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Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan.
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.
Affiliation
  • Kraemer MUG; 1Department of Pediatrics, Harvard Medical School, Boston, USA.
  • Bisanzio D; 2Computational Epidemiology Lab, Boston Children's Hospital, Boston, USA.
  • Reiner RC; 3Department of Zoology, University of Oxford, Oxford, UK.
  • Zakar R; 4RTI International, Washington, USA.
  • Hawkins JB; 5Center for Tropical Diseases, Sacro Cuore-Don Calabria Hospital, Negrar, Italy.
  • Freifeld CC; 6Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
  • Smith DL; 7Department of Public Health, University of Punjab, Lahore, Pakistan.
  • Hay SI; 1Department of Pediatrics, Harvard Medical School, Boston, USA.
  • Brownstein JS; 2Computational Epidemiology Lab, Boston Children's Hospital, Boston, USA.
  • Perkins TA; 2Computational Epidemiology Lab, Boston Children's Hospital, Boston, USA.
EPJ Data Sci ; 7(1): 16, 2018.
Article in En | MEDLINE | ID: mdl-30854281
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: EPJ Data Sci Year: 2018 Document type: Article Affiliation country: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: EPJ Data Sci Year: 2018 Document type: Article Affiliation country: United States