ArticleRoyal Society open science2020
Effects of information-induced behavioural changes during the COVID-19 lockdowns: the case of Italy.
Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 93 citations in OpenAlex.
- The impact of human behavioral adaptation stratified by immune status on COVID-19 spread with application to South Korea.PloS one · 2026Article
- Modelling behavioural changes and vaccination in the transmission of respiratory viruses with co-infection.Journal of mathematical biology · 2025Article
- Adaptive human behavior and delays in information availability autonomously modulate epidemic waves.PNAS nexus · 2025Article
- The clinical and economic costs associated with regional disparities in varicella vaccine coverage in Italy over 50 years (2020-2070).Scientific reports · 2024Article
- A Stochastic Mobility-Driven Spatially Explicit SEIQRD covid-19 Model with VOCs, Seasonality, and Vaccines.Applied mathematical modelling · 2023Article
- Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis.Applied mathematics and computation · 2023Article
- Kinetic Models for Epidemic Dynamics in the Presence of Opinion Polarization.Bulletin of mathematical biology · 2023Article
- Article
- Unraveling the dynamics of the Omicron and Delta variants of the 2019 coronavirus in the presence of vaccination, mask usage, and antiviral treatment.Applied mathematical modelling · 2023Article
- Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States.Science advances · 2023Article
- Controlling Multiple COVID-19 Epidemic Waves: An Insight from a Multi-scale Model Linking the Behaviour Change Dynamics to the Disease Transmission Dynamics.Bulletin of mathematical biology · 2022Article
- Using simulation modelling and systems science to help contain COVID-19: A systematic review.Systems research and behavioral science · 2022Article
- Article
- How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach.Applied mathematical modelling · 2022Article
- Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study.JMIR public health and surveillance · 2022Article
- A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy.Journal of theoretical biology · 2022Article
- One year of COVID-19 in Italy: are containment policies enough to shape the pandemic pattern?Socio-economic planning sciences · 2022Article
- Managing awareness can avoid hysteresis in disease spread: an application to coronavirus Covid-19.Chaos, solitons, and fractals · 2021Article
- The impact of COVID-19 pandemic on physical and mental health of Asians: A study of seven middle-income countries in Asia.PloS one · 2021Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic that started in China in December 2019 has not only threatened world public health, but severely impacted almost every facet of life, including behavioural and psychological aspects. In this paper, we focus on the 'human element' and propose a mathematical model to investigate the effects on the COVID-19 epidemic of social behavioural changes in response to lockdowns. We consider an SEIR-like epidemic model where the contact and quarantine rates depend on the available information and rumours about the disease status in the community. The model is applied to the case of the COVID-19 epidemic in Italy. We consider the period that stretches between 24 February 2020, when the first bulletin by the Italian Civil Protection was reported and 18 May 2020, when the lockdown restrictions were mostly removed. The role played by the information-related parameters is determined by evaluating how they affect suitable outbreak-severity indicators. We estimate that citizen compliance with mitigation measures played a decisive role in curbing the epidemic curve by preventing a duplication of deaths and about 46% more infections.
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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.