The University of Southampton
University of Southampton Institutional Repository

Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery

Bharti, N., Tatem, A.J., Ferrari, M.J., Grais, R.F., Djibo, A. and Grenfell, B.T. (2011) Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery Science, 334, (6061), pp. 1424-1427. (PMID:22158822).

Record type: Article

Abstract

Measles epidemics in West Africa cause a significant proportion of vaccine-preventable childhood mortality. Epidemics are strongly seasonal, but the drivers of these fluctuations are poorly understood, which limits the predictability of outbreaks and the dynamic response to immunization. We show that measles seasonality can be explained by spatiotemporal changes in population density, which we measure by quantifying anthropogenic light from satellite imagery. We find that measles transmission and population density are highly correlated for three cities in Niger. With dynamic epidemic models, we demonstrate that measures of population density are essential for predicting epidemic progression at the city level and improving intervention strategies. In addition to epidemiological applications, the ability to measure fine-scale changes in population density has implications for public health, crisis management, and economic development.

Full text not available from this repository.

More information

Published date: 9 December 2011
Organisations: PHEW – P (Population Health), Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 341188
URI: http://eprints.soton.ac.uk/id/eprint/341188
ISSN: 0036-8075
PURE UUID: 424187a2-8eff-45d3-ad39-316b4d0b2bf0
ORCID for A.J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 17 Jul 2012 11:20
Last modified: 13 Oct 2017 08:02

Export record

Contributors

Author: N. Bharti
Author: A.J. Tatem ORCID iD
Author: M.J. Ferrari
Author: R.F. Grais
Author: A. Djibo
Author: B.T. Grenfell

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×