Binhui Wang
Biographic Data
| ID | 3635554 |
|---|---|
| NAME | Binhui Wang |
| GIVEN NAMES | Binhui |
| FAMILY NAME | Wang |
| SIGNATURE | WANG B |
| AFFILIATIONS | Jinan University |
| ORCID | 0000-0002-2405-1799 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Covid-19 Related Early Google Search Behavior and Health Communication in the United States: Panel Data Analysis on Health Measures
The COVID-19 outbreak at the end of December 2019 spread rapidly all around the world. The objective of this study is to investigate and understand the relationship between public health measures and the development of the pandemic through Google search behaviors in the United States. Our collected data includes Google search queries related to COVID-19 from 1 January to 4 April 2020. After using unit root tests (ADF test and PP test) to examine …
Another Form of Neighborhood Effect Bias: The Neighborhood Effect Polarization Problem (Nepp)
The neighborhood effect averaging problem (NEAP) points out that the effect and statistical significance of mobility-dependent environmental exposure on health behaviors or outcomes by the residence-based approach might be overestimated compared with the exposure estimates considering daily mobility. NEAP studies, however, are recently only proven in pollution and congestion exposure. The neighborhood effect bias might have another form in other …
Can daily mobility alleviate green inequality from living and working environments
Another Form of Neighborhood Effect Bias: The Neighborhood Effect Polarization Problem (Nepp)
The neighborhood effect averaging problem (NEAP) points out that the effect and statistical significance of mobility-dependent environmental exposure on health behaviors or outcomes by the residence-based approach might be overestimated compared with the exposure estimates considering daily mobility. NEAP studies, however, are recently only proven in pollution and congestion exposure. The neighborhood effect bias might have another form in other …
Can daily mobility alleviate green inequality from living and working environments
Covid-19 Related Early Google Search Behavior and Health Communication in the United States: Panel Data Analysis on Health Measures
The COVID-19 outbreak at the end of December 2019 spread rapidly all around the world. The objective of this study is to investigate and understand the relationship between public health measures and the development of the pandemic through Google search behaviors in the United States. Our collected data includes Google search queries related to COVID-19 from 1 January to 4 April 2020. After using unit root tests (ADF test and PP test) to examine …
Another Form of Neighborhood Effect Bias: The Neighborhood Effect Polarization Problem (Nepp)
The neighborhood effect averaging problem (NEAP) points out that the effect and statistical significance of mobility-dependent environmental exposure on health behaviors or outcomes by the residence-based approach might be overestimated compared with the exposure estimates considering daily mobility. NEAP studies, however, are recently only proven in pollution and congestion exposure. The neighborhood effect bias might have another form in other …
Environmental health (3 works) · Mathematics (3 works) · Medicine (3 works) · Computer Science (2 works) · Geography (2 works) · Urban Transport and Accessibility (2 works) · Beijing (1 works) · Business (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · COVID-19 epidemiological studies (1 works)