Analysis of COVID-19 pandemic in USA, using Topological Weighted Centroid.
COVID-19 pandemic
TWC-Windowing
Topological weighted centroid (TWC)
Journal
Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250
Informations de publication
Date de publication:
09 2021
09 2021
Historique:
received:
19
03
2021
revised:
14
07
2021
accepted:
18
07
2021
pubmed:
4
8
2021
medline:
18
9
2021
entrez:
3
8
2021
Statut:
ppublish
Résumé
The first case of COVID-19 in USA was reported on January 20, 2020. The number of COVID-19 confirmed cases and death has increased since the first reported case and the outbreak has appeared in all states. This paper analyzes disease outbreak using Topological Weighted Centroid (TWC), which is a data driven intelligent geographical dynamical system that models disease spread in space and time. In this analysis the COVID-19 cases in USA on March 26, 2020 as provided by Johns Hopkins University is used. The COVID-19 outbreak is mapped by the TWC method. We were able to predict and capture some features of the pandemic spread using the early data. Although we have used the geographical distance from the latitude and longitude coordinates, our results indicate that one of the main paths of diseases spread are arguably airline routes. In this analysis, we used a large set of data. A modified version of TWC, is named TWC-Windowing to elaborate the effect of data from all places.
Identifiants
pubmed: 34343889
pii: S0010-4825(21)00464-9
doi: 10.1016/j.compbiomed.2021.104670
pmc: PMC8294081
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104670Informations de copyright
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