Literature DB >> 665658

Airborne spread of measles in a suburban elementary school.

E C Riley, G Murphy, R L Riley.   

Abstract

A measles epidemic in a modern suburban elementary school in upstate New York in spring, 1974, is analyzed in terms of a model which provides a basis for apportioning the chance of infection from classmates sharing the same home room, from airborne organisms recirculated by the ventilating system, and from exposure in school buses. The epidemic was notable because of its explosive nature and its occurrence in a school where 97% of the children had been vaccinated. Many had been vaccinated at less than one year of age. The index case was a girl in second grade who produced 28 secondary cases in 14 different classrooms. Organisms recirculated by the ventilating system were strongly implicated. After two subsequent generations, 60 children had been infected, and the epidemic subsided. From estimates of major physical and biologic factors, it was possible to calculate that the index case produced approximately 93 units of airborne infection (quanta) per minute. The epidemic pattern suggested that the secondaries were less infectious by an order of magnitude. The exceptional infectiousness of the index case, inadequate immunization of many of the children, and the high percentage of air recirculated throughout the school, are believed to account for the extent and sharpness of the outbreak.

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Year:  1978        PMID: 665658     DOI: 10.1093/oxfordjournals.aje.a112560

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  173 in total

1.  Twice vaccinated recipients are better protected against epidemic measles than are single dose recipients of measles containing vaccine.

Authors:  M Paunio; H Peltola; M Valle; I Davidkin; M Virtanen; O P Heinonen
Journal:  J Epidemiol Community Health       Date:  1999-03       Impact factor: 3.710

Review 2.  Transmission and Institutional Infection Control of Tuberculosis.

Authors:  Edward A Nardell
Journal:  Cold Spring Harb Perspect Med       Date:  2015-08-20       Impact factor: 6.915

3.  Infection risk in gyms during physical exercise.

Authors:  Alexandro Andrade; Fábio Hech Dominski; Marcelo Luiz Pereira; Carla Maria de Liz; Giorgio Buonanno
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-07       Impact factor: 4.223

4.  Modelling control measures to reduce the impact of pandemic influenza among schoolchildren.

Authors:  S-C Chen; C-M Liao
Journal:  Epidemiol Infect       Date:  2007-09-13       Impact factor: 2.451

Review 5.  The transmission and control of XDR TB in South Africa: an operations research and mathematical modelling approach.

Authors:  S Basu; A P Galvani
Journal:  Epidemiol Infect       Date:  2008-07-07       Impact factor: 2.451

6.  Mathematical models for assessing the role of airflow on the risk of airborne infection in hospital wards.

Authors:  Catherine J Noakes; P Andrew Sleigh
Journal:  J R Soc Interface       Date:  2009-10-07       Impact factor: 4.118

Review 7.  Airborne transmission of disease in hospitals.

Authors:  I Eames; J W Tang; Y Li; P Wilson
Journal:  J R Soc Interface       Date:  2009-10-14       Impact factor: 4.118

8.  Potential for airborne transmission of infection in the waiting areas of healthcare premises: stochastic analysis using a Monte Carlo model.

Authors:  Clive B Beggs; Simon J Shepherd; Kevin G Kerr
Journal:  BMC Infect Dis       Date:  2010-08-20       Impact factor: 3.090

9.  Calculating the potential for within-flight transmission of influenza A (H1N1).

Authors:  Bradley G Wagner; Brian J Coburn; Sally Blower
Journal:  BMC Med       Date:  2009-12-24       Impact factor: 8.775

10.  Cough-generated aerosols of Pseudomonas aeruginosa and other Gram-negative bacteria from patients with cystic fibrosis.

Authors:  C E Wainwright; M W France; P O'Rourke; S Anuj; T J Kidd; M D Nissen; T P Sloots; C Coulter; Z Ristovski; M Hargreaves; B R Rose; C Harbour; S C Bell; K P Fennelly
Journal:  Thorax       Date:  2009-07-01       Impact factor: 9.139

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