Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting

Journal of Theoretical Biology

Volumn 289, Issue 1, 2011, Pages 197-205

  Guzzetta, Giorgio ^a,b   Ajelli, Marco ^a   Yang, Zhenhua ^c   Merler, Stefano ^a   Furlanello, Cesare ^a   Kirschner, Denise ^d  

^a FONDAZIONE BRUNO KESSLER   (Italy)

^b UNIVERSITY OF PISA   (Italy)

^c UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Contact network investigation; Endemic diseases; Epidemiological modeling; Individual based models; Latent TB infection

Indexed keywords

AGE STRUCTURE; DEMOGRAPHY; DISEASE PREVALENCE; DISEASE SPREAD; ENDEMISM; INFECTIOUS DISEASE; NUMERICAL MODEL;

AGE DISTRIBUTION; ARTICLE; BACTERIAL TRANSMISSION; CONTROLLED STUDY; DEMOGRAPHY; HOUSEHOLD; INDIVIDUAL BASED MODEL; INFECTION RATE; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MOLECULAR EPIDEMIOLOGY; ORDINARY DIFFERENTIAL EQUATION MODEL; POSTPRIMARY TUBERCULOSIS; PREDICTION; PRIORITY JOURNAL; SCHOOL; SOCIAL STRUCTURE; TUBERCULOSIS; UNITED STATES; WORKPLACE;

ADOLESCENT; ADULT; AGE DISTRIBUTION; AGE FACTORS; AGED; ARKANSAS; CHILD; CHILD, PRESCHOOL; CONTACT TRACING; ENDEMIC DISEASES; EPIDEMIOLOGIC METHODS; HUMANS; INFANT; INFANT, NEWBORN; INTERPERSONAL RELATIONS; LATENT TUBERCULOSIS; MIDDLE AGED; MODELS, BIOLOGICAL; TUBERCULOSIS; YOUNG ADULT;

EID: 80052824125     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2011.08.032     Document Type: Article

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