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

Dados Bibliográficos

ID19591263
AutoresNelson Onira Alema (Gulu University, autor correspondente), Christopher Okot (Gulu Hospital, autor correspondente), Emmanuel Olal (0000-0003-3841-5896, autor correspondente), Eric Nzirakaindi Ikoona (0000-0003-3402-1961, autor correspondente), Freddy Wathum Drinkwater Oyat (autor correspondente), Steven Baguma (0000-0002-2198-2096, Gulu Hospital, autor correspondente), Denish Omoya Ochula (autor correspondente), Patrick Odong Olwedo (0000-0003-1457-2360, Arua Regional Referral Hospital, autor correspondente), Johnson Nyeko Oloya (0000-0001-5977-7824, Moroto Hospital, autor correspondente), Pebalo Francis Pebolo (0000-0002-1205-1150, Gulu University, autor correspondente), Francis Pebalo Pebolo, Pamela Okot Atim (autor correspondente), Godfrey Smart Okot (Kalongo Hospital, autor correspondente), Ritah Nantale (0000-0001-8433-7054, Busitema University, autor correspondente), Judith Aloyo (autor correspondente), David Lagoro Kitara (0000-0001-7282-5026, Gulu University, autor correspondente)
EditoresJulia Robinson (0000-0003-0719-3995)
Ano2025
Volume5
Fascículo2
Páginase0002569
Data de publicação2025-02-07
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPLOS Global Public Health (JOURNAL)
Identificadores do periódicoISSN: 2767-3375 • E-ISSN: 2767-3375
EditoraPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0002569
PMID39919142
OpenAlexW4407247599
IdiomaEN
Referências citadas45

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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