Shuxiu Hao
Biographic Data
| ID | 9993272 |
|---|---|
| NAME | Shuxiu Hao |
| GIVEN NAMES | Shuxiu |
| FAMILY NAME | Hao |
| SIGNATURE | HAO S |
| AFFILIATIONS | Harbin Medical University |
| ORCID | 0000-0001-7143-6096 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating migration into cancer geography
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…
Migration-adjusted prostate cancer incidence in China
Background: China's internal migration poses major challenges to cancer surveillance systems that rely on household-registered populations (HRP). Excluding migrants can lead to biased incidence estimates and misinformed public health planning. Methods: This study estimated the prostate cancer incidence among the resident population (RP) using a Bayesian integrated nested Laplace approximation with stochastic partial differential equation (INLA-SP…
No prominent works on this page.
Integrating migration into cancer geography
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…
Migration-adjusted prostate cancer incidence in China
Background: China's internal migration poses major challenges to cancer surveillance systems that rely on household-registered populations (HRP). Excluding migrants can lead to biased incidence estimates and misinformed public health planning. Methods: This study estimated the prostate cancer incidence among the resident population (RP) using a Bayesian integrated nested Laplace approximation with stochastic partial differential equation (INLA-SP…
Data-Driven Disease Surveillance (2 works) · Epidemiology (2 works) · Population (2 works) · Cancer (1 work) · Cancer incidence (1 work) · Cancer registry (1 work) · Disease (1 work) · Epidemiology of cancer (1 work) · Geospatial analysis (1 work) · Global Cancer Incidence and Screening (1 work)