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A model to assess dengue using type 2 fuzzy inference system

Authors :
Soovoojeet Jana
Sayani Adak
Source :
Biomedical Signal Processing and Control. 63:102121
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Recently the vector-borne disease dengue has become one of those infectious diseases with the potential of becoming endemic. Though dengue fever may occur at any time of the year, it depends very much on a suitable environment. Taking this into account, in this work we have developed a mathematical model using type-2 fuzzy inference system to predict suitable conditions for dengue outbreak so that control measures can be implemented as soon as possible. Here temperature, rainfall, humidity is taken as input parameters and the chance of dengue fever is taken as the output parameter. To understand the system easily we have used MATLAB software to generate various simulation works.

Details

ISSN :
17468094
Volume :
63
Database :
OpenAIRE
Journal :
Biomedical Signal Processing and Control
Accession number :
edsair.doi...........c3771cc9b4c308bcc6c1a95b45ef648a
Full Text :
https://doi.org/10.1016/j.bspc.2020.102121