Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data

A Wesolowski, CJE Metcalf, N Eagle… - Proceedings of the …, 2015 - National Acad Sciences
Changing patterns of human aggregation are thought to drive annual and multiannual
outbreaks of infectious diseases, but the paucity of data about travel behavior and …

The duration of travel impacts the spatial dynamics of infectious diseases

JR Giles, E zu Erbach-Schoenberg… - Proceedings of the …, 2020 - National Acad Sciences
Humans can impact the spatial transmission dynamics of infectious diseases by introducing
pathogens into susceptible environments. The rate at which this occurs depends in part on …

Connecting mobility to infectious diseases: the promise and limits of mobile phone data

A Wesolowski, CO Buckee… - The Journal of …, 2016 - academic.oup.com
Human travel can shape infectious disease dynamics by introducing pathogens into
susceptible populations or by changing the frequency of contacts between infected and …

Quantifying travel behavior for infectious disease research: a comparison of data from surveys and mobile phones

A Wesolowski, G Stresman, N Eagle, J Stevenson… - Scientific reports, 2014 - nature.com
Human travel impacts the spread of infectious diseases across spatial and temporal scales,
with broad implications for the biological and social sciences. Individual data on travel …

Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics

A Wesolowski, E zu Erbach-Schoenberg… - Nature …, 2017 - nature.com
Seasonal variation in human mobility is globally ubiquitous and affects the spatial spread of
infectious diseases, but the ability to measure seasonality in human movement has been …

Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks

F Finger, T Genolet, L Mari… - Proceedings of the …, 2016 - National Acad Sciences
The spatiotemporal evolution of human mobility and the related fluctuations of population
density are known to be key drivers of the dynamics of infectious disease outbreaks. These …

Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models

C Panigutti, M Tizzoni, P Bajardi… - Royal Society …, 2017 - royalsocietypublishing.org
The recent availability of large-scale call detail record data has substantially improved our
ability of quantifying human travel patterns with broad applications in epidemiology …

Evaluating spatial interaction models for regional mobility in sub-Saharan Africa

A Wesolowski, WP O'Meara, N Eagle… - PLoS computational …, 2015 - journals.plos.org
Simple spatial interaction models of human mobility based on physical laws have been used
extensively in the social, biological, and physical sciences, and in the study of the human …

Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh

S Engebretsen, K Engø-Monsen… - Journal of the …, 2020 - royalsocietypublishing.org
Human mobility plays a major role in the spatial dissemination of infectious diseases. We
develop a spatio-temporal stochastic model for influenza-like disease spread based on …

Characterizing human mobility patterns in rural settings of sub-Saharan Africa

HR Meredith, JR Giles, J Perez-Saez, T Mande… - Elife, 2021 - elifesciences.org
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 …