Εντοπίστηκε ένα σφάλμα στη λειτουργία της ΠΥΞΙΔΑΣ όταν χρησιμοποιείται μέσω του προγράμματος περιήγησης Safari. Μέχρι να αποκατασταθεί το πρόβλημα, προτείνουμε τη χρήση εναλλακτικού browser όπως ο Chrome ή ο Firefox. A bug has been identified in the operation of the PYXIDA platform when accessed via the Safari browser. Until the problem is resolved, we recommend using an alternative browser such as Chrome or Firefox.
 

Combining COVID-19 vaccination with social distancing measures

Μικρογραφία εικόνας

Ημερομηνία

Συγγραφείς

Magirou, Evangelos F.

Τίτλος Εφημερίδας

Περιοδικό ISSN

Τίτλος τόμου

Εκδότης

Επιβλέπων

Διαθέσιμο από

Περίληψη

We analyze an optimal control version of a simple SIR epidemiology model that includesa partially specified vaccination policy and takes into account fatigue from protractedapplication of social distancing measures. The model assumes demographic (age related)categories, and is otherwise homogeneous. Maximum capacity for vaccination is exoge-nous and the authorities select its allocation to the categories. They can also adoptmeasures to uniformly diminish the contact rate between infected and susceptible indi-viduals at an economic cost. Total or partial immunity is modeled, while the contactrate is allowed to exhibit seasonality. We apply optimal control methods to minimize acost index while guaranteeing that health system capacity is not exceeded. A reasonableparameter selection leads to policies specifying that vaccination priority should be givento the category with a higher demand for the limited health care resources regardlessof cost variations among categories. Vaccination priority reverses if some demographiccategory has significantly higher mobility while for some parameter values vaccinationalternates among categories. Optimal social distancing policies exhibit seasonality, andhence reducing susceptibles below the average spontaneous disease extinction level doesnot necessarily lead to a repeal of social distancing.

Περιγραφή

Λέξεις-κλειδιά

Optimal control, Covid-19, Social distancing

Παραπομπή

Ερευνητικό δοκίμιο

Άδεια Creative Commons