Scientific article
OA Policy
English

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

Publication date2019
Abstract

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.

Keywords
  • Arbovirosis
  • Dengue fever
  • Mathematical modeling
  • Climate change
Citation (ISO format)
ANWAR, Asim et al. Modeling and Predicting Dengue Incidence in Highly Vulnerable Countries using Panel Data Approach. In: International Journal of Environmental Research and Public Health, 2019, vol. 16, n° 13, p. 1–8. doi: 10.3390/ijerph16132296
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Article (Published version)
Identifiers
Journal ISSN1661-7827
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230downloads

Technical informations

Creation30/08/2019 11:54:00
First validation30/08/2019 11:54:00
Update15/03/2023 18:06:29
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