<scp>COVID</scp> ‐19 vaccine acceptance in pregnant women: A survey based on the health belief model

Targeted communication strategies, information campaigns, and addressing any concerns could improve vaccine acceptance and increase vaccination coverage, improving protection for both mothers and their children.

Authors

Institutions

Publication Details

Journal
International Journal of Gynecology & Obstetrics
Published
2025-12-03
DOI
https://doi.org/10.1002/ijgo.70702
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COVID ‐19 vaccine acceptance in pregnant women: A survey based on the health belief model

Andrea Tinelli, Federico Banchelli, Antonella Zizza, Pierpaolo Negro et al.
International Journal of Gynecology & Obstetrics
Vaccine Coverage and Hesitancy
article

COVID ‐19 vaccine acceptance in pregnant women: A survey based on the health belief model

Andrea Tinelli, Federico Banchelli, Antonella Zizza, Pierpaolo Negro, Virginia Recchia, Marcello Guido
article en

Abstract

Targeted communication strategies, information campaigns, and addressing any concerns could improve vaccine acceptance and increase vaccination coverage, improving protection for both mothers and their children.

International Journal of Gynecology & Obstetrics
Università Cattolica del Sacro Cuore (IT), University of Salento (IT), Istituto di Fisiologia Clinica (IT), Ospedale Veris Delli Ponti Scorrano (IT), IB Innovation Consortium (Italy) (IT), National Research Council (IT)
Openalex Percentile: Top 54%
Vaccine Coverage and Hesitancy
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.