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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 2013–2016 Ebola epidemic in Guinea. Using negative binomial regression, we determined characteristics ass...

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Autores principales: Robert, Alexis, Edmunds, W John, Watson, Conall H, Henao-Restrepo, Ana Maria, Gsell, Pierre-Stéphane, Williamson, Elizabeth, Longini, Ira M, Sakoba, Keïta, Kucharski, Adam J, Touré, Alhassane, Nadlaou, Sévérine Danmadji, Diallo, Boubacar, Barry, Mamamdou Saidou, Fofana, Thierno Oumar, Camara, Louceny, Kaba, Ibrahima Lansana, Sylla, Lansana, Diaby, Mohamed Lamine, Soumah, Ousmane, Diallo, Abdourahime, Niare, Amadou, Diallo, Abdourahmane, Eggo, Rosalind M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601535/
https://www.ncbi.nlm.nih.gov/pubmed/30941398
http://dx.doi.org/10.1093/aje/kwz090
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author Robert, Alexis
Edmunds, W John
Watson, Conall H
Henao-Restrepo, Ana Maria
Gsell, Pierre-Stéphane
Williamson, Elizabeth
Longini, Ira M
Sakoba, Keïta
Kucharski, Adam J
Touré, Alhassane
Nadlaou, Sévérine Danmadji
Diallo, Boubacar
Barry, Mamamdou Saidou
Fofana, Thierno Oumar
Camara, Louceny
Kaba, Ibrahima Lansana
Sylla, Lansana
Diaby, Mohamed Lamine
Soumah, Ousmane
Diallo, Abdourahime
Niare, Amadou
Diallo, Abdourahmane
Eggo, Rosalind M
author_facet Robert, Alexis
Edmunds, W John
Watson, Conall H
Henao-Restrepo, Ana Maria
Gsell, Pierre-Stéphane
Williamson, Elizabeth
Longini, Ira M
Sakoba, Keïta
Kucharski, Adam J
Touré, Alhassane
Nadlaou, Sévérine Danmadji
Diallo, Boubacar
Barry, Mamamdou Saidou
Fofana, Thierno Oumar
Camara, Louceny
Kaba, Ibrahima Lansana
Sylla, Lansana
Diaby, Mohamed Lamine
Soumah, Ousmane
Diallo, Abdourahime
Niare, Amadou
Diallo, Abdourahmane
Eggo, Rosalind M
author_sort Robert, Alexis
collection PubMed
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 2013–2016 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.
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spelling pubmed-66015352019-07-05 Determinants of Transmission Risk During the Late Stage of the West African Ebola Epidemic Robert, Alexis Edmunds, W John Watson, Conall H Henao-Restrepo, Ana Maria Gsell, Pierre-Stéphane Williamson, Elizabeth Longini, Ira M Sakoba, Keïta Kucharski, Adam J Touré, Alhassane Nadlaou, Sévérine Danmadji Diallo, Boubacar Barry, Mamamdou Saidou Fofana, Thierno Oumar Camara, Louceny Kaba, Ibrahima Lansana Sylla, Lansana Diaby, Mohamed Lamine Soumah, Ousmane Diallo, Abdourahime Niare, Amadou Diallo, Abdourahmane Eggo, Rosalind M Am J Epidemiol Original Contributions 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. Oxford University Press 2019-07 2019-04-03 /pmc/articles/PMC6601535/ /pubmed/30941398 http://dx.doi.org/10.1093/aje/kwz090 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (http://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Contributions
Robert, Alexis
Edmunds, W John
Watson, Conall H
Henao-Restrepo, Ana Maria
Gsell, Pierre-Stéphane
Williamson, Elizabeth
Longini, Ira M
Sakoba, Keïta
Kucharski, Adam J
Touré, Alhassane
Nadlaou, Sévérine Danmadji
Diallo, Boubacar
Barry, Mamamdou Saidou
Fofana, Thierno Oumar
Camara, Louceny
Kaba, Ibrahima Lansana
Sylla, Lansana
Diaby, Mohamed Lamine
Soumah, Ousmane
Diallo, Abdourahime
Niare, Amadou
Diallo, Abdourahmane
Eggo, Rosalind M
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
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601535/
https://www.ncbi.nlm.nih.gov/pubmed/30941398
http://dx.doi.org/10.1093/aje/kwz090
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