Bingqing Tan

Bio: Bingqing Tan is an academic researcher from Wuhan University. The author has contributed to research in topics: Social deprivation & Public health. The author has an hindex of 2, co-authored 2 publications receiving 72 citations.

Area Social Deprivation and Public Health: Analyzing the Spatial Non-stationary Associations Using Geographically Weighed Regression

Abstract: The prevalence of non-communicable chronic diseases (NCDs) worldwide poses an alarming threat to public health. Recent literature has embraced the opinion that incorporating the social factors should advance the understanding of NCDs prevalence. In this context, examining the NCDs prevalence in association with area social deprivation should provide critical implications for coping with public health risks. However, few empirical studies have examined this specific issue, especially in the developing countries. Using the principal component analysis, an area social deprivation index (ASDI) is established for the Shenzhen city (China) by integrating ten indicators from four dimensions: education, housing, socially disadvantaged population, and economically disadvantaged population. The geographically weighted regression (GWR) is employed to analyze the associations between ASDI and the incidence rate of three prevalent NCDs at district scale. Spatial non-stationary relationships are identified for the three diseases. More specifically, prevalence of the three diseases is all positively correlated with the ASDI. Strength of the associations presents the geography that it generally decreases from the central city to the suburb. These findings suggest that greater possibility of NCDs prevalence would be expected in districts with higher social deprivation. Besides, the impact of social deprivation on NCDs prevalence is much stronger in the central city. The spatial stationarity can facilitate the formulation of location-specific preventive measurements. This paper is believed to provide an innovative insight for social indicators research.

Area Deprivation and Liver Cancer Prevalence in Shenzhen, China: A Spatial Approach Based on Social Indicators

Abstract: Cancer has become an alarming threat to human health and well-being worldwide Examining the social determinants of cancer prevalence should effectively inform the practices and strategies on cancer treatment and prevention However, rather few studies have conducted in this regard for developing countries This paper attempts to characterize the association between area deprivation and liver cancer prevalence using a case of Shenzhen, China Data from 2009 to 2011 provided by Shenzhen’s Health Information Center are used to calculate the incidence rate of liver cancer at district level An area deprivation index (ADI) at district level is established by integrating 13 indicators of 5 domains (income, employment, education, housing and demography) The weight for each indicator is determined by two typical subjective methods (AHP and fuzzy AHP) and two common objective methods (Entropy and Coefficient Variation) Quantitative comparisons indicate that the four methods are highly consistent though they assign different weight to the indicators Spatial lag regression identifies significantly positive linear relationships between ADIs and liver cancer incidence rate from 2009 and 2010 It suggests that greater possibility of liver cancer prevalence would be expected in districts of higher social deprivation The results also denote that the obtained relationships are insensitive to weight determination method and temporal dimension Our study demonstrates that spatial autocorrelation should be incorporated for better understanding the association between area deprivation and liver cancer prevalence at district level This paper provides some new insights into social indicators research

The 15-Minute Walkable Neighborhoods: Measurement, Social Inequalities and Implications for Building Healthy Communities in Urban China

Abstract: A sufficient number of studies have highlighted that walkable neighborhoods can help to reduce the risk of obesity and noncommunicable diseases (NCDs). The Chinese government advocates the 15-minute (15-min) walkable neighborhoods to provide citizens with 15-min walkable access to basic public services, and ultimately to improve walking behavior and overall health. Following the Walk Score metric, this paper proposes a modified method for measuring 15-min walkable neighborhoods and applies it to Shanghai, China. Based on amenity access, the assessment considers walking demands of different pedestrian groups (i.e., the entire population, children, adults, and seniors), the amenity attributes (scale and category), and the real traffic conditions. Spatial regression is further performed to determine whether significant associations exist between community socioeconomic status and 15-min walkable neighborhoods score. Results show clear variations in 15-min walkable neighborhoods score for different pedestrian groups. Regarding the overall 15-min walkable neighborhoods, highly walkable communities are primarily concentrated in the central areas; and that poorly walkable communities are dispersed in rural areas. Senior-concentrated and adult-concentrated communities are more likely to present higher walkability, while children-concentrated communities exhibit lower walkability. Moreover, communities with inferior walkability are characterized by a high proportion of floating population (nonresidents). This research provides future studies with references for evaluating 15-min walkable neighborhoods. Social inequalities in 15-min walkable neighborhoods should be emphasized, and interventions in planning implementation for building healthy communities in China should be targeted.

A review of urban physical environment sensing using street view imagery in public health studies

Abstract: Urban physical environments are the physical settings and built environments in neighbourhoods and cities which provide places for human activities. Evidence suggests that there are substantial ass...