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A study on stegomyia indices in dengue control: a fuzzy approach

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Abstract

The vector-borne disease, dengue, is becoming one of the most serious threats for the world population. Dengue hemorrhagic fever and dengue shock syndrome can cause death for an infected person. Increment in the number of dengue outbreaks on a yearly basis is making the researchers rethink about the dengue vector monitoring measures. In this paper, we have developed an artificial intelligence-based mathematical model using fuzzy logic to implement control measures timely in the dengue-prone areas. Here, a Mamdani-type fuzzy inference system is constructed taking the the three stegomyia indices, namely house index, Breteau index and container index, as the input parameters and the ‘occurrence of dengue’ as the output parameter. Finally, this model is implemented in a real-life scenario.

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References

  • Abualigah LM (2015) Applying genetic algorithms to information retrieval using vector space model. IJCSEA. https://doi.org/10.5121/ijcsea.2015.5102

    Article  Google Scholar 

  • Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput. https://doi.org/10.1007/s11227-017-2046-2

    Article  Google Scholar 

  • Abualigah LM, Khader AT, Al-Betar MA, Gandomi AH (2017a) A novel hybridization strategy for krill herd algorithm applied to clustering techniques. Appl Soft Comput. https://doi.org/10.1016/j.asoc.2017.06.059

    Article  Google Scholar 

  • Abualigah LM, Khader AT, Hanandeh ES (2017b) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci. https://doi.org/10.1016/j.jocs.2017.07.018

    Article  Google Scholar 

  • Abualigah LM, Khader AT, Hanandeh ES (2018a) Hybrid clustering analysis using improved krill herd algorithm. Appl Intell. https://doi.org/10.1007/s10489-018-1190-6

    Article  Google Scholar 

  • Abualigah LM, Khader AT, Hanandeh ES (2018b) A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis. Eng Appl Artif Intell 73:111–125

    Article  Google Scholar 

  • Alavi N (2013) Quality determination of Mozafati dates using Mamdani fuzzy inference system. J Saudi Soc Agric Sci 12:137–142

    Google Scholar 

  • Amiryousefi MR, Mohebbi M, Khodaiyan F, Asadi S (2011) An empowered adaptive neuro-fuzzy inference system using self-organizing map clustering to predict mass transfer kinetics in deep-fat frying of ostrich meat plates. Comput Electron Agric 76:89–95

    Article  Google Scholar 

  • Ana C, Castro M, Joao P, Carvalho Ribeiro MCS, Meixedo Jao P, Silva Francisco JG, Fiuza Antnio DML (2014) An integrated recycling approach for GFRP pultrusion wastes: recycling and reuse assessment into new composite materials using fuzzy boolean nets. J Clean Prod 66:420–430

    Article  Google Scholar 

  • Basker P, Kolandaswamy KG (2015) Study on the behavior of dengue viruses during outbreaks with reference to entomological and laboratory surveillance in the Cuddalore. Nagapattinam, and Tirunelveli districts of Tamil Nadu, India. Osong Public Health Res Perspect 6(3):143–158

    Article  Google Scholar 

  • Basso C, Caffera RM, Rosa EG, Lairihoy R, Gonzalez C, Norbis W, Roche I (2012) Mosquito-producing containers, spatial distribution, and relationship between Aedes aegypti population indices on the southern boundary of its distribution in South America (Salto, Uruguay). Am J Trop Med Hyg 87:1083–1088

    Article  Google Scholar 

  • Breteau H (1954) La fievre jaune en Afrique-Occidentale Francaise. Un aspect de la medecine preventive massive. Bull World Health Organ 11:453–481

    Google Scholar 

  • Chadee DD, Williams FL, Kitron UD (2005) Impact of vector control on a dengue fever outbreak in Trinidad, West Indies, in 1998. Trop Med Int Health 10:748–754. https://doi.org/10.1111/j.1365-3156.2005.01449.x

    Article  Google Scholar 

  • Connor ME, Monroe WM (1923) Stegomyia indices and their value in yellow fever control. Am J Trop Med Hyg 3:9–19

    Article  Google Scholar 

  • Khoshnevisan B, Rafiee S, Omid M, Mousazadeh H (2014) Prediction of potato yield based on energy inputs using multi-layer adaptive neuro-fuzzy inference system. Measurement 47:521–530

    Article  Google Scholar 

  • Koh BKW, Ng LC, Kita Y, Tang CS, Ang LW, Wong KY et al (2008) The 2005 dengue epidemic in Singapore: epidemiology, prevention and control. Ann Acad Med Sing 37:38–45

    Google Scholar 

  • Mendel JM, John RI, Liu F (2006) Interval type-2 fuzzy logic systems made simple. IEEE Trans Fuzzy Syst 14(6):808–821

    Article  Google Scholar 

  • Morin CW, Comrie AC, Ernst K (2013) Climate and dengue transmission: evidence and implications. Environ Health Perspect 121:64–72

