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

被引:22
|
作者
Namuganga, Jane F. [1 ]
Briggs, Jessica [2 ]
Roh, Michelle E. [3 ]
Okiring, Jaffer [1 ]
Kisambira, Yasin [1 ]
Sserwanga, Asadu [1 ]
Kapisi, James A. [1 ]
Arinaitwe, Emmanuel [1 ]
Ebong, Chris [1 ]
Ssewanyana, Isaac [1 ]
Maiteki-Ssebuguzi, Catherine [4 ]
Kamya, Moses R. [1 ,5 ]
Staedke, Sarah G. [6 ]
Dorsey, Grant [2 ]
Nankabirwa, Joaniter, I [1 ,5 ]
机构
[1] Infect Dis Res Collaborat, Kampala, Uganda
[2] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Inst Global Hlth Sci, Malaria Eliminat Initiat, San Francisco, CA USA
[4] Minist Hlth, Natl Malaria Control Div, Kampala, Uganda
[5] Makerere Univ, Coll Hlth Sci, Dept Med, Kampala, Uganda
[6] London Sch Hyg & Trop Med, Dept Clin Res, London, England
基金
美国国家卫生研究院; 比尔及梅琳达.盖茨基金会;
关键词
INTERVENTIONS; REGRESSION;
D O I
10.1186/s12936-021-04018-0
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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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页数:11
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