Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil

Naíde Teodósio Valois-Santos; Roberta Pereira Niquini; Sandro Sperandei; Leonardo Soares Bastos; Neilane Bertoni; Ana Maria de Brito; Francisco Inácio Bastos

doi:10.18294/sc.2020.2524

Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil

Naíde Teodósio Valois-Santos Public health physician. PhD in Collective Health. Associate Researcher, Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Pernambuco, Brazil. , Roberta Pereira Niquini Statistician. PhD in Epidemiology in Public Health. Professor, Instituto Federal de Educação, Ciência e Tecnologia, Rio de Janeiro, Brazil. Collaborating Researcher, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil. , Sandro Sperandei Statistician. PhD in Computational Biology and Information Systems. PhD in Epidemiology, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil. , Leonardo Soares Bastos Estadístico. Doctor en Estadística. Investigador Asociado en Salud Pública, Programa de Computação
Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil. Research Fellow, Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, England. , Neilane Bertoni Statistician. PhD in Epidemiology in Public Health. Biostatistician, Instituto Nacional do Câncer, Ministério da Saúde do Brasil. Collaborating Researcher, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil. , Ana Maria de Brito Public health physician. Tenured Researcher in Public Health, Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Pernambuco, Brazil. , Francisco Inácio Bastos Public health physician. Tenured Researcher in Public Health, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.

Received: 31 August 2019, Accepted: 15 July 2020, Published: 27 September 2020

https://doi.org/10.18294/sc.2020.2524 | PMID: 33147401

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Abstract

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 of residence and/or places of drug use, and the different neighborhoods’ demographics. The distance between neighborhood of residence and/or places 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 places 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

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