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...
Κύριοι συγγραφείς: | Reich, NG, Lauer, SA, Sakrejda, K, Iamsirithaworn, S, Hinjoy, S, Suangtho, P, Suthachana, S, Clapham, HE, Salje, H, Cummings, DA, Lessler, J |
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Άλλοι συγγραφείς: | Scarpino, SV |
Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
Public Library of Science
2016
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Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
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Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand.
ανά: Nicholas G Reich, κ.ά.
Έκδοση: (2016-06-01) -
Correction: Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand.
ανά: Nicholas G Reich, κ.ά.
Έκδοση: (2022-10-01) -
Periodic synchronisation of dengue epidemics in Thailand over the last 5 decades driven by temperature and immunity.
ανά: Bernardo García-Carreras, κ.ά.
Έκδοση: (2022-03-01) -
Measuring Spatial Dependence for Infectious Disease Epidemiology.
ανά: Justin Lessler, κ.ά.
Έκδοση: (2016-01-01) -
The impact of the demographic transition on dengue in Thailand: insights from a statistical analysis and mathematical modeling.
ανά: Derek A T Cummings, κ.ά.
Έκδοση: (2009-09-01)