Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil
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-base...
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| Format: | Article |
| Language: | English |
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Instituto de Salud Colectiva, Universidad Nacional de Lanús
2020-09-01
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| Series: | Salud Colectiva |
| Subjects: | |
| Online Access: | http://revistas.unla.edu.ar/saludcolectiva/article/view/2524 |
| _version_ | 1818388432595976192 |
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| author | Naíde Teodósio Valois-Santos Roberta Pereira Niquini Sandro Sperandei Leonardo Soares Bastos Neilane Bertoni Ana Maria de Brito Francisco Inácio Bastos |
| author_facet | Naíde Teodósio Valois-Santos Roberta Pereira Niquini Sandro Sperandei Leonardo Soares Bastos Neilane Bertoni Ana Maria de Brito Francisco Inácio Bastos |
| author_sort | Naíde Teodósio Valois-Santos |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T04:25:45Z |
| format | Article |
| id | doaj.art-b60d568b969e46038c5a94ab7dbfec9e |
| institution | Directory Open Access Journal |
| issn | 1669-2381 1851-8265 |
| language | English |
| last_indexed | 2024-12-14T04:25:45Z |
| publishDate | 2020-09-01 |
| publisher | Instituto de Salud Colectiva, Universidad Nacional de Lanús |
| record_format | Article |
| series | Salud Colectiva |
| spelling | doaj.art-b60d568b969e46038c5a94ab7dbfec9e2022-12-21T23:17:12ZengInstituto de Salud Colectiva, Universidad Nacional de LanúsSalud Colectiva1669-23811851-82652020-09-0116e2524e252410.18294/sc.2020.25242524Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in BrazilNaíde Teodósio Valois-Santos0Roberta Pereira Niquini1Sandro Sperandei2Leonardo Soares Bastos3Neilane Bertoni4Ana Maria de Brito5Francisco Inácio Bastos6Instituto Aggeu Magalhães, Fundação Oswaldo CruzInstituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo CruzInstituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo CruzLondon School of Hygiene and Tropical MedicineInstituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo CruzInstituto Aggeu Magalhães, Fundação Oswaldo CruzInstituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo CruzThis 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.http://revistas.unla.edu.ar/saludcolectiva/article/view/2524drug usersvulnerable populationssocial networksgeographic information systemsbrazil |
| spellingShingle | Naíde Teodósio Valois-Santos Roberta Pereira Niquini Sandro Sperandei Leonardo Soares Bastos Neilane Bertoni Ana Maria de Brito Francisco Inácio Bastos Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil Salud Colectiva drug users vulnerable populations social networks geographic information systems brazil |
| title | Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil |
| title_full | Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil |
| title_fullStr | Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil |
| title_full_unstemmed | Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil |
| title_short | Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil |
| title_sort | reassessing geographic bottlenecks in a respondent driven sampling based multicity study in brazil |
| topic | drug users vulnerable populations social networks geographic information systems brazil |
| url | http://revistas.unla.edu.ar/saludcolectiva/article/view/2524 |
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