Yi Song

Ms. Yi Song

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 December 2022 in Pathogens
Verified
Journal Article
Open access
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Rabeh El-SheshenyRabeh El-Shesheny
Rabeh El-Shesheny
YMYassmin Moatasim
Yassmin Moatasim
SMSara H. Mahmoud
Sara H. Mahmoud
YSYi Song
Yi Song
ATAhmed El Taweel
Ahmed El Taweel
NCNational Centre
National Centre
Clade 2.3.4.4 H5Nx influenza viruses have further diversified into several subclades. Sub-clade 2.3.4.4b H5N1 viruses have been widely circulating in wild birds and detected in Europe, Africa, Asia, and North America since October 2020. In this study, we report the first detection of highly pathogenic avian influenza H5N1 clade 2.3.4.4b viruses in wild birds and domestic ducks from live bird markets in Egypt. Phylogenetic analysis revealed that the Egyptian H5N1 virus retained the genomic composition of Eurasian strains. Mutations in the viral proteins associated with zoonotic potential and pathogenicity were detected in Egyptian isolates. Egypt is considered a hot spot for the evolution of the influenza virus, so active surveillance of avian influenza viruses in Egypt is warranted.

27 August 2021 in JMIR Infodemiology
Verified
Journal Article
Open access
LLLeesa K. Lin
Leesa K. Lin
YSYi Song
Yi Song
QWQian Wang
Qian Wang
JPJialu Pu
Jialu Pu
FSFiona Yueqian Sun
Fiona Yueqian Sun
ZHZhiyuan Hou
Zhiyuan Hou
Background: Massive community-wide testing has become the cornerstone of management strategies for the COVID-19 pandemic. Objective: This study was a comparative analysis between the United Kingdom and China, which aimed to assess public attitudes and uptake regarding COVID-19 testing, with a focus on factors of COVID-19 testing hesitancy, including effectiveness, access, risk perception, and communication. Methods: We collected and manually coded 3856 UK tweets and 9299 Chinese Sina Weibo posts mentioning COVID-19 testing from June 1 to July 15, 2020. Adapted from the World Health Organization’s 3C Model of Vaccine Hesitancy, we employed social listening analysis examining key factors of COVID-19 testing hesitancy (confidence, complacency, convenience, and communication). Descriptive analysis, time trends, geographical mapping, and chi-squared tests were performed to assess the temporal, spatial, and sociodemographic characteristics that determine the difference in attitudes or uptake of COVID-19 tests. Results: The UK tweets demonstrated a higher percentage of support toward COVID-19 testing than the posts from China. There were much wider reports of public uptake of COVID-19 tests in mainland China than in the United Kingdom; however, uncomfortable experiences and logistical barriers to testing were more expressed in China. The driving forces for undergoing COVID-19 testing were personal health needs, community-wide testing, and mandatory testing policies for travel, with major differences in the ranking order between the two countries. Rumors and information inquiries about COVID-19 testing were also identified. Conclusions: Public attitudes and acceptance toward COVID-19 testing constantly evolve with local epidemic situations. Policies and information campaigns that emphasize the importance of timely testing and rapid communication responses to inquiries and rumors, and provide a supportive environment for accessing tests are key to tackling COVID-19 testing hesitancy and increasing uptake.

5 April 2021 in Journal of Medical Internet Research
Verified
Journal Article
Open access
XZXinyu Zhou
Xinyu Zhou
YSYi Song
Yi Song
HJHao Jiang
Hao Jiang
QWQian Wang
Qian Wang
ZQZhiqiang Qu
Zhiqiang Qu
LLLeesa K. Lin
Leesa K. Lin
Background: COVID-19 cases resurged worldwide in the second half of 2020. Not much is known about the changes in public responses to containment measures from the initial outbreak to resurgence. Monitoring public responses is crucial to inform policy measures to prepare for COVID-19 resurgence. Objective: This study aimed to assess and compare public responses to containment measures during the initial outbreak and resurgence of COVID-19 in China. Methods: We curated all COVID-19–related posts from Sina Weibo (China’s version of Twitter) during the initial outbreak and resurgence of COVID-19 in Beijing, China. With a Python script, we constructed subsets of Weibo posts focusing on 3 containment measures: lockdown, the test-trace-isolate strategy, and suspension of gatherings. The Baidu open-source sentiment analysis model and latent Dirichlet allocation topic modeling, a widely used machine learning algorithm, were used to assess public engagement, sentiments, and frequently discussed topics on each containment measure. Results: A total of 8,985,221 Weibo posts were curated. In China, the containment measures evolved from a complete lockdown for the general population during the initial outbreak to a more targeted response strategy for high-risk populations during COVID-19 resurgence. Between the initial outbreak and resurgence, the average daily proportion of Weibo posts with negative sentiments decreased from 57% to 47% for the lockdown, 56% to 51% for the test-trace-isolate strategy, and 55% to 48% for the suspension of gatherings. Among the top 3 frequently discussed topics on lockdown measures, discussions on containment measures accounted for approximately 32% in both periods, but those on the second-most frequently discussed topic shifted from the expression of negative emotions (11%) to its impacts on daily life or work (26%). The public expressed a high level of panic (21%) during the initial outbreak but almost no panic (1%) during resurgence. The more targeted test-trace-isolate measure received the most support (60%) among all 3 containment measures in the initial outbreak, and its support rate approached 90% during resurgence. Conclusions: Compared to the initial outbreak, the public expressed less engagement and less negative sentiments on containment measures and were more supportive toward containment measures during resurgence. Targeted test-trace-isolate strategies were more acceptable to the public. Our results indicate that when COVID-19 resurges, more targeted test-trace-isolate strategies for high-risk populations should be promoted to balance pandemic control and its impact on daily life and the economy.

11 December 2025 in Frontiers in Psychology
Verified
Journal Article
Open access
PDF file
JHJingya Hao
Jingya Hao
CPCristina M Pulido
Cristina M Pulido
YSYi Song
Yi Song
Introduction: Digitalization has reshaped everyday life while creating new privacy and security risks, which are particularly acute for middle-aged and older adults who entered the digital era relatively late. This study examines how Chinese middle-aged and elderly individuals perceive digital privacy risks and navigate the tension between privacy protection and everyday digital participation under digital stress. Methods: Six focus group discussions were conducted with 25 Chinese participants aged 45 and above, and the transcripts were analyzed using inductive qualitative content analysis. Results: Findings reveal that while older adults show a high level of privacy awareness, their protective behaviors are shaped by culture, gaps in digital literacy, and structural dependence on digital infrastructures. Under digital stress, these constraints give rise to a privacy paradox in which individuals remain vigilant yet make strategic compromises to sustain digital participation. Discussion: The findings suggest that the privacy paradox among Chinese middle-aged and elderly users is less an attitudinal inconsistency than a structural dilemma shaped by cultural norms, digital literacy gaps, and institutional dependence on digital infrastructures, highlighting the need for supportive designs and policies that reduce digital stress and strengthen privacy protection capabilities in later life.


27 January 2026 in Nature Microbiology
Verified
Journal Article
Closed access
PDF file
YYYongtao Ye
Yongtao Ye
HSHuiping Shuai
Huiping Shuai
YSYi Song
Yi Song
MSMarcus Ho-Hin Shum
Marcus Ho-Hin Shum
DSDavid K. Smith
David K. Smith
TLTommy Tsan-Yuk Lam
Tommy Tsan-Yuk Lam