Human mobility: Models and applications

H Barbosa, M Barthelemy, G Ghoshal, CR James… - Physics Reports, 2018 - Elsevier
Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Community movement and COVID-19: a global study using Google's Community Mobility Reports

M Sulyok, M Walker - Epidemiology & Infection, 2020 - cambridge.org
Google's 'Community Mobility Reports'(CMR) detail changes in activity and mobility
occurring in response to COVID-19. They thus offer the unique opportunity to examine the …

[HTML][HTML] Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm

M Tizzoni, P Bajardi, C Poletto, JJ Ramasco, D Balcan… - BMC medicine, 2012 - Springer
Background Mathematical and computational models for infectious diseases are
increasingly used to support public-health decisions; however, their reliability is currently …

A review of simulation modelling approaches used for the spread of zoonotic influenza viruses in animal and human populations

S Dorjee, Z Poljak, CW Revie… - Zoonoses and public …, 2013 - Wiley Online Library
Increasing incidences of emerging and re‐emerging diseases that are mostly zoonotic (eg
severe acute respiratory syndrome, avian influenza H5N1, pandemic influenza) has led to …

Smart monitoring and controlling of Pandemic Influenza A (H1N1) using Social Network Analysis and cloud computing

R Sandhu, HK Gill, SK Sood - Journal of Computational Science, 2016 - Elsevier
H1N1 is an infectious virus which, when spread affects a large volume of the population. It is
an airborne disease that spreads easily and has a high death rate. Development of …

Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes

L Lotero, RG Hurtado, LM Floría… - Royal Society …, 2016 - royalsocietypublishing.org
We analyse the urban mobility in the cities of Medellín and Manizales (Colombia). Each city
is represented by six mobility networks, each one encoding the origin-destination trips …

[HTML][HTML] Estimating influenza latency and infectious period durations using viral excretion data

A Cori, AJ Valleron, F Carrat, GS Tomba, G Thomas… - Epidemics, 2012 - Elsevier
Influenza infection natural history is often described as a progression through four
successive stages: Susceptible–Exposed/Latent–Infectious–Removed (SEIR). The duration …

[HTML][HTML] Modelling and analysis of influenza A (H1N1) on networks

Z Jin, J Zhang, LP Song, GQ Sun, J Kan, H Zhu - BMC public health, 2011 - Springer
Abstract Background In April 2009, a new strain of H1N1 influenza virus, referred to as
pandemic influenza A (H1N1) was first detected in humans in the United States, followed by …

Viral conductance: Quantifying the robustness of networks with respect to spread of epidemics

M Youssef, R Kooij, C Scoglio - Journal of Computational Science, 2011 - Elsevier
In this paper, we propose a novel measure, viral conductance (VC), to assess the
robustness of complex networks with respect to the spread of SIS epidemics. In contrast to …

Comparability of different methods for estimating influenza infection rates over a single epidemic wave

VJ Lee, MI Chen, J Yap, J Ong, WY Lim… - American journal of …, 2011 - academic.oup.com
Estimation of influenza infection rates is important for determination of the extent of epidemic
spread and for calculation of severity indicators. The authors compared estimated infection …