论文标题
建模重复无症状测试策略对员工对SARS-COV-2传输潜力的影响
Modelling the impact of repeat asymptomatic testing policies for staff on SARS-CoV-2 transmission potential
论文作者
论文摘要
重复无症状的测试以识别和隔离感染性个体，已成为控制SARS-COV-2传播的广泛使用的干预措施。在某些工作场所，尤其是与脆弱患者的健康和社会护理环境中，已将定期无症状测试部署给员工，以减少工作场所爆发的可能性。我们已经根据文献中可用的数据开发了一个模型，以预测重复无症状测试对SARS-COV-2传输的潜在影响。结果突出了在建模测试干预措施时要考虑的特征，包括传染性的种群异质性和与测试阳性概率的相关性以及响应政策的依从性行为。此外，基于此处介绍的传输电势的减少的模型可用于参数化现有的流行病学模型，而无需明确模拟测试过程。总体而言，我们发现，即使使用不同的模型参数，从理论上讲，常规无症状测试也可能是一种高效的措施，以减少工作场所的传播，但要遵守依从性。
Repeat asymptomatic testing in order to identify and quarantine infectious individuals has become a widely-used intervention to control SARS-CoV-2 transmission. In some workplaces, and in particular health and social care settings with vulnerable patients, regular asymptomatic testing has been deployed to staff to reduce the likelihood of workplace outbreaks. We have developed a model based on data available in the literature to predict the potential impact of repeat asymptomatic testing on SARS-CoV-2 transmission. The results highlight features that are important to consider when modelling testing interventions, including population heterogeneity of infectiousness and correlation with test-positive probability, as well as adherence behaviours in response to policy. Furthermore, the model based on the reduction in transmission potential presented here can be used to parameterise existing epidemiological models without them having to explicitly simulate the testing process. Overall, we find that even with different model paramterisations, in theory, regular asymptomatic testing is likely to be a highly effective measure to reduce transmission in workplaces, subject to adherence.
