ArticleProceedings of the National Academy of Sciences of the United States of America2022
Modeling for COVID-19 college reopening decisions: Cornell, a case study.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.
- Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.Systematic reviews · 2024Pooled it
- From node to network: weaving a global perspective on efficacy and costs of non-pharmaceutical interventions.Scientific reports · 2025Article
- A framework for counterfactual analysis, strategy evaluation, and control of epidemics using reproduction number estimates.PLoS computational biology · 2024Article
- Incorporating social determinants of health into transmission modeling of COVID-19 vaccine in the US: a scoping review.Lancet regional health. Americas · 2024Article
- An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: a Covid-19 case study.Scientific reports · 2024Article
- Building Environmental and Sociological Predictive Intelligence to Understand the Seasonal Threat of SARS-CoV-2 in Human Populations.The American journal of tropical medicine and hygiene · 2024Article
- Optimal Adaptive Testing for Epidemic Control: Combining Molecular and Serology Tests.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2024Article
- The role of veterinary diagnostic laboratories during COVID-19 response in the United States.PloS one · 2024Article
- Optimizing COVID-19 testing strategies on college campuses: Evaluation of the health and economic costs.PLoS computational biology · 2023Article
- Comparing intervention measures in a model of a disease outbreak on a university campus.Royal Society open science · 2023Article
- An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: A Covid-19 case study.Research square · 2023Article
- Relative role of community transmission and campus contagion in driving the spread of SARS-CoV-2: Lessons from Princeton University.PNAS nexus · 2023Article
- COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts.Emerging infectious diseases · 2023Article
- A multiplexed, paired-pooled droplet digital PCR assay for detection of SARS-CoV-2 in saliva.Scientific reports · 2023Article
- Early Introduction and Rise of the Omicron Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant in Highly Vaccinated University Populations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Virtual Versus Light Microscopy Usage among Students: A Systematic Review and Meta-Analytic Evidence in Medical Education.Diagnostics (Basel, Switzerland) · 2023Review
- Booster vaccination protection against SARS-CoV-2 infections in young adults during an Omicron BA.1-predominant period: A retrospective cohort study.PLoS medicine · 2023Article
- The impact of multiple non-pharmaceutical interventions for China-bound travel on domestic COVID-19 outbreaks.Frontiers in public health · 2023Article
- Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework.Med (New York, N.Y.) · 2022Article
- Effect of mandating vaccination on COVID-19 cases in colleges and universities.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We consider epidemiological modeling for the design of COVID-19 interventions in university populations, which have seen significant outbreaks during the pandemic. A central challenge is sensitivity of predictions to input parameters coupled with uncertainty about these parameters. Nearly 2 y into the pandemic, parameter uncertainty remains because of changes in vaccination efficacy, viral variants, and mask mandates, and because universities' unique characteristics hinder translation from the general population: a high fraction of young people, who have higher rates of asymptomatic infection and social contact, as well as an enhanced ability to implement behavioral and testing interventions. We describe an epidemiological model that formed the basis for Cornell University's decision to reopen for in-person instruction in fall 2020 and supported the design of an asymptomatic screening program instituted concurrently to prevent viral spread. We demonstrate how the structure of these decisions allowed risk to be minimized despite parameter uncertainty leading to an inability to make accurate point estimates and how this generalizes to other university settings. We find that once-per-week asymptomatic screening of vaccinated undergraduate students provides substantial value against the Delta variant, even if all students are vaccinated, and that more targeted testing of the most social vaccinated students provides further value.
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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.