Temporal Modeling of Dengue Fever: A Comprehensive Literature Review

Aswi, Aswi and Cramb, Susanna and White, Gentry and Hu, Wenbiao and Mengersen, Kerrie L. (2019) Temporal Modeling of Dengue Fever: A Comprehensive Literature Review. Materials Science Forum, 967. pp. 15-21. ISSN 1662-9752

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Abstract

Dengue fever has become a major public health problem in several countries. This paper aims to review and compare a number of temporal modeling approaches that have been proposed for predicting or forecasting the occurrence of dengue fever. This review also examines influential covariates considered in these studies. A comprehensive literature search was undertaken in September 2018, using Medline (via Ebscohost), ProQuest, Scopus, and Web of Science electronic databases. The search was confined to articles in English, published in refereed journals between January 2000 and September 2018. The most popular approach to temporal modeling of dengue was found to be an autoregressive integrated moving average (ARIMA) model. A limited number of studies applied Bayesian hierarchical dynamic generalized linear models. Climatic variables were most commonly associated with dengue incidence for temporal modeling.

Item Type: Article
Uncontrolled Keywords: Dengue, comprehensive literature review, temporal or time series, modeling
Subjects: FMIPA > STATISTIKA - (S1)
FMIPA
KARYA ILMIAH DOSEN
Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions: KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN
KARYA ILMIAH DOSEN
Depositing User: Dr. Aswi Aswi
Date Deposited: 05 Oct 2021 06:44
Last Modified: 05 Oct 2021 06:44
URI: http://eprints.unm.ac.id/id/eprint/21177

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