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Correction: Medkour et al. Adenovirus Infections in African Humans and Wild Non-Human Primates: Great Diversity and Cross-Species Transmission. <i>Viruses</i> 2020, <i>12</i>, 657.

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The Niakhar Social Networks and Health Project.

Valerie Delaunay1, Laetitia Douillot2, Steven Rytina3

  • 1LPED, IRD, Aix-Marseille Université, France.

Methodsx
|August 22, 2019
PubMed
Summary

The Niakhar Social Networks and Health Project (NSNHP) improves health behavior research by addressing survey limitations. This study enhances understanding of social networks and health outcomes in rural Senegal.

Keywords:
DemographyPublic healthSocial network surveySocial networksSurvey methodology

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Area of Science:

  • Social Epidemiology
  • Medical Anthropology
  • Network Science

Background:

  • Conventional survey methods for social network data collection present fundamental problems.
  • Understanding the association between social network structures and health behaviors is crucial but methodologically constrained.
  • Previous research has limitations in accurately capturing social network dynamics and their impact on health.

Purpose of the Study:

  • To present the design and implementation of the Niakhar Social Networks and Health Project (NSNHP).
  • To improve inferences regarding the association between social network structures/processes and health behaviors/outcomes.
  • To overcome methodological constraints in conventional social network data collection.

Main Methods:

  • A large, mixed-methods project combining qualitative and quantitative data.
  • Fielded in collaboration with an ongoing demographic and health surveillance system in rural Senegal.
  • Includes qualitative data on social association dimensions, health ideologies, and behaviors, alongside two panels of a new social network survey and supplementary datasets.

Main Results:

  • The NSNHP provides a longitudinal social network survey linked to pre-existing surveillance data.
  • The project addresses fundamental methodological constraints inherent in previous social network data collection.
  • Enables advanced social network analyses of health beliefs, behaviors, and outcomes.

Conclusions:

  • The NSNHP offers a robust framework for studying social networks and health.
  • Improved data collection methods enhance the validity of network analyses in health research.
  • The project facilitates a deeper understanding of how social structures influence health in rural settings.