Challenges in real-time prediction of infectious disease: A case study of dengue in Thailand.
Epidemics of communicable diseases place a huge burden on public health infrastructures across the world. Producing accurate and actionable forecasts of infectious disease incidence at short and long time scales will improve public health response to outbreaks. However, scientists and public health...
Main Authors: | Reich, NG, Lauer, SA, Sakrejda, K, Iamsirithaworn, S, Hinjoy, S, Suangtho, P, Suthachana, S, Clapham, HE, Salje, H, Cummings, DA, Lessler, J |
---|---|
Outros Autores: | Scarpino, SV |
Formato: | Journal article |
Idioma: | English |
Publicado em: |
Public Library of Science
2016
|
Registos relacionados
-
Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand.
Por: Nicholas G Reich, et al.
Publicado em: (2016-06-01) -
Correction: Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand.
Por: Nicholas G Reich, et al.
Publicado em: (2022-10-01) -
Periodic synchronisation of dengue epidemics in Thailand over the last 5 decades driven by temperature and immunity.
Por: Bernardo García-Carreras, et al.
Publicado em: (2022-03-01) -
Measuring Spatial Dependence for Infectious Disease Epidemiology.
Por: Justin Lessler, et al.
Publicado em: (2016-01-01) -
The impact of the demographic transition on dengue in Thailand: insights from a statistical analysis and mathematical modeling.
Por: Derek A T Cummings, et al.
Publicado em: (2009-09-01)