into $m < n$ pooled samples, where each pool is obtained by mixing a subset of the $n$ individual samples. Infected individuals are then identified using a group testing algorithm. In this paper, we use side information (SI) collected from contact tracing (CT) within nonadaptive/single-stage group testing algorithms. We generate CT SI data by incorporating characteristics of disease spread between individuals. These data are fed into two signal and measurement models for group testing, and numerical results show that our algorithms provide improved sensitivity and specificity. We also show how to incorporate CT SI into the design of the pooling matrix. That said, our numerical results suggest that the utilization of SI in the pooling matrix design based on the minimization of a weighted coherence measure does not yield significant performance gains beyond the incorporation of SI in the group testing algorithm.
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- Type
- preprint
- Language
- en
- Landing Page
- http://export.arxiv.org/pdf/2106.02699
- OA Status
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- References
- 54
- Related Works
- 20
- OpenAlex ID
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https://openalex.org/W3168515802Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2106.02699Digital Object Identifier
- Title
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Contact Tracing Information Improves the Performance of Group Testing AlgorithmsWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-06-04Full publication date if available
- Authors
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Ritesh Goenka, Shu-Jie Cao, Chau-Wai Wong, Ajit Rajwade, Dror BaronList of authors in order
- Landing page
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https://export.arxiv.org/pdf/2106.02699Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://export.arxiv.org/pdf/2106.02699Direct OA link when available
- Concepts
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Group testing, Pooling, Tracing, Algorithm, Group tests, Group (periodic table), Computer science, Matrix (chemical analysis), Statistics, Mathematics, Statistical hypothesis testing, Artificial intelligence, Combinatorics, Materials science, Operating system, Chemistry, Composite material, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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54Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.data | 82, 92 |
| abstract_inverted_index.does | 156 |
| abstract_inverted_index.each | 37 |
| abstract_inverted_index.from | 69 |
| abstract_inverted_index.help | 3 |
| abstract_inverted_index.into | 30, 95, 124 |
| abstract_inverted_index.pool | 38 |
| abstract_inverted_index.show | 107, 118 |
| abstract_inverted_index.side | 65 |
| abstract_inverted_index.that | 108, 137 |
| abstract_inverted_index.then | 53 |
| abstract_inverted_index.this | 61 |
| abstract_inverted_index.Group | 0 |
| abstract_inverted_index.These | 26, 91 |
| abstract_inverted_index.based | 147 |
| abstract_inverted_index.fewer | 10 |
| abstract_inverted_index.gains | 161 |
| abstract_inverted_index.given | 20 |
| abstract_inverted_index.group | 16, 57, 75, 102, 169 |
| abstract_inverted_index.said, | 132 |
| abstract_inverted_index.using | 9, 55 |
| abstract_inverted_index.where | 36 |
| abstract_inverted_index.yield | 158 |
| abstract_inverted_index.beyond | 162 |
| abstract_inverted_index.design | 126, 146 |
| abstract_inverted_index.matrix | 145 |
| abstract_inverted_index.mixing | 42 |
| abstract_inverted_index.models | 100 |
| abstract_inverted_index.paper, | 62 |
| abstract_inverted_index.pooled | 34 |
| abstract_inverted_index.signal | 97 |
| abstract_inverted_index.spread | 88 |
| abstract_inverted_index.subset | 44 |
| abstract_inverted_index.within | 73 |
| abstract_inverted_index.between | 89 |
| abstract_inverted_index.contact | 70 |
| abstract_inverted_index.disease | 87 |
| abstract_inverted_index.matrix. | 130 |
| abstract_inverted_index.measure | 155 |
| abstract_inverted_index.pooling | 129, 144 |
| abstract_inverted_index.program | 8 |
| abstract_inverted_index.provide | 111 |
| abstract_inverted_index.results | 106, 135 |
| abstract_inverted_index.samples | 27 |
| abstract_inverted_index.suggest | 136 |
| abstract_inverted_index.testing | 1, 7, 58, 76, 170 |
| abstract_inverted_index.tracing | 71 |
| abstract_inverted_index.Infected | 50 |
| abstract_inverted_index.arranged | 29 |
| abstract_inverted_index.generate | 79 |
| abstract_inverted_index.improved | 112 |
| abstract_inverted_index.maintain | 4 |
| abstract_inverted_index.obtained | 40 |
| abstract_inverted_index.samples, | 22, 35 |
| abstract_inverted_index.samples. | 49 |
| abstract_inverted_index.testing, | 17, 103 |
| abstract_inverted_index.weighted | 153 |
| abstract_inverted_index.coherence | 154 |
| abstract_inverted_index.collected | 68 |
| abstract_inverted_index.numerical | 105, 134 |
| abstract_inverted_index.pandemic. | 14 |
| abstract_inverted_index.resources | 11 |
| abstract_inverted_index.algorithm. | 59, 171 |
| abstract_inverted_index.algorithms | 110 |
| abstract_inverted_index.identified | 54 |
| abstract_inverted_index.individual | 48 |
| abstract_inverted_index.widespread | 6 |
| abstract_inverted_index.algorithms. | 77 |
| abstract_inverted_index.incorporate | 121 |
| abstract_inverted_index.individual. | 25 |
| abstract_inverted_index.individuals | 51 |
| abstract_inverted_index.information | 66 |
| abstract_inverted_index.measurement | 99 |
| abstract_inverted_index.performance | 160 |
| abstract_inverted_index.sensitivity | 113 |
| abstract_inverted_index.significant | 159 |
| abstract_inverted_index.utilization | 139 |
| abstract_inverted_index.individuals. | 90 |
| abstract_inverted_index.minimization | 150 |
| abstract_inverted_index.specificity. | 115 |
| abstract_inverted_index.incorporating | 84 |
| abstract_inverted_index.incorporation | 164 |
| abstract_inverted_index.characteristics | 85 |
| abstract_inverted_index.nonadaptive/single-stage | 74 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile |