Literature DB >> 31764276

Transmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis.

Forrest W Crawford1,2,3,4, Florian M Marx5, Jon Zelner6, Ted Cohen5.   

Abstract

BACKGROUND: Household contacts of people infected with a transmissible disease may be at risk due to this proximate exposure, or from other unobserved sources. Understanding variation in infection risk is essential for targeting interventions.
METHODS: We develop an analytical approach to estimate household and exogenous forces of infection, while accounting for individual-level characteristics that affect susceptibility to disease and transmissibility. We apply this approach to a cohort study conducted in Lima, Peru, of 18,544 subjects in 4,500 households with at least one active tuberculosis (TB) case and compare the results to those obtained by Poisson and logistic regression.
RESULTS: HIV-coinfected (susceptibility hazard ratio [SHR] = 3.80, 1.56-9.29), child (SHR = 1.72, 1.32-2.23), and teenage (SHR = 2.00, 1.49-2.68) household contacts of TB cases experience a higher hazard of TB than do adult contacts. Isoniazid preventive therapy (SHR = 0.30, 0.21-0.42) and Bacillus Calmette-Guérin (BCG) vaccination (SHR = 0.66, 0.51-0.86) reduce the risk of disease among household contacts. TB cases without microbiological confirmation exert a smaller hazard of TB among their close contacts compared with smear- or culture-positive cases (excess hazard ratio = 0.88, 0.82-0.93 for HIV- cases and 0.82, 0.57-0.94 for HIV+ cases). The extra household force of infection results in 0.01 (95% confidence interval [CI] = 0.004, 0.028) TB cases per susceptible household contact per year and the rate of transmission between a microbiologically confirmed TB case and susceptible household contact at 0.08 (95% CI = 0.045, 0.129) TB cases per pair per year.
CONCLUSIONS: Accounting for exposure to infected household contacts permits estimation of risk factors for disease susceptibility and transmissibility and comparison of within-household and exogenous forces of infection.

Entities:  

Mesh:

Year:  2020        PMID: 31764276      PMCID: PMC7718772          DOI: 10.1097/EDE.0000000000001143

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.860


  63 in total

1.  Estimating the relative risk in cohort studies and clinical trials of common outcomes.

Authors:  Louise-Anne McNutt; Chuntao Wu; Xiaonan Xue; Jean Paul Hafner
Journal:  Am J Epidemiol       Date:  2003-05-15       Impact factor: 4.897

2.  A discrete-time model for the statistical analysis of infectious disease incidence data.

Authors:  A H Rampey; I M Longini; M Haber; A S Monto
Journal:  Biometrics       Date:  1992-03       Impact factor: 2.571

3.  Transmissibility of Norovirus in Urban Versus Rural Households in a Large Community Outbreak in China.

Authors:  Tim K Tsang; Tian-Mu Chen; Ira M Longini; M Elizabeth Halloran; Ying Wu; Yang Yang
Journal:  Epidemiology       Date:  2018-09       Impact factor: 4.822

4.  Timing of tuberculosis transmission and the impact of household contact tracing. An agent-based simulation model.

Authors:  Parastu Kasaie; Jason R Andrews; W David Kelton; David W Dowdy
Journal:  Am J Respir Crit Care Med       Date:  2014-04-01       Impact factor: 21.405

5.  Airborne infection.

Authors:  R L Riley
Journal:  Am J Med       Date:  1974-09       Impact factor: 4.965

Review 6.  Transmission of tubercle bacilli: The effects of chemotherapy.

Authors:  A Rouillon; S Perdrizet; R Parrot
Journal:  Tubercle       Date:  1976-12

7.  Tuberculosis transmission by patients with smear-negative pulmonary tuberculosis in a large cohort in the Netherlands.

Authors:  Alma Tostmann; Sandra V Kik; Nico A Kalisvaart; Maruschka M Sebek; Suzanne Verver; Martin J Boeree; Dick van Soolingen
Journal:  Clin Infect Dis       Date:  2008-11-01       Impact factor: 9.079

8.  Nonparametric survival analysis of infectious disease data.

Authors:  Eben Kenah
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2013-03       Impact factor: 4.488

9.  Statistical inference for infectious diseases. Risk-specific household and community transmission parameters.

Authors:  I M Longini; J S Koopman; M Haber; G A Cotsonis
Journal:  Am J Epidemiol       Date:  1988-10       Impact factor: 4.897

10.  Incidence of TB and HIV in prospectively followed household contacts of TB index patients in South Africa.

Authors:  Cari van Schalkwyk; Ebrahim Variava; Adrienne E Shapiro; Modiehi Rakgokong; Katlego Masonoke; Limakatso Lebina; Alex Welte; Neil Martinson
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

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