Details:

Alternative Title:
Emerg Infect Dis
Publisher's site:
http://dx.doi.org/10.3201/eid1805.111467
Personal Author:
Lin, Hsien-Ho ; Shin, Sonya S. ; Contreras, Carmen ; Asencios, Luis ; Paciorek, Christopher J. ; ... More +
Lin, Hsien-Ho ; Shin, Sonya S. ; Contreras, Carmen ; Asencios, Luis ; Paciorek, Christopher J. ; Cohen, Ted Less -
Description:
To determine whether spatiotemporal information could help predict multidrug resistance at the time of tuberculosis diagnosis, we investigated tuberculosis patients who underwent drug susceptibility testing in Lima, Peru, during 2005-2007. We found that crude representation of spatial location at the level of the health center improved prediction of multidrug resistance.
Subjects:
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Antitubercular Agents Demography Drug Resistance, Multiple, Bacterial Humans Logistic Models Prognosis Risk Factors Roc Curve Tuberculosis, Multidrug-Resistant
Source:
Emerg Infect Dis. 18(5):811-813.
Document Type:
Journal Article
Funding:
DP2 OD006663/OD/NIH HHS/United States ; K23 AI054591-01/AI/NIAID NIH HHS/United States ; U19 A1076217/PHS HHS/United States ; U54 GM088558/GM/NIGMS NIH HHS/United States ; UL1 RR025758/RR/NCRR NIH HHS/United States
DP2 OD006663/OD/NIH HHS/United States ; K23 AI054591-01/AI/NIAID NIH HHS/United States ; U19 A1076217/PHS HHS/United States ; U54 GM088558/GM/NIGMS NIH HHS/United States ; UL1 RR025758/RR/NCRR NIH HHS/United States Less -
Place as Subject:
Peru
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:cb45536265b15cc7a1baf09b206d51f537c03a67c50fad3f13616333df6f889b
Download URL:
https://stacks.cdc.gov/view/cdc/23911/cdc_23911_DS1.pdf
File Type:

Supporting Files

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  	11-1467_finalD.nxml	txt
  	license.txt	txt

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