    Article  Google Scholar 

  • Naderloo L, Alimardani R, Omid M, Sarmadian F, Javadikia P, Torabi MY, Alimardani F (2012) Application of ANFIS to predict crop yield based on different energy inputs. Measurement 45:1406–1413

    Article  Google Scholar 

  • Ong J, Liu X, Rajarethinam J, Yap G, Ho D, Ng LC (2019) A novel entomological index, Aedes aegypti breeding percentage, reveals the geographical spread of the dengue vector in Singapore and serves as a spatial risk indicator for dengue. Parasit Vectors 12(1):17. https://doi.org/10.1186/s13071-018-3281-y

    Article  Google Scholar 

  • Pham HV, Doan HTM, Phan TTT, Minh NNT (2011) Ecological factors associated with dengue fever in a central highlands province. Vietnam. Stoch Environ Res Risk Assess 25:485–494

    Article  Google Scholar 

  • Pourjavad E, Shahin A (2018) The application of Mamdani fuzzy inference system in evaluating green supply chain management performance. Int J Fuzzy Syst 20(3):901–912

    Article  Google Scholar 

  • Saikia D, Dutta JC (2016) Early diagnosis of dengue disease using fuzzy inference system. In: International conference on microelectronics computing and communications

  • Sanchez L, Vanlerberghe V, Alfonso L, Marquetti MDC, Guzman MG et al (2006) Aedes aegypti larval indices and risk for dengue epidemics. Emerg Infect Dis 12:800–806

    Article  Google Scholar 

  • Sanchez L, Cortinas J, Pelaez O, Gutierrez H, Concepcion D, Stuyft P (2010) Breteau index threshold levels indicating risk for dengue transmission in areas with low Aedes infestation. Trop Med Int Health 15(2):173–175

    Article  Google Scholar 

  • Soper FL (1967) The prospects for Aedes aegypti eradication in Asia in light of its eradication in Brazil. Bull World Health Organ 36:645–647

    Google Scholar 

  • Soper FL (1967) Aedes aegypti and yellow fever. Bull World Health Organ 36:521–527

    Google Scholar 

  • Sun K, Jianbin Q, Karimi HR, Fu Y (2020a) Event-triggered robust fuzzy adaptive finite-time control of nonlinear systems with prescribed performance. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2020.2979129

    Article  Google Scholar 

  • Sun K, Liu L, Qiu J, Feng G (2020b) Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2020.2965890

    Article  Google Scholar 

  • Sun K, Qiu J, Karimi HR, Gao H (2020c) A novel finite-time control for nonstrict feedback saturated nonlinear systems with tracking error constraint. IEEE Trans Syst Man Cybern. https://doi.org/10.1109/tsmc.2019.2958072

    Article  Google Scholar 

  • WHO (2003) Guidelines for dengue surveillance and mosquito control. WHO Regional Office for the Western Pacific, Manila

    Google Scholar 

  • WHO (2015) Dengue and severe dengue. Fact sheet N 117

  • Wijegunawardana NDAD, Silva Gunawardene YIN, Chandrasena TGAN, Dassanayake RS, Udayanga NWBAL, Abeyewickreme W (2019) Evaluation of the effects of Aedes vector indices and climatic factors on dengue incidence in Gampaha District, Sri Lanka, Hindawi. BioMed Res Int 2019:1–11. https://doi.org/10.1155/2019/2950216

    Article  Google Scholar 

  • World Health Organization (WHO) (2004) Weekly epidemiological records, vol 79, pp 93–100

  • Yang Y, Chencheng L, Shiwei JI (2017) Fuzzy multi-criteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets. Soft comput 21(11):3033–3035

    Article  Google Scholar 

  • Zhao H, You JX, Liu HC (2017) Failure mode and effect analysis using MULTIMOORA method with continuous weighted entropy under interval-valued intuitionistic fuzzy environment. Soft Comput 21(18):5355–5367

    Article  Google Scholar 

  • Zhou Y, Li YP, Huang GH (2014) Integrated modelling approach for sustainable municipal energy system planning and management—a case study of Shenzhen, China. J Clean Prod 75:143–156

    Article  Google Scholar 

Download references

Acknowledgements

This work is financially supported by Department of Science and Technology & Biotechnology, Govt. of West Bengal (vide memo no. 201 (Sanc.)/ST/P/S&T/16G-12/2018 dated 19-02-2019). Moreover, the authors are very much grateful to the anonymous reviewers and the editor Prof. Raffaele Cerulli for their constructive comments and helpful suggestions to improve both the quality and presentation of the manuscript significantly.

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  1. Ramsaday College, Amta, Howrah, 711401, India

    Sayani Adak & Soovoojeet Jana

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  1. Sayani Adak
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  2. Soovoojeet Jana
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Correspondence to Soovoojeet Jana.

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Communicated by V. Loia.

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Adak, S., Jana, S. A study on stegomyia indices in dengue control: a fuzzy approach. Soft Comput 25, 699–709 (2021). https://doi.org/10.1007/s00500-020-05179-x

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