PDF(Pubmed)
Abstract：
BACKGROUND: Contact tracing is a public health intervention implemented in synergy with other preventive measures to curb epidemics, like the coronavirus pandemic. The development and use of digital devices have increased worldwide to enhance the contact tracing process. The aim of the study was to evaluate the effectiveness and impact of tracking coronavirus disease 2019 (COVID-19) patients using digital solutions.
METHODS: Observational studies on digital contact tracing (DCT), published 2020-21, in English were identified through a systematic literature review performed on nine online databases. An ad hoc form was used for data extraction of relevant information. Quality assessment of the included studies was performed with validated tools. A qualitative synthesis of the findings is reported.
RESULTS: Over 8000 records were identified and 37 were included in the study: 24 modelling and 13 population-based studies. DCT improved the identification of close contacts of COVID-19 cases and reduced the effective reproduction number of COVID-19-related infections and deaths by over 60%. It impacted positively on societal and economic costs, in terms of lockdowns and use of resources, including staffing. Privacy and security issues were reported in 27 studies.
CONCLUSIONS: DCT contributed to curbing the COVID-19 pandemic, especially with the high uptake rate of the devices and in combination with other public health measures, especially conventional contact tracing. The main barriers to the implementation of the devices are uptake rate, security and privacy issues. Public health digitalization and contact tracing are the keys to countries\' emergency preparedness for future health crises.
METHODS: Observational studies on digital contact tracing (DCT), published 2020-21, in English were identified through a systematic literature review performed on nine online databases. An ad hoc form was used for data extraction of relevant information. Quality assessment of the included studies was performed with validated tools. A qualitative synthesis of the findings is reported.
RESULTS: Over 8000 records were identified and 37 were included in the study: 24 modelling and 13 population-based studies. DCT improved the identification of close contacts of COVID-19 cases and reduced the effective reproduction number of COVID-19-related infections and deaths by over 60%. It impacted positively on societal and economic costs, in terms of lockdowns and use of resources, including staffing. Privacy and security issues were reported in 27 studies.
CONCLUSIONS: DCT contributed to curbing the COVID-19 pandemic, especially with the high uptake rate of the devices and in combination with other public health measures, especially conventional contact tracing. The main barriers to the implementation of the devices are uptake rate, security and privacy issues. Public health digitalization and contact tracing are the keys to countries\' emergency preparedness for future health crises.
摘要：
背景：接触者追踪是与其他预防措施协同实施的公共卫生干预措施，以遏制流行病，就像冠状病毒大流行一样。在世界范围内，数字设备的开发和使用已经增加，以增强接触追踪过程。该研究的目的是评估使用数字解决方案跟踪2019年冠状病毒病（COVID-19）患者的有效性和影响。
方法：关于数字接触追踪（DCT）的观察性研究，发表于2020-21年，通过在9个在线数据库上进行的系统文献综述，以英语进行了鉴定。临时表格用于相关信息的数据提取。使用经过验证的工具对纳入研究进行质量评估。报告了这些发现的定性综合。
结果：超过8000条记录被确定，37条被纳入研究：24项建模研究和13项基于人群的研究。DCT提高了COVID-19病例密切接触者的识别，并将COVID-19相关感染和死亡的有效繁殖数量减少了60％以上。它对社会和经济成本产生了积极影响，在封锁和资源使用方面，包括人员配备。27项研究报告了隐私和安全问题。
结论：DCT有助于遏制COVID-19大流行，特别是设备的高吸收率以及其他公共卫生措施的结合，尤其是传统的接触追踪。装置实施的主要障碍是吸收率，安全和隐私问题。公共卫生数字化和接触者追踪是各国为未来卫生危机做好应急准备的关键。
方法：关于数字接触追踪（DCT）的观察性研究，发表于2020-21年，通过在9个在线数据库上进行的系统文献综述，以英语进行了鉴定。临时表格用于相关信息的数据提取。使用经过验证的工具对纳入研究进行质量评估。报告了这些发现的定性综合。
结果：超过8000条记录被确定，37条被纳入研究：24项建模研究和13项基于人群的研究。DCT提高了COVID-19病例密切接触者的识别，并将COVID-19相关感染和死亡的有效繁殖数量减少了60％以上。它对社会和经济成本产生了积极影响，在封锁和资源使用方面，包括人员配备。27项研究报告了隐私和安全问题。
结论：DCT有助于遏制COVID-19大流行，特别是设备的高吸收率以及其他公共卫生措施的结合，尤其是传统的接触追踪。装置实施的主要障碍是吸收率，安全和隐私问题。公共卫生数字化和接触者追踪是各国为未来卫生危机做好应急准备的关键。
