The role of digital tools and emerging devices in COVID-19 contact tracing during the first 18 months of the pandemic: a systematic review

Author:

Unim Brigid1,Zile-Velika Irisa2,Pavlovska Zane2,Lapao Luis345,Peyroteo Mariana345ORCID,Misins Janis2,Forjaz Maria João6ORCID,Nogueira Paulo789,Grisetti Tiziana1,Palmieri Luigi1ORCID

Affiliation:

1. Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità , Rome, Italy

2. Centre for Disease Prevention and Control of Latvia , Riga, Latvia

3. UNIDEMI, Department of Mechanical and Industrial Engineering , NOVA School of Science and Technology, , Caparica, Portugal

4. Universidade Nova de Lisboa , NOVA School of Science and Technology, , Caparica, Portugal

5. CHRC, Nova Medical School, Universidade Nova de Lisboa , Lisbon, Portugal

6. National Center of Epidemiology, Health Institute Carlos III and RICAPPS , Madrid, Spain

7. CHRC, National School of Public Health, Nova de Lisboa University , Lisbon, Portugal

8. Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Nursing School of Lisbon , Lisbon, Portugal

9. Instituto de Saúde Ambiental (ISAMB), Laboratório para a Sustentabilidade do Uso da Terra e dos Serviços dos Ecossistemas—TERRA, Faculdade de Medicina, Universidade de Lisboa , Lisbon, Portugal

Abstract

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.

Funder

European Union’s Horizon 2020 research and innovation programme

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3