Trusted sources of information on COVID-19 vaccine in Uganda

The COVID-19 pandemic has dramatically impacted communities worldwide, particularly in developing countries. To successfully control the pandemic, correct information and more than 80% vaccine coverage in a population were required. However, misinformation and disinformation could impact this, thus...

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Veröffentlicht in:BMC medical informatics and decision making 2024-05, Vol.24 (1), p.132-132, Article 132
Hauptverfasser: Nyeko Oloya, Johnson, Onira Alema, Nelson, Okot, Christopher, Olal, Emmanuel, Nzirakaindi Ikoona, Eric, Wathum Drinkwater Oyat, Freddy, Steven, Baguma, Omoya Ochula, Denish, Odong Olwedo, Patrick, Pebalo Pebolo, Francis, Okot Atim, Pamela, Smart Okot, Godfrey, Nantale, Ritah, Aloyo, Judith, Lagoro Kitara, David
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Sprache:eng
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Zusammenfassung:The COVID-19 pandemic has dramatically impacted communities worldwide, particularly in developing countries. To successfully control the pandemic, correct information and more than 80% vaccine coverage in a population were required. However, misinformation and disinformation could impact this, thus increasing COVID-19 vaccine hesitancy in communities. Several studies observed the effect of misinformation and disinformation on COVID-19 vaccine acceptance and other responses to the pandemic in the African continent. Thus, the most trusted sources of information on COVID-19 vaccines are critical for the successful management and control of the pandemic. This study aimed to assess the most trusted sources of information on COVID-19 vaccines during the pandemic in Uganda. We conducted a cross-sectional study on 587 adult population members in northern Uganda. Single-stage stratified and systematic sampling methods were used to select participants from northern Uganda. An interviewer-administered questionnaire with an internal validity of Cronbach's α = 0.72 was used for data collection. An Institution Review Board (IRB) approved this study and Stata version 18 was used for data analysis. A Pearson Chi-square (χ2) analysis was conducted to assess associations between trusted sources of COVID-19 vaccine information and selected independent variables. Fisher's exact test considered associations when the cell value following cross-tabulation was
ISSN:1472-6947
1472-6947
DOI:10.1186/s12911-024-02536-w