Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan
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Title
Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan
Authors
Keywords
Big data, Disease dynamics, Geo-located tweets, Gravity model, Human mobility, Radiation model, Spatiotemporal analysis, Twitter data
Journal
EPJ Data Science
Volume 7, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-06-11
DOI
10.1140/epjds/s13688-018-0144-x
References
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