Determinants of transmission risk during the late stage of the West African Ebola epidemic
Understanding risk factors for Ebola transmission is key for effective prediction and design of interventions. We used data on 860 cases in 129 chains of transmission from the latter half of the 2013-16 Ebola outbreak in Guinea. Using negative binomial regression, we determined characteristics assoc...
| Główni autorzy: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
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Oxford University Press
2019
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| _version_ | 1826269056072679424 |
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| author | Robert, A Edmunds, WJ Watson, CH Henao-Restrepo, AM Gsell, P-S Williamson, E Longini, IM Sakoba, K Kucharski, AJ Touré, A Nadlaou, SD Diallo, B Barry, MS Fofana, TO Camara, L Kaba, IL Sylla, L Diaby, ML Soumah, O Diallo, A Niare, A Diallo, A Eggo, RM |
| author_facet | Robert, A Edmunds, WJ Watson, CH Henao-Restrepo, AM Gsell, P-S Williamson, E Longini, IM Sakoba, K Kucharski, AJ Touré, A Nadlaou, SD Diallo, B Barry, MS Fofana, TO Camara, L Kaba, IL Sylla, L Diaby, ML Soumah, O Diallo, A Niare, A Diallo, A Eggo, RM |
| author_sort | Robert, A |
| collection | OXFORD |
| description | Understanding risk factors for Ebola transmission is key for effective prediction and design of interventions. We used data on 860 cases in 129 chains of transmission from the latter half of the 2013-16 Ebola outbreak in Guinea. Using negative binomial regression, we determined characteristics associated with the number of secondary cases resulting from each infected individual. We found that attending an Ebola Treatment Unit was associated with a 38% decrease in secondary cases (Incident rate ratio (IRR) 0.62, 95%CI: 0.38, 0.99) in individuals that did not survive. Unsafe burial was associated with a higher number of secondary cases (IRR 1.82, 95%CI: 1.10, 3.02). The average number of secondary cases was higher for the first generation of a transmission chain (mean = 1.77), compared with subsequent generations (mean = 0.70). Children were least likely to transmit (IRR 0.35 (95%CI: 0.21, 0.57) compared with adults, whereas older adults were associated with higher numbers of secondary cases. Men were less likely to transmit than women (IRR 0.71 (95%CI: 0.55, 0.93)). This detailed surveillance dataset provided an invaluable insight into transmission routes and risks. Our analysis highlights the key role that age, receiving treatment, and safe burial played in the spread of EVD. |
| first_indexed | 2024-03-06T21:19:05Z |
| format | Journal article |
| id | oxford-uuid:40d21ad2-2d72-4ba7-904f-81b61a90fb16 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T21:19:05Z |
| publishDate | 2019 |
| publisher | Oxford University Press |
| record_format | dspace |
| spelling | oxford-uuid:40d21ad2-2d72-4ba7-904f-81b61a90fb162022-03-26T14:40:06ZDeterminants of transmission risk during the late stage of the West African Ebola epidemicJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:40d21ad2-2d72-4ba7-904f-81b61a90fb16Symplectic Elements at OxfordOxford University Press2019Robert, AEdmunds, WJWatson, CHHenao-Restrepo, AMGsell, P-SWilliamson, ELongini, IMSakoba, KKucharski, AJTouré, ANadlaou, SDDiallo, BBarry, MSFofana, TOCamara, LKaba, ILSylla, LDiaby, MLSoumah, ODiallo, ANiare, ADiallo, AEggo, RMUnderstanding risk factors for Ebola transmission is key for effective prediction and design of interventions. We used data on 860 cases in 129 chains of transmission from the latter half of the 2013-16 Ebola outbreak in Guinea. Using negative binomial regression, we determined characteristics associated with the number of secondary cases resulting from each infected individual. We found that attending an Ebola Treatment Unit was associated with a 38% decrease in secondary cases (Incident rate ratio (IRR) 0.62, 95%CI: 0.38, 0.99) in individuals that did not survive. Unsafe burial was associated with a higher number of secondary cases (IRR 1.82, 95%CI: 1.10, 3.02). The average number of secondary cases was higher for the first generation of a transmission chain (mean = 1.77), compared with subsequent generations (mean = 0.70). Children were least likely to transmit (IRR 0.35 (95%CI: 0.21, 0.57) compared with adults, whereas older adults were associated with higher numbers of secondary cases. Men were less likely to transmit than women (IRR 0.71 (95%CI: 0.55, 0.93)). This detailed surveillance dataset provided an invaluable insight into transmission routes and risks. Our analysis highlights the key role that age, receiving treatment, and safe burial played in the spread of EVD. |
| spellingShingle | Robert, A Edmunds, WJ Watson, CH Henao-Restrepo, AM Gsell, P-S Williamson, E Longini, IM Sakoba, K Kucharski, AJ Touré, A Nadlaou, SD Diallo, B Barry, MS Fofana, TO Camara, L Kaba, IL Sylla, L Diaby, ML Soumah, O Diallo, A Niare, A Diallo, A Eggo, RM Determinants of transmission risk during the late stage of the West African Ebola epidemic |
| title | Determinants of transmission risk during the late stage of the West African Ebola epidemic |
| title_full | Determinants of transmission risk during the late stage of the West African Ebola epidemic |
| title_fullStr | Determinants of transmission risk during the late stage of the West African Ebola epidemic |
| title_full_unstemmed | Determinants of transmission risk during the late stage of the West African Ebola epidemic |
| title_short | Determinants of transmission risk during the late stage of the West African Ebola epidemic |
| title_sort | determinants of transmission risk during the late stage of the west african ebola epidemic |
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