| Autor: |
Chutiman, Nipaporn, Guayjarernpanishk, Pannarat, Chiangpradit, Monchaya, Busababodhin, Piyapatr, Rattanawan, Saowanee, Phoophiwfa, Tossapol, Kong-ied, Butsakorn |
| Předmět: |
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| Zdroj: |
International Journal of Mathematics & Computer Science; 2022, Vol. 17 Issue 1, p243-253, 11p |
| Abstrakt: |
In this paper, we apply the Extreme Value Theory (EVT) in the analysis for finding an appropriate distribution pattern by using the Generalized Extreme Value (GEV) with the monthly data of the food poisoning rate in elderly people to forecast the chance of food poisoning in elderly people in Khon Kaen Province, Maha Sarakham Province, and Roi Et Province in the middle northeastern part of Thailand. Analyzing our results revealed that the GEV was appropriate according to the goodness of fit test with Kolmogorov-Smirnov Statistics (KS Test) and the estimation of the return levels in the annual return period of 2, 5, 10, 20, 25, and 50 years. Our results showed the area with the maximum food poisoning rate and the findings provided information to make decisions in planning to cope with the risk areas and for setting guidelines to plan public health affairs to cope with possible next outbreaks. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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