A small area estimation method for investigating the relationship between public perception of drug problems with neighborhood prognostics: Trends in london between 2012 and 2019

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

The correlation of the public’s perception of drug problems with neighborhood characteristics has rarely been studied. The aim of this study was to investigate factors that correlate with public perceptions in London boroughs using the Mayor’s Office for Policing and Crime (MOPAC) Public Attitude Survey between 2012 and 2019. A subject-specific random effect deploying a Generalized Linear Mixed Model (GLMM) using an Adaptive Gaussian Quadrature method with 10 integration points was applied. To obtain time trends across inner and outer London areas, the GLMM was fitted using a Restricted Marginal Pseudo Likelihood method. The perception of drug problems increased with statistical significance in 17 out of 32 London boroughs between 2012 and 2019. These boroughs were geographically clustered across the north of London. Levels of depriva-tion, as measured by the English Index of Multiple Deprivation, as well as the percentage of local population who were non-UK-born and recorded vehicle crime rates were shown to be positively associated with the public’s perception of drug problems. Conversely, recorded burglary rate was negatively associated with the public’s perception of drug problems in their area. The public are influenced in their perception of drug problems by neighborhood factors including deprivation and visible manifestations of antisocial behavior.

Cite

CITATION STYLE

APA

Sondhi, A., Leidi, A., & Gilbert, E. (2021). A small area estimation method for investigating the relationship between public perception of drug problems with neighborhood prognostics: Trends in london between 2012 and 2019. International Journal of Environmental Research and Public Health, 18(17). https://doi.org/10.3390/ijerph18179016

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free