Publications by authors named "Antonio A Chaves"
In view of the need to manage and forecast the number of Intensive Care Unit (ICU) beds for critically ill COVID-19 patients, the Forecast UTI open access application was developed to enable hospital indicator monitoring based on past health data and the temporal dynamics of the Coronavirus epidemic. Forecast UTI also enables short-term forecasts of the number of beds occupied daily by COVID-19 patients and possible care scenarios to be established. This article presents the functions, mode of access and examples of uses of Forecast UTI, a computational tool intended to assist managers of public and private hospitals within the Brazilian National Health System by supporting quick, strategic and efficient decision-making.
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- The Coverage Location Problem (CLP) focuses on finding optimal service locations to minimize the number of facilities needed to meet demand.
- A new variation, the Coverage Location Problem with Overlap Control (CLPOC), addresses scenarios with overlapping coverage zones, ensuring that demands are met even if one facility is unavailable.
- The paper introduces a mathematical model for CLPOC, demonstrating through computational tests that it effectively reduces unnecessary overlaps while providing adequate coverage for high-demand areas.