J. L. Sainz-Pardo Auñón, J. Valero

Los test han sido un recurso escaso durante la mayoría de las oleadas de pandemia COVID-19. Distribuir una cantidad limitada de test en una región durante un horizonte temporal en cada una de las poblaciones de dicha región es una decisión compleja. El propósito de este trabajo es la optimización del reparto de test con la finalidad de reducir lo máximo posible el número de contagios. Para ello, a partir de un modelo SEIR modificado que incluye el efecto tanto de testar como de rastrear, desarrollamos un algoritmo heurístico.

Por otra parte, proponemos también un algoritmo heurístico para la distribución de vacunas que añade criterios espacio-temporales a las políticas ya existentes basadas en grupos prioritarios.

La validez de los métodos empleados es ilustrada mediante numerosas simulaciones así como mediante una amplia experiencia computacional.

Keywords: reducción incidencia COVID-19, distribución de test, distribución de vacunas

Scheduled

Invited Session Contributions of Statistics and Operations Research to COVID-19 II
June 10, 2022  4:00 PM
Auditorium


Other papers in the same session


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