ArticleNature human behaviour2024
The unequal effects of the health-economy trade-off during the COVID-19 pandemic.
Article in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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.
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Who cites it
22 citing papers in PubMed.
- Comparing data assimilation and likelihood-based inference on latent state estimation in agent-based models.PNAS nexus · 2026Article
- Utilizing wastewater surveillance to model behavioural responses and prevent healthcare overload during "Disease X" outbreaks.Emerging microbes & infections · 2025Article
- Article
- Improving policy design and epidemic response using integrated models of economic choice and disease dynamics with behavioral feedback.PLoS computational biology · 2025Article
- Social inequalities in vaccine coverage and their effects on epidemic spreading.PLoS computational biology · 2025Article
- Ethical considerations in infectious disease modelling for public health policy: the case of school closures.Interface focus · 2025Article
- Notes from Self-Isolation: Imagination in Times of Ruptures.Integrative psychological & behavioral science · 2025Article
- An agent-based model of COVID- 19 in the food industry for assessing public health and economic impacts of infection control strategies.Scientific reports · 2025Article
- Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims.iScience · 2025Article
- Using human mobility data to quantify experienced urban inequalities.Nature human behaviour · 2025Review
- Modeling-based design of adaptive control strategy for the effective preparation of 'Disease X'.BMC medical informatics and decision making · 2025Article
- MetaCity: Data-driven sustainable development of complex cities.Innovation (Cambridge (Mass.)) · 2025Review
- Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.Nature communications · 2025Article
- Endogenous labour flow networks.EPJ data science · 2025Article
- Generalized contact matrices allow integrating socioeconomic variables into epidemic models.Science advances · 2024Article
- Is SARS-CoV-2 elimination or mitigation best? Regional and disease characteristics determine the recommended strategy.Royal Society open science · 2024Article
- Ethical frameworks should be applied to computational modelling of infectious disease interventions.PLoS computational biology · 2024Article
- Socio-economic pandemic modelling: case of Spain.Scientific reports · 2024Article
- The Role of COVID-19 Vaccination for Patients With Atherosclerotic Cardiovascular Disease in the Upcoming Endemic Era.Journal of lipid and atherosclerosis · 2024Review
- Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Despite the global impact of the coronavirus disease 2019 pandemic, the question of whether mandated interventions have similar economic and public health effects as spontaneous behavioural change remains unresolved. Addressing this question, and understanding differential effects across socioeconomic groups, requires building quantitative and fine-grained mechanistic models. Here we introduce a data-driven, granular, agent-based model that simulates epidemic and economic outcomes across industries, occupations and income levels. We validate the model by reproducing key outcomes of the first wave of coronavirus disease 2019 in the New York metropolitan area. The key mechanism coupling the epidemic and economic modules is the reduction in consumption due to fear of infection. In counterfactual experiments, we show that a similar trade-off between epidemic and economic outcomes exists both when individuals change their behaviour due to fear of infection and when non-pharmaceutical interventions are imposed. Low-income workers, who perform in-person occupations in customer-facing industries, face the strongest trade-off.
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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.