Economics of Implementing Preemptive School Closures to Mitigate Pandemic Influenza Outbreaks of Differing Severity in the United States
Dauelsberg, L. R.; Maskery, B.; Joo, H.; Germann, T. C.; Del Valle, S. Y.; Uzicanin, A.
Show abstract
The use of nonpharmaceutical interventions (NPIs) to slow disease spread, is a part of national pandemic preparedness as the first line of defense against influenza pandemics. Preemptive school closures (PSCs), an NPI reserved for use in severe pandemics, are highly effective in slowing influenza spread but have unintended consequences. We simulated PSC impacts during a 1957-like pandemic to estimate population impacts and quantify costs of closing schools at the national level. We also simulated 1957-like, 1968-like, and 2009-like pandemics at the Chicago regional level. We estimated economic impacts resulting from loss of income due to illness, providing childcare during closures, and other PSC costs while taking into consideration the number of cases averted with each mitigation strategy. The estimated net PSC costs ranged from $15 billion to $192 billion (2016 USD) (1957-like, national-level) where between 2.3 and 47 million US cases may be averted depending on strategy. We found that 2-week school-by-school PSCs (as opposed to county-wide or school district-wide ones) had the lowest cost per discounted life-year gained for both national and Chicago regional-level analyses of all pandemics. While feasibility of such spatiotemporally precise triggering is presently questionable for most locales, this is, theoretically, an attractive option early in an outbreak, while assessing transmissibility and severity of a novel influenza virus. In contrast, we found that county-wide PSCs of longer durations (8 to 12 weeks) would result in the most averted cases (31-47 million) and deaths (105,000-156,000), albeit at considerably more cost ($125-$150 billion net of averted illness costs) for the national-level, 1957-like analysis. The estimated net costs per death averted ($1.0 to $1.2 million) for these scenarios compare favorably to the range of values recommended for regulatory impact analyses ($4.6 to 15.0 million). Hence, economic benefits of such PSCs would exceed the population impacts and economic costs.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The effect of smaller classes on infection-related school absence: Evidence from the Project STAR randomized controlled trial 93%
- Association between vaccination rates and COVID-19 health outcomes in the United States: a population-level statistical analysis 93%
- Cost-effectiveness of antigen testing for ending COVID-19 isolation 93%
Similar papers in this journal
- Assessing COVID-19 vaccination strategies in varied demographics using an individual-based model 93%
- Projecting the impact of SARS-CoV-2 variants on the COVID-19 epidemic and social restoration in the United States: a mathematical modelling study 93%
- Social contacts and transmission of COVID-19 in British Columbia, Canada 92%
Similar papers in this journal
- Projected COVID-19 epidemic in the United States in the context of the effectiveness of a potential vaccine and implications for social distancing and face mask use 93%
- Exploring the role of mass immunisation in influenza pandemic preparedness: a modelling study for the UK context 93%
- Modelling the relative benefits of using the measles vaccine outside cold chain for outbreak response 92%
Similar papers in this journal
- The Impact of Vaccination to Control COVID-19 Burden in the United States: A Simulation Modeling Approach 95%
- Productivity costs associated with reactive school closures related to influenza or influenza-like illness in the United States from 2011 to 2019 94%
- Emerging from the COVID-19 pandemic: impacts of variants, vaccines, and duration of immunity 94%
Similar papers in this journal
- Evaluation of Contact-Tracing Policies Against the Spread of SARS-CoV-2 in Austria– An Agent-Based Simulation 90%
- Bias-adjusted predictions of county-level vaccination coverage from the COVID-19 Trends and Impact Survey 90%
- Forecasting local surges in COVID-19 hospitalizations through adaptive decision tree classifiers 90%
"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.