A Systematic Review of Mathematical Models of Dengue Transmission and Vector Control: 2010–2020

Ogunlade, Samson T., Meehan, Michael T., Adekunle, Adeshina I., and McBryde, Emma S. (2023) A Systematic Review of Mathematical Models of Dengue Transmission and Vector Control: 2010–2020. Viruses, 15 (1). 254.

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DOI: 10.3390/v15010254

View at Publisher Website: https://doi.org/10.3390/v15010254

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Abstract

Vector control methods are considered effective in averting dengue transmission. However, several factors may modify their impact. Of these controls, chemical methods, in the long run, may increase mosquitoes’ resistance to chemicides, thereby decreasing control efficacy. The biological methods, which may be self-sustaining and very effective, could be hampered by seasonality or heatwaves (resulting in, e.g., loss of Wolbachia infection). The environmental methods that could be more effective than the chemical methods are under-investigated. In this study, a systematic review is conducted to explore the present understanding of the effectiveness of vector control approaches via dengue transmission models.


Item ID:	77444
Item Type:	Article (Research - C1)
ISSN:	1999-4915
Keywords:	Keywords: dengue, transmission models, vector control, review
Related URLs:	https://researchonline.jcu.edu.au/81005/
Copyright Information:	© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Date Deposited:	06 Feb 2023 23:02
FoR Codes:	49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490102 Biological mathematics @ 30% 42 HEALTH SCIENCES > 4202 Epidemiology > 420205 Epidemiological modelling @ 70%
SEO Codes:	20 HEALTH > 2004 Public health (excl. specific population health) > 200404 Disease distribution and transmission (incl. surveillance and response) @ 80% 20 HEALTH > 2002 Evaluation of health and support services > 200205 Health policy evaluation @ 20%
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