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Prevalence and correlates of facemask usage during the second wave of Covid-19 pandemic in Uganda

Bibliographic Data

ID19591263
AuthorsNelson Onira Alema (Gulu University, corresponding author), Christopher Okot (Gulu Hospital, corresponding author), Emmanuel Olal (0000-0003-3841-5896, corresponding author), Eric Nzirakaindi Ikoona (0000-0003-3402-1961, corresponding author), Freddy Wathum Drinkwater Oyat (corresponding author), Steven Baguma (0000-0002-2198-2096, Gulu Hospital, corresponding author), Denish Omoya Ochula (corresponding author), Patrick Odong Olwedo (0000-0003-1457-2360, Arua Regional Referral Hospital, corresponding author), Johnson Nyeko Oloya (0000-0001-5977-7824, Moroto Hospital, corresponding author), Pebalo Francis Pebolo (0000-0002-1205-1150, Gulu University, corresponding author), Francis Pebalo Pebolo, Pamela Okot Atim (corresponding author), Godfrey Smart Okot (Kalongo Hospital, corresponding author), Ritah Nantale (0000-0001-8433-7054, Busitema University, corresponding author), Judith Aloyo (corresponding author), David Lagoro Kitara (0000-0001-7282-5026, Gulu University, corresponding author)
EditorsJulia Robinson (0000-0003-0719-3995)
Year2025
Volume5
Issue2
Pagese0002569
Publication date2025-02-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0002569
PMID39919142
OpenAlexW4407247599
LanguageEN
References cited45

The World Health Organization (WHO) and the United States Centers for Disease Control and Prevention (US CDC) documented wearing facemasks in public as one of the most important prevention measures to limit COVID-19 spread. Considering this, WHO and the US CDC developed guidelines for wearing facemasks in public. This study aimed to determine the prevalence and correlates of facemask wearing during the COVID-19 pandemic in northern Uganda. We conducted a cross-sectional study on 587 adults across nine districts in northern Uganda, across 24 high-volume health facilities offering free COVID-9 vaccines. Respondents were selected from the health facilities using a single-stage systematic sampling method. Data was collected in a face-to-face questionnaire interview with an internal validity of Cronbach’s α = 0.72 and entered into Excel. A local Institutional Research Board (IRB) approved the study, and Stata 18 was used for data analysis using Modified Poisson Regression to generate prevalence ratios (PR) and adjusted prevalence ratios (aPR), with a p-value set at

2019-20 coronavirus outbreak · Geography · Outbreak · Pandemic · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Medicine · Internal Medicine · Virology

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