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Associations between nighttime light and COVID-19 incidence and mortality in the United States
COVID-19 has caused almost 770,000 deaths in the United States by November 2021. The nighttime light (NTL), representing the intensity of human activities, may reflect the degree of human contacts and therefore the intensity of COVID-19 transmission. This study intended to assess the associations be...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212796/ https://www.ncbi.nlm.nih.gov/pubmed/35757461 http://dx.doi.org/10.1016/j.jag.2022.102855 |
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author | Zhang, Yiming Peng, Ningyezi Yang, Shujuan Jia, Peng |
author_facet | Zhang, Yiming Peng, Ningyezi Yang, Shujuan Jia, Peng |
author_sort | Zhang, Yiming |
collection | PubMed |
description | COVID-19 has caused almost 770,000 deaths in the United States by November 2021. The nighttime light (NTL), representing the intensity of human activities, may reflect the degree of human contacts and therefore the intensity of COVID-19 transmission. This study intended to assess the associations between NTL differences and COVID-19 incidence and mortality among U.S. counties. The COVID-19 data of U.S. counties as of 31 December 2020 were collected. The average NTL values for each county in 2019 and 2020 were derived from satellite data. A negative binomial mixed model was adopted to assess the relationships between NTL intensity and COVID-19 incidence and mortality. Compared to the counties with the lowest NTL level (0.14–0.37 nW/cm(2)/sr), those with the highest NTL level (1.78–59.61 nW/cm(2)/sr) were related with 15% higher mortality rates (mortality rate ratio:1.15, 95 %CI: 1.02–1.30, p-value: 0.02) and 23% higher incidence rates (incidence rate ratio:1.23, 95 %CI: 1.13–1.34, p-value < 0.0001). Our study suggested that more intensive NTL was related with higher incidence and mortality rates of COVID-19, and NTL had a stronger correlation with the COVID-19 incidence rate than mortality rate. Our findings have contributed solid epidemiological evidence to the existing COVID-19 knowledge pool, and would help policymakers develop interventions when faced with the potential risk of the following outbreaks. |
format | Online Article Text |
id | pubmed-9212796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92127962022-06-22 Associations between nighttime light and COVID-19 incidence and mortality in the United States Zhang, Yiming Peng, Ningyezi Yang, Shujuan Jia, Peng Int J Appl Earth Obs Geoinf Article COVID-19 has caused almost 770,000 deaths in the United States by November 2021. The nighttime light (NTL), representing the intensity of human activities, may reflect the degree of human contacts and therefore the intensity of COVID-19 transmission. This study intended to assess the associations between NTL differences and COVID-19 incidence and mortality among U.S. counties. The COVID-19 data of U.S. counties as of 31 December 2020 were collected. The average NTL values for each county in 2019 and 2020 were derived from satellite data. A negative binomial mixed model was adopted to assess the relationships between NTL intensity and COVID-19 incidence and mortality. Compared to the counties with the lowest NTL level (0.14–0.37 nW/cm(2)/sr), those with the highest NTL level (1.78–59.61 nW/cm(2)/sr) were related with 15% higher mortality rates (mortality rate ratio:1.15, 95 %CI: 1.02–1.30, p-value: 0.02) and 23% higher incidence rates (incidence rate ratio:1.23, 95 %CI: 1.13–1.34, p-value < 0.0001). Our study suggested that more intensive NTL was related with higher incidence and mortality rates of COVID-19, and NTL had a stronger correlation with the COVID-19 incidence rate than mortality rate. Our findings have contributed solid epidemiological evidence to the existing COVID-19 knowledge pool, and would help policymakers develop interventions when faced with the potential risk of the following outbreaks. The Authors. Published by Elsevier B.V. 2022-08 2022-06-18 /pmc/articles/PMC9212796/ /pubmed/35757461 http://dx.doi.org/10.1016/j.jag.2022.102855 Text en © 2022 The Authors. Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Yiming Peng, Ningyezi Yang, Shujuan Jia, Peng Associations between nighttime light and COVID-19 incidence and mortality in the United States |
title | Associations between nighttime light and COVID-19 incidence and mortality in the United States |
title_full | Associations between nighttime light and COVID-19 incidence and mortality in the United States |
title_fullStr | Associations between nighttime light and COVID-19 incidence and mortality in the United States |
title_full_unstemmed | Associations between nighttime light and COVID-19 incidence and mortality in the United States |
title_short | Associations between nighttime light and COVID-19 incidence and mortality in the United States |
title_sort | associations between nighttime light and covid-19 incidence and mortality in the united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212796/ https://www.ncbi.nlm.nih.gov/pubmed/35757461 http://dx.doi.org/10.1016/j.jag.2022.102855 |
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