Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data

Leptospirosis disease is among the world's common zoonosis that transmitted from the infected animals to the human. It is caused by pathogenic spirochetes of the genus Leptospira. Leptospirosis had been recognized as a re-emerging infectious disease among animals and humans. The infection wo...

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Main Author: Aisyah, Mohammad
Format: Final Year Project Report
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2015
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Online Access:http://ir.unimas.my/id/eprint/39441/1/Aisyah%20Binti%20Mohammad%20ft.pdf
http://ir.unimas.my/id/eprint/39441/
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spelling my.unimas.ir.394412023-02-17T08:09:58Z http://ir.unimas.my/id/eprint/39441/ Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data Aisyah, Mohammad QA75 Electronic computers. Computer science T Technology (General) Leptospirosis disease is among the world's common zoonosis that transmitted from the infected animals to the human. It is caused by pathogenic spirochetes of the genus Leptospira. Leptospirosis had been recognized as a re-emerging infectious disease among animals and humans. The infection works when the contaminated soil or water from the waste product of infected animal comes in contact to unhealed breaks such as skin or eyes. Several researchers have been reported that Leptospirosis disease works well with weather factor. Thus, in this final year project will be focusing on the relationship between the disease transmission with weather factor namely raining, humidity and surface air temperature. Correlation method is used to identify the relationship between disease transmission and weather factor. The result obtained from the correlation shows that there is a relationship between the disease transmission and the weather. In this project is also investigating the best mathematical function to represent for the transmission rate for each of the weather. Curve fitting method is used to find the best function. From the result, linear function is the best fit to represent the rainfall factor and cubic function is the best fit for surface air temperature factor and humidity. Universiti Malaysia Sarawak, (UNIMAS) 2015 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/39441/1/Aisyah%20Binti%20Mohammad%20ft.pdf Aisyah, Mohammad (2015) Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
T Technology (General)
Aisyah, Mohammad
Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data
description Leptospirosis disease is among the world's common zoonosis that transmitted from the infected animals to the human. It is caused by pathogenic spirochetes of the genus Leptospira. Leptospirosis had been recognized as a re-emerging infectious disease among animals and humans. The infection works when the contaminated soil or water from the waste product of infected animal comes in contact to unhealed breaks such as skin or eyes. Several researchers have been reported that Leptospirosis disease works well with weather factor. Thus, in this final year project will be focusing on the relationship between the disease transmission with weather factor namely raining, humidity and surface air temperature. Correlation method is used to identify the relationship between disease transmission and weather factor. The result obtained from the correlation shows that there is a relationship between the disease transmission and the weather. In this project is also investigating the best mathematical function to represent for the transmission rate for each of the weather. Curve fitting method is used to find the best function. From the result, linear function is the best fit to represent the rainfall factor and cubic function is the best fit for surface air temperature factor and humidity.
format Final Year Project Report
author Aisyah, Mohammad
author_facet Aisyah, Mohammad
author_sort Aisyah, Mohammad
title Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data
title_short Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data
title_full Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data
title_fullStr Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data
title_full_unstemmed Mathematical modeling of leptospirosis cases in Kuching incorporation with weather data
title_sort mathematical modeling of leptospirosis cases in kuching incorporation with weather data
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2015
url http://ir.unimas.my/id/eprint/39441/1/Aisyah%20Binti%20Mohammad%20ft.pdf
http://ir.unimas.my/id/eprint/39441/
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score 13.211869