The Epidemiological and Economic Impact of COVID-19 in Kazakhstan: An Agent-Based Modeling.

ABSTRACT:

Background

Our study aimed to assess how effective the preventative measures taken by the state authorities during the pandemic were in terms of public health protection and the rational use of material and human resources.

Materials and methods

We utilized a stochastic agent-based model for COVID-19's spread combined with the WHO-recommended COVID-ESFT version 2.0 tool for material and labor cost estimation.

Results

Our long-term forecasts (up to 50 days) showed satisfactory results with a steady trend in the total cases. However, the short-term forecasts (up to 10 days) were more accurate during periods of relative stability interrupted by sudden outbreaks. The simulations indicated that the infection's spread was highest within families, with most COVID-19 cases oc

SUBMITTER: Koichubekov B 

PROVIDER: S-EPMC10671669 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature