Manuscript Topics

Many developing nations are confronting a gigantic weight of irresistible infections, including novel Covid, diarrhea, intestinal sickness, tuberculosis, and HIV/AIDS. Despite the fact that antibodies have vanquished a large portion of the irresistible sicknesses, fresher and arising irresistible illnesses, like Ebola fever, SERS Covid sickness, MARS, Nipah infection, Hantavirus, Dengue fever, Chikungunya, Rocky Mountain Spotted Fever, West Nile infection disease, and so on, are as yet causing general wellbeing dangers around the world. Environmental change and a dangerous atmospheric deviation are improving the probability and spread of numerous vector-borne infections, including intestinal sickness, dengue fever, Chagas illness, leishmaniasis, filariasis, onchocerciasis, schistosomiasis, and trypanosomiasis. One of the primary difficulties related with these quickly developing and characteristically unpredictable and heterogeneous measures of information is that there is as yet an absence of productive techniques, models, and apparatuses in the field for information use and application practically.

On the other hand, Interval arithmetic and interval differential equations (IDEs) have not been considered enough for a long time.  However, in the recent years, the scientists found the applicability of this significant notion measure uncertainties in the mathematical modeling with uncertain parameters. Therefore, a number of researches have been done in this regard to analyze the mathematical systems based on the interval parameters and study the existence and uniqueness of the interval solutions of the IDEs. As a matter of fact, interval arithmetic is a branch of fuzzy sets that we deal with the intervals from the first step of modeling or numerical algorithm that can reduce the complexity and computational difficulties compared with fuzzy systems. IDEs have been actively researched through the modeling of many exciting real-world problems in all branches of science and engineering, including hydraulic systems, population models, medicine, modeling of periodic phenomena through interval systems. Although researchers have published numerous research articles concerning modeling of epidemic diseases based on different approaches over the last few years, especially between 2019 and 2020, there are still some challenges that need to be addressed in this area based on fuzzy and interval computing such as.

Topics of interest include, but are not limited to:

1. Fuzzy modelling in trend prediction of epidemic diseases and disease outbreaks.
2. Fuzzy decision making in public health management for effective monitoring and control of epidemics and disease outbreaks.
3. Interval computing of analytics for epidemic transmission routes analysis.
4. Fuzzy inference systems for large-scale health surveillance.
5. Fuzzy data-driven methods for the understanding of the mechanisms contributing to a disease outbreak.
6. Fuzzy prediction methods for better understanding of diseases with outbreak potential.
7. Fuzzy decision making  in clinical decision support during disease outbreaks.
8. Interval arithmetic for  drug discovery for epidemic diseases.
9. Methods for fuzzy data-driven analyses of outbreak-related epidemiological, clinical and social data and of combinations thereof.
10. Fuzzy Epidemic knowledge graph construction and their applications.
11. Fuzzy data-driven analysis of implications of epidemic diseases and their countermeasures on social behaviour, industrial practices, and environmental impact.
12. New techniques with uncertain parameters for gaining situational awareness and extracting actionable information from social media during health emergencies such as COVID-19.

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