Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Nuzlinda Abdul Rahman"'
Autor:
Fong Ying Foo, Nuzlinda Abdul Rahman, Fauhatuz Zahroh Shaik Abdullah, Nurul Syafiah Abd Naeeim
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 2, Pp 387-396 (2024)
At the end of the year 2019, a virus named SARS-CoV-2 induced the coronavirus disease, which is very contagious and quickly spread around the world. This new infectious disease is called COVID-19. Numerous areas, such as the economy, social services,
Externí odkaz:
https://doaj.org/article/88e96e3bdf7746a6b1e0d94e360b7741
Autor:
Wan Muhamad Amir W Ahmad, Mohamad Nasarudin Adnan, Nuzlinda Abdul Rahman, Farah Muna Mohamad Ghazali, Nor AzlidaAleng, Zainab Mat Yudin Badrin, Mohammad Khursheed Alam
Publikováno v:
Bangladesh Journal of Medical Science. 22:422-431
Background:Hypertension is a public health problem used to describe high blood pressure where the blood vessels are persistently increased in force. According to WHO, hypertension has been reported in one in four men and one in five women. Worldwide,
Autor:
Mohamad Nasarudin Bin Adnan, Wan Muhamad Amir W Ahmad, Nuzlinda Abdul Rahman, Farah Muna Mohamad Ghazali, Nor Azlida Alengc, Zainab Mat Yudin Badrin, Mohammad Khursheed Alam, Nor Farid Mohd Noor
Publikováno v:
Bangladesh Journal of Medical Science. 22:38-46
Background: The goal of this study is to illustrate an optimum variable selection method using established Multiple Linear Regression (MLR) models and to validate the variable using Multilayer Perceptron Neural Network (MLP) models. Initially, all se
Publikováno v:
Bulletin of the Malaysian Mathematical Sciences Society. 45:345-364
Publikováno v:
Journal of Mathematical Sciences and Informatics. 1:45-58
Geographical Weighted Regression (GWR) is used to improve decisionmaking in spatial analysis. Instead of the Ordinary Least Square (OLS) regression method that gives a single estimated parameter, the GWR method can provide unique estimated parameters
Publikováno v:
Journal of Statistical Modelling and Analytics. 3:109-121
Labour force participation rate (LFPR) is always a concern in economic view in Malaysia. This research study on how the labour force factors will affect the LFPR according to gender perspective for every state in Malaysia from the year 2011 to 2016.
Autor:
Nuzlinda Abdul Rahman, Kevin Pang, Chen Yi Kit, Fauhatuz Zahroh Shaik Abdullah, Nur Sofiah Izani, Wan Muhamad Amir W. Ahmad
Publikováno v:
Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022) ISBN: 9789464630138
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::415e7b83512e06100a0d14a5577b5319
https://doi.org/10.2991/978-94-6463-014-5_5
https://doi.org/10.2991/978-94-6463-014-5_5
Publikováno v:
J Appl Stat
Spatio-temporal disease mapping models give a great worth in epidemiology, especially in describing the pattern of disease incidence across geographical space and time. This paper analyses the spatial and temporal variability of dengue disease rates
Least Square Dummy Variable (LSDV) regression model was employed in this study to investigate the compensation of the unemployment rate. The data used in this study were secondary data source of governance quality and economic freedom the from World
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6449c953c09575931e71881e0db0f8e6
Publikováno v:
Spatial and spatio-temporal epidemiology. 41
Dengue fever is a mosquito-borne viral infection of humans caused by a virus of the Flaviviridae family. In Malaysia the annual incidence risk of dengue fever for the period 2000 to 2019 ranged from 30 to 390 cases per 100,000. The aim of this paper