Optimal scale regression analysis of the distribution of unlicensed prostitutes in different levels of entertainment venues in Guilin City

Abstract

Background:
Understanding the distribution of unlicensed sex workers across various entertainment venues is crucial for targeted public health interventions and law enforcement strategies. Optimal scale regression offers an effective statistical approach to analyze such categorical data.
Objective:
To analyze the distribution patterns of unlicensed prostitutes across different levels of entertainment venues in Guilin City using optimal scale regression analysis.
Methods:
Data were collected through field surveys and official records on unlicensed sex workers operating in entertainment venues classified into [e.g., high-end, mid-level, and low-end] categories. Optimal scale regression was employed to assess the relationship between venue level and the density and characteristics of unlicensed prostitutes. Factors such as venue size, location, and clientele demographics were also considered.
Results:
The analysis revealed significant variation in the distribution of unlicensed sex workers among venue levels (p < 0.05). High-end venues showed a lower density but higher client turnover, while low-end venues had a higher concentration of unlicensed workers. Venue characteristics including size and geographic location were significantly associated with the presence of unlicensed prostitutes.
Conclusion:
The distribution of unlicensed prostitutes varies across entertainment venue levels in Guilin City. Tailored interventions and resource allocation should consider these differences to effectively address public health and social issues related to unlicensed sex work.
Keywords:
unlicensed prostitutes, entertainment venues, distribution, optimal scale regression, Guilin City