People

Stefano Merler

Fellow

Fondazione Bruno Kessler, Italy

Fields of study:
Epidemiology, Infectious Diseases

Stefano Merler is a mathematical modeller of infectious diseases transmission. He joined Bruno Kessler Foundation (a research center in Trento, Italy) in 1995 and now he leads the Dynamical Systems research unit. He is mainly interested in the analysis of the effects of population heterogeneity (i.e. contact patterns, demographic changes) on the spread and control of infectious diseases. He is coauthor of about 100 academic papers.

Publications

Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave

J. T. Davis, M. Chinazzi, N. Perra, K. Mu, A. Pastore Y Piontti, M. Ajelli, N. E. Dean, C. Gioannini, M. Litvinova, S. Merler, L. Rossi, K. Sun, X. Xiong, I. M. Longini Jr., M. E. Halloran, C. Viboud, A. Vespignani

Nature (2021)

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Inferring high-resolution human mixing patterns for disease modeling

D. Mistry, M. Litvinova, A. Pastore Y Piontti, M. Chinazzi, L. Fumanelli, M. F. C. Gomes, S. A. Haque, Q. Liu, K. Mu, X. Xiong, M. E. Halloran, I. M. Longini Jr., S. Merler, M. Ajelli, A. Vespignani

Nature Communications 12, 323 (2021)

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Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China

J. Zhang, M. Litvinova, Y. Liang, Y. Wang, W. Wang, S. Zhao, Q. Wu, S. Merler, C. Viboud, A. Vespignani, M. Ajelli, H. Yu

Science 368/6498 (2020)

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Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study

J. Zhang, M. Litvinova, W. Wang, Y. Wang, L. Yi, X. Chen, Q. Wu, Y. Liang, X. Wang, J. Yang, K. Sun, I. Longini, M. E. Halloran, P. Wu, B. Cowling, S. Merler, C. Viboud, A. Vespignani, M. Ajelli, H. Yu

The Lancet Infectious Diseases (2020)

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The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation

M. Ajelli, Q. Zhang, K. Sun, S. Merler, L. Fumanelli, G. Chowell, L. Simonsen, C. Viboud, A. Vespignani

Epidemics 22 (2018)

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Measurability of the epidemic reproduction number in data-driven contact networks

Q. Liu, M. Ajelli, A. Aleta, S. Merler, Y. Moreno, A. Vespignani

Proceedings of the National Academy of Sciences 115 (50), 12680-12685 (2018)

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Quantifying the risk of local Zika virus transmission in the continental US during the 2015-2016 ZIKV epidemic

K. Sun, Q. Zhang, A. Pastore Y Piontti, M. Chinazzi, D. Mistry, N. E. Dean, D. P. Rojas, S. Merler, P. Poletti, L. Rossi, M. E. Halloran, I. Longini, A. Vespignani

BMC Medicine 16:195 (2018)

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The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation

M. Aielli, Q. Zhang, K. Sun, S. Merler, L. Fumanelli, G. Chowell, L. Simonsen, C. Viboud, A. Vespignani

Epidemics 22 (2017)

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Spread of Zika virus in the Americas

Q. Zhang, K. Sun, M. Chinazzi, A. Pastore Y Piontti, N. E. Dean, D. P. Rojasc, S. Merler, D. Mistry, P. Poletti, L. Rossi, M. Braya, M. E. Hallorang, I. Longini, A. Vespignani

PNAS 114 ,22 (2017)

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