Vaccine · 2025
COVID-19 vaccination status and associated factors among patients presenting with COVID-19-like symptoms in Uganda.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Kusemererwa Sylvia, Ankunda Violet, Ongaria Terry A, Abaasa Andrew, Kakande Ayoub, Ssemwanga Deogratius, Kimbugwe Geofrey, Nayiga Bernadette, Bosa Henry K, Driwale Alfred, Woldemariam Yonas T, Kisakye Annet, Humphreys James, Worwui Archibald K, Cohuet Sandra, Mwenda Jason M, Elliott Alison M, Kaleebu Pontiano, Ruzagira Eugene
Аннотация
INTRODUCTION: The emergence of new SARS-CoV-2 variants threatens the effectiveness of global vaccination campaigns. This study examines the vaccination status and associated factors among patients presenting with COVID-19-like symptoms at 19 healthcare facilities in Uganda.
MATERIALS AND METHODS: A cross-sectional analysis was conducted using data collected at health facilities to evaluate the effectiveness of COVID-19 vaccines in Uganda from March 2023 to March 2024. Participants were individuals aged 12 years and older with COVID-19-like symptoms who underwent a SARS-CoV-2 qPCR test within 10 days of symptom onset. The study involved obtaining informed consent, collecting medical and vaccination histories (confirmed using vaccination cards and Ministry of Health COVID-19 database), performing physical examinations, administering a questionnaire, and taking oral/nasopharyngeal swabs for SARS-CoV-2 qPCR testing. Vaccination coverage was defined as receiving at least one vaccine dose. Logistic regression was used to identify factors associated with vaccination status.
RESULTS: Among 1398 participants enrolled (55.4 % female), the median age was 30.0 years (IQR: 24.0-41.0). Vaccination coverage, was 66.6 %. Residing in Wakiso district compared to the Capital, Kampala was associated with a higher likelihood of vaccination (adjusted odds ratio [aOR] = 1.4, 95 % CI: 1.0-1.8, p = 0.021). Frontline and healthcare workers were more likely to be vaccinated (aOR = 5.0, 95 % CI: 3.6-7.3, p < 0.001), as were individuals with a previous COVID-19 diagnosis (aOR = 2.4, 95 % CI: 1.6-3.9, p < 0.001).
CONCLUSIONS: Our results underscore the need for targeted public health messaging and support to promote vaccination, especially among non-healthcare workers. Addressing these gaps is crucial for maintaining high vaccination coverage and mitigating the impact of new SARS-CoV-2 variants on the population.
MATERIALS AND METHODS: A cross-sectional analysis was conducted using data collected at health facilities to evaluate the effectiveness of COVID-19 vaccines in Uganda from March 2023 to March 2024. Participants were individuals aged 12 years and older with COVID-19-like symptoms who underwent a SARS-CoV-2 qPCR test within 10 days of symptom onset. The study involved obtaining informed consent, collecting medical and vaccination histories (confirmed using vaccination cards and Ministry of Health COVID-19 database), performing physical examinations, administering a questionnaire, and taking oral/nasopharyngeal swabs for SARS-CoV-2 qPCR testing. Vaccination coverage was defined as receiving at least one vaccine dose. Logistic regression was used to identify factors associated with vaccination status.
RESULTS: Among 1398 participants enrolled (55.4 % female), the median age was 30.0 years (IQR: 24.0-41.0). Vaccination coverage, was 66.6 %. Residing in Wakiso district compared to the Capital, Kampala was associated with a higher likelihood of vaccination (adjusted odds ratio [aOR] = 1.4, 95 % CI: 1.0-1.8, p = 0.021). Frontline and healthcare workers were more likely to be vaccinated (aOR = 5.0, 95 % CI: 3.6-7.3, p < 0.001), as were individuals with a previous COVID-19 diagnosis (aOR = 2.4, 95 % CI: 1.6-3.9, p < 0.001).
CONCLUSIONS: Our results underscore the need for targeted public health messaging and support to promote vaccination, especially among non-healthcare workers. Addressing these gaps is crucial for maintaining high vaccination coverage and mitigating the impact of new SARS-CoV-2 variants on the population.