Xiaoli Tuo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Xiaoli Tuo has a total of 34 co-authors. Here are the top co-authors by number of shared publications:
C. Chen
Chinese Acad Med Sci, Chengdu Workstn Emerging Infect Dis Control & Pre, Chengdu 610000, Sichuan, Peoples R China
1 shared publicationC. Wang
Chinese Acad Med Sci, Chengdu Workstn Emerging Infect Dis Control & Pre, Chengdu 610000, Sichuan, Peoples R China
1 shared publicationChinese Center For Disease Control And Prevention Chinese Field Epidemiology Training Program
1 shared publicationHaixia Luo
Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China
1 shared publicationHeng Chen
Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
1 shared publication- Jiali Deng
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
1 shared publication
Latest Publications
- Open Access
- 15 December 2021
- Published by Frontiers Media SA in Frontiers in Public Health
- Vol. 9, 645798
Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China
Introduction: Close contacts have become a potential threat to the spread of coronavirus disease 2019 (COVID-19). The purpose of this study was to understand the epidemiological characteristics of close contacts of confirmed or suspected cases of COVID-19 in the surrounding cities of Chengdu, China, so as to provide a basis for the management strategy of close contacts.Methods: Close contacts were determined through epidemiological investigation of indicated cases, and relevant information was entered in the “Close Contact Information Management System.” Retrospective data of close contacts from January 22 to May 1, 2020 were collected and organized. Meanwhile, the contact mode, isolation mode, and medical outcome of close contacts were descriptively analyzed.Results: A total of 986 close contacts were effectively traced, with an average age of (36.69 ± 16.86) years old, who were mainly distributed in cities of eastern Chengdu. The frequency of contact was mainly occasional contact, 80.42% of them were relatives and public transportation personnel. Besides, the time of tracking close contacts and feedback was (10.64 ± 5.52) and (7.19 ± 6.11) days, respectively. A total of seven close contacts were converted to confirmed cases.Conclusions: Close contacts of COVID-19 have a risk of invisible infection. Early control of close contacts may be helpful to control the epidemic of COVID-19.
- 15 December 2021
- Published by Frontiers Media SA in Frontiers in Public Health
- Vol. 9, 645798
Open AccessTracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China
Introduction: Close contacts have become a potential threat to the spread of coronavirus disease 2019 (COVID-19). The purpose of this study was to understand the epidemiological characteristics of close contacts of confirmed or suspected cases of COVID-19 in the surrounding cities of Chengdu, China, so as to provide a basis for the management strategy of close contacts.Methods: Close contacts were determined through epidemiological investigation of indicated cases, and relevant information was entered in the “Close Contact Information Management System.” Retrospective data of close contacts from January 22 to May 1, 2020 were collected and organized. Meanwhile, the contact mode, isolation mode, and medical outcome of close contacts were descriptively analyzed.Results: A total of 986 close contacts were effectively traced, with an average age of (36.69 ± 16.86) years old, who were mainly distributed in cities of eastern Chengdu. The frequency of contact was mainly occasional contact, 80.42% of them were relatives and public transportation personnel. Besides, the time of tracking close contacts and feedback was (10.64 ± 5.52) and (7.19 ± 6.11) days, respectively. A total of seven close contacts were converted to confirmed cases.Conclusions: Close contacts of COVID-19 have a risk of invisible infection. Early control of close contacts may be helpful to control the epidemic of COVID-19.
- Open Access
- 13 September 2021
- Published by Elsevier in Public Health
- Vol. 199, 107-109
A survey of a COVID-19 cluster of charter flight importation
- 13 September 2021
- Published by Elsevier in Public Health
- Vol. 199, 107-109
Open AccessA survey of a COVID-19 cluster of charter flight importation
- Open Access
- 1 January 2021
- Published by Chinese Center for Disease Control and Prevention in China CDC Weekly
- Vol. 3 (25) , 544-546
Three Cases of COVID-19 Variant Delta With and Without Vaccination — Chengdu City, Sichuan Province, April–May, 2021
- 1 January 2021
- Published by Chinese Center for Disease Control and Prevention in China CDC Weekly
- Vol. 3 (25) , 544-546
Open AccessThree Cases of COVID-19 Variant Delta With and Without Vaccination — Chengdu City, Sichuan Province, April–May, 2021