{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T10:08:31Z","timestamp":1777543711153,"version":"3.51.4"},"reference-count":37,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T00:00:00Z","timestamp":1658880000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Natasha Martin","award":["NIH UCSD CFAR P30 AI036214"],"award-info":[{"award-number":["NIH UCSD CFAR P30 AI036214"]}]},{"name":"Victor DeGruttola","award":["NIH NIAID R37 51134"],"award-info":[{"award-number":["NIH NIAID R37 51134"]}]},{"name":"Victor DeGruttola","award":["NIH P30 AI036214-24"],"award-info":[{"award-number":["NIH P30 AI036214-24"]}]},{"name":"Victor DeGruttola","award":["NIH R01 AI138901-01A1"],"award-info":[{"award-number":["NIH R01 AI138901-01A1"]}]},{"name":"Victor DeGruttola","award":["NIH R24 AI106039-05"],"award-info":[{"award-number":["NIH R24 AI106039-05"]}]},{"name":"Ravi Goyal","award":["NIH R01 AI 138901"],"award-info":[{"award-number":["NIH R01 AI 138901"]}]},{"name":"Ravi Goyal","award":["NIH R01 AI 147441"],"award-info":[{"award-number":["NIH R01 AI 147441"]}]},{"name":"Center for AIDS Research","award":["NIH R01 AI136947"],"award-info":[{"award-number":["NIH R01 AI136947"]}]},{"DOI":"10.13039\/100008673","name":"center for aids research, university of california, san diego","doi-asserted-by":"publisher","award":["R01 AI147490"],"award-info":[{"award-number":["R01 AI147490"]}],"id":[{"id":"10.13039\/100008673","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"national institutes of health","doi-asserted-by":"publisher","award":["P30 AI036214"],"award-info":[{"award-number":["P30 AI036214"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIH Institutes and Centers"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clinical Trials"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:p>Network science methods can be useful in design, monitoring, and analysis of randomized trials for control of spread of infections. Their usefulness arises from the role of statistical network models in molecular epidemiology and in study design. Computational models, such as agent-based models that propagate disease on simulated contact networks, can be used to investigate the properties of different study designs and analysis plans. Particularly valuable is the use of these methods to assess how magnitude and detectability of intervention effects depend on both individual-level and network-level characteristics of the enrolled populations. Such investigation also provides an important approach to assessing consequences of study data being incomplete or measured with error. To address these goals, we consider two statistical network models: exponential random graph models and the more flexible congruence class models. We focus first on an historical use of these methods in design and monitoring of a cluster randomized trial in Botswana to evaluate the effect of combination HIV prevention modalities compared to standard of care on HIV incidence. We then present a framework for the design of a study of booster vaccine effects on infection with, and forward transmission of, SARS-CoV-2 variants. Motivation for the study is driven in part by guidance from the United Kingdom to base approval of booster vaccines with \u201cstrain changes\u201d that target variants on results of neutralizing antibody tests and information about safety, but without requiring evidence of clinical efficacy. Using designs informed by our agent-based network models, we show it may be feasible to conduct a trial of novel SARS-CoV-2 vaccines in a single large campus to obtain useful information regarding vaccine efficacy against susceptibility and infectiousness. If needed, the sample size could be increased by extending the study to a small number of campuses. Novel network methods may be useful in developing pragmatic SARS-CoV-2 vaccine trials that can leverage existing infrastructure to reduce costs and hasten the development of results.<\/jats:p>","DOI":"10.1177\/17407745221111818","type":"journal-article","created":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T05:41:50Z","timestamp":1658900510000},"page":"363-374","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Network methods and design of randomized trials: Application to investigation of COVID-19 vaccination boosters"],"prefix":"10.1177","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2772-6242","authenticated-orcid":false,"given":"Victor","family":"DeGruttola","sequence":"first","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA"},{"name":"Division of Infectious Diseases & Global Public Health, Department of Medicine, University of California San Diego La Jolla, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ravi","family":"Goyal","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases & Global Public Health, Department of Medicine, University of California San Diego La Jolla, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natasha K","family":"Martin","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases & Global Public Health, Department of Medicine, University of California San Diego La Jolla, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA"},{"name":"Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"bibr1-17407745221111818","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2021.24165"},{"key":"bibr2-17407745221111818","doi-asserted-by":"publisher","DOI":"10.1126\/science.abm3425"},{"key":"bibr3-17407745221111818","doi-asserted-by":"publisher","DOI":"10.1097\/EDE.0000000000001415"},{"key":"bibr4-17407745221111818","volume-title":"Design and analysis of vaccine studies","author":"Halloran 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