Determinants of Transmission Risk During the Late Stage of the West African Ebola Epidemic
Author(s) -
Alexis Robert,
W. John Edmunds,
Conall Watson,
Ana María Henao-Restrepo,
PierreStéphane Gsell,
Elizabeth Williamson,
Ira M. Longini,
Kéïta Sakoba,
Adam J. Kucharski,
Alhassane Touré,
Séverine Danmadji Nadlaou,
Boubacar Diallo,
Mamamdou Saidou Barry,
Thierno Oumar Fofana,
Louceny Camara,
Ibrahima Kaba,
Lansana Sylla,
Mohamed Diaby,
Ousmane Soumah,
Abdourahime Diallo,
Amadou Niare,
Abdourahmane Diallo,
Rosalind M. Eggo
Publication year - 2019
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwz090
Subject(s) - medicine , transmission (telecommunications) , confidence interval , incidence (geometry) , rate ratio , demography , optics , sociology , physics , engineering , electrical engineering
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 2013-2016 Ebola epidemic 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 (incidence rate ratio (IRR) = 0.62, 95% confidence interval (CI): 0.38, 0.99) among 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 data set 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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom