Refining The Dengue Vulnerability Assessment Based on Dengue Vulnerability Framework Malaysia (DVFM)

Zuliana Azwa Zulkifli, Azeem Fazwan Ahmad Farouk, Dayang Haszelinna Abang Ali, Norhayati Mokhtar
{"title":"Refining The Dengue Vulnerability Assessment Based on Dengue Vulnerability Framework Malaysia (DVFM)","authors":"Zuliana Azwa Zulkifli, Azeem Fazwan Ahmad Farouk, Dayang Haszelinna Abang Ali, Norhayati Mokhtar","doi":"10.26740/jpsi.v6n2.p57-67","DOIUrl":null,"url":null,"abstract":"This study refining the dengue vulnerability assessment using DVFM to describes the vulnerability of dengue in Malaysia during the period of 15 years to identify high-low risk areas among sample of studies (except Wilayah Persekutuan Putrajaya). The dengue reported cases in Malaysia were analyzed using the data provided by the Disease Control Division Vector, Ministry of Health Malaysia (MOH) from 2003-2017. As per literature, factors influencing the vulnerability to infectious disease outbreak were identified as population density, urbanization, medical care workforce, medical care infrastructure, public health delivery, safe water and sanitation as well as economic strength. This framework was tested using empirical cases of dengue outbreak in Malaysia. The dataset used was obtained from widely available data (from the Department of Statistics Malaysia (DOSM) and Health Indicator Report by MOH). From 2003-2017, 829, 299 cases have been reported in Malaysia. The highest number was recorded in 2015 (63198, Selangor). The key findings from this assessment included the states with their vulnerability and actual dengue reported cases. The results also concluded that the framework prediction did not match the actual outbreak reported.  Recently in Malaysia, the reported cases have increased steadily in most areas. The surveillance and control strategies should be strengthened especially for areas with the most vulnerable to dengue outbreak without deprioritizing the least vulnerable state. Further research should be conducted to explore other drivers that may reflect the vulnerability of dengue outbreak.","PeriodicalId":345914,"journal":{"name":"JPSI (Journal of Public Sector Innovations)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JPSI (Journal of Public Sector Innovations)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26740/jpsi.v6n2.p57-67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study refining the dengue vulnerability assessment using DVFM to describes the vulnerability of dengue in Malaysia during the period of 15 years to identify high-low risk areas among sample of studies (except Wilayah Persekutuan Putrajaya). The dengue reported cases in Malaysia were analyzed using the data provided by the Disease Control Division Vector, Ministry of Health Malaysia (MOH) from 2003-2017. As per literature, factors influencing the vulnerability to infectious disease outbreak were identified as population density, urbanization, medical care workforce, medical care infrastructure, public health delivery, safe water and sanitation as well as economic strength. This framework was tested using empirical cases of dengue outbreak in Malaysia. The dataset used was obtained from widely available data (from the Department of Statistics Malaysia (DOSM) and Health Indicator Report by MOH). From 2003-2017, 829, 299 cases have been reported in Malaysia. The highest number was recorded in 2015 (63198, Selangor). The key findings from this assessment included the states with their vulnerability and actual dengue reported cases. The results also concluded that the framework prediction did not match the actual outbreak reported.  Recently in Malaysia, the reported cases have increased steadily in most areas. The surveillance and control strategies should be strengthened especially for areas with the most vulnerable to dengue outbreak without deprioritizing the least vulnerable state. Further research should be conducted to explore other drivers that may reflect the vulnerability of dengue outbreak.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于马来西亚登革热脆弱性框架(DVFM)的登革热脆弱性评估改进
本研究使用DVFM对登革热易损性评估进行了改进,以描述马来西亚15年间登革热的易损性,以便在研究样本中确定高-低风险地区(除布城外)。使用马来西亚卫生部病媒控制司2003-2017年提供的数据对马来西亚报告的登革热病例进行了分析。根据文献,影响传染病爆发脆弱性的因素被确定为人口密度、城市化、医疗保健人力、医疗保健基础设施、公共卫生服务、安全饮用水和卫生设施以及经济实力。利用马来西亚登革热疫情的经验案例对这一框架进行了检验。所使用的数据集来自广泛可用的数据(来自马来西亚统计局和卫生部的健康指标报告)。从2003年到2017年,马来西亚报告了829,299例病例。最高记录是在2015年(63198,雪兰莪州)。这次评估的主要发现包括易受感染的州和实际报告的登革热病例。结果还得出结论,框架预测与报告的实际爆发不匹配。最近在马来西亚,报告的病例在大多数地区稳步增加。应加强监测和控制战略,特别是在最易受登革热疫情影响的地区,而不应忽视最不脆弱的国家。应开展进一步研究,以探索可能反映登革热暴发脆弱性的其他驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Kualitas Pelayanan Publik di Nagari Panti Timur Kecamatan Panti Kabupaten Pasaman Strategic Management of The Faculty of Social Sciences and Law, State University of Surabaya, in Improving The Quality of Education during The Covid-19 Pandemic Refining The Dengue Vulnerability Assessment Based on Dengue Vulnerability Framework Malaysia (DVFM) Evaluasi Kinerja Jabatan Fungsional Tenaga Kependidikan di Universitas Negeri Surabaya Pengembangan Ekonomi Daerah melalui Sektor Unggulan Kota Surabaya dalam Masa Pandemi Covid-19
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1