Meet the scientists investigating the origins of the COVID pandemic.

@article{Mallapaty2020MeetTS,
  title={Meet the scientists investigating the origins of the COVID pandemic.},
  author={Smriti Mallapaty},
  journal={Nature},
  year={2020}
}
Tracing the origins of SARS-COV-2 in coronavirus phylogenies: a review
TLDR
Regardless of COVID-19 origin, studying the evolution of the molecular mechanisms involved in the emergence of pandemic viruses is essential to develop therapeutic and vaccine strategies and to prevent future zoonoses.
SARS-CoV-2 Pandemic and Food Safety Oversight: Implications in Canada and Coping Strategies
TLDR
It is explained how Canada was not adequately prepared to face the food safety challenges posed by SARS-CoV-2 and how food safety systems will adjust to better anticipate systemic risks in the future.
Greater Mouse-Eared Bats (Myotis myotis) Hibernating in the Nietoperek Bat Reserve (Poland) as a Vector of Airborne Culturable Fungi
TLDR
The first report of the airborne fungi present in the close vicinity of hibernating M. myotis in the Nietoperek bat reserve (Western Poland) by the use of culture-based techniques and genetic and phenotypic identifications is reported.
A Time Series Analysis and Forecast of COVID-19 Healthcare Disparity
TLDR
The outcome of a time series analysis and forecast of COVID 19 shows that there exists COVID-19 Health Care Disparity in the black community and the forecast suggests that the CO VID-19 health care Disparities will continue at least till the end of the first quarter of 2021.
The Role of Leadership in Public Sector Innovation: A Systematic Review and Meta-Analysis of the Management of COVID-19 in Asian Countries
TLDR
This study found that a strong political leadership presence combined with a technocratic approach and a highly-skilled public sector workforce, could lead to more tremendous success in managing the outbreak and religious leadership was also found to have a potentially significant role in COVID-19 management strategies.
A Time Series Analysis and Predictive Modeling of COVID-19 Impacts in the African American Community
TLDR
The results show that there exists a strong evidence of a disproportionate impact of COVID-19 in the states considered and that decision tree model has a slight edge over other models for predicting fatality rates in a Black county.
COVID-19 Fatality Rate Classification using Synthetic Minority Oversampling Technique (SMOTE) for Imbalance Class
TLDR
The focus of this study is to design, develop and evaluate a COVID-19 fatality rate classifier at the county level that will help government and decision makers to improve mitigation strategy and provide measures to reduce the spread of the disease.
Um framework orientado a artigos para análise semântica automática de pesquisas sobre COVID-19
In this work, we propose a framework that automatically extracts semantic topics from scientific publications related to research on COVID-19. The framework has four main building blocks: (i)
An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches
TLDR
The evaluation shows that the article-oriented framework can automatically extract relevant features from the articles, identifying the key topics covered by them, as well as the contribution of researchers, institutions, and countries to the topics.