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Journal article

Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan

Abstract:

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 applications when utilized within an appropriate conceptual framework. Here, we demonstrate the importance of assumptions about host mobility in a framework for dynamic modeling of infectious disease spread...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1140/epjds/s13688-018-0144-x

Authors


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Bill and Melinda Gates Foundation More from this funder
Defense Advanced Research Projects Agency More from this funder
Publisher:
SpringerOpen Publisher's website
Journal:
EPJ Data Science Journal website
Volume:
7
Issue:
1
Pages:
16
Publication date:
2018-06-11
Acceptance date:
2018-05-31
DOI:
EISSN:
2193-1127
ISSN:
2193-1127
Pubs id:
pubs:858919
URN:
uri:5e897775-a9e1-425a-a248-732e5fc9c86c
UUID:
uuid:5e897775-a9e1-425a-a248-732e5fc9c86c
Local pid:
pubs:858919

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