Name (Synonyms) | Correlation | |
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D045169 | Severe Acute Respiratory Syndrome NIH | 0.05 |
D018352 | Coronavirus Infections NIH | 0.04 |
Name (Synonyms) | Correlation |
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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 hoursDescription: 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)