This paper is in the following e-collection/theme issue:

Surveillance Reports (122) Public (e)Health, Digital Epidemiology and Public Health Informatics (636) Epidemiology (130) Longitudinal and Cohort Studies in Public Health (254) Birth Defects (13) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (92) Health Services in Resource-Poor Settings and LMICs (371)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48815, first published .
Spatiotemporal Characteristics and Risk Factors for All and Severity-Specific Preterm Births in Southern China, 2014-2021: Large Population-Based Study

Spatiotemporal Characteristics and Risk Factors for All and Severity-Specific Preterm Births in Southern China, 2014-2021: Large Population-Based Study

Spatiotemporal Characteristics and Risk Factors for All and Severity-Specific Preterm Births in Southern China, 2014-2021: Large Population-Based Study

Authors of this article:

Huazhang Miao1 Author Orcid Image ;   Hui He2 Author Orcid Image ;   Chuan Nie3 Author Orcid Image ;   Jianbing Ren3 Author Orcid Image ;   Xianqiong Luo2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Huazhang Miao   1 * , PhD ;   Hui He   2 * , MD ;   Chuan Nie   3 , PhD ;   Jianbing Ren   3 , PhD ;   Xianqiong Luo   2 , PhD

1 Department of Healthcare, Guangdong Women and Children Hospital, Guangzhou, China

2 Department of Pediatric Endocrinology and Inherited Metabolic Diseases, Guangdong Women and Children Hospital, Guangzhou, China

3 Neonatology Department, Guangdong Women and Children Hospital, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Xianqiong Luo, PhD
  • Department of Pediatric Endocrinology and Inherited Metabolic Diseases
  • Guangdong Women and Children Hospital
  • No. 521, Xingnan Road
  • Panyu District
  • Guangzhou, 510623
  • China
  • Phone: 86 39151822
  • Email: luoxqgz@126.com