Evidence map›Paper›PMID 34930317›Full record

ArticleMalaria journal2021

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

Jane F Namuganga, Jessica Briggs, Michelle E Roh, Jaffer Okiring, Yasin Kisambira, Asadu Sserwanga, James A Kapisi, Emmanuel Arinaitwe, Chris Ebong, Isaac Ssewanyana and 5 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 38 citations in OpenAlex.

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  19. COVID-19 impacts on healthcare access in sub-Saharan Africa: an overview.The journal of venomous animals and toxins including tropical diseases · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 3 countries.

Jane F NamugangaInfectious Diseases Research Collaboration, Kampala, Uganda. jnamuganga@idrc-uganda.org.ORCID http://orcid.org/0000-0001-8452-4247
Jessica BriggsDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Michelle E RohMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA.
Jaffer OkiringInfectious Diseases Research Collaboration, Kampala, Uganda.
Yasin KisambiraInfectious Diseases Research Collaboration, Kampala, Uganda.
Asadu SserwangaInfectious Diseases Research Collaboration, Kampala, Uganda.
James A KapisiInfectious Diseases Research Collaboration, Kampala, Uganda.
Emmanuel ArinaitweInfectious Diseases Research Collaboration, Kampala, Uganda.
Chris EbongInfectious Diseases Research Collaboration, Kampala, Uganda.
Isaac SsewanyanaInfectious Diseases Research Collaboration, Kampala, Uganda.
Catherine Maiteki-SsebuguziNational Malaria Control Division, Ministry of Health, Kampala, Uganda.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Sarah G StaedkeDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK.
Grant DorseyDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Joaniter I NankabirwaInfectious Diseases Research Collaboration, Kampala, Uganda.
Infectious Diseases Research Collaboration · UGUniversity of California, San Francisco · USLondon School of Hygiene & Tropical Medicine · GBMinistry of Health · UG

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Training in malaria surveillance, epidemiology and implementation science research to strengthen malaria policy and control in UgandaD43TW010526 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2017 to 2026
$2.3M
Impact of malaria control interventions on the infectious reservoir, host immunity, and drug resistance in UgandaK43TW010365 · FIC · INFECTIOUS DISEASES RES COLLABORATION · PI NANKABIRWA, JOANITER IMMACULATE · 2017 to 2021
$514k
FIC NIH HHS D43 TW010526FIC NIH HHS D43TW010526FIC NIH HHS K43 TW010365FIC NIH HHS K43TW010365Gates Foundation INV-017894NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

backgroundIn 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.

methodsIndividual 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.

resultsA 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)).

conclusionsIn 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.

Indexed as

Ambulatory CareChronic Disease IndicatorsCOVID-19HumansInfection ControlInterrupted Time Series AnalysisMalariaRural HealthUganda

Identifiers

PMID34930317
PMCPMC8685800
OpenAlexW4200161073

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.