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Clinical Trials/NCT04410692
NCT04410692CompletedNot Applicable

Can the Prediction Market Improve Predictions of COVID-19?

National University of Singapore1 site in 1 country560 target enrollmentStarted: May 15, 2020Last updated:
Conditions
Interventions

Trial Snapshot

Phase
Not Applicable
Status
Completed
Enrollment
560
Locations
1
Primary Endpoint
Predictions of COVID-19 Cases and Deaths

Study Overview

Brief Summary

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?

Detailed Description

The proposed study is an online experiment. Students enrolled at National University of Singapore are recruited to participate in the study.

Participants will first complete a pre-experiment survey, which contains basic demographic questions. Then, participants will be randomly assigned to one of two conditions: "Survey" and "Prediction Market".

"SURVEY" CONDITION:

Participants in the "Survey" condition are asked 16 prediction questions in a survey format. The questions are of the following format:

"What do you think will be the total cumulative number of cases in Singapore on 8th of June, at 12pm?"

Study Design

Study Type
Interventional
Allocation
Randomized
Intervention Model
Parallel
Primary Purpose
Other
Masking
None

Eligibility Criteria

Ages
18 Years to — (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
Yes

Inclusion Criteria

  • •National University of Singapore students

Exclusion Criteria

  • Not provided

Arms & Interventions

Control

No Intervention

Participants' COVID-19 predictions are elicited via a survey

Treatment

Experimental

Participants' COVID-19 predictions are elicited via a prediction market

Intervention: Prediction Market (Other)

Outcomes

Primary Outcomes

Predictions of COVID-19 Cases and Deaths

Time Frame: 24 hours

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).

Secondary Outcomes

  • Fear(24 hours (participants are required to submit post-experiment survey within 24 hours of completion of the main experiment))

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Ho Teck Hua

Senior Deputy President & Provost

National University of Singapore

Study Sites (1)

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