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Estimating transmission intensity for a measles epidemic in Niamey, Niger: lessons for intervention by R.F. Grais; M.J. Ferrari; C. Dubray; O.N. Bjørnstad; B.T. Grenfell; A. Djibo; F. Fermon; P.J. Guerin is a Medicine article available to read on EtoBox.
What is Estimating transmission intensity for a measles epidemic in Niamey, Niger: lessons for intervention about?
The objective of this study is to estimate the effective reproductive ratio for the 2003-2004 measles epidemic in Niamey, Niger. Using the results of a retrospective and prospective study of reported cases within Niamey during the 2003-2004 epidemic, we estimate the basic reproductive ratio, effective reproductive ratio (RE) and minimal vaccination coverage necessary to avert future epidemics using a recent method allowing for estimation based on the epidemic case series. We provide these estimates for geographic areas within Niamey, thereby identifying neighbourhoods at high risk. The estimated citywide RE was 2.8, considerably lower than previous estimates, which may help explain the long duration of the epidemic. Transmission intensity varied during the course of the epidemic and within different neighbourhoods (RE range: 1.4-4.7). Our results indicate that vaccination coverage in currently susceptible children should be increased by at least 67% (vaccine efficacy 90%) to produce a citywide vaccine coverage of 90%. This research highlights the importance of local differences in vaccination coverage on the potential impact of epidemic control measures. The spatial-temporal spread
Who reads Estimating transmission intensity for a measles epidemic in Niamey, Niger: lessons for intervention?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- R.F. Grais; M.J. Ferrari; C. Dubray; O.N. Bjørnstad; B.T. Grenfell; A. Djibo; F. Fermon; P.J. Guerin
- Publisher
- Elsevier Science; Oxford University Press; Oxford University Press (OUP); ScienceOpen (ISSN 0035-9203)
- Published
- 2006
- Language
- EN
- Field
- Medicine (Health Sciences)