Sample Characteristics: Survey Data on Antibiotic Resistance in Bangladesh

Abdullah Al Rakib's dataset contains primary survey data from 254 respondents in Bangladesh, analyzed using Structural Equation Modeling. The data, last updated in May 2026, examines factors influencing antibiotic overuse and misuse, including economic pressures, diagnostic access, and cultural beliefs. The study is grounded in the Health Belief Model and Ecological Systems Theory.

Use Cases

• Modeling relationships between economic pressures and antibiotic misuse based on survey responses.
• Analyzing the influence of sociocultural beliefs on health behaviors using Structural Equation Modeling.
• Investigating the role of healthcare infrastructure and diagnostic uncertainty in antibiotic resistance.

Strengths

• Data is based on a primary survey of 254 respondents.
• Analysis employs Structural Equation Modeling (SEM) with Smart-PLS 4.0, suitable for non-normal data.
• Dataset is licensed under CC-BY-4.0 for open use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to a single-country survey in Bangladesh.

Provenance

Source

Abdullah Al Rakib

Collection Method

Primary survey data collection.

Freshness

Last updated 2026-05-18 17:40:44; freshness should be verified.

Geography

Bangladesh