Modeling serological testing to inform relaxation of social distancing for COVID-19 control
Serological testing remains a passive component of the current public health response to the COVID-19 pandemic. Using a mathematical model, the authors examine how testing for antibodies could have enabled policies in which seropositive individuals increased their relative levels of social interacti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-26774-y |
| _version_ | 1818719147770511360 |
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| author | Alicia N. M. Kraay Kristin N. Nelson Conan Y. Zhao David Demory Joshua S. Weitz Benjamin A. Lopman |
| author_facet | Alicia N. M. Kraay Kristin N. Nelson Conan Y. Zhao David Demory Joshua S. Weitz Benjamin A. Lopman |
| author_sort | Alicia N. M. Kraay |
| collection | DOAJ |
| description | Serological testing remains a passive component of the current public health response to the COVID-19 pandemic. Using a mathematical model, the authors examine how testing for antibodies could have enabled policies in which seropositive individuals increased their relative levels of social interaction while offsetting transmission risks |
| first_indexed | 2024-12-17T20:02:19Z |
| format | Article |
| id | doaj.art-8d30c9ca5a224ad8898138b4fdb7e8d0 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-17T20:02:19Z |
| publishDate | 2021-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-8d30c9ca5a224ad8898138b4fdb7e8d02022-12-21T21:34:27ZengNature PortfolioNature Communications2041-17232021-12-0112111010.1038/s41467-021-26774-yModeling serological testing to inform relaxation of social distancing for COVID-19 controlAlicia N. M. Kraay0Kristin N. Nelson1Conan Y. Zhao2David Demory3Joshua S. Weitz4Benjamin A. Lopman5Rollins School of Public Health, Emory UniversityRollins School of Public Health, Emory UniversitySchool of Biological Sciences, Georgia Institute of TechnologySchool of Biological Sciences, Georgia Institute of TechnologySchool of Biological Sciences, Georgia Institute of TechnologyRollins School of Public Health, Emory UniversitySerological testing remains a passive component of the current public health response to the COVID-19 pandemic. Using a mathematical model, the authors examine how testing for antibodies could have enabled policies in which seropositive individuals increased their relative levels of social interaction while offsetting transmission riskshttps://doi.org/10.1038/s41467-021-26774-y |
| spellingShingle | Alicia N. M. Kraay Kristin N. Nelson Conan Y. Zhao David Demory Joshua S. Weitz Benjamin A. Lopman Modeling serological testing to inform relaxation of social distancing for COVID-19 control Nature Communications |
| title | Modeling serological testing to inform relaxation of social distancing for COVID-19 control |
| title_full | Modeling serological testing to inform relaxation of social distancing for COVID-19 control |
| title_fullStr | Modeling serological testing to inform relaxation of social distancing for COVID-19 control |
| title_full_unstemmed | Modeling serological testing to inform relaxation of social distancing for COVID-19 control |
| title_short | Modeling serological testing to inform relaxation of social distancing for COVID-19 control |
| title_sort | modeling serological testing to inform relaxation of social distancing for covid 19 control |
| url | https://doi.org/10.1038/s41467-021-26774-y |
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