Literature DB >> 28757186

The basic reproduction number (R0) of measles: a systematic review.

Fiona M Guerra1, Shelly Bolotin2, Gillian Lim1, Jane Heffernan3, Shelley L Deeks2, Ye Li1, Natasha S Crowcroft4.   

Abstract

The basic reproduction number, R nought (R0), is defined as the average number of secondary cases of an infectious disease arising from a typical case in a totally susceptible population, and can be estimated in populations if pre-existing immunity can be accounted for in the calculation. R0 determines the herd immunity threshold and therefore the immunisation coverage required to achieve elimination of an infectious disease. As R0 increases, higher immunisation coverage is required to achieve herd immunity. In July, 2010, a panel of experts convened by WHO concluded that measles can and should be eradicated. Despite the existence of an effective vaccine, regions have had varying success in measles control, in part because measles is one of the most contagious infections. For measles, R0 is often cited to be 12-18, which means that each person with measles would, on average, infect 12-18 other people in a totally susceptible population. We did a systematic review to find studies reporting rigorous estimates and determinants of measles R0. Studies were included if they were a primary source of R0, addressed pre-existing immunity, and accounted for pre-existing immunity in their calculation of R0. A search of key databases was done in January, 2015, and repeated in November, 2016, and yielded 10 883 unique citations. After screening for relevancy and quality, 18 studies met inclusion criteria, providing 58 R0 estimates. We calculated median measles R0 values stratified by key covariates. We found that R0 estimates vary more than the often cited range of 12-18. Our results highlight the importance of countries calculating R0 using locally derived data or, if this is not possible, using parameter estimates from similar settings. Additional data and agreed review methods are needed to strengthen the evidence base for measles elimination modelling.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28757186     DOI: 10.1016/S1473-3099(17)30307-9

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  127 in total

1.  Canine Distemper Virus Spread and Transmission to Naive Ferrets: Selective Pressure on Signaling Lymphocyte Activation Molecule-Dependent Entry.

Authors:  Bevan Sawatsky; Roberto Cattaneo; Veronika von Messling
Journal:  J Virol       Date:  2018-07-17       Impact factor: 5.103

2.  Measles outbreaks demand systems-level action locally, nationally and globally.

Authors:  Natasha S Crowcroft; Shelly Bolotin
Journal:  CMAJ       Date:  2019-07-15       Impact factor: 8.262

3.  Perspectives on personal protective equipment in acute care facilities during the COVID-19 pandemic.

Authors:  Josh Ng-Kamstra; Henry T Stelfox; Kirsten Fiest; John Conly; Jeanna Parsons Leigh
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4. 

Authors:  Josh Ng-Kamstra; Henry T Stelfox; Kirsten Fiest; John Conly; Jeanna Parsons Leigh
Journal:  CMAJ       Date:  2020-12-07       Impact factor: 8.262

5.  Evaluating vaccination policies to accelerate measles elimination in China: a meta-population modelling study.

Authors:  Lixin Hao; John W Glasser; Qiru Su; Chao Ma; Zhilan Feng; Zundong Yin; James L Goodson; Ning Wen; Chunxiang Fan; Hong Yang; Lance E Rodewald; Zijian Feng; Huaqing Wang
Journal:  Int J Epidemiol       Date:  2019-08-01       Impact factor: 7.196

6.  Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data.

Authors:  Nina B Masters; Marisa C Eisenberg; Paul L Delamater; Matthew Kay; Matthew L Boulton; Jon Zelner
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-26       Impact factor: 11.205

Review 7.  Stronger together: Multi-genome transmission of measles virus.

Authors:  Roberto Cattaneo; Ryan C Donohue; Alex R Generous; Chanakha K Navaratnarajah; Christian K Pfaller
Journal:  Virus Res       Date:  2019-03-07       Impact factor: 3.303

8.  The Response of the Anesthesia & Analgesia Community to Coronavirus Disease 2019 (COVID-19).

Authors:  Thomas R Vetter; Jean-François Pittet
Journal:  Anesth Analg       Date:  2020-04-22       Impact factor: 5.108

9.  Primary differentiated respiratory epithelial cells respond to apical measles virus infection by shedding multinucleated giant cells.

Authors:  Wen-Hsuan W Lin; Annie J Tsay; Erin N Lalime; Andrew Pekosz; Diane E Griffin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

10.  A time-delayed SVEIR model for imperfect vaccine with a generalized nonmonotone incidence and application to measles.

Authors:  Isam Al-Darabsah
Journal:  Appl Math Model       Date:  2020-10-01       Impact factor: 5.129

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