Literature DB >> 7795319

The effect of household distribution on transmission and control of highly infectious diseases.

N G Becker1, K Dietz.   

Abstract

Two epidemic threshold parameters are derived for the spread of a highly infectious disease in a community of households, where a household is any group whose members have frequent contacts with each other. It is assumed that the infection of any member of a household results in the infection of all susceptible members of that household. The threshold parameters have simple expressions in terms of the mean household size and the mean and variance of the number of susceptibles per household. They provide a basic reproduction number R0 for the spread of infection from individual to individual and a basic reproduction number RH0 for the spread of infection from household to household. The threshold parameters are used to derive the levels of immunity required for the prevention of major epidemics in the community. They are also used to evaluate various vaccination strategies having the same vaccination coverage. For a community with households of equal size, it is found that random vaccination of individuals is better than immunizing all members of a corresponding fraction of households. In contrast, when households have varying sizes, immunizing all members of large households can be better than a corresponding vaccination coverage of randomly selected individuals. It is illustrated that these threshold parameters can also be used for a community of households with schools or day care centers. In particular, the effectiveness of immunizing all members of a school is quantified.

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Year:  1995        PMID: 7795319     DOI: 10.1016/0025-5564(94)00055-5

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  33 in total

1.  Utility of R0 as a predictor of disease invasion in structured populations.

Authors:  Paul C Cross; Philip L F Johnson; James O Lloyd-Smith; Wayne M Getz
Journal:  J R Soc Interface       Date:  2007-04-22       Impact factor: 4.118

2.  Integrating disease control strategies: balancing water sanitation and hygiene interventions to reduce diarrheal disease burden.

Authors:  Joseph N S Eisenberg; James C Scott; Travis Porco
Journal:  Am J Public Health       Date:  2007-01-31       Impact factor: 9.308

3.  Modelling the effectiveness and risks of vaccination strategies to control classical swine fever epidemics.

Authors:  Jantien A Backer; Thomas J Hagenaars; Herman J W van Roermund; Mart C M de Jong
Journal:  J R Soc Interface       Date:  2008-12-03       Impact factor: 4.118

4.  Threshold parameters for a model of epidemic spread among households and workplaces.

Authors:  L Pellis; N M Ferguson; C Fraser
Journal:  J R Soc Interface       Date:  2009-02-25       Impact factor: 4.118

5.  Preventing epidemics in a community of households.

Authors:  R Hall; N G Becker
Journal:  Epidemiol Infect       Date:  1996-12       Impact factor: 2.451

6.  Heterogeneities in the transmission of infectious agents: implications for the design of control programs.

Authors:  M E Woolhouse; C Dye; J F Etard; T Smith; J D Charlwood; G P Garnett; P Hagan; J L Hii; P D Ndhlovu; R J Quinnell; C H Watts; S K Chandiwana; R M Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  1997-01-07       Impact factor: 11.205

7.  Estimating the within-household infection rate in emerging SIR epidemics among a community of households.

Authors:  Frank Ball; Laurence Shaw
Journal:  J Math Biol       Date:  2015-03-28       Impact factor: 2.259

8.  Calculation of disease dynamics in a population of households.

Authors:  Joshua V Ross; Thomas House; Matt J Keeling
Journal:  PLoS One       Date:  2010-03-18       Impact factor: 3.240

9.  Reproductive numbers, epidemic spread and control in a community of households.

Authors:  E Goldstein; K Paur; C Fraser; E Kenah; J Wallinga; M Lipsitch
Journal:  Math Biosci       Date:  2009-06-25       Impact factor: 2.144

10.  Outbreaks of Streptococcus pneumoniae carriage in day care cohorts in Finland - implications for elimination of transmission.

Authors:  Fabian Hoti; Panu Erästö; Tuija Leino; Kari Auranen
Journal:  BMC Infect Dis       Date:  2009-06-27       Impact factor: 3.090

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