ListarMatemática por tema "COVID-19"

Mostrando ítems 1-5 de 5

    • A Multilayer Network Model implementation for COVID-19 

      Calvo Alpízar, Juan Gabriel; Sánchez Peña, Fabio Ariel; Barboza Chinchilla, Luis Alberto; García Puerta, Yury Elena; Vásquez Brenes, Paola Andrea (2021)
      We present a numerical implementation for a multilayer network to model the transmission of Covid-19 or other diseases with a similar transmission mechanism. The model incorporates different contact types between individuals ...

    • A multilayer network model of Covid-19: implications in public health policy in Costa Rica 

      Sánchez Peña, Fabio Ariel; Calvo Alpízar, Juan Gabriel; Mery Valdovinos, Gustavo Andrés; García Puerta, Yury Elena; Vásquez Brenes, Paola Andrea; Barboza Chinchilla, Luis Alberto; Pérez Rosales, María Dolores; Rivas Chaves, Tania (2022-05)
      Successful partnerships between researchers, experts, and public health authorities have been critical to navigate the challenges of the Covid-19 pandemic worldwide. In this collaboration, mathematical models have played ...

    • Estimación de población contagiada por Covid-19 usando regresión Logística generalizada y heurísticas de optimización 

      Villalobos Arias, Mario Alberto (2020-04-02)
      En este trabajos se presenta una propuesta para la estimación de la poblaciones usando ajuste de curvas del tipo logística. Este tipo de curvas se utilizan para el estudio de crecimiento de poblaciones, en este casos ...

    • The role of SARS-CoV-2 testing on hospitalizations in California 

      Montesinos López, José Cricelio; Daza Torres, María Luisa; García Puerta, Yury Elena; Barboza Chinchilla, Luis Alberto; Sánchez Peña, Fabio Ariel; Schmidt, Alec J.; Pollock, Bradley H.; Nuño, Miriam A (2021-12-03)
      The rapid spread of the new SARS-CoV-2 virus triggered a global health crisis, disproportionately impacting people with pre-existing health conditions and particular demographic and socioeconomic characteristics. One of ...

    • Using generalized logistics regression to forecast population infected by Covid-19 

      Villalobos Arias, Mario Alberto (2020-04-05)
      In this work, a proposal to forecast the populations using generalized logistics regression curve fitting is presented. This type of curve is used to study population growth, in this case population of people infected ...