Siqi Cao
Biographic Data
| ID | 9848474 |
|---|---|
| NAME | Siqi Cao |
| GIVEN NAMES | Siqi |
| FAMILY NAME | Cao |
| SIGNATURE | CAO S |
| AFFILIATIONS | University of Shanghai for Science and Technology |
| ORCID | 0000-0002-9517-784X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Diachronic Investigation of Individual Differences and Writing Quality in Data-Driven Learning
This study examined variation in learners’ individual differences in data-driven learning, including foreign language enjoyment and anxiety, engagement, and autonomy, as well as learners’ writing quality and the impact of these individual differences on writing quality. Using a longitudinal mixed-methods design, this study tracked changes in the individual differences and writing quality of 15 English-major English-as-a-foreign-language undergrad…
Analysis of road vulnerability in traditional villages under fire scenarios based on multi-layer network framework
Fires in wooden building cluster within traditional villages and towns frequently cause road blockages, significantly hindering evacuation and rescue operations. However, most existing research examines buildings or road networks independently, neglecting the critical coupling effects within the integrated “building cluster fire–road system”. To address this gap, this study proposes a vulnerability analysis method for road networks based on coupl…
Policy choices for Shanghai responding to challenges of Omicron
Background: A new wave of Coronavirus disease 2019 (COVID-19) infection driven by Omicron BA.2 subvariant hit Shanghai end of February 2020. With higher transmissibility and milder symptoms, the daily new confirmed cases have soared to more than 20 K within one and a half months. The greatest challenge of Omicron spreading is that the rapidly surging number of infected populations overwhelming the healthcare system. What policy is effective for h…
Which Matters More in Fighting Covid-19—Government Policy or Community Participation
Objective: As a heavily populated megacity, Shanghai faces major epidemic risks. However, Shanghai's control of COVID-19 has been successful owing to both the strict government policy and wide community participation. Here, we investigated the impact of these stakeholders and examined who played a major role across different epidemic stages. Design: We extended the classic susceptible-exposed-infectious-recovered (SEIR) model considering the hete…
Optimizing national border reopening policies in the Covid-19 pandemic
Objective: After emergence of the COVID-19 pandemic and subsequent restrictions, countries worldwide have sought to reopen as quickly as possible. However, reopening involves the risk of epidemic rebound. In this study, we investigated the effective policy combination to ensure safe reopen. Methods: On the basis of the classical SEIR epidemic model, we constructed a COVID-19 system dynamics model, incorporating vaccination, border screening, and …
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Policy choices for Shanghai responding to challenges of Omicron
Background: A new wave of Coronavirus disease 2019 (COVID-19) infection driven by Omicron BA.2 subvariant hit Shanghai end of February 2020. With higher transmissibility and milder symptoms, the daily new confirmed cases have soared to more than 20 K within one and a half months. The greatest challenge of Omicron spreading is that the rapidly surging number of infected populations overwhelming the healthcare system. What policy is effective for h…
Which Matters More in Fighting Covid-19—Government Policy or Community Participation
Objective: As a heavily populated megacity, Shanghai faces major epidemic risks. However, Shanghai's control of COVID-19 has been successful owing to both the strict government policy and wide community participation. Here, we investigated the impact of these stakeholders and examined who played a major role across different epidemic stages. Design: We extended the classic susceptible-exposed-infectious-recovered (SEIR) model considering the hete…
Optimizing national border reopening policies in the Covid-19 pandemic
Objective: After emergence of the COVID-19 pandemic and subsequent restrictions, countries worldwide have sought to reopen as quickly as possible. However, reopening involves the risk of epidemic rebound. In this study, we investigated the effective policy combination to ensure safe reopen. Methods: On the basis of the classical SEIR epidemic model, we constructed a COVID-19 system dynamics model, incorporating vaccination, border screening, and …
A Diachronic Investigation of Individual Differences and Writing Quality in Data-Driven Learning
This study examined variation in learners’ individual differences in data-driven learning, including foreign language enjoyment and anxiety, engagement, and autonomy, as well as learners’ writing quality and the impact of these individual differences on writing quality. Using a longitudinal mixed-methods design, this study tracked changes in the individual differences and writing quality of 15 English-major English-as-a-foreign-language undergrad…
Analysis of road vulnerability in traditional villages under fire scenarios based on multi-layer network framework
Fires in wooden building cluster within traditional villages and towns frequently cause road blockages, significantly hindering evacuation and rescue operations. However, most existing research examines buildings or road networks independently, neglecting the critical coupling effects within the integrated “building cluster fire–road system”. To address this gap, this study proposes a vulnerability analysis method for road networks based on coupl…
COVID-19 epidemiological studies (3 works) · Disease (3 works) · Medicine (3 works) · Virology (2 works) · Zoonotic diseases and public health (2 works) · 2019-20 coronavirus outbreak (1 work) · Asymptomatic (1 work) · Autonomy (1 work) · Betacoronavirus (1 work) · Bioinformatics (1 work)