globalchange  > 全球变化的国际研究计划
DOI: 10.3390/ijerph16132296
WOS记录号: WOS:000477037900045
论文题名:
Modeling and Predicting Dengue Incidence in Highly Vulnerable Countries using Panel Data Approach
作者: Anwar, Asim1; Khan, Noman1; Ayub, Muhammad1; Nawaz, Faisal1,2; Shah, Asim1; Flahault, Antoine3,4
通讯作者: Anwar, Asim
刊名: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
ISSN: 1660-4601
出版年: 2019
卷: 16, 期:13
语种: 英语
英文关键词: climate change ; dengue ; panel fixed effect model ; vulnerable countries
WOS关键词: METEOROLOGICAL FACTORS ; FEVER INCIDENCE ; GUANGZHOU ; TEMPERATURE ; CHINA ; TRANSMISSION ; ASSOCIATION ; CLIMATE
WOS学科分类: Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向: Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
英文摘要:

The spread of dengue has become a major public health concern in recent times due to alarming climate change. Using country level panel data over the 2000-2017 period, this paper examines the effects of climate change and socio-economic variables on the incidence of dengue-borne diseases in some of the most highly vulnerable countries. Empirical analysis shows a positive association between climate change and socio-economic conditions in the advent of dengue-borne diseases. We find that climate change, as measured by temperature, is proactively contributing to the spread of dengue-borne diseases. However, redressing the contributive factor behind climate change, via better awareness through education and improved public health facilitation, can assist in managing the occurrences and spread of dengue-borne diseases.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142621
Appears in Collections:全球变化的国际研究计划

Files in This Item:

There are no files associated with this item.


作者单位: 1.COMSATS Univ Islamabad, Dept Management Sci, Attock Campus, Punjab 43600, Pakistan
2.Ton Duc Thang Univ, Fac Finance & Banking, Ho Chi Minh City 758307, Vietnam
3.Swiss Sch Publ Hlth SSPH, Hirschengraben 82, CH-8001 Zurich, Switzerland
4.Univ Geneva, Fac Med, Inst Global Hlth, CH-1202 Geneva, Switzerland

Recommended Citation:
Anwar, Asim,Khan, Noman,Ayub, Muhammad,et al. Modeling and Predicting Dengue Incidence in Highly Vulnerable Countries using Panel Data Approach[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2019-01-01,16(13)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Anwar, Asim]'s Articles
[Khan, Noman]'s Articles
[Ayub, Muhammad]'s Articles
百度学术
Similar articles in Baidu Scholar
[Anwar, Asim]'s Articles
[Khan, Noman]'s Articles
[Ayub, Muhammad]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Anwar, Asim]‘s Articles
[Khan, Noman]‘s Articles
[Ayub, Muhammad]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.