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Published in: Malaria Journal 1/2021

Open Access 01-12-2021 | Malaria | Research

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

Authors: Jane F. Namuganga, Jessica Briggs, Michelle E. Roh, Jaffer Okiring, Yasin Kisambira, Asadu Sserwanga, James A. Kapisi, Emmanuel Arinaitwe, Chris Ebong, Isaac Ssewanyana, Catherine Maiteki-Ssebuguzi, Moses R. Kamya, Sarah G. Staedke, Grant Dorsey, Joaniter I. Nankabirwa

Published in: Malaria Journal | Issue 1/2021

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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 equations and fractional regression was used to model count and proportion outcomes, respectively. Pre-COVID trends (April 2017-March 2020) were used to predict the’expected’ trend in the absence of COVID-19 introduction. Effects of COVID-19 were estimated over two six-month COVID-19 time periods (April 2020-September 2020 and October 2020–March 2021) by dividing observed values by expected values, and expressed as ratios.

Results

A total of 1,442,737 outpatient visits were recorded. Malaria was suspected in 55.3% of visits and 98.8% of these had a malaria diagnostic test performed. ITSA showed no differences between observed and expected total outpatient visits, malaria cases, non-malarial visits, or proportion of visits with suspected malaria after COVID-19 onset. However, in the second six months of the COVID-19 time period, there was a smaller mean proportion of patients tested with RDTs compared to expected (relative prevalence ratio (RPR) = 0.87, CI (0.78–0.97)) and a smaller mean proportion of malaria cases prescribed AL (RPR = 0.94, CI (0.90–0.99)).

Conclusions

In the first year after the COVID-19 pandemic arrived in Uganda, there were no major effects on malaria disease burden and indicators of case management at these 17 rural health facilities, except for a modest decrease in the proportion of RDTs used for malaria diagnosis and the mean proportion of malaria cases prescribed AL in the second half of the COVID-19 pandemic year. Continued surveillance will be essential to monitor for changes in trends in malaria indicators so that Uganda can quickly and flexibly respond to challenges imposed by COVID-19.
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Metadata
Title
Impact of COVID-19 on routine malaria indicators in rural Uganda: an interrupted time series analysis
Authors
Jane F. Namuganga
Jessica Briggs
Michelle E. Roh
Jaffer Okiring
Yasin Kisambira
Asadu Sserwanga
James A. Kapisi
Emmanuel Arinaitwe
Chris Ebong
Isaac Ssewanyana
Catherine Maiteki-Ssebuguzi
Moses R. Kamya
Sarah G. Staedke
Grant Dorsey
Joaniter I. Nankabirwa
Publication date
01-12-2021
Publisher
BioMed Central
Keywords
Malaria
COVID-19
Published in
Malaria Journal / Issue 1/2021
Electronic ISSN: 1475-2875
DOI
https://doi.org/10.1186/s12936-021-04018-0

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