Antibiotic Resistance Survey Data from 254 Respondents in Bangladesh

254 survey responses from Bangladesh analyzed with Structural Equation Modeling reveal economic pressures, inadequate diagnostics, and cultural misconceptions as key drivers of antibiotic misuse. The 9.5 KB Excel file contains primary data from a cross-sectional study grounded in the Health Belief Model and Ecological Systems Theory. Author Abdullah Al Rakib published the dataset on figshare in May 2026.

Use Cases

• Modeling relationships between economic incentives and antibiotic misuse based on survey variables.
• Analyzing the influence of healthcare infrastructure and diagnostic uncertainty on resistance behaviors.
• Studying the impact of sociocultural beliefs on public health outcomes related to antimicrobial resistance.

Strengths

• Data from 254 primary survey respondents provides a specific sample size.
• Analysis employed Structural Equation Modeling with Smart-PLS 4.0, a method noted for handling non-normal data.
• The dataset is grounded in established theoretical frameworks: the Health Belief Model and Ecological Systems Theory.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset's 9.5 KB size suggests a very limited scope of variables or records.
• Freshness should be verified as the last update date is in the future (2026-05-18).

Provenance

Source

figshare

Collection Method

Primary survey data collected from respondents in Bangladesh.

Freshness

Last updated 2026-05-18 17:40:45; freshness should be verified.

Geography

Bangladesh