Shiying Yuan
Biographic Data
| ID | 8376118 |
|---|---|
| NAME | Shiying Yuan |
| GIVEN NAMES | Shiying |
| FAMILY NAME | Yuan |
| SIGNATURE | YUAN S |
| AFFILIATIONS | Shanghai Municipal Center For Disease Control Prevention |
| ORCID | 0000-0002-6415-1604 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Divergent surveillance needs and resource allocation for Covid-19 and influenza
Introduction The rapid evolution and symptom overlap of Coronavirus disease 2019 (COVID-19) and influenza challenge the effectiveness of current surveillance and healthcare resource planning. However, comparative evidence regarding their surveillance sensitivity and healthcare burden remains limited, particularly within concurrent community populations that capture the full spectrum of disease severity. Methods To address this gap, data were deri…
Relationship of close contact settings with transmission and infection during the Sars-CoV-2 Omicron BA.2 epidemic in Shanghai
INTRODUCTION: We analysed case-contact clusters during the Omicron BA.2 epidemic in Shanghai to assess the risk of infection of contacts in different settings and to evaluate the effect of demographic factors on the association of infectivity and susceptibility to the Omicron variant. METHODS: Data on the settings and frequency of contact, demographic characteristics and comorbidities of index cases, contacts and secondary cases were analysed. In…
Clinical course and outcomes of critically ill patients with Sars-CoV-2 pneumonia in Wuhan, China
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Clinical course and outcomes of critically ill patients with Sars-CoV-2 pneumonia in Wuhan, China
Relationship of close contact settings with transmission and infection during the Sars-CoV-2 Omicron BA.2 epidemic in Shanghai
INTRODUCTION: We analysed case-contact clusters during the Omicron BA.2 epidemic in Shanghai to assess the risk of infection of contacts in different settings and to evaluate the effect of demographic factors on the association of infectivity and susceptibility to the Omicron variant. METHODS: Data on the settings and frequency of contact, demographic characteristics and comorbidities of index cases, contacts and secondary cases were analysed. In…
Divergent surveillance needs and resource allocation for Covid-19 and influenza
Introduction The rapid evolution and symptom overlap of Coronavirus disease 2019 (COVID-19) and influenza challenge the effectiveness of current surveillance and healthcare resource planning. However, comparative evidence regarding their surveillance sensitivity and healthcare burden remains limited, particularly within concurrent community populations that capture the full spectrum of disease severity. Methods To address this gap, data were deri…
Disease (2 works) · Medicine (2 works) · Public health (2 works) · APACHE II (1 work) · ARDS (1 work) · Biology (1 work) · Cohort (1 work) · Cohort study (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 Clinical Research Studies (1 work)