Martyn Fyles, Christopher E. Overton, Tom Ward, Emma Bennett, Tom Fowler, Ian Hall
{"title":"为控制疫情建立多重检测模型","authors":"Martyn Fyles, Christopher E. Overton, Tom Ward, Emma Bennett, Tom Fowler, Ian Hall","doi":"arxiv-2408.17239","DOIUrl":null,"url":null,"abstract":"During the SARS-CoV-2 pandemic, polymerase chain reaction (PCR) and lateral\nflow device (LFD) tests were frequently deployed to detect the presence of\nSARS-CoV-2. Many of these tests were singleplex, and only tested for the\npresence of a single pathogen. Multiplex tests can test for the presence of\nseveral pathogens using only a single swab, which can allow for: surveillance\nof more pathogens, targeting of antiviral interventions, a reduced burden of\ntesting, and lower costs. Test sensitivity however, particularly in LFD tests,\nis highly conditional on the viral concentration dynamics of individuals. To\ninform the use of multiplex testing in outbreak detection it is therefore\nnecessary to investigate the interactions between outbreak detection strategies\nand the differing viral concentration trajectories of key pathogens. Viral\nconcentration trajectories are estimated for SARS-CoV-2, and Influenza A/B.\nTesting strategies for the first five symptomatic cases in an outbreak are then\nsimulated and used to evaluate key performance indicators. Strategies that use\na combination of multiplex LFD and PCR tests achieve; high levels of detection,\ndetect outbreaks rapidly, and have the lowest burden of testing across multiple\npathogens. Influenza B was estimated to have lower rates of detection due to\nits modelled viral concentration dynamics.","PeriodicalId":501172,"journal":{"name":"arXiv - STAT - Applications","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling multiplex testing for outbreak Control\",\"authors\":\"Martyn Fyles, Christopher E. Overton, Tom Ward, Emma Bennett, Tom Fowler, Ian Hall\",\"doi\":\"arxiv-2408.17239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During the SARS-CoV-2 pandemic, polymerase chain reaction (PCR) and lateral\\nflow device (LFD) tests were frequently deployed to detect the presence of\\nSARS-CoV-2. Many of these tests were singleplex, and only tested for the\\npresence of a single pathogen. Multiplex tests can test for the presence of\\nseveral pathogens using only a single swab, which can allow for: surveillance\\nof more pathogens, targeting of antiviral interventions, a reduced burden of\\ntesting, and lower costs. Test sensitivity however, particularly in LFD tests,\\nis highly conditional on the viral concentration dynamics of individuals. To\\ninform the use of multiplex testing in outbreak detection it is therefore\\nnecessary to investigate the interactions between outbreak detection strategies\\nand the differing viral concentration trajectories of key pathogens. Viral\\nconcentration trajectories are estimated for SARS-CoV-2, and Influenza A/B.\\nTesting strategies for the first five symptomatic cases in an outbreak are then\\nsimulated and used to evaluate key performance indicators. Strategies that use\\na combination of multiplex LFD and PCR tests achieve; high levels of detection,\\ndetect outbreaks rapidly, and have the lowest burden of testing across multiple\\npathogens. Influenza B was estimated to have lower rates of detection due to\\nits modelled viral concentration dynamics.\",\"PeriodicalId\":501172,\"journal\":{\"name\":\"arXiv - STAT - Applications\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - STAT - Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.17239\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.17239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
During the SARS-CoV-2 pandemic, polymerase chain reaction (PCR) and lateral
flow device (LFD) tests were frequently deployed to detect the presence of
SARS-CoV-2. Many of these tests were singleplex, and only tested for the
presence of a single pathogen. Multiplex tests can test for the presence of
several pathogens using only a single swab, which can allow for: surveillance
of more pathogens, targeting of antiviral interventions, a reduced burden of
testing, and lower costs. Test sensitivity however, particularly in LFD tests,
is highly conditional on the viral concentration dynamics of individuals. To
inform the use of multiplex testing in outbreak detection it is therefore
necessary to investigate the interactions between outbreak detection strategies
and the differing viral concentration trajectories of key pathogens. Viral
concentration trajectories are estimated for SARS-CoV-2, and Influenza A/B.
Testing strategies for the first five symptomatic cases in an outbreak are then
simulated and used to evaluate key performance indicators. Strategies that use
a combination of multiplex LFD and PCR tests achieve; high levels of detection,
detect outbreaks rapidly, and have the lowest burden of testing across multiple
pathogens. Influenza B was estimated to have lower rates of detection due to
its modelled viral concentration dynamics.