期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Spatio-temporal clustering analysis of COVID-19 cases in Johor
1
作者 Fong Ying Foo nuzlinda abdul rahman +1 位作者 Fauhatuz Zahroh Shaik abdullah Nurul Syafiah Abd Naeeim 《Infectious Disease Modelling》 CSCD 2024年第2期387-396,共10页
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 t... 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,education,and healthcare system,have suffered grave consequences from the invasion of this deadly virus.Thus,a thorough understanding of the spread of COVID-19 is required in order to deal with this outbreak before it becomes an infectious disaster.In this research,the daily reported COVID-19 cases in 92 sub-districts in Johor state,Malaysia,as well as the population size associated to each sub-district,are used to study the propagation of COVID-19 disease across space and time in Johor.The time frame of this research is about 190 days,which started from August 5,2021,until February 10,2022.The clustering technique known as spatio-temporal clustering,which considers the spatio-temporal metric was adapted to determine the hot-spot areas of the COVID-19 disease in Johor at the sub-district level.The results indicated that COVID-19 disease does spike in the dynamic populated sub-districts such as the state's economic centre(Bandar Johor Bahru),and during the festive season.These findings empirically prove that the transmission rate of COVID-19 is directly proportional to human mobility and the presence of holidays.On the other hand,the result of this study will help the authority in charge in stopping and preventing COVID-19 from spreading and become worsen at the national level. 展开更多
关键词 Disease mapping COVID-19Hot-spot areas Sub-district level Spatio-temporal clustering Scan statistics
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部