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Jun 1, 2023 · borne Dengue and West Nile virus, advances in artificial intelligence, spatial innovation, and decision support frameworks are on the rise (Eisen & Eisen., 2011; Dharmawardana et al., 2017).
Feb 13, 2023 · This systematic review evaluated 99 dengue outbreak prediction models from 64 studies, predicting the number of dengue cases or outbreaks from a variety of settings and populations. Our review identified, three major area of inadequacy in the current modelling practices.
- 10.1371/journal.pntd.0010631
- 2023/02
May 13, 2022 · We summarize the different software tools available for predicting the outbreaks of dengue based on the aforementioned factors, briefly outline the methodology used in these algorithms, and provide a comprehensive list of programs available for the same in this article.
- 10.1007/s13337-022-00767-x
- 2022/06
- Virusdisease. 2022 Jun; 33(2): 125-131.
Mar 21, 2019 · Using a set of prediction variables, we show an increase in prediction accuracy of the model with an optimal combination of predictors which include: meteorological data, clinical data, lag variables of disease surveillance, socioeconomic data and the data encoding spatial dependence on dengue transmission.
- Raghvendra Jain, Sra Sontisirikit, Sopon Iamsirithaworn, Helmut Prendinger
- 2019
Jan 7, 2022 · The most significant predictors were rainfall (22 models, 43% of 51 studies), temperature (21 models, 41% of 51 studies), and humidity (13 models, 25% of 51 studies). These predictors were also the most frequent in studies to predict dengue incidence rates or dengue outbreaks.
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Jan 16, 2023 · Developed a deterministic dengue virus transmission model and parameterized it using 2017 dengue outbreak data in Pakistan. A sensitivity analysis was conducted, and optimal control theory was applied.
Mar 19, 2021 · Since severe dengue was first recognized in the 1950s during dengue epidemics in the Philippines and Thailand [3,4], the incidence of dengue has grown dramatically around the world in recent decades [5,6]. A vast majority of cases are asymptomatic, and hence, the actual numbers are underreported, and many instances are misclassified [7,8].
