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Sampling strategy of an epidemiological survey using a satellite image program.

Ticiane de Góes Mário Ferreira1, José Mariano da Rocha1, Silvia Cardoso de David2

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This study used satellite imagery for a multistage probability sampling strategy in a Brazilian rural area. The validated methods ensure reliable data for oral health surveillance and policy improvements.

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Area of Science:

  • Epidemiology
  • Public Health
  • Oral Health Research

Background:

  • Epidemiological surveys require robust sampling strategies for accurate population health data.
  • Geospatial technologies like satellite imagery offer novel approaches to defining survey areas.
  • Previous oral health studies may have limitations in sampling precision in rural settings.

Purpose of the Study:

  • To detail a multistage probability sampling methodology for an epidemiological survey.
  • To demonstrate the utility of satellite images in defining epidemiological survey areas.
  • To assess oral health indicators in a rural Brazilian population.

Main Methods:

  • A multistage probability sample of 688 individuals (aged 15+) from rural Rosário do Sul, Brazil, was selected.
  • Data collection included questionnaires, clinical oral examinations, anthropometric measurements, and biological sample collection.
  • Satellite images were utilized for the delimitation of epidemiological areas within the study region.

Main Results:

  • The survey successfully examined 63.3% (688/1087) of the eligible population.
  • Demographic data (age, sex, skin color) were compared with the 2010 census to validate the sampling strategy.
  • The sampling approach was deemed effective in representing the target population.

Conclusions:

  • The integration of satellite imagery in area delimitation enhances the quality of epidemiological estimates.
  • The validated sampling strategy supports reliable oral health surveillance.
  • Findings can inform and improve public health policies related to oral health.