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

Moritz U. G. Kraemer, D. Bisanzio, R. C. Reiner, R. Zakar, Jared B. Hawkins, Clark C. Freifeld, David L. Smith, Simon I. Hay, John S. Brownstein, T. Alex Perkins. Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. EPJ Data Sci., 7(1):16, 2018. [doi]

@article{KraemerBRZHFSHB18,
  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},
  author = {Moritz U. G. Kraemer and D. Bisanzio and R. C. Reiner and R. Zakar and Jared B. Hawkins and Clark C. Freifeld and David L. Smith and Simon I. Hay and John S. Brownstein and T. Alex Perkins},
  year = {2018},
  url = {https://www.wikidata.org/entity/Q56428059},
  researchr = {https://researchr.org/publication/KraemerBRZHFSHB18},
  cites = {0},
  citedby = {0},
  journal = {EPJ Data Sci.},
  volume = {7},
  number = {1},
  pages = {16},
}