Epidemiological and Viral Genomic Sequence Analysis of the 2014 Ebola Outbreak Reveals Clustered Transmission
Open Access
- 15 December 2014
- journal article
- research article
- Published by Oxford University Press (OUP) in Clinical Infectious Diseases
- Vol. 60 (7), 1079-1082
- https://doi.org/10.1093/cid/ciu1131
Abstract
Using Ebolavirus genomic and epidemiological data, we conducted the first joint analysis in which both data types were used to fit dynamic transmission models for an ongoing outbreak. Our results indicate that transmission is clustered, highlighting a potential bias in medical demand forecasts, and provide the first empirical estimate of underreporting.Keywords
This publication has 19 references indexed in Scilit:
- Ebola vaccine trials raise ethical issuesScience, 2014
- Ebola Virus Disease in West Africa — The First 9 Months of the Epidemic and Forward ProjectionsNew England Journal of Medicine, 2014
- Ebola outbreak is a public health emergency of international concern, WHO warnsBMJ, 2014
- Estimating the Reproduction Number of Ebola Virus (EBOV) During the 2014 Outbreak in West AfricaPLoS Currents, 2014
- Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic DataPLoS Computational Biology, 2013
- Models of epidemics: when contact repetition and clustering should be includedTheoretical Biology and Medical Modelling, 2009
- A likelihood‐based method for real‐time estimation of the serial interval and reproductive number of an epidemicStatistics in Medicine, 2007
- Ebola Hemorrhagic Fever Transmission and Risk Factors of Contacts, Uganda1Emerging Infectious Diseases, 2003
- The Reemergence of Ebola Hemorrhagic Fever, Democratic Republic of the Congo, 1995The Journal of Infectious Diseases, 1999
- Transmission of Ebola Hemorrhagic Fever: A Study of Risk Factors in Family Members, Kikwit, Democratic Republic of the Congo, 1995The Journal of Infectious Diseases, 1999