Cargando…
A combination of incidence data and mobility proxies from social media predicts the intra-urban spread of dengue in Yogyakarta, Indonesia
Only a few studies have investigated the potential of using geotagged social media data for predicting the patterns of spatio-temporal spread of vector-borne diseases. We herein demonstrated the role of human mobility in the intra-urban spread of dengue by weighting local incidence data with geo-tag...
Autores principales: | Ramadona, Aditya Lia, Tozan, Yesim, Lazuardi, Lutfan, Rocklöv, Joacim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483276/ https://www.ncbi.nlm.nih.gov/pubmed/30986218 http://dx.doi.org/10.1371/journal.pntd.0007298 |
Ejemplares similares
-
Predicting the dengue cluster outbreak dynamics in Yogyakarta, Indonesia: a modelling study
por: Ramadona, Aditya Lia, et al.
Publicado: (2023) -
Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data
por: Ramadona, Aditya Lia, et al.
Publicado: (2016) -
Dengue Vector Control through Community Empowerment: Lessons Learned from a Community-Based Study in Yogyakarta, Indonesia
por: Sulistyawati, Sulistyawati, et al.
Publicado: (2019) -
Climate change and the rising infectiousness of dengue
por: Rocklöv, Joacim, et al.
Publicado: (2019) -
Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017
por: Rocklöv, Joacim, et al.
Publicado: (2019)