Xiu Wu
Biographic Data
| ID | 3936500 |
|---|---|
| NAME | Xiu Wu |
| GIVEN NAMES | Xiu |
| FAMILY NAME | Wu |
| SIGNATURE | WU X |
| AFFILIATIONS | Texas State University |
| ORCID | 0000-0001-8032-3317 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 22 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Loneliness, social isolation and stroke risk in men and women with and without diabetes
Improved loneliness and social isolation may mitigate excess stroke risk in people with diabetes, particularly in men with diabetes
Case Study on Spatial Mismatch between Multivariate and Student-Teacher Rate in U.S. Public School Districts
An important aspect of educational equity is the balance between students and teachers in the general education system. To address the need for a sustainable, balanced, and reliable supply of high-quality STEM teachers for public school districts, this research aims to illustrate the spatial dynamics of student-teacher balance in the impact of teacher salary, school poverty, transportation, and environmental factors from 2015 to 2020, Data were c…
Determining Association between Lung Cancer Mortality Worldwide and Risk Factors Using Fuzzy Inference Modeling and Random Forest Modeling
Lung cancer remains the leading cause for cancer mortality worldwide. While it is well-known that smoking is an avoidable high-risk factor for lung cancer, it is necessary to identify the extent to which other modified risk factors might further affect the cell's genetic predisposition for lung cancer susceptibility, and the spreading of carcinogens in various geographical zones. This study aims to examine the association between lung cancer mort…
Space-Time Cluster’s Detection and Geographical Weighted Regression Analysis of Covid-19 Mortality on Texas Counties
As COVID-19 run rampant in high-density housing sites, it is important to use real-time data in tracking the virus mobility. Emerging cluster detection analysis is a precise way of blunting the spread of COVID-19 as quickly as possible and save lives. To track compliable mobility of COVID-19 on a spatial-temporal scale, this research appropriately analyzed the disparities between spatial-temporal clusters, expectation maximization clustering (EM)…
Im/Mobility at the US-Mexico Border during the Covid-19 Pandemic
In March 2020, the United States government began a series of measures designed to dramatically restrict immigration as part of its response to the global health crisis caused by the coronavirus pandemic. This included Title 42, which deported asylum seekers immediately and prevented them from applying for asylum. These measures worsened an already precarious situation at the US-Mexico border for an estimated 60,000 asylum seekers who were preven…
Im/Mobility at the US-Mexico Border during the Covid-19 Pandemic
In March 2020, the United States government began a series of measures designed to dramatically restrict immigration as part of its response to the global health crisis caused by the coronavirus pandemic. This included Title 42, which deported asylum seekers immediately and prevented them from applying for asylum. These measures worsened an already precarious situation at the US-Mexico border for an estimated 60,000 asylum seekers who were preven…
Space-Time Cluster’s Detection and Geographical Weighted Regression Analysis of Covid-19 Mortality on Texas Counties
As COVID-19 run rampant in high-density housing sites, it is important to use real-time data in tracking the virus mobility. Emerging cluster detection analysis is a precise way of blunting the spread of COVID-19 as quickly as possible and save lives. To track compliable mobility of COVID-19 on a spatial-temporal scale, this research appropriately analyzed the disparities between spatial-temporal clusters, expectation maximization clustering (EM)…
Im/Mobility at the US-Mexico Border during the Covid-19 Pandemic
In March 2020, the United States government began a series of measures designed to dramatically restrict immigration as part of its response to the global health crisis caused by the coronavirus pandemic. This included Title 42, which deported asylum seekers immediately and prevented them from applying for asylum. These measures worsened an already precarious situation at the US-Mexico border for an estimated 60,000 asylum seekers who were preven…
Determining Association between Lung Cancer Mortality Worldwide and Risk Factors Using Fuzzy Inference Modeling and Random Forest Modeling
Lung cancer remains the leading cause for cancer mortality worldwide. While it is well-known that smoking is an avoidable high-risk factor for lung cancer, it is necessary to identify the extent to which other modified risk factors might further affect the cell's genetic predisposition for lung cancer susceptibility, and the spreading of carcinogens in various geographical zones. This study aims to examine the association between lung cancer mort…
Case Study on Spatial Mismatch between Multivariate and Student-Teacher Rate in U.S. Public School Districts
An important aspect of educational equity is the balance between students and teachers in the general education system. To address the need for a sustainable, balanced, and reliable supply of high-quality STEM teachers for public school districts, this research aims to illustrate the spatial dynamics of student-teacher balance in the impact of teacher salary, school poverty, transportation, and environmental factors from 2015 to 2020, Data were c…
Loneliness, social isolation and stroke risk in men and women with and without diabetes
Improved loneliness and social isolation may mitigate excess stroke risk in people with diabetes, particularly in men with diabetes
Medicine (3 works) · Coronavirus disease 2019 (COVID-19 (2 works) · Environmental health (2 works) · Health disparities and outcomes (2 works) · Mathematics (2 works) · Statistics (2 works) · Biostatistics (1 works) · Cancer (1 works) · Cardiovascular Health and Risk Factors (1 works) · Cartography (1 works)