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D T JOHNSON

Biographic Data

ID5765042
NAMED T JOHNSON
GIVEN NAMESD T
FAMILY NAMEJOHNSON
SIGNATUREJOHNSON D T
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS3
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1974
LATEST PUBLICATION YEAR1995
H-INDEX1
  • Environmental risk factors for Lyme disease identified with geographic information systems

    Gregory E Glass, Brian S Schwartz et al.•ARTICLE•American Journal of Public Health•1995•Cited by: 3•References: 16

    OBJECTIVES. A geographic information system was used to identify and locate residential environmental risk factors for Lyme disease. METHODS. Data were obtained for 53 environmental variables at the residences of Lyme disease case patients in Baltimore County from 1989 through 1990 and compared with data for randomly selected addresses. A risk model was generated combining the geographic information system with logistic regression analysis. The m…

  • Charles James Fox

    D T JOHNSON, Dexter Johnson•ARTICLE•The English Historical Review•1974

  • Environmental risk factors for Lyme disease identified with geographic information systems

    Gregory E Glass, Brian S Schwartz et al.•ARTICLE•American Journal of Public Health•1995•Cited by: 3•References: 16

    OBJECTIVES. A geographic information system was used to identify and locate residential environmental risk factors for Lyme disease. METHODS. Data were obtained for 53 environmental variables at the residences of Lyme disease case patients in Baltimore County from 1989 through 1990 and compared with data for randomly selected addresses. A risk model was generated combining the geographic information system with logistic regression analysis. The m…

  • Charles James Fox

    D T JOHNSON, Dexter Johnson•ARTICLE•The English Historical Review•1974

  • Environmental risk factors for Lyme disease identified with geographic information systems

    Gregory E Glass, Brian S Schwartz et al.•ARTICLE•American Journal of Public Health•1995•Cited by: 3•References: 16

    OBJECTIVES. A geographic information system was used to identify and locate residential environmental risk factors for Lyme disease. METHODS. Data were obtained for 53 environmental variables at the residences of Lyme disease case patients in Baltimore County from 1989 through 1990 and compared with data for randomly selected addresses. A risk model was generated combining the geographic information system with logistic regression analysis. The m…

American Environmental and Regional History (1 work) · Australian History and Society (1 work) · Canadian Identity and History (1 work) · Data-Driven Disease Surveillance (1 work) · Disease (1 work) · Environmental ethics (1 work) · Environmental health (1 work) · Geography (1 work) · History (1 work) · History (1 work)

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