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利用学生主导的接触者追踪计划缓解宾夕法尼亚州中部的 COVID-19 疾病负担。

Utilizing student-led contact tracing initiative to alleviate COVID-19 disease burden in central Pennsylvania.

机构信息

The Warren Alpert Medical School of Brown University, Providence, RI.

Penn State College of Medicine, Hershey, PA.

出版信息

Ann Epidemiol. 2023 Jan;77:31-36. doi: 10.1016/j.annepidem.2022.10.009. Epub 2022 Nov 2.

Abstract

PURPOSE

Contact tracing elicits probable contacts from COVID-19 cases. Our student-led contact tracing initiative promoted isolation of both confirmed and probable cases and quarantine of contacts to reduce disease in Central Pennsylvania.

METHODS

Close contacts of COVID-19 cases were contacted by tracers, advised to quarantine, and monitored for 14 days for symptoms. Symptomatic contacts were classified as probable cases and advised to isolate. Data was collected from March 24, 2020 to May 26, 2020. Poisson regression and linear regression were utilized to examine the relationships between case and number of contacts and proportion of symptomatic contacts.

RESULTS

Study sample comprised of 346 confirmed and 157 probable cases. Our results indicate a significant difference in percent of household contacts who became symptomatic between confirmed and probable cases (22% vs. 3%; adjusted P<.01). Similarly, probable cases had significantly fewer non-household contacts compared to confirmed cases (0.87 vs. 0.55; adjusted P<.01).

CONCLUSIONS

Timely notification of exposure to a COVID-19 positive individual by student contact tracers allowed for probable cases to quarantine early in the disease process. Our data suggests that early quarantine and/or isolation may have directly contributed to probable cases having fewer non-household contacts and a smaller proportion of symptomatic household-contacts compared to confirmed cases.

摘要

目的

接触者追踪从 COVID-19 病例中确定可能的接触者。我们的学生主导的接触者追踪计划促进了确诊病例和可能病例的隔离以及接触者的隔离,以减少宾夕法尼亚州中部的疾病传播。

方法

接触者追踪员联系 COVID-19 病例的密切接触者,建议他们进行隔离,并在 14 天内监测症状。出现症状的接触者被归类为可能病例,并建议进行隔离。数据收集自 2020 年 3 月 24 日至 2020 年 5 月 26 日。利用泊松回归和线性回归来检验病例和接触人数以及有症状接触者比例之间的关系。

结果

研究样本包括 346 例确诊病例和 157 例可能病例。我们的结果表明,确诊病例和可能病例的家庭接触者出现症状的比例有显著差异(22%比 3%;调整后的 P<.01)。同样,可能病例的非家庭接触者明显少于确诊病例(0.87 比 0.55;调整后的 P<.01)。

结论

学生接触者追踪员及时通知接触 COVID-19 阳性个体,使可能病例在疾病早期进行隔离。我们的数据表明,早期隔离和/或隔离可能直接导致可能病例的非家庭接触者较少,且家庭接触者中出现症状的比例低于确诊病例。

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