Dengue Disease Modelling and Forecasting: Utility and Limitations-Reference-Cited by-同舟云学术

Dengue Disease Modelling and Forecasting: Utility and Limitations

Published:2016-04-15 Issue:4 Volume:45 Page:121-122
ISSN:0304-4602
Container-title:Annals of the Academy of Medicine, Singapore
language:en
Short-container-title:Ann Acad Med Singap

Author:

Kalimuddin Shirin¹,Low Jenny GH¹,Ooi Eng Eong²

Affiliation:

1. Singapore General Hospital, Singapore

2. Duke-NUS Medical School, Singapore

Publisher

Academy of Medicine, Singapore

Subject

General Medicine

Reference17 articles.

1. National Environment Agency. News release – Dengue cases may exceed 30,000 in 2016. Available at: www.nea.gov.sg/corporate-functions/newsroom/news-releases/dengue-cases-may-exceed-30000-in-2016. Accessed on 28 March 2016.

2. National Environment Agency. Latest dengue data. Available at: www.dengue.gov.sg/subject.asp?id=73. Accessed on 28 March 2016.

3. Nagao Y, Koelle K. Decreases in dengue transmission may act to increase the incidence of dengue hemorrhagic fever. Proc Natl Acad Sci U S A 2008;105:2238-43.

4. Salje H, Lessler J, Endy TP, Curriero FC, Gibbons RV, Nisalak A, et al. Revealing the microscale spatial signature of dengue transmission and immunity in an urban population. Proc Natl Acad Sci U S A 2012;109:9535-8.

5. Wilder-Smith A, Renhorn KE, Tissera H, Abu Bakar S, Alphey L, Kittayapong P, et al. DengueTools: innovative tools and strategies for the surveillance and control of dengue. Glob Health Action 2012;5.

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1. Climate Change and Infectious Diseases: The Next 50 Years;Annals of the Academy of Medicine, Singapore;2018-10-15

2. Reply to “Use of Prediction Models for Risk Analysis and Decision-Making in Public Health—The Catch-22 Conundrum”;Annals of the Academy of Medicine, Singapore;2016-08-15