This is a compilation of COVID-19 research insights published from 12th – 18th October 2020 in these fields: Medicine and Health Science and Engineering Social Science, Humanities and Public Policy About www.covid19bibliometrics.org Introduction: The number of confirmed cases during the current Covid-19 pandemic is escalating exponentially. At the same time, the public are constantly being inundated with a formidable quantity of information, from innumerable sources, and containing both genuine as well as fake news. The Covid-19 “infodemic” is here. Health professionals including medical doctors and nurses are busy fighting the virus on the front line in our communities and hospitals and struggling to treat the ever-growing number of cases. Scientists and technicians at their bench-tops and computers in their research laboratories, are racing to find solutions, create new protective equipment, and ideally develop a vaccine. They all need accurate, timely and reliable information upon which they can make their decisions, find solutions, and help defeat this pandemic. This initiative aims to provide reliable and timely (initially at least twice a week) web updates on the relevant published literature. “Reliable” and “timely” means that it can be trusted and it is up to date; “relevant” and “published” means that it is focused on what health professionals and scientists need when facing both the pandemic and the infodemic, and it can be trusted as sound science. We plan to make the material succinct and accessible, and to provide key bibliometric indices such as source and citation. Objectives: 1. To update the global scientific community on current Covid-19 related published papers in an accessible, timely and trusted format 2. To analyse the published papers for trends and to provide insights 3. To identify gaps in research 4. To promote international research collaboration with a view to overcoming Covid-19 and promoting recovery Methodology: Covid-19 related publications to be searched using the Scopus database using as a minimum the following keywords: 2019-nCoV, SARS-CoV-2, Covid-19, novel Coronavirus. Papers then to be categorized according to topic, research fields, institutions, countries, etc. Abstracts and papers to be reviewed for findings, trends, key insights, etc. To read previous COVID-19 research insights, please go to: https://zenodo.org/communities/covid19bibliometrics/

More information, please go to https://www.covid19bibliometrics.org/