Early dengue outbreak detection modeling based on dengue incidences in Singapore during 2012 to 2017-Reference-Cited by-同舟云学术

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Early dengue outbreak detection modeling based on dengue incidences in Singapore during 2012 to 2017

Published:2020-03-30 Issue:15 Volume:39 Page:2101-2114
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Chen Piao¹^ORCID,Fu Xiuju²^ORCID,Ma Stefan³,Xu Hai‐Yan²,Zhang Wanbing²,Xiao Gaoxi⁴,Siow Mong Goh Rick²,Xu George²,Ching Ng Lee⁵

Affiliation:

1. Delft Institute of Applied Mathematics Delft University of Technology Delft the Netherlands

2. Institute of High Performance Computing Singapore

3. Epidemiology & Disease Control Division Ministry of Health Singapore

4. School of Electrical and Electronic Engineering Nanyang Technological University Singapore

5. Environmental Health Institute National Environment Agency Singapore

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8535

Reference28 articles.

1. Economic Impact of Dengue Illness and the Cost-Effectiveness of Future Vaccination Programs in Singapore

2. Three-Month Real-Time Dengue Forecast Models: An Early Warning System for Outbreak Alerts and Policy Decision Support in Singapore

3. Singapore Success: New Model Helps Forecast Dengue Outbreaks

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1. Outbreak detection algorithms based on generalized linear model: a review with new practical examples;BMC Medical Research Methodology;2023-10-14

2. On the performance of two-sided EWMA charts in the monitoring of continuous proportions;Communications in Statistics - Simulation and Computation;2023-09-19

3. Dengue Early Warning System as Outbreak Prediction Tool: A Systematic Review;Risk Management and Healthcare Policy;2022-05

4. Exponentially weighed moving average charts for monitoring zero-inflated proportions with applications in health care;Statistical Methods in Medical Research;2022-02-08

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