Flooding in Townsville, north Queensland, Australia, in February 2019 and its effects on mosquito-borne diseases
Adekunle, Adeshina I., Adegboye, Oyelola A., and Kazi, Monsur (2019) Flooding in Townsville, north Queensland, Australia, in February 2019 and its effects on mosquito-borne diseases. International Journal of Environmental Research and Public Health, 16 (8). 1393.
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Abstract
In February 2019, a major flooding event occurred in Townsville, North Queensland, Australia. Here we present a prediction of the occurrence of mosquito-borne diseases (MBDs) after the flooding. We used a mathematical modelling approach based on mosquito population abundance, survival, and size as well as current infectiousness to predict the changes in the occurrences of MBDs due to flooding in the study area. Based on 2019 year-to-date number of notifiable MBDs, we predicted an increase in number of cases, with a peak at 104 by one-half month after the flood receded. The findings in this study indicate that Townsville may see an upsurge in the cases of MBDs in the coming days. However, the burden of diseases will go down again if the mosquito control program being implemented by the City Council continues. As our predictions focus on the near future, longer term effects of flooding on the occurrence of mosquito-borne diseases need to be studied further.
Item ID: | 58859 |
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Item Type: | Article (Research - C1) |
ISSN: | 1660-4601 |
Keywords: | flooding; mosquito-borne diseases; north Queensland; dengue; Ross River virus; wet–dry tropics |
Copyright Information: | © 2019 by the authors. Open access article distributed under the terms and conditions of the Creative Commons Attribution (CC by 4.0) license. |
Date Deposited: | 11 Jul 2019 01:15 |
FoR Codes: | 49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490102 Biological mathematics @ 70% 42 HEALTH SCIENCES > 4202 Epidemiology > 420202 Disease surveillance @ 30% |
SEO Codes: | 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920404 Disease Distribution and Transmission (incl. Surveillance and Response) @ 100% |
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