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模拟接触症状个体对 COVID-19 疫情的影响。

Modelling the impact of contact tracing of symptomatic individuals on the COVID-19 epidemic.

机构信息

Laboratorio de Investigacao Medica (LIM01), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.

Faculdade de Medicina Veterinaria e Zootecnia, Universidade de Sao Paulo, Sao Paulo, SP, BR.

出版信息

Clinics (Sao Paulo). 2021 Mar 26;76:e2639. doi: 10.6061/clinics/2021/e2639. eCollection 2021.

Abstract

OBJECTIVES

With the declining numbers of coronavirus disease 2019 (COVID-19) cases in the state of São Paulo, Brazil, social distancing measures have gradually been lifted. However, the risk of a surge in the number of cases cannot be overlooked. Even with the adoption of nonpharmaceutical interventions, such as restrictions on mass gatherings, wearing of masks, and complete or partial closure of schools, other public health measures may help control the epidemic. We aimed to evaluate the impact of the contact tracing of symptomatic individuals on the COVID-19 epidemic regardless of the use of diagnostic testing.

METHODS

We developed a mathematical model that includes isolation of symptomatic individuals and tracing of contacts to assess the effects of the contact tracing of symptomatic individuals on the COVID-19 epidemic in the state of São Paulo.

RESULTS

For a selection efficacy (proportion of isolated contacts who are infected) of 80%, cases and deaths may be reduced by 80% after 60 days when 5000 symptomatic individuals are isolated per day, each of them together with 10 contacts. On the other hand, for a selection efficacy of 20%, the number of cases and deaths may be reduced by approximately 40% and 50%, respectively, compared with the scenario in which no contact-tracing strategy is implemented.

CONCLUSION

Contact tracing of symptomatic individuals may potentially be an alternative strategy when the number of diagnostic tests available is not sufficient for massive testing.

摘要

目的

随着巴西圣保罗州新冠肺炎(COVID-19)病例数量的下降,社交距离措施已逐渐放宽。然而,不能忽视病例数量激增的风险。即使采取了非药物干预措施,如限制大规模集会、佩戴口罩以及全面或部分关闭学校等,其他公共卫生措施也可能有助于控制疫情。我们旨在评估对有症状个体的接触者追踪,无论是否进行诊断检测,对 COVID-19 疫情的影响。

方法

我们开发了一个数学模型,其中包括对有症状个体的隔离和接触者的追踪,以评估对有症状个体的接触者追踪对圣保罗州 COVID-19 疫情的影响。

结果

在选择效果(被隔离接触者中感染的比例)为 80%的情况下,如果每天隔离 5000 名有症状个体,每个人与 10 名接触者一起,那么在 60 天后,病例和死亡数可能会减少 80%。另一方面,如果选择效果为 20%,与不实施接触者追踪策略的情况相比,病例和死亡数可能分别减少约 40%和 50%。

结论

当可用于大规模检测的诊断测试数量不足时,对有症状个体的接触者追踪可能是一种替代策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ab5/7978843/0d3159c067a0/cln-76-e2639-g001.jpg

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