This paper is in the following e-collection/theme issue:

Surveillance Methods in Population and Public Health (111)

Published on in Vol 11, No 1 (2019):

Identifying High-Risk Areas for Dengue Infection Using Mobility Patterns on Twitter

Identifying High-Risk Areas for Dengue Infection Using Mobility Patterns on Twitter

Identifying High-Risk Areas for Dengue Infection Using Mobility Patterns on Twitter

Authors of this article:

Roberto Souza1 ;   Daniel B. Neill2 ;   Renato M Assuncao3 ;   Wagner Meira, Jr.3
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Osorio Arjona J, de las Obras-Loscertales Sampériz J. Estimation of mobility and population in Spain during different phases of the COVID-19 pandemic from mobile phone data. Scientific Reports 2023;13(1) View
  2. Bomfim R, Pei S, Shaman J, Yamana T, Makse H, Andrade J, Lima Neto A, Furtado V. Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas. Journal of The Royal Society Interface 2020;17(171):20200691 View
  3. Mahmood M, Mateu J, Hernández-Orallo E. Contextual contact tracing based on stochastic compartment modeling and spatial risk assessment. Stochastic Environmental Research and Risk Assessment 2022;36(3):893 View