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Review
. 2017 Dec;17(12):e420-e428.
doi: 10.1016/S1473-3099(17)30307-9. Epub 2017 Jul 27.

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

Fiona M Guerra  1 , Shelly Bolotin  2 , Gillian Lim  1 , Jane Heffernan  3 , Shelley L Deeks  2 , Ye Li  1 , Natasha S Crowcroft  4
Affiliations
Review

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

Fiona M Guerra et al. Lancet Infect Dis. 2017 Dec.

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.

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