Urged by the outbreak of the COVID-19 in Italy, this study aims at helping to tackle the spread of the disease by resorting to operations research techniques. In particular, we propose a mathematical program to model the problem of establishing how many diagnostic tests the Italian regions must perform in order to maximize the overall disease detection capability. An important feature of our approach is its simplicity: data we resort to are easy to obtain and one can employ standard optimization tools to address the problem. The results we obtain when applying our method to the Italian case seem promising.

Effectively managing diagnostic tests to monitor the COVID-19 outbreak in Italy / Lampariello, L.; Sagratella, S.. - In: OPERATIONS RESEARCH FOR HEALTH CARE. - ISSN 2211-6923. - 28:(2021). [10.1016/j.orhc.2021.100287]

Effectively managing diagnostic tests to monitor the COVID-19 outbreak in Italy

Lampariello L.
;
Sagratella S.
2021

Abstract

Urged by the outbreak of the COVID-19 in Italy, this study aims at helping to tackle the spread of the disease by resorting to operations research techniques. In particular, we propose a mathematical program to model the problem of establishing how many diagnostic tests the Italian regions must perform in order to maximize the overall disease detection capability. An important feature of our approach is its simplicity: data we resort to are easy to obtain and one can employ standard optimization tools to address the problem. The results we obtain when applying our method to the Italian case seem promising.
2021
Convex optimization; COVID-19 outbreak; Diagnostic tests management; Numerical method
01 Pubblicazione su rivista::01a Articolo in rivista
Effectively managing diagnostic tests to monitor the COVID-19 outbreak in Italy / Lampariello, L.; Sagratella, S.. - In: OPERATIONS RESEARCH FOR HEALTH CARE. - ISSN 2211-6923. - 28:(2021). [10.1016/j.orhc.2021.100287]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1540698
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