Suitability Map of COVID-19 Virus Spread

Gianpaolo Coro

This image reports a Maximum Entropy model that estimates suitable locations for COVID-19 spread, i.e. places that could favour the spread of the virus just in terms of environmental parameters. The model was trained just on locations in Italy that have reported a rate of new infections higher...

5 more version(s) exist for this record

COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes

Marek Prachar; Sune Justesen; Daniel Bisgaard Steen-Jensen; Stephan Thorgrimsen; Erik Jurgons; Ole Winther; Frederik Otzen Bagger

Datasets used in "COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes" SARS-CoV-2 peptides predicted to be binders to 11 HLA allotypes. Selected peptides have been measured in a stability assay revealing potential SARS-CoV-2 vaccine targets.  File containing...

3 more version(s) exist for this record

LG-covid19-HOTP: Literature Graph of Scholarly Articles Relevant to COVID-19 Study

Floros, Dimitris; Pitsianis, Nikos; Sun, Xiaobai

Following and in parallel to the recently released dataset CORD-19 of scholarly articles, we provide the literature graph LG-covid19-HOTP composed of not only articles (graph nodes) that are relevant to the study of coronavirus, but also citation links (graph edges) for facilitating navigation...

1 more version(s) exist for this record

python-pillow/Pillow 7.1.1

Hugo van Kemenade; wiredfool; Andrew Murray; Alex Clark; Alexander Karpinsky; Christoph Gohlke; Jon Dufresne; nulano; Brian Crowell; David Schmidt; Alastair Houghton; Konstantin Kopachev; Steve Landey; Sandro Mani; vashek; Josh Ware; Jason; David Caro; Riley Lahd; Steve Kossouho; Mickael Bonfill; Oliver Tonnhofer; Eric W. Brown; Antony Lee; Peter Rowlands (변기호); Fahad Al-Saidi; Marcin Kurczewski; Mikhail Korobov; Michał Górny; Ben Yang

https://pillow.readthedocs.io/en/stable/releasenotes/7.1.1.html

27 more version(s) exist for this record

Corresponding spreadsheet to the Paper 'Hospital intensive care unit bed management in Italy'

Fabrizio Pecoraro; Fabrizio Clemente; Daniela Luzi

The dataset reports the data collected in the Italian Ministry of Health website regarding the availability of hospital beds as well as the number of discharges and inpatient days. Data are distributed by hospital structure, year (2010 and 2017) and discipline. Additional sheets are included to...

A Twitter Dataset of 100+ million tweets related to COVID-19

Banda, Juan M.; Tekumalla, Ramya; Wang, Guanyu; Yu, Jingyuan; Liu, Tuo; Ding, Yuning; Chowell, Gerardo

Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. The first 9 weeks of data (from January 1st, 2020 to March 11th, 2020) contain very low tweet counts as we filtered other data we were...

2 more version(s) exist for this record

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations

Huang, Xiaolei; Jamison, Amelia; Broniatowski, David; Quinn, Sandra; Dredze, Mark

This dataset contains tweets related to COVID-19. The dataset contains Twitter ids, from which you can download the original data directly from Twitter. Additionally, we include the date, keywords related to COVID-19 and the inferred geolocation. Check detailed information...

Ethical standards for research during public health emergencies: Distilling existing guidance to support COVID-19 R&D

WHO Working Group on Ethics & COVID-19

There is an ethical imperative to conduct research during public health emergencies, as some research questions can be adequately investigated only in emergency contexts. Since the 2003 outbreak of the Severe Acute Respiratory Syndrome (SARS), the 2009-2010 H1N1 influenza pandemic, and the...

Statistical review of Favipiravir versus Arbidol for COVID-19: A Randomized Clinical Trial

Wilkinson, Jack; Dahly, Darren

The following review has been prepared in collaboration with members of the MRC-NIHR Trials Methodology Research Partnership. The reviewers named above, and other, unnamed discussants of the paper, are all qualified statisticians with experience in clinical trials. Our objective is to provide a...

Number of diagnoses with coronavirus disease (COVID-19) in The Netherlands

De Bruin, J

Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) based on RIVM reports in The Netherlands. Since 3 March, RIVM reports the number of diagnoses with the coronavirus and their municipality of residence on a daily base. The data contains the total...

9 more version(s) exist for this record