检索结果-南通市图书馆

The practicality of Malaysia dengue outbreak forecasting model as an early warning system

Infectious Disease Modelling 2022年第3期7卷 510-525页

作者： suzilah ismail Robert Fildes Rohani Ahmad Wan Najdah Wan Mohamad Ali Topek Omar School of Quantitative Sciences Universiti Utara Malaysia UUM SintokKedahMalaysia Centre for Marketing Analytics and Forecasting Lancaster UniversityUnited Kingdom Medical Entomology Unit Institute for Medical ResearchNational Institute of HealthMinistry of Health MalaysiaMalaysia Vector Borne Disease Sector Disease Control DivisionMinistry of Health MalaysiaMalaysia

Dengue is a harmful tropical disease that causes death to many ***,the dengue vaccine development is still at an early stage,and only intervention methods exist after dengue cases ***,previously,two scientific experimental field studies were conducted in producing a dengue outbreak forecasting model as an early warning ***,an Autoregressive Distributed Lag(ADL)Model was developed using three factors:the epidemiological,entomological,and environmental with an accuracy of 85%;but a higher percentage is required in minimizing the error for the model to be ***,this study aimed to develop a practical and cost-effective dengue outbreak forecasting model with at least 90%accuracy to be embedded in an early warning computer system using the Internet of Things(IoT)***-one weeks of time series data of the three factors were used in six forecasting models,which were Autoregressive Distributed Lag(ADL),Hierarchical Forecasting(Bottom-up and Optimal combination)and three Machine Learning methods:(Artificial Neural Network(ANN),Support Vector Machine(SVM)and Random Forest).Five error measures were used to evaluate the consistency performance of the models in order to ensure model *** findings indicated Random Forest outperformed the other models with an accuracy of 95%when including all three *** practically,collecting mosquito related data(the entomological factor)was very costly and time ***,it was removed from the model,and the accuracy dropped to 92%but still high enough to be of practical use,i.e.,beyond 90%.However,the practical ground operationalization of the early warning system also requires several rain gauges to be located at the dengue hot spots due to localized ***,further analysis was conducted in determining the location of the rain *** has led to the recommendation that the rain gauges should be located about 3e4 km apart at the dengue hot spots to ensure

关键词： dengue rainfall Machine learning Early warning system IoT

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Comparative Human Landing Catch and CDC Light Trap in Mosquito Sampling in Knowlesi Malaria Endemic Areas in Peninsula Malaysia

引用

Advances in Entomology 2016年第1期4卷 1-10页

作者： Ahmad Rohani Abd Rahman Aidil Azahary Mohamed Nor Zurainee Wan Mohd Ali Wan Najdah ismail Zamree Mohd Omar Hanif Mohd Majid Ariffin Hamid Zuhaizam ismail suzilah Han Lim Lee Medical Entomology Unit Institute for Medical Research Kuala Lumpur Malaysia Department of Parasitology University of Malaya Kuala Lumpur Malaysia School of Quantitative Sciences (SQS) UUM College of Arts and Sciences University Utara Malaysia Sintok Malaysia

Adult mosquito sampling techniques are essential for monitoring transmission of malaria and other mosquito borne infections. Preference for any sampling technique depends on both its field efficiency and the characteristics of local vector populations. Surveys on adult mosquitoes using Human Landing Catch (HLC) and CO2-baited CDC light trap (CDC-LT) techniques were conducted in several knowlesi malaria endemic areas between the months of March to December 2012 in several states of Peninsula Malaysia. These two techniques were relatively compared to determine the preferences of anopheline mosquitoes towards CO2-baited CDC-LT technique using HLC technique as the reference method. Cx. gelidus, An. maculates and An. introlatus were the main three species collected by HLC technique, whereas the species collected by CO2-baited CDC-LT technique were mostly An. cracens, Ar. durhami and Coquillettidia species. Most of the Anopheles species were collected almost exclusively by the human collectors except for An. cracens and An. introlatus which were collected using both techniques. Anopheles cracens was the most dominant species captured using CO2-baited CDC-LT technique. This is the first report showing An. cracens was caught using CO2-baited CDC-LT technique in Malaysia.

关键词： Anopheles cracens Human Landing Catch CDC Light Trap

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：