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Literature DB >> 10470046

Perspective: human contact patterns and the spread of airborne infectious diseases.

J Wallinga¹, W J Edmunds, M Kretzschmar.

Abstract

Networks of social contacts channel the transmission of airborne infections. Emerging insights from fields of science as diverse as mathematics, population biology and the social sciences are beginning to reveal how the contact pattern of the hosts determines the spread and evolution of airborne infectious agents.

Entities: Disease Species

Mesh：

Year: 1999 PMID： 10470046 DOI： 10.1016/s0966-842x(99)01546-2

Source DB: PubMed Journal: Trends Microbiol ISSN： 0966-842X Impact factor: 17.079

Keyword Cloud
Cited

40 in total

1. Random vs. nonrandom mixing in network epidemic models.

Authors: Gregory S Zaric
Journal: Health Care Manag Sci Date: 2002-04

2. Disease evolution on networks: the role of contact structure.

Authors: Jonathan M Read; Matt J Keeling
Journal: Proc Biol Sci Date: 2003-04-07 Impact factor: 5.349

Review 3. Networks and epidemic models.

Authors: Matt J Keeling; Ken T D Eames
Journal: J R Soc Interface Date: 2005-09-22 Impact factor: 4.118

4. Space and contact networks: capturing the locality of disease transmission.

Authors: Paul E Parham; Neil M Ferguson
Journal: J R Soc Interface Date: 2006-08-22 Impact factor: 4.118

5. Investigating the potential spread of infectious diseases of sheep via agricultural shows in Great Britain.

Authors: C R Webb
Journal: Epidemiol Infect Date: 2006-02 Impact factor: 2.451

6. Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interface.

Authors: P Beutels; Z Shkedy; M Aerts; P Van Damme
Journal: Epidemiol Infect Date: 2006-05-17 Impact factor: 2.451

Perspective: human contact patterns and the spread of airborne infectious diseases.

1. Random vs. nonrandom mixing in network epidemic models.

2. Disease evolution on networks: the role of contact structure.

Review 3. Networks and epidemic models.

4. Space and contact networks: capturing the locality of disease transmission.

5. Investigating the potential spread of infectious diseases of sheep via agricultural shows in Great Britain.

6. Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interface.

7. Modelling vaccination programmes against measles in Taiwan.

8. Resource Allocation for Epidemic Control Across Multiple Sub-populations.

9. Dynamic social networks and the implications for the spread of infectious disease.

10. Determinants of cluster distribution in the molecular epidemiology of tuberculosis.