Impact of COVID-19 on routine malaria indicators in rural Uganda: an interrupted time series analysis.

ABSTRACT:

Background

In March 2020, the government of Uganda implemented a strict lockdown policy in response to the COVID-19 pandemic. Interrupted time series analysis (ITSA) was performed to assess whether major changes in outpatient attendance, malaria burden, and case management occurred after the onset of the COVID-19 epidemic in rural Uganda.

Methods

Individual level data from all outpatient visits collected from April 2017 to March 2021 at 17 facilities were analysed. Outcomes included total outpatient visits, malaria cases, non-malarial visits, proportion of patients with suspected malaria, proportion of patients tested using rapid diagnostic tests (RDTs), and proportion of malaria cases prescribed artemether-lumefantrine (AL). Poisson regression with generalized estimating eq

SUBMITTER: Namuganga JF 

PROVIDER: S-EPMC8685800 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature