Dengue Disease Forecasting: Current Outbreak and Diagnostic Model's Analysis

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Abstract

The global burden of infectious Dengue disease remains a tricky bomb as its explosion is no longer restricted to tropical/subtropical regions anymore, also the absence of a globally approved vaccine is still there. Continuous research is done to devise systems that could timely predict, diagnose, and treat patients to effectively lessen the yearly Dengue death toll worldwide which resulted in a regular escalation of research in this area. This paper aims to perform a quick effective review of studies done till December 2020, emphasizing forecasting of Dengue epidemiology covering a range of factors such as diagnostics, surveillance, and prognosis prediction so that the intended reader can get an overall scheme of the current research progress well as obstacles regarding Dengue infection. This study points out numerous predictive approaches to Dengue investigation and several open issues which require further investigation eg: human mobility, mosquito breeding sensory reporting, diagnosis of dengue warning stages which may lead to a more accurate and detailed dengue patient prediction and care model. This paper has a good blend of papers encompassing various research directions both traditional and innovative in Dengue epidemiology which are further sub grouped according to their proposed approach and objectives to enhance understanding.

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APA

Kaur, S., & Sharma, S. (2023). Dengue Disease Forecasting: Current Outbreak and Diagnostic Model’s Analysis. In Advances in Transdisciplinary Engineering (Vol. 32, pp. 671–676). IOS Press BV. https://doi.org/10.3233/ATDE221330

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