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Developing and validating modular surveys for vector-borne diseases: A study protocol.

Skyler Finucane1,2, Alexandria Renault2, Mary H Hayden3

  • 1Department of Entomology and Insect Science, University of Arizona, Tucson, Arizona, United States of America.

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Summary
This summary is machine-generated.

Standardized surveys for vector-borne diseases will improve public health insights. This protocol ensures consistent data collection across the U.S. to better understand public knowledge, attitudes, and practices.

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Area of Science:

  • Public Health
  • Epidemiology
  • Survey Methodology

Background:

  • Vector-borne diseases pose a growing threat in the U.S.
  • Current surveys lack standardization, hindering data comparison.
  • Understanding public knowledge, attitudes, and practices (KAP) is crucial for interventions.

Purpose of the Study:

  • To develop a standardized protocol for creating vector-borne disease KAP survey modules.
  • To ensure uniformity in survey design and structure for comparable data across the U.S.
  • To guide public health professionals and researchers in developing future KAP studies.

Main Methods:

  • A three-phase protocol involving expert workshops, literature reviews, and theoretical frameworks (Health Belief Model, Risks, Attitudes, Norms, Abilities, and Self-Regulation).
  • Expert judge evaluation of survey items for content relevance, representativeness, and quality.
  • Cognitive interviews and surveys with diverse target audiences to ensure module validity and reliability.

Main Results:

  • Development of standardized survey modules for vector-borne disease KAP.
  • Establishment of a rigorous protocol for survey development and validation.
  • Methodology to ensure face validity, reliability, and external validity of survey instruments.

Conclusions:

  • The protocol facilitates the creation of comparable vector-borne disease KAP data nationwide.
  • Standardized surveys will enhance the analysis and interpretation of public perception and practices.
  • Improved data comparability will support more effective public health interventions against vector-borne diseases.