Mathematical modeling of the SARS-CoV-2 epidemic in Qatar and its impact on the national response to COVID-19.

ABSTRACT:

Background

Mathematical modeling constitutes an important tool for planning robust responses to epidemics. This study was conducted to guide the Qatari national response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic. The study investigated the epidemic's time-course, forecasted health care needs, predicted the impact of social and physical distancing restrictions, and rationalized and justified easing of restrictions.

Methods

An age-structured deterministic model was constructed to describe SARS-CoV-2 transmission dynamics and disease progression throughout the population.

Results

The enforced social and physical distancing interventions flattened the epidemic curve, reducing the peaks for incidence, prevalence, acute-care hospitalizatio

SUBMITTER: Ayoub HH 

PROVIDER: S-EPMC7897910 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature