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GeoHealth - 2022 - Jamal - Identification of Thresholds on Population Density for Understanding Transmission of COVID‐19.pdf 1,10MB
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1000 Titel
  • Identification of Thresholds on Population Density for Understanding Transmission of COVID-19
1000 Autor/in
  1. JAMAL, YUSUF |
  2. Gangwar, Mayank |
  3. usmani, moiz |
  4. Adams, Alison E. |
  5. Wu, Chang-Yu |
  6. nguyen, thanh |
  7. Colwell, Rita R. |
  8. Jutla, Antarpreet |
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-05-05
1000 Erschienen in
1000 Quellenangabe
  • 6(9):e2021GH000449
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1029/2021GH000449 |
1000 Ergänzendes Material
  • https://agupubs.onlinelibrary.wiley.com/doi/suppl/10.1029/2021GH000449 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Pathways of transmission of coronavirus (COVID-19) disease in the human population are still emerging. However, empirical observations suggest that dense human settlements are the most adversely impacted, corroborating a broad consensus that human-to-human transmission is a key mechanism for the rapid spread of this disease. Here, using logistic regression techniques, estimates of threshold levels of population density were computed corresponding to the incidence (case counts) in the human population. Regions with population densities greater than 3,000 person per square mile in the United States have about 95% likelihood to report 43,380 number of average cumulative cases of COVID-19. Since case numbers of COVID-19 dynamically changed each day until 30 November 2020, ca. 4% of US counties were at 50% or higher probability to 38,232 number of COVID-19 cases. While threshold on population density is not the sole indicator for predictability of coronavirus in human population, yet it is one of the key variables on understanding and rethinking human settlement in urban landscapes.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal population density
lokal threshold
lokal logistic regression
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-0540-7892|https://orcid.org/0000-0001-7605-0256|https://orcid.org/0000-0002-2718-8387|https://frl.publisso.de/adhoc/uri/QWRhbXMsIEFsaXNvbiBFLg==|https://orcid.org/0000-0002-2100-8816|https://orcid.org/0000-0002-5461-5233|https://orcid.org/0000-0001-5432-1502|https://orcid.org/0000-0002-8191-2348
1000 Label
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
  1. Identification of Thresholds on Population Density for Understanding Transmission of COVID-19
1000 Objektart article
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1000 @id frl:6440249.rdf
1000 Erstellt am 2023-02-15T11:33:50.596+0100
1000 Erstellt von 286
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1000 Bearbeitet von 337
1000 Zuletzt bearbeitet Thu Dec 14 12:32:36 CET 2023
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6440249 |
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