Using Mobile Phone Data to Estimate the Relationship between Population Flow and Influenza Infection Pathways.
computer
disease outbreaks
geographic information systems
human/epidemiology
influenza
machine learning
neural networks
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
12 07 2021
12 07 2021
Historique:
received:
22
06
2021
accepted:
05
07
2021
entrez:
24
7
2021
pubmed:
25
7
2021
medline:
12
8
2021
Statut:
epublish
Résumé
This study aimed to analyze population flow using global positioning system (GPS) location data and evaluate influenza infection pathways by determining the relationship between population flow and the number of drugs sold at pharmacies. Neural collective graphical models (NCGMs; Iwata and Shimizu 2019) were applied for 25 cell areas, each measuring 10 × 10 km
Identifiants
pubmed: 34299889
pii: ijerph18147439
doi: 10.3390/ijerph18147439
pmc: PMC8303742
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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