Shweta Bansal
Shweta Bansal
Associate Professor of Biology, Georgetown University
Verified email at - Homepage
Cited by
Cited by
When individual behaviour matters: homogeneous and network models in epidemiology
S Bansal, BT Grenfell, LA Meyers
Journal of the Royal Society Interface 4 (16), 879-891, 2007
Modeling infectious disease dynamics in the complex landscape of global health
H Heesterbeek, RM Anderson, V Andreasen, S Bansal, D De Angelis, ...
Science 347 (6227), 2015
The dynamic nature of contact networks in infectious disease epidemiology
S Bansal, J Read, B Pourbohloul, LA Meyers
Journal of biological dynamics 4 (5), 478-489, 2010
A comparative analysis of influenza vaccination programs
S Bansal, B Pourbohloul, LA Meyers
PLoS Medicine 3 (10), e387, 2006
Mathematical models to characterize early epidemic growth: a review
G Chowell, L Sattenspiel, S Bansal, C Viboud
Physics of life reviews 18, 66-97, 2016
Eight challenges for network epidemic models
L Pellis, F Ball, S Bansal, K Eames, T House, V Isham, P Trapman
Epidemics 10, 58-62, 2015
Exploring biological network structure with clustered random networks
S Bansal, S Khandelwal, LA Meyers
BMC bioinformatics 10 (1), 405, 2009
Network frailty and the geometry of herd immunity
MJ Ferrari, S Bansal, LA Meyers, ON Bjørnstad
Proceedings of the Royal Society B: Biological Sciences 273 (1602), 2743-2748, 2006
Big data for infectious disease surveillance and modeling
S Bansal, G Chowell, L Simonsen, A Vespignani, C Viboud
The Journal of Infectious Diseases 214 (suppl_4), S375-S379, 2016
The shifting demographic landscape of pandemic influenza
S Bansal, B Pourbohloul, N Hupert, B Grenfell, LA Meyers
PLoS One 5 (2), e9360, 2010
Nine challenges in incorporating the dynamics of behaviour in infectious diseases models
S Funk, S Bansal, CT Bauch, KTD Eames, WJ Edmunds, AP Galvani, ...
Epidemics 10, 21-25, 2015
Exploring community structure in biological networks with random graphs
P Sah, LO Singh, A Clauset, S Bansal
BMC bioinformatics 15 (1), 1-14, 2014
Unraveling the disease consequences and mechanisms of modular structure in animal social networks
P Sah, ST Leu, PC Cross, PJ Hudson, S Bansal
Proceedings of the National Academy of Sciences 114 (16), 4165-4170, 2017
Statistical inference to advance network models in epidemiology
D Welch, S Bansal, DR Hunter
Epidemics 3 (1), 38-45, 2011
Six challenges in measuring contact networks for use in modelling
K Eames, S Bansal, S Frost, S Riley
Epidemics 10, 72-77, 2015
Fast community detection for dynamic complex networks
S Bansal, S Bhowmick, P Paymal
Complex Networks, 196-207, 2011
Disease dynamics during wildlife translocations: disruptions to the host population and potential consequences for transmission in desert tortoise contact networks
CM Aiello, KE Nussear, AD Walde, TC Esque, PG Emblidge, P Sah, ...
Animal Conservation 17, 27-39, 2014
Mind the scales: Harnessing spatial big data for infectious disease surveillance and inference
EC Lee, JM Asher, S Goldlust, JD Kraemer, AB Lawson, S Bansal
The Journal of infectious diseases 214 (suppl_4), S409-S413, 2016
Disease implications of animal social network structure: A synthesis across social systems
P Sah, J Mann, S Bansal
Journal of Animal Ecology, 2017
Social, spatial, and temporal organization in a complex insect society
LE Quevillon, EM Hanks, S Bansal, DP Hughes
Scientific reports 5, 13393, 2015
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