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Alessandro Vespignani

Showing results (151-160 of 192) with videos related to

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BMC Public Health|September 22, 2014
The representativeness of a European multi-center network for influenza-like-illness participatory surveillancePietro Cantarelli, Marion Debin, Clément Turbelin, et al.
American Journal of Public Health|April 14, 2022
Collaborative Hubs: Making the Most of Predictive Epidemic ModelingNicholas G Reich, Justin Lessler, Sebastian Funk, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
The effect of human mobility and control measures on the COVID-19 epidemic in ChinaMoritz U G Kraemer, Chia-Hung Yang, Bernardo Gutierrez, et al.
PNAS Nexus|September 17, 2024
Spatial scales of COVID-19 transmission in MexicoBrennan Klein, Harrison Hartle, Munik Shrestha, et al.
BMC Medicine|December 31, 2017
Simulations for designing and interpreting intervention trials in infectious diseasesM Elizabeth Halloran, Kari Auranen, Sarah Baird, et al.
Plos One|January 29, 2016
The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease SurveillanceKristen J Margevicius, Nicholas Generous, Esteban Abeyta, et al.
Science (New York, N.Y.)|October 25, 2014
Ebola: mobility dataM Elizabeth Halloran, Alessandro Vespignani, Nita Bharti, et al.
The Lancet. Infectious Diseases|April 6, 2020
Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling studyJuanjuan Zhang, Maria Litvinova, Wei Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 16, 2014
Opinion: Mathematical models: a key tool for outbreak responseEric T Lofgren, M Elizabeth Halloran, Caitlin M Rivers, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Evolving epidemiology of novel coronavirus diseases 2019 and possible interruption of local transmission outside Hubei Province in China: a descriptive and modeling studyJuanjuan Zhang, Maria Litvinova, Wei Wang, et al.
Pageof 20

Showing results (151-160 of 192) with videos related to

Sort By:
Pageof 20
BMC Public Health|September 22, 2014
The representativeness of a European multi-center network for influenza-like-illness participatory surveillancePietro Cantarelli, Marion Debin, Clément Turbelin, et al.
American Journal of Public Health|April 14, 2022
Collaborative Hubs: Making the Most of Predictive Epidemic ModelingNicholas G Reich, Justin Lessler, Sebastian Funk, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
The effect of human mobility and control measures on the COVID-19 epidemic in ChinaMoritz U G Kraemer, Chia-Hung Yang, Bernardo Gutierrez, et al.
PNAS Nexus|September 17, 2024
Spatial scales of COVID-19 transmission in MexicoBrennan Klein, Harrison Hartle, Munik Shrestha, et al.
BMC Medicine|December 31, 2017
Simulations for designing and interpreting intervention trials in infectious diseasesM Elizabeth Halloran, Kari Auranen, Sarah Baird, et al.
Plos One|January 29, 2016
The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease SurveillanceKristen J Margevicius, Nicholas Generous, Esteban Abeyta, et al.
Science (New York, N.Y.)|October 25, 2014
Ebola: mobility dataM Elizabeth Halloran, Alessandro Vespignani, Nita Bharti, et al.
The Lancet. Infectious Diseases|April 6, 2020
Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling studyJuanjuan Zhang, Maria Litvinova, Wei Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 16, 2014
Opinion: Mathematical models: a key tool for outbreak responseEric T Lofgren, M Elizabeth Halloran, Caitlin M Rivers, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Evolving epidemiology of novel coronavirus diseases 2019 and possible interruption of local transmission outside Hubei Province in China: a descriptive and modeling studyJuanjuan Zhang, Maria Litvinova, Wei Wang, et al.
Pageof 20