Browsing by Author "Petranilla Nakamya"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Adverse events associated with AstraZeneca COVID-19 vaccine among adults in Greater Kampala, Uganda: a cross-sectional study
    (African Health Sciences, 2024-07-11) Allan Komakech; Jonathan Izudi; John Kamulegeya; reda L. Aceng; James Acaye; Edirisa Juniour Nsubuga; Petranilla Nakamya; Daniel Kadobera; Lilian Bulage; Benon Kwesiga; Alex R Ario
    Background: Uganda started AstraZeneca COVID-19 vaccination in March 2021 but information about adverse events is lim- ited. We assessed adverse events following AstraZeneca vaccination among adults in Greater Kampala, Uganda. Methods: In this cross-sectional study, we systematically sampled persons who had received ≥1 dose of the AstraZeneca vac- cine and collected data between March and April 2021 through telephone interviews. We defined adverse events as any untoward medical occurrence after vaccination and serious adverse events as any event leading to hospitalization, persistent disability >28 days, death, or congenital anomaly. Results: Of 374 participants aged 20-85 years, the prevalence of adverse events was 76.5%. Common adverse events included injection site redness and hadache; no serious adverse event was reported. Participants aged 20–29 years (Adjusted odds ratio (AOR) 4.58; 95% confidence interval (CI): 1.92–10.95), 30-39 years (AOR 3.69; 95% CI: 1.81–7.51) and 40-49 years (AOR 2.78; 95% CI 1.26–4.90) were more likely to develop adverse events compared to those aged ≥50 years. Conclusion: Adverse events are prevalent, largely among those aged <50 years; serious adverse events are rare. Persons aged <50 years should be targeted for surveillance of adverse events alongside appropriate health education and counselling. Keywords: Adverse events; assessment; COVID-19; Greater Kampala; Uganda
  • Thumbnail Image
    Item
    Sudan virus disease super-spreading, Uganda, 2022
    (BMC Infectious Diseases, 2024-05-23) Allan Komakech; Shannon Whitmer; Jonathan Izudi; Charles Kizito; Mackline Ninsiima; Sherry R. Ahirirwe; Zainah Kabami; Alex R. Ario; Daniel Kadobera; Benon Kwesiga; Samuel Gidudu; Richard Migisha; Issa Makumbi; Daniel Eurien; Joshua Kayiwa; Lilian Bulage; Doreen N. Gonahasa; Irene Kyamwine; Paul E. Okello; Hildah T. Nansikombi; Immaculate Atuhaire; Alice Asio; Sarah Elayeete; Edirisa J. Nsubuga; Veronica Masanja; Stella M. Migamba; Patience Mwine; Petranilla Nakamya; Rose Nampeera; Andrew Kwiringira; Rebecca Akunzirwe; Helen Nelly Naiga; Saudah K. Namubiru; Brian Agaba; Jane Frances Zalwango; Marie Gorreti Zalwango; Patrick King; Brenda Nakafeero Simbwa; Robert Zavuga; Mercy Wendy Wanyana; Thomas Kiggundu; Lawrence Oonyu; Alex Ndyabakira; Mariam Komugisha; Brian Kibwika; Innocent Ssemanda; Yasin Nuwamanya; Adams Kamukama; Dorothy Aanyu; Dominic Kizza; Sophia Mulei; Stephen Balinandi; Luke Nyakarahuka; Jimmy Baluku; Jackson Kyondo; Alex Tumusiime; Dativa Aliddeki; Ben Masiira; Esther Muwanguzi; Ivan Kimuli; Daniel Bulwadda; Herbert Isabirye; Deborah Aujo; Arthur Kasambula; Solome Okware; Emmanuel Ochien; Innocent Komakech; Charles Okot; Mary Choi3; Caitlin M. Cossaboom; Carrie Eggers; John D. Klena; Modupe O. Osinubi; Katrin S. Sadigh; Mary C. Worrell; Amy L. Boore; Trevor Shoemaker; Joel M. Montgomery; Susan N. Nabadda; Michael Mwanga; Allan N. Muruta; Julie R. Harris
    Background On 20 September 2022, Uganda declared its fifth Sudan virus disease (SVD) outbreak, culminating in 142 confirmed and 22 probable cases. The reproductive rate (R) of this outbreak was 1.25. We described persons who were exposed to the virus, became infected, and they led to the infection of an unusually high number of cases during the outbreak. Methods In this descriptive cross-sectional study, we defined a super-spreader person (SSP) as any person with real-time polymerase chain reaction (RT-PCR) confirmed SVD linked to the infection of ≥ 13 other persons (10-fold the outbreak R). We reviewed illness narratives for SSPs collected through interviews. Whole-genome sequencing was used to support epidemiologic linkages between cases. Results Two SSPs (Patient A, a 33-year-old male, and Patient B, a 26-year-old male) were identified, and linked to the infection of one probable and 50 confirmed secondary cases. Both SSPs lived in the same parish and were likely infected by a single ill healthcare worker in early October while receiving healthcare. Both sought treatment at multiple health facilities, but neither was ever isolated at an Ebola Treatment Unit (ETU). In total, 18 secondary cases (17 confirmed, one probable), including three deaths (17%), were linked to Patient A; 33 secondary cases (all confirmed), including 14 (42%) deaths, were linked to Patient B. Secondary cases linked to Patient A included family members, neighbours, and contacts at health facilities, including healthcare workers. Those linked to Patient B included healthcare workers, friends, and family members who interacted with him throughout his illness, prayed over him while he was nearing death, or exhumed his body. Intensive community engagement and awareness-building were initiated based on narratives collected about patients A and B; 49 (96%) of the secondary cases were isolated in an ETU, a median of three days after onset. Only nine tertiary cases were linked to the 51 secondary cases. Sequencing suggested plausible direct transmission from the SSPs to 37 of 39 secondary cases with sequence data. Conclusion Extended time in the community while ill, social interactions, cross-district travel for treatment, and religious practices contributed to SVD super-spreading. Intensive community engagement and awareness may have reduced the number of tertiary infections. Intensive follow-up of contacts of case-patients may help reduce the impact of super-spreading events.