| Author | Valois-Santos, Naide Teodósio | |
| Author | Niquini, Roberta Pereira | |
| Author | Sperandei, Sandro | |
| Author | Bastos, Leonardo Soares | |
| Author | Bertoni, Neilane | |
| Author | Brito, Ana Maria de | |
| Author | Bastos, Francisco Inácio Pinkusfeld Monteiro | |
| Access date | 2023-07-20T12:36:44Z | |
| Available date | 2023-07-20T12:36:44Z | |
| Document date | 2020 | |
| Citation | VALOIS-SANTOS, Naide Teodósio et al. Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil. Salud Colect, v. 16, p. 1-13, Nov. 2020. | en_US |
| ISSN | 1669-2381 | |
| URI | https://www.arca.fiocruz.br/handle/icict/59691 | |
| Language | eng | en_US |
| Publisher | Universidad Nacional de Lanús | en_US |
| Rights | restricted access | |
| Title | Reassessing geographic bottlenecks in a respondent-driven sampling based multicity study in Brazil | en_US |
| Alternative title | Reevaluación de cuellos de botella geográficos en un estudio multiciudad basado en el método respondent driven sampling en Brasil | en_US |
| Type | Article | |
| DOI | 10.18294/sc.2020.2524 | |
| 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 neigh borhood 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 infor mal 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 popula tion. Studies should incorporate seeds from as many neighborhoods as possible, and more than one assessment center should be utilized. | en_US |
| xmlui.metadata.dc.description.abstractes | Se analiza la dinámica espacial de las cadenas de reclutamiento de consumidores de drogas en un estudio respondent-driven sampling (RDS) en la ciudad de Recife, Brasil. El propósito es comprender los cuellos de botella geográficos, influenciados por la geografía social, que han sido un gran desafío para los estudios basados en RDS. Se utilizó el análisis espacio-temporal. La dinámica del proceso de reclutamiento se presenta en mapas, teniendo en cuenta el barrio de residencia y/o los sitios de consumo de drogas. La regresión de Poisson se ajustó para modelar la tasa de reclutamiento por barrio de residencia y/o sitios de consumo de drogas y las características demográficas de los barrios. La distancia entre el barrio de residencia y/o los sitios de consumo de drogas y el centro de evaluación se asoció negativamente con el reclutamiento. Hubo una asociación positiva entre la proporción de la población que vive en entornos informales y la tasa de reclutamiento por barrio de residencia y/o sitios de consumo de drogas. Las cadenas de reclutamiento dependen de la geografía social y demográfica de la población. Los estudios deben incorporar semillas de reclutamiento de tantos barrios como sea posible, así como más de un centro de evaluación. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil / London School of Hygiene and Tropical Medicine. Centre for the Mathematical Modelling of Infectious Diseases. London, England. | en_US |
| Affilliation | Ministério da Saúde do Brasil. Instituto Nacional do Câncer. Brasília, DF, Brasil / Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Subject | Drug users | en_US |
| Subject | Vulnerable populations | en_US |
| Subject | Social networks | en_US |
| Subject | Geographic Information systems | en_US |
| Subject | Brazil | en_US |
| Subject in Spanish | Consumidores de drogas | en_US |
| Subject in Spanish | Poblaciones vulnerables | en_US |
| Subject in Spanish | Red social | en_US |
| Subject in Spanish | Sistemas de Información geográfica | en_US |
| Subject in Spanish | Brasil | en_US |
| e-ISSN | 1851-8265 | |
| Embargo date | 31/12/2030 | |
| xmlui.metadata.dc.subject.ods | 01 Erradicação da pobreza | |
| xmlui.metadata.dc.subject.ods | 10 Redução das desigualdades | |
