There is one clinical trial.
The goal of this study is to better understand how people predict the future risks of the novel Coronavirus (COVID-19). Specifically, the investigators will ask the following research questions: - How well do participants predict the future risks of COVID-19? - Can the predictions be improved by using a prediction market mechanism? - Does the prediction market reduce people's fear of COVID-19?
Description: Participants are asked 16 questions of the following format: "What do you think will be the total cumulative number of cases in Singapore on 8th of June, at 12pm?" Each question has 5 answer options. Each answer option is a range of possible outcomes. The primary outcome measure is participants' perceived likelihood of each answer option. The 16 questions come from the following variations: 4 countries (Mexico, Singapore, Turkey, USA) x 2 outcome measures (cases, deaths) x 2 time periods (8th of June, 6th of July).Measure: Predictions of COVID-19 Cases and Deaths Time: 24 hours
Description: Fear is measured by participants' responses to subjective attitude questions in the post-experiment survey. The questions are on a 5-point Likert scale.Measure: Fear Time: 24 hours (participants are required to submit post-experiment survey within 24 hours of completion of the main experiment)
Data processed on September 26, 2020.
An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.Drug Reports MeSH Reports HPO Reports