The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of
the use of mobile phone data in outbreak response. Mobile phone data have been proposed …
the use of mobile phone data in outbreak response. Mobile phone data have been proposed …
A balance act: minimizing economic loss while controlling novel coronavirus pneumonia
Abstract The outbreak of Novel Coronavirus Pneumonia (NCP) has significantly affected
China and beyond. How to effectively control such epidemic has gradually become a global …
China and beyond. How to effectively control such epidemic has gradually become a global …
Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions
INTRODUCTION When faced with the outbreak of a novel epidemic such as coronavirus
disease 2019 (COVID-19), rapid response measures are required by individuals, as well as …
disease 2019 (COVID-19), rapid response measures are required by individuals, as well as …
The impact of COVID-19 nonpharmaceutical interventions on the future dynamics of endemic infections
Nonpharmaceutical interventions (NPIs) have been employed to reduce the transmission of
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), yet these measures are …
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), yet these measures are …
Nipah virus dynamics in bats and implications for spillover to humans
Nipah virus (NiV) is an emerging bat-borne zoonotic virus that causes near-annual
outbreaks of fatal encephalitis in South Asia—one of the most populous regions on Earth. In …
outbreaks of fatal encephalitis in South Asia—one of the most populous regions on Earth. In …
Urbanization and humidity shape the intensity of influenza epidemics in US cities
Influenza epidemics vary in intensity from year to year, driven by climatic conditions and by
viral antigenic evolution. However, important spatial variation remains unexplained. Here we …
viral antigenic evolution. However, important spatial variation remains unexplained. Here we …
[HTML][HTML] Peer-to-peer contact tracing: development of a privacy-preserving smartphone app
Background The novel coronavirus disease 2019 (COVID-19) pandemic is an urgent public
health crisis, with epidemiologic models predicting severe consequences, including high …
health crisis, with epidemiologic models predicting severe consequences, including high …
A large and persistent carbon sink in the world's forests
The terrestrial carbon sink has been large in recent decades, but its size and location remain
uncertain. Using forest inventory data and long-term ecosystem carbon studies, we estimate …
uncertain. Using forest inventory data and long-term ecosystem carbon studies, we estimate …
Discrete-time temporal network embedding via implicit hierarchical learning in hyperbolic space
Representation learning over temporal networks has drawn considerable attention in recent
years. Efforts are mainly focused on modeling structural dependencies and temporal …
years. Efforts are mainly focused on modeling structural dependencies and temporal …
[책][B] Modeling infectious diseases in humans and animals
MJ Keeling, P Rohani - 2008 - books.google.com
For epidemiologists, evolutionary biologists, and health-care professionals, real-time and
predictive modeling of infectious disease is of growing importance. This book provides a …
predictive modeling of infectious disease is of growing importance. This book provides a …