Mobility data shows effectiveness of control strategies for COVID-19 in remote, sparse and diffuse populations
Data that is collected at the individual-level from mobile phones is typically aggregated to the population-level for privacy reasons. If we are interested in answering questions regarding the mean, or working with groups appropriately modeled by a continuum, then this data is immediately informativ...
Main Authors: | Yuval Berman, Shannon D. Algar, David M. Walker, Michael Small |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-07-01
|
Series: | Frontiers in Epidemiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fepid.2023.1201810/full |
Similar Items
-
Percolation across households in mechanistic models of non-pharmaceutical interventions in SARS-CoV-2 disease dynamics
by: Caroline Franco, et al.
Published: (2022-06-01) -
DIFFERENTIAL IMPACT OF COVID-19 IN AUSTRALIA: EVIDENCE FROM GOOGLE SEARCH DATA
by: WEE CHIAN KOH
Published: (2021-08-01) -
Multi-generational SIR modeling: Determination of parameters, epidemiological forecasting and age-dependent vaccination policies
by: Eduardo Lima Campos, et al.
Published: (2021-01-01) -
Predicting Hospital Demand During the COVID-19 Outbreak in Bogotá, Colombia
by: Claudia Rivera-Rodriguez, et al.
Published: (2020-11-01) -
A mathematical model for the novel coronavirus epidemic in Wuhan, China
by: Chayu Yang, et al.
Published: (2020-03-01)