2020
DOI: 10.3991/ijoe.v16i02.12425
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Development Innovation to Predict Dengue Affected Area and Alert People with Smartphones

Abstract: <p class="0abstract">Dengue remains a significant problem that needs to be addressed urgently in Thailand. Although Thailand has spread the dengue fever for more than sixty years, however, it is still found dengue patients in every province and spread to various areas. There is also a variable pattern of disease occurring each year, so it is necessary to have tools to help forecast area to allow the related organization and the people in the area plan to prevent dengue fever that may occur next year. Thi… Show more

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Cited by 10 publications
(5 citation statements)
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“…A total number of 530 (UJ =210 + FUTA =293) were derived from the 2019/2020 academic session. The sample size (n) was calculated using Taro Yamane formula [12].…”
Section: Methodsmentioning
confidence: 99%
“…A total number of 530 (UJ =210 + FUTA =293) were derived from the 2019/2020 academic session. The sample size (n) was calculated using Taro Yamane formula [12].…”
Section: Methodsmentioning
confidence: 99%
“…, 𝑎 𝑗 (5) = 𝑏 𝑖 = ℎ 𝑗 (5) = 𝑔 𝑗 (5) (10) After the evaluation of the I&E ability of computer majors was output by the output layer, it could be compared with the expected evaluation result. The adjustment of all neural network parameters such as θ, HEij and εij was to ensure the smallest output error.…”
Section: Fig 2 Structure the Constructed Fnnmentioning
confidence: 99%
“…The employment situation is quite severe in current society, and college graduates are under great employment pressure [1][2][3][4], so in order to help them find suitable jobs and provide them with more employment options, colleges and universities have set various innovation and entrepreneurship training programs and education courses, in the hops of cultivating innovative and entrepreneurial talents for the country [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Many separated micro and macrodynamics have been tested using the ARIMA model. One of the important studies that combined both ARIMA model and innovation was implemented by Somboonsak, who used ARIMA model to predict the expected number of people with specific types of fever based on location distribution through using a smartphone application with fever GPS to plan, control, and warn people from risky areas [58]. Jiang and Zhang employed a hybrid model combining ARIMA with artificial neural network (ARIMA-ANN model) in order to improve the stock price prediction of highly developed capital markets [59].…”
Section: Arima Model and Open Innovationmentioning
confidence: 99%