Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Ibrahima Lansana Kaba"'
Autor:
Alexis Robert, Joseph Tsui Lok Hei, Conall H Watson, Pierre-Stéphane Gsell, Yper Hall, Andrew Rambaut, Ira M Longini, Keïta Sakoba, Adam J Kucharski, Alhassane Touré, Sévérine Danmadji Nadlaou, Mamadou Saidou Barry, Thierno Oumar Fofana, Ibrahima Lansana Kaba, Lansana Sylla, Mohamed Lamine Diaby, Ousmane Soumah, Abdourahime Diallo, Amadou Niare, Abdourahamane Diallo, Rosalind M Eggo, Miles W Caroll, Ana Maria Henao-Restrepo, W John Edmunds, Stéphane Hué
Publikováno v:
Robert, A, Tsui lok hei, J, Watson, C H, Gsell, P, Hall, Y, Rambaut, A, Longini, I M, Sakoba, K, Kucharski, A J, Touré, A, Danmadji nadlaou, S, Saidou barry, M, Fofana, T O, Lansana kaba, I, Sylla, L, Diaby, M L, Soumah, O, Diallo, A, Niare, A, Diallo, A, Eggo, R M, Caroll, M W, Henao-Restrepo, A M, Edmunds, W J & Hué, S 2023, ' Quantifying the value of viral genomics when inferring who infected whom in the 2014–16 Ebola virus outbreak in Guinea ', Virus Evolution, vol. 9, no. 1, vead007 . https://doi.org/10.1093/ve/vead007
Transmission trees can be established through detailed contact histories, statistical or phylogenetic inference, or a combination of methods. Each approach has its limitations, and the extent to which they succeed in revealing a ‘true’ transmissi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6257ed7906acbc8ef8433447955e2a55
https://www.pure.ed.ac.uk/ws/files/334762605/vead007.pdf
https://www.pure.ed.ac.uk/ws/files/334762605/vead007.pdf
Autor:
Thierno Oumar Fofana, Ana Maria Henao-Restrepo, Alexis Robert, Rosalind M Eggo, Ibrahima Lansana Kaba, Ousmane Soumah, Abdourahmane Diallo, Keita Sakoba, Lansana Sylla, Conall H. Watson, Séverine Danmadji Nadlaou, Boubacar Diallo, Abdourahime Diallo, Mohamed Lamine Diaby, Ira M. Longini, Alhassane Toure, Amadou Niare, Louceny Camara, Mamamdou Saidou Barry, W. John Edmunds, Adam J. Kucharski, Elizabeth A. Williamson, Pierre-Stéphane Gsell
Publikováno v:
American Journal of Epidemiology
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 bi