Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan
Billions of users of mobile phones, social media platforms, and other technologies generate an increasingly large volume of data that has the potential to be leveraged towards solving public health challenges. These and other big data resources tend to be most successful in epidemiological applicati...
| 主要な著者: | , , , , , , , , , |
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| フォーマット: | Journal article |
| 出版事項: |
SpringerOpen
2018
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