Cargando…
Enhancing fine-grained intra-urban dengue forecasting by integrating spatial interactions of human movements between urban regions
BACKGROUND: As a mosquito-borne infectious disease, dengue fever (DF) has spread through tropical and subtropical regions worldwide in recent decades. Dengue forecasting is essential for enhancing the effectiveness of preventive measures. Current studies have been primarily conducted at national, su...
Autores principales: | Liu, Kang, Zhang, Meng, Xi, Guikai, Deng, Aiping, Song, Tie, Li, Qinglan, Kang, Min, Yin, Ling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785255/ https://www.ncbi.nlm.nih.gov/pubmed/33347463 http://dx.doi.org/10.1371/journal.pntd.0008924 |
Ejemplares similares
-
Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images
por: Liu, Kang, et al.
Publicado: (2021) -
Fine-grained dengue forecasting using telephone triage services
por: Abdur Rehman, Nabeel, et al.
Publicado: (2016) -
Analysis and forecast of dengue incidence in urban Colombo, Sri Lanka
por: Erandi, KKWH, et al.
Publicado: (2021) -
Enhance the Quality of Crowdsensing for Fine-Grained Urban Environment Monitoring via Data Correlation
por: Kang, Xu, et al.
Publicado: (2017) -
A Simulation Model for Intra-Urban Movements
por: Serok, Nimrod, et al.
Publicado: (2015)