Peer Review of “Willingness to Pay for the COVID-19 Vaccine and Its Correlates in Bangladesh: Cross-Sectional Study”

This paper [1] examines willingness to pay (WTP) for COVID-19 vaccines in Bangladesh using a cross-sectional survey.The integration of the health belief model and theory of planned behavior adds a theoretical foundation to the analysis.The study is well-structured, and the use of hierarchical logistic regression strengthens its analytical rigor.

Authors

Institutions

Publication Details

Journal
JMIRx Med
Published
2025-08-15
DOI
https://doi.org/10.2196/79353
Citations
1
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
2.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Peer Review of “Willingness to Pay for the COVID-19 Vaccine and Its Correlates in Bangladesh: Cross-Sectional Study”

Jatina Vij
1 citations
JMIRx Med
Vaccine Coverage and Hesitancy
2.17
article

Peer Review of “Willingness to Pay for the COVID-19 Vaccine and Its Correlates in Bangladesh: Cross-Sectional Study”

Jatina Vij
article en
1 citations

Abstract

This paper [1] examines willingness to pay (WTP) for COVID-19 vaccines in Bangladesh using a cross-sectional survey.The integration of the health belief model and theory of planned behavior adds a theoretical foundation to the analysis.The study is well-structured, and the use of hierarchical logistic regression strengthens its analytical rigor.

JMIRx MedVol. 6
Post Graduate Institute of Medical Education and Research (IN)
Zero hunger
Openalex Percentile: Top 12%
Vaccine Coverage and Hesitancy
2.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.