Yuehui Jia
Biographic Data
| ID | 9024183 |
|---|---|
| NAME | Yuehui Jia |
| GIVEN NAMES | Yuehui |
| FAMILY NAME | Jia |
| SIGNATURE | JIA Y |
| AFFILIATIONS | Qiqihar Medical University |
| ORCID | 0000-0002-0098-5941 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating migration into cancer geography: Spatial clustering of five digestive cancer burden in China
Introduction China’s digestive cancer landscape presents a dual challenge, the significant geographic disparity and the distorting effect of large-scale internal migration on burden estimation. The household-registered population (HRP)-based surveillance system does not fully capture the impact of large-scale internal migration, and county-level spatial evidence that accounts for migration remains limited. This study aimed to characterize the spa…
Effects of different iodine supplementation strategies on thyroid function in iodine-deficient pregnant women: A meta-analysis
Background This study aimed to clarify the association between iodine supplementation and thyroid function indices, as well as secondary outcomes including thyroglobulin (Tg) and thyroid volume (TV), in iodine-deficient pregnant women, accounting for different supplementation regimens and trimesters. Methods Chinese and English literature on iodine supplementation in iodine-deficient pregnant women and its associations with thyroid function indic…
Willingness of medical students to work on the Covid-19 frontline during the pandemic in China: A nationwide population-based cross-sectional study
Background: The World Health Organization declared that coronavirus disease 2019 (COVID-19) constitutes an international public health emergency, which has strained health resources. In this study, we aimed to understand medical students' willingness to join the workforce fighting against the COVID-19 pandemic and identify factors associated with their decisions. Methods: We conducted a nationwide cross-sectional study using the Wen-Juan-Xing pla…
No prominent works on this page.
Willingness of medical students to work on the Covid-19 frontline during the pandemic in China: A nationwide population-based cross-sectional study
Background: The World Health Organization declared that coronavirus disease 2019 (COVID-19) constitutes an international public health emergency, which has strained health resources. In this study, we aimed to understand medical students' willingness to join the workforce fighting against the COVID-19 pandemic and identify factors associated with their decisions. Methods: We conducted a nationwide cross-sectional study using the Wen-Juan-Xing pla…
Integrating migration into cancer geography: Spatial clustering of five digestive cancer burden in China
Introduction China’s digestive cancer landscape presents a dual challenge, the significant geographic disparity and the distorting effect of large-scale internal migration on burden estimation. The household-registered population (HRP)-based surveillance system does not fully capture the impact of large-scale internal migration, and county-level spatial evidence that accounts for migration remains limited. This study aimed to characterize the spa…
Effects of different iodine supplementation strategies on thyroid function in iodine-deficient pregnant women: A meta-analysis
Background This study aimed to clarify the association between iodine supplementation and thyroid function indices, as well as secondary outcomes including thyroglobulin (Tg) and thyroid volume (TV), in iodine-deficient pregnant women, accounting for different supplementation regimens and trimesters. Methods Chinese and English literature on iodine supplementation in iodine-deficient pregnant women and its associations with thyroid function indic…
Population (2 works) · 2019-20 coronavirus outbreak (1 works) · Cancer (1 works) · Cancer registry (1 works) · China (1 works) · Confidence interval (1 works) · COVID-19 and Mental Health (1 works) · COVID-19 epidemiological studies (1 works) · Cross-sectional study (1 works) · Data-Driven Disease Surveillance (1 works)