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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6601535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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