 |
| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| Contact Transmission of COVID-19 in South Korea: Novel Investigation Techniques for Tracing Contacts |
|
Osong Public Health Res Perspect. 2020;11(1):60-63. Published online February 28, 2020 DOI: https://doi.org/10.24171/j.phrp.2020.11.1.09 |
|
Contact Transmission of COVID-19 in South Korea: Novel Investigation Techniques for Tracing Contacts Osong Public Health and Research Perspectives. 2020;11(1):60-63  Assessing the Effectiveness of Isolation and Contact-Tracing Interventions for Early Transmission Dynamics of COVID-19 in South Korea IEEE Access. 2021;9:41456-41467 On privacy enhancement using u-indistinguishability to COVID-19 contact tracing approach in Korea Data Science for COVID-19. 2021;661-673 Diagnostic serial interval as a novel indicator for contact tracing effectiveness exemplified with the SARS-CoV-2/COVID-19 outbreak in South Korea International Journal of Infectious Diseases. 2020;99:346-351 In defence of digital contact-tracing: human rights, South Korea and Covid-19 International Journal of Pervasive Computing and Communications. 2020;16(4):383-407 Contact tracing apps for self-quarantine in South Korea: rethinking datafication and dataveillance in the COVID-19 age Online Information Review. 2021;45(4):810-829 The characteristics of COVID-19 transmission from case to high-risk contact, a statistical analysis from contact tracing data EClinicalMedicine. 2020;27:100543 Modeling the effects of contact tracing on COVID-19 transmission Advances in Difference Equations. 2020;2020(1): Digital Contact Tracing in South Korea Inference: International Review of Science. 2020;5(2): IEF2C: A novel AI-powered framework for suspected COVID-19 patient detection and contact tracing in smart cities . 2020; |
