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Explaining Seasonal Fluctuations of Measles in Niger Using Nighttime Lights Imagery

Author(s): Bharti, Nita; Tatem, A. J.; Ferrari, M. J.; Grais, R. F.; Djibo, A.; et al

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dc.contributor.authorBharti, Nita-
dc.contributor.authorTatem, A. J.-
dc.contributor.authorFerrari, M. J.-
dc.contributor.authorGrais, R. F.-
dc.contributor.authorDjibo, A.-
dc.contributor.authorGrenfell, Bryan T.-
dc.date.accessioned2019-04-19T18:35:23Z-
dc.date.available2019-04-19T18:35:23Z-
dc.date.issued2011-12-09en_US
dc.identifier.citationBharti, N., Tatem, A. J., Ferrari, M. J., Grais, R. F., Djibo, A., Grenfell, B. T.. (2011). Explaining Seasonal Fluctuations of Measles in Niger Using Nighttime Lights Imagery. Science, 334 (6061), 1424 - 1427. doi:10.1126/science.1210554en_US
dc.identifier.issn0036-8075-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1zm6p-
dc.description.abstractMeasles 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.en_US
dc.format.extent1424 - 1427en_US
dc.language.isoen_USen_US
dc.relation.ispartofScienceen_US
dc.rightsAuthor's manuscripten_US
dc.titleExplaining Seasonal Fluctuations of Measles in Niger Using Nighttime Lights Imageryen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1126/science.1210554-
dc.date.eissued2011-12-08en_US
dc.identifier.eissn1095-9203-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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