Modeling and Predicting Dengue Incidence in Highly Vulnerable Countries using Panel Data Approach.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
28 06 2019
Historique:
received: 20 05 2019
revised: 24 06 2019
accepted: 25 06 2019
entrez: 3 7 2019
pubmed: 3 7 2019
medline: 1 1 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31261672
pii: ijerph16132296
doi: 10.3390/ijerph16132296
pmc: PMC6650977
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Asim Anwar (A)

Department of Management Sciences, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan. asimm.anwar@gmail.com.

Noman Khan (N)

Department of Management Sciences, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan.

Muhammad Ayub (M)

Department of Management Sciences, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan.

Faisal Nawaz (F)

Department of Management Sciences, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan.
Faculty of Finance and Banking, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam.

Asim Shah (A)

Department of Management Sciences, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan.

Antoine Flahault (A)

Swiss School of Public Health (SSPH+), Hirschengraben 82, 8001 Zürich, Switzerland.
Institute of Global Health, Faculty of Medicine, University of Geneva, CH-1202, 8001 Geneva, Switzerland.

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Classifications MeSH