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Impact of COVID-19 on routine malaria indicators in Uganda: An interrupted time series analysis.
Namuganga, Jane Frances; Briggs, Jessica; Roh, Michelle E; Okiring, Jaffer; Kisambira, Yasin; Sserwanga, Asadu; Kapisi, James Apollo; Arinaitwe, Emmanuel; Ebong, Chris; Ssewanyana, Isaac; Greenhouse, Bryan; Maiteki-Ssebuguzi, Catherine; Kamya, Moses R; Staedke, Sarah G; Dorsey, Grant; Nankabirwa, Joaniter I.
Afiliación
  • Namuganga JF; Infectious Diseases Research Collaboration.
  • Briggs J; University of California San Francisco.
  • Roh ME; University of California San Francisco.
  • Okiring J; IDRC: Infectious Diseases Research Collaboration.
  • Kisambira Y; IDRC: Infectious Diseases Research Collaboration.
  • Sserwanga A; Infectious Diseases Research Collaboration.
  • Kapisi JA; Infectious Diseases Research Collaboration.
  • Arinaitwe E; Infectious Diseases Research Collaboration.
  • Ebong C; Infectious Diseases Research Collaboration.
  • Ssewanyana I; IDRC: Infectious Diseases Research Collaboration.
  • Greenhouse B; University of California San Francisco.
  • Maiteki-Ssebuguzi C; MOH: Republic of Uganda Ministry of Health.
  • Kamya MR; IDRC: Infectious Diseases Research Collaboration.
  • Staedke SG; London School of Hygiene & Tropical Medicine.
  • Dorsey G; University of California San Francisco.
  • Nankabirwa JI; Infectious Diseases Research Collaboration.
Res Sq ; 2021 Aug 18.
Article en En | MEDLINE | ID: mdl-34426808
Background In March 2020, the government of Uganda implemented a strict lockdown policy in response to the COVID-19 pandemic. We performed an interrupted time series analysis (ITSA) to assess whether major changes in healthcare seeking behavior, malaria burden, and case management occurred after the onset of the COVID-19 epidemic. Methods Individual level data from all outpatient visits occurring from April 2017 through March 2021 at 17 facilities were analyzed. Outcomes included total outpatient visits, malaria cases, non-malarial visits, proportion of visits with suspected malaria, proportion of patients tested using rapid diagnostic tests (RDTs), and proportion of malaria cases prescribed artemether-lumefantrine (AL). Pre-COVID trends measured over a three-year period were extrapolated into the post-COVID period (April 2020- March 2021) using Poisson regression with generalized estimating equations or fractional regression. Effects of COVID-19 were estimated over the 12-month post-COVID period by dividing observed values by the predicted 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 in the observed versus predicted total outpatient visits, malaria cases, non-malarial visits, or proportion of visits with suspected malaria. However, in the second six months of the post-COVID period, there was a smaller mean proportion of patients tested with RDTs compared to predicted (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 There was evidence for a modest decrease in the proportion of RDTs used for malaria diagnosis and the proportion of patients prescribed AL in the second half of the post-COVID year, while other malaria indicators remained stable. 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.

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Res Sq Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Res Sq Año: 2021 Tipo del documento: Article