Dynamic model of respiratory infectious disease transmission by population mobility based on city network.
city network
dynamic model
population mobility
respiratory infectious disease
Journal
Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528
Informations de publication
Date de publication:
Nov 2022
Nov 2022
Historique:
received:
22
09
2022
accepted:
13
11
2022
entrez:
5
12
2022
pubmed:
6
12
2022
medline:
6
12
2022
Statut:
epublish
Résumé
In modern societies, newly emerging infectious diseases spread rapidly between regions owing to frequent contact between people, causing considerable social and economic impacts. In this study, first, a scale-free city network was established, and then the shortest path between any two nodes was determined. Second, the movement path of tourists was designed based on the shortest path. Subsequently, every infected person's information, such as the city, infection time, onset and hospitalization, was confirmed based on their movement path. Third, the features of the transmission path and time distribution of the epidemic were characterized after summarizing the information. Finally, the reliability of the model was verified. The number of citizens and tourists in every city remained stable during this time. The results indicated that a larger basic reproduction number (
Identifiants
pubmed: 36465677
doi: 10.1098/rsos.221232
pii: rsos221232
pmc: PMC9709562
doi:
Banques de données
figshare
['10.6084/m9.figshare.c.6307476']
Types de publication
Journal Article
Langues
eng
Pagination
221232Informations de copyright
© 2022 The Authors.
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