SciELO - Scientific Electronic Library Online

 
vol.16Narratives about the process of recovering from addiction: the perspective of family members attending care servicesThe emergence of diabetes in a Tapiete community of Salta: gender, ethnicity and relations with the health system author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Salud colectiva

Print version ISSN 1669-2381On-line version ISSN 1851-8265

Abstract

VALOIS-SANTOS, Naide Teodósio et al. Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil. Salud colect. [online]. 2020, vol.16, e2524. ISSN 1669-2381.  http://dx.doi.org/10.18294/sc.2020.2524.

This study analyzes the spatial dynamics of drug users’ recruitment chains in the context of a respondent-driven sampling (RDS) study in the city of Recife, Brazil. The purpose is to understand the geographic bottlenecks, influenced by social geography, which have been a major challenge for RDS-based studies. Temporo-spatial analysis was used. Sequential maps depicted the dynamics of the recruiting process, considering neighborhood of residence and/or places of drug use. Poisson regression was fitted to model the recruiting rate by neighborhood or residence and/or pace of drug use, and the different neighborhoods’ demographics. The distance between neighborhood of residence and/or place of drug use and the assessment center was negatively associated with recruitment. There was a positive association between the proportion of the population living in informal settings and the recruiting rate per neighborhood of residence and/or place of drug use. Recruitment chains depend on the social geography and demographics of the population. Studies should incorporate seeds from as many neighborhoods as possible, and more than one assessment center should be utilized.

Keywords : Drug Users; Vulnerable Populations; Social Networks; Geographic Information Systems; Brazil.

        · abstract in Spanish     · text in English | Spanish     · English ( pdf ) | Spanish ( pdf )