Machine learning and deep learning—A review for ecologists
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
Evolutionary trajectory of SARS-CoV-2 and emerging variants
The emergence of a novel coronavirus, severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), and more recently, the independent evolution of multiple SARS-CoV-2 …
(SARS-CoV-2), and more recently, the independent evolution of multiple SARS-CoV-2 …
Climate change increases cross-species viral transmission risk
At least 10,000 virus species have the ability to infect humans but, at present, the vast
majority are circulating silently in wild mammals 1, 2. However, changes in climate and land …
majority are circulating silently in wild mammals 1, 2. However, changes in climate and land …
[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Animals and SARS‐CoV‐2: Species susceptibility and viral transmission in experimental and natural conditions, and the potential implications for community …
EC Hobbs, TJ Reid - Transboundary and Emerging Diseases, 2021 - Wiley Online Library
The current COVID‐19 global pandemic, caused by severe acute respiratory syndrome
coronavirus 2 (SARS‐CoV‐2) of probable bat origin, has highlighted the ongoing need for a …
coronavirus 2 (SARS‐CoV‐2) of probable bat origin, has highlighted the ongoing need for a …
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 ecology of viral emergence
EC Holmes - Annual Review of Virology, 2022 - annualreviews.org
The coronavirus disease 2019 (COVID-19) pandemic has had a profound impact on human
health, economic well-being, and societal function. It is essential that we use this …
health, economic well-being, and societal function. It is essential that we use this …
A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
Emerging diseases caused by coronaviruses of likely bat origin (eg, SARS, MERS, SADS,
COVID-19) have disrupted global health and economies for two decades. Evidence …
COVID-19) have disrupted global health and economies for two decades. Evidence …
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 …
How accurately can we assess zoonotic risk?
Identifying the animal reservoirs from which zoonotic viruses will likely emerge is central to
understanding the determinants of disease emergence. Accordingly, there has been an …
understanding the determinants of disease emergence. Accordingly, there has been an …