Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak

A Fuzzy Cognitive Map (FCM) is a soft computing method used to analyze and understand complex systems. This is particularly useful when there is a little information known about the system or no historical data is available to make a reasonable prediction about the future outcome of the underlyin...

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Автор: Kamrujjaman, Md
Формат: Стаття
Мова:Англійська
Опубліковано: Discover Public Health 2025
Предмети:
Онлайн доступ:https://repository.auw.edu.bd/handle/123456789/1511
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author Kamrujjaman, Md
author_facet Kamrujjaman, Md
author_sort Kamrujjaman, Md
collection institutional Repository
description A Fuzzy Cognitive Map (FCM) is a soft computing method used to analyze and understand complex systems. This is particularly useful when there is a little information known about the system or no historical data is available to make a reasonable prediction about the future outcome of the underlying system. This study focuses on the development of a fuzzy cognitive map to predict the risk of malaria outbreak (RMO) in a particular region based on the impact of 15 different factors classified as environmental factors, demographic factors, socioeconomic factors and human habitual factors (EDSH). The results show that the system converges to the same equilibrium point regardless of how the initial conditions are chosen. This study is very effective when exact numerical data is not available, especially, during the initial stage of malaria transmission. Therefore, using the knowledge and experience of experts properly, this study can be of great help to public health authorities to make a reasonable prediction of the risk of malaria outbreak.
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spelling 123456789-15112026-02-18T06:15:28Z Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak Kamrujjaman, Md Malaria, Fuzzy Cognitive Map, Recursive equation, Causal relationship A Fuzzy Cognitive Map (FCM) is a soft computing method used to analyze and understand complex systems. This is particularly useful when there is a little information known about the system or no historical data is available to make a reasonable prediction about the future outcome of the underlying system. This study focuses on the development of a fuzzy cognitive map to predict the risk of malaria outbreak (RMO) in a particular region based on the impact of 15 different factors classified as environmental factors, demographic factors, socioeconomic factors and human habitual factors (EDSH). The results show that the system converges to the same equilibrium point regardless of how the initial conditions are chosen. This study is very effective when exact numerical data is not available, especially, during the initial stage of malaria transmission. Therefore, using the knowledge and experience of experts properly, this study can be of great help to public health authorities to make a reasonable prediction of the risk of malaria outbreak. 2025-10-20T10:43:34Z 2025-10-20T10:43:34Z 10/19/2025 Article https://repository.auw.edu.bd/handle/123456789/1511 en application/pdf Discover Public Health
spellingShingle Malaria, Fuzzy Cognitive Map, Recursive equation, Causal relationship
Kamrujjaman, Md
Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak
title Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak
title_full Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak
title_fullStr Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak
title_full_unstemmed Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak
title_short Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak
title_sort edsh effects on rmo development of a fuzzy cognitive map for anticipating the risk of malaria outbreak
topic Malaria, Fuzzy Cognitive Map, Recursive equation, Causal relationship
url https://repository.auw.edu.bd/handle/123456789/1511
work_keys_str_mv AT kamrujjamanmd edsheffectsonrmodevelopmentofafuzzycognitivemapforanticipatingtheriskofmalariaoutbreak