608 30 4771 2 18231 document 4771 mmc1.txt text/plain 2df262b4c687597165f6b2d2f3e720f4 MD5 13773 2017-11-16 12:49:40 https://datacompass.lshtm.ac.uk/id/eprint/608/1/mmc1.txt 608 1 1 text/plain Dataset en public cc_by

mmc1.txt

data indefinite Ebola Dataset 4775 1 18257 document 4775 indexcodes.txt text/plain b42f226cd95a9564694fc25e972121779764da34cba382e1917988f15c2698b6 SHA256 786 2017-11-16 12:57:54 https://datacompass.lshtm.ac.uk/id/eprint/608/2/indexcodes.txt 608 2 2 text/plain other en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/4771 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/4771 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/4771 indefinite Generate index codes conversion from Dataset to indexcodes archive 93 disk0/00/00/06/08 2017-11-24 14:17:49 2021-07-08 12:52:08 2017-11-24 14:17:49 data_collection show Marks Michael 0000-0002-7585-4743 TRUE 54eab523b156a17f7e138e8a2b46f316 Camacho Anton 0000-0002-0023-3985 TRUE c71814a1d8dde5a9700466a3fa51507d Kucharski Adam 0000-0001-8814-9421 TRUE a1dc2f7ec42bb0301d0fa93d37bd500f Funk Sebastian 0000-0002-2842-3406 TRUE 6db8a0ab957b8fcc816ad73b6f55ef73 Edmunds John 0000-0002-9179-2917 TRUE 3c11a3a890da37a58a5f575c670687f4 Piot Peter TRUE 9b66109f1572495149da880e67bacf4a London School of Hygiene & Tropical Medicine EPID ITCR Clinical Epidemiology Sample Ebola dataset intended for use in the LSHTM “Learning Clinical Epidemiology with R” tutorial series. Dataset taken from the original outbreak of Ebola in 1976 in Democratic Republic of the Congo. Categorical data are coded with strings. This is a copy of a dataset available at https://doi.org/10.17037/DATA.27 and is used for teaching purposes. 2017-11-16 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00000608 Dataset London School of Hygiene & Tropical Medicine Observation.Field http://purl.org/dc/terms/isPartOf /id/eprint/599 public London, United Kingdom Dataset Quantitative 4.62434 31.7725 -10.8616 16.7432 en https://doi.org/10.17037/DATA.27 data http://researchonline.lshtm.ac.uk/id/eprint/2030883 2017-11-16