Call detail record aggregation methodology impacts infectious disease models informed by human mobility.
This paper demonstrates how two different methods used to calculate population-level mobility from Call Detail Records (CDR) produce varying predictions of the spread of epidemics informed by these data. Our findings are based on one CDR dataset describing inter-district movement in Ghana in 2021, p...
Saved in:
| Main Authors: | Hamish Gibbs, Anwar Musah, Omar Seidu, William Ampofo, Franklin Asiedu-Bekoe, Jonathan Gray, Wole A Adewole, James Cheshire, Michael Marks, Rosalind M Eggo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-08-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011368&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data.
by: Hamish Gibbs, et al.
Published: (2022-01-01) -
A Method for Localization of Cellular Users From Call Detail Records
by: Steven W. Ellingson
Published: (2025-01-01) -
Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19.
by: Hamish Gibbs, et al.
Published: (2021-07-01) -
Assessing female call responses to syllable level details in song
by: Nora H. Prior, et al.
Published: (2025-03-01) -
Colorectal anastomosis dehiscence: a call for more detailed morphological classification
by: Alexander Ferko, et al.
Published: (2020-07-01)