Estimating the Distribution of Japanese Encephalitis Vectors in Australia Using Ecological Niche Modelling
Furlong, Morgan, Adamu, Andrew, Hickson, Roslyn I., Horwood, Paul, Golchin, Maryam, Hoskins, Andrew, and Russell, Tanya (2022) Estimating the Distribution of Japanese Encephalitis Vectors in Australia Using Ecological Niche Modelling. Tropical Medicine and Infectious Disease, 7 (12). 393.
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Abstract
Recent Japanese encephalitis virus (JEV) outbreaks in southeastern Australia have sparked interest into epidemiological factors surrounding the virus’ novel emergence in this region. Here, the geographic distribution of mosquito species known to be competent JEV vectors in the country was estimated by combining known mosquito occurrences and ecological drivers of distribution to reveal insights into communities at highest risk of infectious disease transmission. Species distribution models predicted that Culex annulirostris and Culex sitiens presence was mostly likely along Australia’s eastern and northern coastline, while Culex quinquefasciatus presence was estimated to be most likely near inland regions of southern Australia as well as coastal regions of Western Australia. While Culex annulirostris is considered the dominant JEV vector in Australia, our ecological niche models emphasise the need for further entomological surveillance and JEV research within Australia.
Item ID: | 76870 |
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Item Type: | Article (Research - C1) |
ISSN: | 2414-6366 |
Copyright Information: | © 2022 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: | 29 Nov 2022 04:21 |
FoR Codes: | 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460503 Data models, storage and indexing @ 50% 42 HEALTH SCIENCES > 4202 Epidemiology > 420205 Epidemiological modelling @ 50% |
SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280112 Expanding knowledge in the health sciences @ 50% 20 HEALTH > 2004 Public health (excl. specific population health) > 200404 Disease distribution and transmission (incl. surveillance and response) @ 50% |
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