Drivers of protective behaviours during epidemics
Scantamburlo, M.; Proverbio, D.; Giordano, G.
Show abstract
Coupling the dynamics of human behaviour and epidemic diffusion is expected to provide significant benefits to the prediction of diseases and their mitigation through pharmaceutical and non-pharmaceutical interventions. However, quantitative assessment of the most valid drivers of protective behaviours are vastly missing, mostly due to scarce datasets. This limitation translates into approximated models, which often rely on the strong hypotheses about linear and direct dependency of behavioural responses to awareness, opinion dynamics, pandemic progression, or other aspects that can be compared against smaller datasets. Here, we tackle the challenge of integrating multiple datasets and quantify the impact of different drivers of protective behaviours (focusing on mask-wearing) during the COVID-19 pandemic. Multivariate analysis reveals that combinations of beliefs on behavioural efficacy, as well as direct compliance to government interventions, are more predictive than peer-pressure or awareness. Our results provide quantitative evidence about the main drivers of mask wearing behaviours, provide a reproducible method to test their impact on other protective behaviours, and test the main hypothesis underlying popular epidemic-behavioural models, fostering their refinement and interpretability.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Tracing contacts to evaluate the transmission of COVID-19 from highly exposed individuals in public transportation 95%
- Screening for safe opening of universities under Omicron and Delta variants of COVID-19: When less is more 94%
- Pareto-based evaluation of national responses to COVID-19 pandemic shows that saving lives and protecting economy are non-trade-off objectives 94%
Similar papers in this journal
- Estimating the effect of social inequalities in the mitigation of COVID-19 across communities in Santiago de Chile 96%
- Controlling the pandemic during the SARS-CoV-2 vaccination rollout: a modeling study 94%
- The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19: an individual-based modelling study 94%
Similar papers in this journal
- Autonomous and policy-induced behavior change during the COVID-19 pandemic: Towards understanding and modeling the interplay of behavioral adaptation 96%
- Modeling non-pharmaceutical interventions in the COVID-19 pandemic with survey-based simulations 96%
- A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.