1. Sudan virus disease super-spreading, Uganda, 2022.
- Author
-
Komakech A, Whitmer S, Izudi J, Kizito C, Ninsiima M, Ahirirwe SR, Kabami Z, Ario AR, Kadobera D, Kwesiga B, Gidudu S, Migisha R, Makumbi I, Eurien D, Kayiwa J, Bulage L, Gonahasa DN, Kyamwine I, Okello PE, Nansikombi HT, Atuhaire I, Asio A, Elayeete S, Nsubuga EJ, Masanja V, Migamba SM, Mwine P, Nakamya P, Nampeera R, Kwiringira A, Akunzirwe R, Naiga HN, Namubiru SK, Agaba B, Zalwango JF, Zalwango MG, King P, Simbwa BN, Zavuga R, Wanyana MW, Kiggundu T, Oonyu L, Ndyabakira A, Komugisha M, Kibwika B, Ssemanda I, Nuwamanya Y, Kamukama A, Aanyu D, Kizza D, Ayen DO, Mulei S, Balinandi S, Nyakarahuka L, Baluku J, Kyondo J, Tumusiime A, Aliddeki D, Masiira B, Muwanguzi E, Kimuli I, Bulwadda D, Isabirye H, Aujo D, Kasambula A, Okware S, Ochien E, Komakech I, Okot C, Choi M, Cossaboom CM, Eggers C, Klena JD, Osinubi MO, Sadigh KS, Worrell MC, Boore AL, Shoemaker T, Montgomery JM, Nabadda SN, Mwanga M, Muruta AN, and Harris JR
- Subjects
- Humans, Uganda epidemiology, Male, Cross-Sectional Studies, Adult, Female, Hemorrhagic Fever, Ebola epidemiology, Hemorrhagic Fever, Ebola virology, Whole Genome Sequencing, Ebolavirus genetics, Ebolavirus isolation & purification, Disease Outbreaks
- Abstract
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., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF