Details:

Alternative Title:
Emerg Infect Dis
Publisher's site:
http://dx.doi.org/10.3201/eid2103.141845
Personal Author:
Rainisch, Gabriel ; Shankar, Manjunath ; Wellman, Michael ; Merlin, Toby L. ; Meltzer, Martin I.
Rainisch, Gabriel ; Shankar, Manjunath ; Wellman, Michael ; Merlin, Toby L. ; Meltzer, Martin I. Less -
Description:
To explain the spread of the 2014 Ebola epidemic in West Africa, and thus help with response planning, we analyzed publicly available data. We found that the risk for infection in an area can be predicted by case counts, population data, and distances between affected and nonaffected areas.
Subjects:
[+]
Ebolavirus Geography, Medical Hemorrhagic Fever, Ebola Humans Models, Statistical Population Surveillance Risk
Source:
Emerg Infect Dis. 21(3):444-447.
Document Type:
Journal Article
Place as Subject:
Africa, Western
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:e0212509591a105e8c04af559417384743479731d5d529d5eda1d1566759e1bb
Download URL:
https://stacks.cdc.gov/view/cdc/28120/cdc_28120_DS1.pdf
File Type:

Supporting Files

• 	license.txt	txt
  	14-1845-F1.gif	gif
  	14-1845-F1.jpg	jpeg
  	14-1845-F2.gif	gif
  	14-1845-F2.jpg	jpeg
  	14-1845-Techapp-s1.pdf	pdf
  	14-1845.nxml	txt

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