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 |
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מחברים אחרים: | Scarpino, SV |
פורמט: | Journal article |
שפה: | English |
יצא לאור: |
Public Library of Science
2016
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פריטים דומים
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Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand.
מאת: Nicholas G Reich, et al.
יצא לאור: (2016-06-01) -
Correction: Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand.
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יצא לאור: (2022-10-01) -
Periodic synchronisation of dengue epidemics in Thailand over the last 5 decades driven by temperature and immunity.
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Measuring Spatial Dependence for Infectious Disease Epidemiology.
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The impact of the demographic transition on dengue in Thailand: insights from a statistical analysis and mathematical modeling.
מאת: Derek A T Cummings, et al.
יצא לאור: (2009-09-01)