Prematurity and low birth weight: geospatial analysis and recent trends

Prematurity and low birth weight are of concern in neonatal health. In this work, geospatial analysis was performed to identify the existence of statistically significant clusters of prematurity and low birth weight using Moran’s I. Data was obtained from March of Dimes and the National Center for H...

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Autores principales: Peterman, Nicholas, Kaptur, Bradley, Lewis, Morgan, Ades, Lindsey, Carpenter, Kristine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052599/
https://www.ncbi.nlm.nih.gov/pubmed/35488308
http://dx.doi.org/10.1186/s40748-022-00137-x
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author Peterman, Nicholas
Kaptur, Bradley
Lewis, Morgan
Ades, Lindsey
Carpenter, Kristine
author_facet Peterman, Nicholas
Kaptur, Bradley
Lewis, Morgan
Ades, Lindsey
Carpenter, Kristine
author_sort Peterman, Nicholas
collection PubMed
description Prematurity and low birth weight are of concern in neonatal health. In this work, geospatial analysis was performed to identify the existence of statistically significant clusters of prematurity and low birth weight using Moran’s I. Data was obtained from March of Dimes and the National Center for Health Statistics for the years 2015 to 2019. Analysis demonstrated the presence of hotspot (High-High) and coldspot (Low-Low) geographic clusters of these variables in regions across the United States. Additionally, factorial ANOVA was performed, and revealed the significance of demographic variables of interest. Given the strong relationship between these two variables, regions that are hotspots for one variable, but not the other, are of particular interest for further study.
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spelling pubmed-90525992022-04-30 Prematurity and low birth weight: geospatial analysis and recent trends Peterman, Nicholas Kaptur, Bradley Lewis, Morgan Ades, Lindsey Carpenter, Kristine Matern Health Neonatol Perinatol Letter to the Editor Prematurity and low birth weight are of concern in neonatal health. In this work, geospatial analysis was performed to identify the existence of statistically significant clusters of prematurity and low birth weight using Moran’s I. Data was obtained from March of Dimes and the National Center for Health Statistics for the years 2015 to 2019. Analysis demonstrated the presence of hotspot (High-High) and coldspot (Low-Low) geographic clusters of these variables in regions across the United States. Additionally, factorial ANOVA was performed, and revealed the significance of demographic variables of interest. Given the strong relationship between these two variables, regions that are hotspots for one variable, but not the other, are of particular interest for further study. BioMed Central 2022-04-29 /pmc/articles/PMC9052599/ /pubmed/35488308 http://dx.doi.org/10.1186/s40748-022-00137-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Letter to the Editor
Peterman, Nicholas
Kaptur, Bradley
Lewis, Morgan
Ades, Lindsey
Carpenter, Kristine
Prematurity and low birth weight: geospatial analysis and recent trends
title Prematurity and low birth weight: geospatial analysis and recent trends
title_full Prematurity and low birth weight: geospatial analysis and recent trends
title_fullStr Prematurity and low birth weight: geospatial analysis and recent trends
title_full_unstemmed Prematurity and low birth weight: geospatial analysis and recent trends
title_short Prematurity and low birth weight: geospatial analysis and recent trends
title_sort prematurity and low birth weight: geospatial analysis and recent trends
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052599/
https://www.ncbi.nlm.nih.gov/pubmed/35488308
http://dx.doi.org/10.1186/s40748-022-00137-x
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