Zobrazeno 1 - 10
of 326
pro vyhledávání: '"Madhav V Marathe"'
Autor:
Chadi M Saad-Roy, Sinead E Morris, Mike Boots, Rachel E Baker, Bryan L Lewis, Jeremy Farrar, Madhav V Marathe, Andrea L Graham, Simon A Levin, Caroline E Wagner, C Jessica E Metcalf, Bryan T Grenfell
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 8, p e1012211 (2024)
The SARS-CoV-2 pandemic has generated a considerable number of infections and associated morbidity and mortality across the world. Recovery from these infections, combined with the onset of large-scale vaccination, have led to rapidly-changing popula
Externí odkaz:
https://doaj.org/article/a34513b233704ad2a385f1cd24acf2f0
Autor:
Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Noshir Contractor, Saliya Ekanayake, Joshua M Epstein, Brian J Goode, Gizem Korkmaz, Chris J Kuhlman, Dustin Machi, Michael Macy, Madhav V Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0242453 (2020)
There is large interest in networked social science experiments for understanding human behavior at-scale. Significant effort is required to perform data analytics on experimental outputs and for computational modeling of custom experiments. Moreover
Externí odkaz:
https://doaj.org/article/5a47e4a1b6224f69bdfb52c4112780b9
Autor:
Sherif H Elmeligy Abdelhamid, Chris J Kuhlman, Madhav V Marathe, Henning S Mortveit, S S Ravi
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0133660 (2015)
Discrete dynamical systems are used to model various realistic systems in network science, from social unrest in human populations to regulation in biological networks. A common approach is to model the agents of a system as vertices of a graph, and
Externí odkaz:
https://doaj.org/article/a307dbf645754629922c4e7f13289397
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 8, Iss 4, p e2779 (2014)
Hantavirus pulmonary syndrome (HPS) is a life threatening disease transmitted by the rodent Oligoryzomys longicaudatus in Chile. Hantavirus outbreaks are typically small and geographically confined. Several studies have estimated risk based on spatia
Externí odkaz:
https://doaj.org/article/e2c89214da0748e5b74ab650ad2885f3
Publikováno v:
PLoS ONE, Vol 8, Iss 6, p e67164 (2013)
Reliable forecasts of influenza can aid in the control of both seasonal and pandemic outbreaks. We introduce a simulation optimization (SIMOP) approach for forecasting the influenza epidemic curve. This study represents the final step of a project ai
Externí odkaz:
https://doaj.org/article/7b67865d11674f13bbfb211729404a10
Autor:
Chris Barrett, Karthik Channakeshava, Fei Huang, Junwhan Kim, Achla Marathe, Madhav V Marathe, Guanhong Pei, Sudip Saha, Balaaji S P Subbiah, Anil Kumar S Vullikanti
Publikováno v:
PLoS ONE, Vol 7, Iss 10, p e45406 (2012)
In this paper, we conduct a systematic study of human-initiated cascading failures in three critical inter-dependent societal infrastructures due to behavioral adaptations in response to a crisis. We focus on three closely coupled socio-technical net
Externí odkaz:
https://doaj.org/article/b390bdac23e24bad94d427c08086917c
Publikováno v:
PLoS ONE, Vol 7, Iss 10, p e45414 (2012)
Individual-based epidemiology models are increasingly used in the study of influenza epidemics. Several studies on influenza dynamics and evaluation of intervention measures have used the same incubation and infectious period distribution parameters
Externí odkaz:
https://doaj.org/article/0eff46cd6cc34958805c090ebd21c349
Publikováno v:
Network Science. 10:234-260
We consider the simultaneous propagation of two contagions over a social network. We assume a threshold model for the propagation of the two contagions and use the formal framework of discrete dynamical systems. In particular, we study an optimizatio
Autor:
Rounak Meyur, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit, Virgilio Centeno, Arun Phadke, H. Vincent Poor, Madhav V. Marathe
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 119(42)
The power grid is going through significant changes with the introduction of renewable energy sources and the incorporation of smart grid technologies. These rapid advancements necessitate new models and analyses to keep up with the various emergent
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Indoor superspreading events are significant drivers of transmission of respiratory diseases. In this work, we study the dynamics of airborne transmission in consecutive meetings of individuals in enclosed spaces. In contrast to the usual pairwise-in