Health Sciences Program Student Theses, Dissertations and Capstones
Document Type
Dissertation - NSU Access Only
Degree Name
Doctor of Philosophy (PhD) in Health Science
Copyright Statement
All rights reserved. This publication is intended for use solely by faculty, students, and staff of Nova Southeastern University. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.
Department
College of Health Care Sciences – Health Science Department
First Advisor
Moya Alfonso
Date of original Performance / Presentation
January 2026
Publication Date / Copyright Date
1-1-2026
NSUWorks Citation
Natalia Coletti. 2026. The Effects of the COVID-19 Pandemic on the Burden of Death for Minority Infants in the United States: Interactions among Modifiable and Unmodifiable Risk Factors in 2019 and 2020. Doctoral dissertation. Nova Southeastern University. Retrieved from NSUWorks, College of Health Care Sciences – Health Science Department. (29)
https://nsuworks.nova.edu/hpd_hs_stuetd/29.
Abstract
The rate of sudden unexpected infant death (SUID) was on a downward trend in the United States. During 2020, when the COVID-19 pandemic started, the SUID rate significantly increased by 2.8 per 100,000 live births. The purpose of this dissertation study was to explore the association between modifiable (mother’s tobacco use and breastfeeding) and unmodifiable factors (infant’s gender, birth weight and gestational age; mother’s education, income, race, and access to prenatal care) among infants who died of SUID (sudden infant death syndrome, accidental suffocation and strangulation in bed, and unknown cause) between 2019 and 2020. The theoretical framework used was the social ecological model. It integrates individual, interpersonal, institutional, community, and public policy levels to understand the impact of the COVID-19 pandemic on SUID. It involved a quantitative, cross-sectional, retrospective, correlational research design to examine the relationship between variables. Data were collected from the 2020 period/2019 cohort linked birth/infant death data set, publicly available from the Centers for Disease Control and Prevention. Chi-square automatic interaction detector (CHAID) results indicated that tobacco use; underlying cause of death; birth year; death year; gestation; sex; race; and Women, Infants & Children (WIC) had statistically significant interactions. When year of death was forced to enter the CHAID model first, results were suggestive of infants who died in 2019 and whose mother was non-Hispanic Black, Hispanic, origin unknown or not stated, non-Hispanic Asian, or non-Hispanic (AIAN) were more likely to die of an unknown cause. There were no statistically significant interactions with 2020 and study variables. Subsequent pandemics may occur. Understanding its impact may prevent another rise in infant deaths.
Disciplines
Medicine and Health Sciences
Keywords
breastfeeding; COVID-19; infant mortality; sudden infant death syndrome; sudden unexpected infant death; tobacco use