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...

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Detalles Bibliográficos
Autores principales: Kraemer, Moritz U. G., Bisanzio, D., Reiner, R. C., Zakar, R., Hawkins, J. B., Freifeld, C. C., Smith, D. L., Hay, S. I., Brownstein, J. S., Perkins, T. Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404370/
https://www.ncbi.nlm.nih.gov/pubmed/30854281
http://dx.doi.org/10.1140/epjds/s13688-018-0144-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404370/
https://www.ncbi.nlm.nih.gov/pubmed/30854281
http://dx.doi.org/10.1140/epjds/s13688-018-0144-x

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