Effectiveness of Ehteraz digital contact tracing app versus conventional contact tracing in managing the outbreak of COVID-19 in the State of Qatar

被引:2
|
作者
Al-Kuwari, Mohamed Ghaith [1 ,2 ]
Al Nuaimi, Asma Ali [1 ]
Semaan, Sandy [1 ]
Gibb, John Michael [1 ]
AbdulMajeed, Jazeel [1 ]
Al Romaihi, Hamad Eid [3 ]
机构
[1] Primary Healthcare Corp, Strategy & Hlth Intelligence, Doha, Qatar
[2] Qatar Univ, Coll Med, Doha, Qatar
[3] Minist Publ Hlth, Publ Hlth, Doha, Qatar
关键词
COVID-19; Public Health; Environment and Public Health;
D O I
10.1136/bmjinnov-2021-000879
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Introduction Contact tracing is an integral component of the overall public health strategy for controlling the outbreak of infectious diseases such as COVID-19. In addition to the conventional contact tracing, Qatar has implemented Ehteraz, a proximity-tracing mobile phone App using global positioning system and Bluetooth technologies. In this paper, we aim to evaluate the accuracy of Ehteraz as a contact tracing App based on the WHO contact tracing criteria and compare its effectiveness to the traditional human led case investigation. Methods A cross-sectional study was conducted using two databases, including Ehteraz proximity data and swab collection and case investigations reports for the same period. Results 46.9% of contacts identified by the Ehteraz app did not meet WHO duration and distance criteria. Among the 5650 contacts flagged by Ehteraz during the period, 4973 (88.0%) of contacts did not share any known relation with the index case they are linked to. Conclusion The study highlighted the inaccuracy of the Ehteraz tool as its technology enables signals passing through walls, so people in different rooms could be unnecessarily flagged as having had contact. Big segments of the population (eg, Children) do not necessarily use smartphones and are not, therefore, flagged by Ehteraz digital contact tracing App. Similarly, Ehteraz rarely flags close contacts identified by human investigation as Bluetooth is usually turned off in a household or at a workplace. These findings highlight that digital contact tracing would be an efficient public health strategy when integrated to and complementing human investigation.
引用
收藏
页码:255 / 260
页数:6
相关论文
共 50 条
  • [1] Effectiveness of a COVID-19 contact tracing app in a simulation model with indirect and informal contact tracing
    Leung, Ka Yin
    Metting, Esther
    Ebbers, Wolfgang
    Veldhuijzen, Irene
    Andeweg, Stijn P.
    Luijben, Guus
    de Bruin, Marijn
    Wallinga, Jacco
    Klinkenberg, Don
    [J]. EPIDEMICS, 2024, 46
  • [2] Digital contact tracing for COVID-19
    Kleinman, Robert A.
    Merkel, Colin
    [J]. CANADIAN MEDICAL ASSOCIATION JOURNAL, 2020, 192 (24) : E653 - E656
  • [3] The German COVID-19 Digital Contact Tracing App: A Socioeconomic Evaluation
    Ellmann, Stephan
    Maryschok, Markus
    Schoeffski, Oliver
    Emmert, Martin
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
  • [4] Contact-Tracing Apps in Contact Tracing of COVID-19
    Jahnel, Tina
    Kernebeck, Sven
    Boebel, Simone
    Buchner, Benedikt
    Grill, Eva
    Hinck, Sebastian
    Ranisch, Robert
    Rothenbacher, Dietrich
    Schuez, Benjamin
    Starke, Dagmar
    Wienert, Julian
    Zeeb, Hajo
    Gerhardus, Ansgar
    [J]. GESUNDHEITSWESEN, 2020, 82 (08/09) : 664 - 669
  • [5] Contact tracing with digital assistance in Taiwan's COVID-19 outbreak response
    Jian, Shu-Wan
    Cheng, Hao-Yuan
    Huang, Xiang-Ting
    Liu, Ding-Ping
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 101 : 348 - 352
  • [6] Tracking and promoting the usage of a COVID-19 contact tracing app
    Munzert, Simon
    Selb, Peter
    Gohdes, Anita
    Stoetzer, Lukas F.
    Lowe, Will
    [J]. NATURE HUMAN BEHAVIOUR, 2021, 5 (02) : 247 - +
  • [7] Tracking and promoting the usage of a COVID-19 contact tracing app
    Simon Munzert
    Peter Selb
    Anita Gohdes
    Lukas F. Stoetzer
    Will Lowe
    [J]. Nature Human Behaviour, 2021, 5 : 247 - 255
  • [8] MODELING THE SECOND OUTBREAK OF COVID-19 WITH ISOLATION AND CONTACT TRACING
    Song, Haitao
    Liu, Fang
    Li, Feng
    Cao, Xiaochun
    Wang, Hao
    Jia, Zhongwei
    Zhu, Huaiping
    Li, Michael Y.
    Lin, Wei
    Yang, Hong
    Hu, Jianghong
    Jin, Zhen
    [J]. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2022, 27 (10): : 5757 - 5777
  • [9] On the Performance and Effectiveness of Digital Contact Tracing in the Second Wave of COVID-19 in Italy
    Maccari, Leonardo
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 10 (01) : 108 - 119
  • [10] From contact tracing to COVID-19 pass holder; the tortured journey of the French TousAntiCovid contact tracing app
    Schultz, Emilien
    Touzani, Rajae
    Mancini, Julien
    Ward, Jeremy K.
    [J]. PUBLIC HEALTH, 2022, 206 : 5 - 7