H
Hao Hu
Researcher at Bill & Melinda Gates Foundation
Publications - 33
Citations - 3361
Hao Hu is an academic researcher from Bill & Melinda Gates Foundation. The author has contributed to research in topics: Vaccination & Medicine. The author has an hindex of 18, co-authored 28 publications receiving 2794 citations. Previous affiliations of Hao Hu include Indiana University.
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Multiscale mobility networks and the spatial spreading of infectious diseases
TL;DR: In this paper, the authors study the interplay between short-scale commuting flows and long-range airline traffic in shaping the spatio-temporal pattern of a global epidemic.
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Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
TL;DR: The flexible structure of the model that is open to the inclusion of different disease structures and local intervention policies makes GLEaM suitable for the computational modeling and anticipation of the spatio-temporal patterns of global epidemic spreading.
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Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility.
Duygu Balcan,Hao Hu,Bruno Gonçalves,Paolo Bajardi,Chiara Poletto,José J. Ramasco,Daniela Paolotti,Nicola Perra,Nicola Perra,Michele Tizzoni,Michele Tizzoni,Wouter Van den Broeck,Vittoria Colizza,Alessandro Vespignani,Alessandro Vespignani +14 more
TL;DR: The analysis shows the potential for an early epidemic peak occurring in October/November in the Northern hemisphere, likely before large-scale vaccination campaigns could be carried out, and suggests that the planning of additional mitigation policies such as systematic antiviral treatments might be the key to delay the activity peak in order to restore the effectiveness of the vaccination programs.
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Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models.
Marco Ajelli,Bruno Gonçalves,Duygu Balcan,Vittoria Colizza,Hao Hu,José J. Ramasco,Stefano Merler,Alessandro Vespignani +7 more
TL;DR: In this paper, a side-by-side comparison of the results obtained with a stochastic agent-based model and a structured metapopulation model was made for the progression of a baseline pandemic event in Italy, a large and geographically heterogeneous European country.
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The scaling of contact rates with population density for the infectious disease models.
TL;DR: A spatial contact model is formulated to describe the appropriate form of transmission with initial growth at low density and saturation at higher density, and a complete picture of contact rate scaling with population density may help clarify the definition of transmission rates in heterogeneous, large-scale spatial systems.