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The mediating effects of gestational diabetes mellitus and hypertensive disorders of pregnancy between maternal advanced age, previous caesarean section and the risk of small- or large-for-gestational-age newborns: a multicentric prospective cohort study in southern China.
J Glob Health
January 2025
Department of Obstetrics, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Background: Maternal obstetric characteristics have a key role in determining the occurrence of pregnancy-related disorders and subsequent neonatal outcomes. We aimed to investigate the mediating impact of gestational diabetes mellitus (GDM) and hypertensive disorder of pregnancy (HDP) on the relationship between maternal advanced age, previous caesarean section, and the risk of either large for gestational age (LGA) or small for gestational age (SGA) infants.
Methods: We used data from a prospective multicentre cohort study conducted through China's National Maternal Near-miss Surveillance System from January 2012 to December 2021.
Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models.
Accid Anal Prev
December 2024
Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843, USA.
Near-miss traffic risk estimation using Extreme Value Theory (EVT) models within a real-time framework offers a promising alternative to traditional historical crash-based methods. However, current approaches often lack comprehensive analysis that integrates diverse roadway geometries, crash patterns, and two-dimensional (2D) vehicle dynamics, limiting both their accuracy and generalizability. This study addresses these gaps by employing a high-fidelity, 2D time-to-collision (TTC) near-miss indicator derived from autonomous vehicle (AV) sensor data.
View Article and Find Full Text PDFA prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy.
Lancet Digit Health
January 2025
Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA. Electronic address:
Background: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We developed a fully automated deep learning-based spine-targeting quality assurance system (DL-SpiQA) for detecting treatment at the wrong anatomic level. DL-SpiQA was evaluated based on retrospective testing of spine radiation therapy treatments and prospective clinical deployment.
View Article and Find Full Text PDFPregnancy complications associated with maternal near-miss in an undeveloped province in south-central China, 2012-2022.
BMC Public Health
December 2024
Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.
Objective: To explore the relationship between pregnancy complications and maternal near-miss (MNM).
Methods: Data were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012-2022. The MNM ratio refers to the number of MNM per 1000 live births, and maternal mortality refers to the number of maternal deaths per 100,000 live births.
Unraveling the effects of the Ebola experience on behavior choices during COVID-19 in Liberia: a mixed-methods study across successive outbreaks.
BMC Glob Public Health
April 2024
College of Health Sciences, University of Liberia, Monrovia, Liberia.
Background: The burden of the COVID-19 pandemic in terms of morbidity and mortality differentially affected populations. Between and within populations, behavior change was likewise heterogeneous. Factors influencing precautionary behavior adoption during COVID-19 have been associated with multidimensional aspects of risk perception; however, the influence of lived experiences during other recent outbreaks on behavior change during COVID-19 has been less studied.
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