User profiles for Lily E. Cohen
 | Lily E. CohenIcahn School of Medicine at Mount Sinai Verified email at icahn.mssm.edu Cited by 308 |
[HTML][HTML] The science of the host–virus network
Better methods to predict and prevent the emergence of zoonotic viruses could support
future efforts to reduce the risk of epidemics. We propose a network science framework for …
future efforts to reduce the risk of epidemics. We propose a network science framework for …
The future of zoonotic risk prediction
In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife
virology is likely to increase, and new surveillance programmes will identify hundreds of novel …
virology is likely to increase, and new surveillance programmes will identify hundreds of novel …
[HTML][HTML] Coronavirus sampling and surveillance in bats from 1996–2019: a systematic review and meta-analysis
The emergence of SARS-CoV-2 highlights a need for evidence-based strategies to monitor
bat viruses. We performed a systematic review of coronavirus sampling (testing for RNA …
bat viruses. We performed a systematic review of coronavirus sampling (testing for RNA …
Assessing the risk of human‐to‐wildlife pathogen transmission for conservation and public health
The SARS‐CoV‐2 pandemic has led to increased concern over transmission of pathogens
from humans to animals, and its potential to threaten conservation and public health. To …
from humans to animals, and its potential to threaten conservation and public health. To …
[HTML][HTML] Projecting the SARS-CoV-2 transition from pandemicity to endemicity: Epidemiological and immunological considerations
LE Cohen, DJ Spiro, C Viboud - PLoS Pathogens, 2022 - journals.plos.org
In this review, we discuss the epidemiological dynamics of different viral infections to project
how the transition from a pandemic to endemic Severe Acute Respiratory Syndrome …
how the transition from a pandemic to endemic Severe Acute Respiratory Syndrome …
[HTML][HTML] Optimising predictive models to prioritise viral discovery in zoonotic reservoirs
Despite the global investment in One Health disease surveillance, it remains difficult and
costly to identify and monitor the wildlife reservoirs of novel zoonotic viruses. Statistical models …
costly to identify and monitor the wildlife reservoirs of novel zoonotic viruses. Statistical models …
Urban-adapted mammal species have more known pathogens
The world is rapidly urbanizing, inviting mounting concern that urban environments will
experience increased zoonotic disease risk. Urban animals could have more frequent contact …
experience increased zoonotic disease risk. Urban animals could have more frequent contact …
Predictors of severity of influenza-related hospitalizations: results from the Global Influenza Hospital Surveillance Network (GIHSN)
Background The Global Influenza Hospital Surveillance Network (GIHSN) has since 2012
provided patient-level data on severe influenza-like-illnesses from >100 participating clinical …
provided patient-level data on severe influenza-like-illnesses from >100 participating clinical …
Sampling strategies and pre-pandemic surveillance gaps for bat coronaviruses
The emergence of SARS-CoV-2, and the challenge of pinpointing its ecological and
evolutionary context, has highlighted the importance of evidence-based strategies for monitoring …
evolutionary context, has highlighted the importance of evidence-based strategies for monitoring …
Zoonotic risk technology enters the viral emergence toolkit
In light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology
is likely to increase, and new surveillance programs will identify hundreds of novel viruses …
is likely to increase, and new surveillance programs will identify hundreds of novel viruses …