Impact of COVID-19 on health services utilization in mainland China and its different regions based on S-ARIMA predictions.

ABSTRACT: Global health services are disrupted by the COVID-19 pandemic. We evaluated extent and duration of impacts of the pandemic on health services utilization in different economically developed regions of mainland China. Based on monthly health services utilization data in China, we used Seasonal Autoregressive Integrated Moving Average (S-ARIMA) models to predict outpatient and emergency department visits to hospitals (OEH visits) per capita without pandemic. The impacts were evaluated by three dimensions:1) absolute instant impacts were evaluated by difference between predicted and actual OEH visits per capita in February 2020 and relative instant impacts were the ratio of absolute impacts to baseline OEH visits per capita; 2) absolute and relative accumulative impacts from February 2020 to

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10021243 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature