Characterizing human mobility patterns in rural settings of sub-Saharan Africa.
Human mobility
computational biology
epidemiology
global health
gravity model
human
low and middle income countries
mobile phone data
spatial models
systems biology
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
17 09 2021
17 09 2021
Historique:
received:
16
03
2021
accepted:
21
08
2021
entrez:
17
9
2021
pubmed:
18
9
2021
medline:
30
11
2021
Statut:
epublish
Résumé
Human mobility is a core component of human behavior and its quantification is critical for understanding its impact on infectious disease transmission, traffic forecasting, access to resources and care, intervention strategies, and migratory flows. When mobility data are limited, spatial interaction models have been widely used to estimate human travel, but have not been extensively validated in low- and middle-income settings. Geographic, sociodemographic, and infrastructure differences may impact the ability for models to capture these patterns, particularly in rural settings. Here, we analyzed mobility patterns inferred from mobile phone data in four Sub-Saharan African countries to investigate the ability for variants on gravity and radiation models to estimate travel. Adjusting the gravity model such that parameters were fit to different trip types, including travel between more or less populated areas and/or different regions, improved model fit in all four countries. This suggests that alternative models may be more useful in these settings and better able to capture the range of mobility patterns observed.
Identifiants
pubmed: 34533456
doi: 10.7554/eLife.68441
pii: 68441
pmc: PMC8448534
doi:
pii:
Banques de données
Dryad
['10.5061/dryad.fn2z34tt6']
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NLM NIH HHS
ID : DP2 LM013102
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI160780
Pays : United States
Informations de copyright
© 2021, Meredith et al.
Déclaration de conflit d'intérêts
HM, JG, JP, TM, AR, SM, EK, KM, AT, CM none, CB None, AW Reviewing editor, eLife
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