ArticleJournal of mathematical economics2021
Optimal age- and sex-based management of the queue to ventilators during the Covid-19 crisis.
Article in Journal of mathematical economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Vaccine and inclusion.Journal of public economic theory · 2022Article
- Optimal federal transfers during uncoordinated response to a pandemic.Journal of public economic theory · 2021Article
- The economics of epidemics and contagious diseases: An introduction.Journal of mathematical economics · 2021Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triage protocols for intensive care units are based on priorities assigned to presents, but ignore patients about to arrive, so a priority newcomer may not find a ventilator and its associated nursing staff available because they are occupied by a lower-priority patient who however was present at the moment of assignment. Conversely, waiting too long leads to losing elderly patients who could have been saved by ventilators. As age and sex are major determinants of mortality by Covid-19 and have the merit, in contrast to other priority criteria, of being immediately available to health professionals, the criterion is the minimization of the mean mortality rate weighted by age- and sex-specific life expectancies. The dynamics is a queuing process involving mortality and return home flows and competition between ages. The result is the determination of an optimal threshold age that can guide triage.
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