Cargando…
COVID-19 and vaccination during pregnancy: a systematic analysis using Korea National Health Insurance claims data
OBJECTIVE: This study systematically analyzed coronavirus disease 2019 (COVID-19) and vaccination details during pregnancy by using the national health insurance claims data. METHODS: Population-based retrospective cohort data of 12,399,065 women aged 15–49 years were obtained from the Korea Nationa...
Autores principales: | Ahn, Ki Hoon, Kim, Hae-In, Lee, Kwang-Sig, Heo, Ju Sun, Kim, Ho-Yeon, Cho, Geum-Joon, Hong, Soon-Cheol, Oh, Min-Jeong, Kim, Hae-Joong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Obstetrics and Gynecology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683933/ https://www.ncbi.nlm.nih.gov/pubmed/35916014 http://dx.doi.org/10.5468/ogs.22060 |
Ejemplares similares
-
Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2021) -
Blood Transfusion, All-Cause Mortality and Hospitalization Period in COVID-19 Patients: Machine Learning Analysis of National Health Insurance Claims Data
por: Lee, Byung-Hyun, et al.
Publicado: (2022) -
Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2022) -
Recurrent Risk of Preterm Birth in the Third Pregnancy in Korea
por: Ouh, Yung-Taek, et al.
Publicado: (2018) -
Prepregnancy Glucose Levels Within Normal Range and Its Impact on Obstetric Complications in Subsequent Pregnancy: A Population Cohort Study
por: Kim, Ho Yeon, et al.
Publicado: (2023)