ArticlePloS one2022
Behavioral economic methods to inform infectious disease response: Prevention, testing, and vaccination in the COVID-19 pandemic.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 48 citations in OpenAlex.
- Delay, Doubt and Dollars: Exploring Delay and Probability Discounting of Free and Paid HIV Vaccines among Sexual and Gender Minorities.AIDS and behavior · 2026Article
- Compensate at your own risk: heterogeneity in compliance with preventive behaviors through the lens of economic and social preferences.International journal of health economics and management · 2026Article
- Insights into hepatitis B vaccination decision-making: Exploring vaccine preferences, health disparities, and practice patterns among patients and healthcare providers.Human vaccines & immunotherapeutics · 2025Article
- Utility of substance-free alternatives in treating and preventing harmful substance use: A narrative review of the translational research spectrum.Drug and alcohol dependence reports · 2025Review
- Rethinking Post-COVID-19 Behavioral Science: Old Questions, New Insights.Behavioral sciences (Basel, Switzerland) · 2025Review
- Using Behavioral Economics to Inform Behavior Analyst Regulation Fees in Ontario.Behavior analysis in practice · 2025Article
- Temporal distribution of schedule-induced behavior depends on the essential value of the reinforcer.Journal of the experimental analysis of behavior · 2025Article
- "I Can't Afford the Copays, So Guess I'll Die?" Using Discounting Methodology to Quantify How Cost Affects Health-Care Utilization.Behavior and social issues · 2024Article
- COVID-19 Testing Behavior as a Predictor of COVID-19 Vaccination in Southeastern Louisiana: A Longitudinal Cohort Study.Vaccines · 2024Article
- COVID-19 vaccine refusal is driven by deliberate ignorance and cognitive distortions.NPJ vaccines · 2024Article
- Hyperbolic modeling and assessment of hypothetical health behaviors during a viral outbreak using crowdsourced samples.Journal of the experimental analysis of behavior · 2023Article
- Hyperbolic discounting and exponentiated demand: Modeling demand for cigarettes in three dimensions.Journal of the experimental analysis of behavior · 2023Article
- Matching, behavioral economics, and teleological behaviorism: Final cause analysis of substance use and health behavior.Journal of the experimental analysis of behavior · 2023Article
- Interventions to increase COVID-19 vaccine uptake: a scoping review.The Cochrane database of systematic reviews · 2022Article
- Short-sighted decision-making by those not vaccinated against COVID-19.Scientific reports · 2022Article
- Commentary on Motschman et al.: Moving behavioral economic demand into the real world means moving beyond single schedules of reinforcement.Addiction (Abingdon, England) · 2022Article
- The Effectiveness of Interventions for Increasing COVID-19 Vaccine Uptake: A Systematic Review.Vaccines · 2022Review
- Delay discounting of money and health outcomes, and adherence to policy guidelines during the COVID-19 pandemic.Frontiers in public health · 2022Article
- Probability Discounting in College Students' Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health.The Psychological record · 2022Article
- Article
Corrections and comments
- Update of
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
The role of human behavior to thwart transmission of infectious diseases like COVID-19 is evident. Psychological and behavioral science are key areas to understand decision-making processes underlying engagement in preventive health behaviors. Here we adapt well validated methods from behavioral economic discounting and demand frameworks to evaluate variables (e.g., delay, cost, probability) known to impact health behavior engagement. We examine the contribution of these mechanisms within a broader response class of behaviors reflecting adherence to public health recommendations made during the COVID-19 pandemic. Four crowdsourced samples (total N = 1,366) completed individual experiments probing a response class including social (physical) distancing, facemask wearing, COVID-19 testing, and COVID-19 vaccination. We also measure the extent to which choice architecture manipulations (e.g., framing, opt-in/opt-out) may promote (or discourage) behavior engagement. We find that people are more likely to socially distance when specified activities are framed as high risk, that facemask use during social interaction decreases systematically with greater social relationship, that describing delay until testing (rather than delay until results) increases testing likelihood, and that framing vaccine safety in a positive valence improves vaccine acceptance. These findings collectively emphasize the flexibility of methods from diverse areas of behavioral science for informing public health crisis management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.