Sub-National Allocation of COVID-19 Tests: An Efficiency Criterion with an Application to Italian Regions
Identifieur interne : 000118 ( Main/Exploration ); précédent : 000117; suivant : 000119Sub-National Allocation of COVID-19 Tests: An Efficiency Criterion with an Application to Italian Regions
Auteurs : C. Baunez [France] ; Mickael Degoulet [France] ; Stéphane Luchini [France] ; Patrick Pintus [France] ; Miriam Teschl [France]Source :
Descripteurs français
- Wicri :
- geographic : Italie.
English descriptors
- mix :
Abstract
Tests are crucial to know about the number of people who have fallen ill with COVID-19 and to understand in real-time whether the dynamics of the pandemic is accelerating or decelerating. But tests are a scarce resource in many countries. The key but still open question is thus how to allocate tests across sub-national levels. We provide a data-driven and operational criterion to allocate tests efficiently across regions or provinces, with the view to maximize detection of people who have been infected. We apply our criterion to Italian regions and compute the shares of tests that should go to each region, which are shown to differ significantly from the actual distribution.
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Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000556
- to stream Hal, to step Curation: 000556
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Le document en format XML
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<country>France</country>
<placeName><settlement type="city">Marseille</settlement>
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<orgName type="university">Université d'Aix-Marseille</orgName>
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<author><name sortKey="Pintus, Patrick" sort="Pintus, Patrick" uniqKey="Pintus P" first="Patrick" last="Pintus">Patrick Pintus</name>
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<country>France</country>
<placeName><settlement type="city">Marseille</settlement>
<region type="region" nuts="2">Provence-Alpes-Côte d'Azur</region>
</placeName>
<orgName type="university">Université d'Aix-Marseille</orgName>
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<author><name sortKey="Teschl, Miriam" sort="Teschl, Miriam" uniqKey="Teschl M" first="Miriam" last="Teschl">Miriam Teschl</name>
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<orgName>Aix-Marseille Sciences Economiques</orgName>
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<desc> <address> <addrLine>Aix-Marseille UniversitéJardins du Pharo58 Boulevard Charles Livon13284 Marseille cedex 7</addrLine>
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<country>France</country>
<placeName><settlement type="city">Marseille</settlement>
<region type="region" nuts="2">Provence-Alpes-Côte d'Azur</region>
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<orgName type="university">Université d'Aix-Marseille</orgName>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>COVID-19</term>
<term>Italy</term>
<term>acceleration of harm</term>
<term>deceleration of harm</term>
<term>efficiency criterion</term>
<term>epidemic dynamics</term>
<term>real-time Analysis</term>
<term>sub-national allocation of tests</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Italie</term>
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<front><div type="abstract" xml:lang="en"> <p>Tests are crucial to know about the number of people who have fallen ill with COVID-19 and to understand in real-time whether the dynamics of the pandemic is accelerating or decelerating. But tests are a scarce resource in many countries. The key but still open question is thus how to allocate tests across sub-national levels. We provide a data-driven and operational criterion to allocate tests efficiently across regions or provinces, with the view to maximize detection of people who have been infected. We apply our criterion to Italian regions and compute the shares of tests that should go to each region, which are shown to differ significantly from the actual distribution.</p>
</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Provence-Alpes-Côte d'Azur</li>
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</settlement>
<orgName><li>Université d'Aix-Marseille</li>
</orgName>
</list>
<tree><country name="France"><region name="Provence-Alpes-Côte d'Azur"><name sortKey="Baunez, C" sort="Baunez, C" uniqKey="Baunez C" first="C." last="Baunez">C. Baunez</name>
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<name sortKey="Degoulet, Mickael" sort="Degoulet, Mickael" uniqKey="Degoulet M" first="Mickael" last="Degoulet">Mickael Degoulet</name>
<name sortKey="Luchini, Stephane" sort="Luchini, Stephane" uniqKey="Luchini S" first="Stéphane" last="Luchini">Stéphane Luchini</name>
<name sortKey="Pintus, Patrick" sort="Pintus, Patrick" uniqKey="Pintus P" first="Patrick" last="Pintus">Patrick Pintus</name>
<name sortKey="Teschl, Miriam" sort="Teschl, Miriam" uniqKey="Teschl M" first="Miriam" last="Teschl">Miriam Teschl</name>
</country>
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