Non-healthcare system interventions and COVID-19 daily cases: a multilevel time series analysis.

ABSTRACT:

Background

The global COVID-19 pandemic has significantly impacted public health and socio-economic development worldwide. This study aims to investigate the effects of non-healthcare system interventions on the daily new cases of COVID-19 from January 2020 to October 2022.

Methods

With the aid of multilevel approach, we identified income group, region and country as stratification factors that affect the number of COVID-19 daily new cases. Data on COVID-19 cases collected by Johns Hopkins University were used, and policy implementation details were recorded through the Oxford COVID-19 Government Response Tracker dataset. To analyze the effects of national, regional, and income group factors on the number of daily new COVID-19 cases, we implemented three multilevel sequentia

SUBMITTER: Ma H 

PROVIDER: S-EPMC11966813 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature