Science News

Predicting Mosquito Outbreaks For Disease Control

ScienceDaily (Mar. 31, 2009) — University of Adelaide researchers have shown they can predict the biggest population peaks of disease-carrying mosquitoes up to two months ahead.

This should help the fight against outbreaks of serious mosquito-borne disease like dengue and Ross River fever by allowing efficient and cost-effective mosquito control, says ecologist Associate Professor Corey Bradshaw.

"The risk of disease transmission is highest when mosquitoes are at their most abundant," says Associate Professor Bradshaw, who is from the University's School of Earth and Environmental Sciences and also employed as a Senior Scientist by the South Australian Research and Development Institute (SARDI).

"This model is a tool that helps predict when there is going to be a higher-than-average outbreak so that population control efforts can be implemented when they are going to be most effective and are most needed."

The University of Adelaide researchers analysed 15 years of population data of Aedes vigilax , the northern Australian mosquito that transmits the Ross River and Barmah Forest viruses, and compared it with environmental factors affecting populations including tides and rainfall.

"We found that basic environmental monitoring data can be coupled with relatively simple population models to assist in predicting the timing and magnitude of mosquito peaks which lead to disease outbreaks in human populations," Associate Professor Bradshaw says.

In salt-loving species like the Aedes vigilax mosquito, populations tend to peak after very high tides. But the frequency of high tides and the amount of rainfall in the preceding months when mosquito numbers are low are the critical elements dictating the magnitude of eventual peaks.

"Previously, we didn't know how big that peak would be," says Associate Professor Bradshaw. "With this model, mosquito control efforts can be scaled according to the expected size of a future peak."

Associate Professor Bradshaw said the same model could be applied to other mosquito species, for instance dengue- or malaria-transmitting species, and others in tropical regions worldwide.

The research is detailed in a paper published online in the Public Library of Science journal PLOS Neglected Tropical Diseases.

Email or share this story:
| More

Story Source:

Adapted from materials provided by University of Adelaide.

Journal Reference:

  1. Guo-Jing Yang, Barry W. Brook, Corey J. A. Bradshaw. Predicting the Timing and Magnitude of Tropical Mosquito Population Peaks for Maximizing Control Efficiency. PLoS Neglected Tropical Diseases, 2009; 3 (2): e385 DOI: 10.1371/journal.pntd.0000385
APA

MLA

Note: If no author is given, the source is cited instead.

Search ScienceDaily

Number of stories in archives: 77,931

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily's archives for related news topics,
the latest news stories, reference articles, science videos, images, and books.

 

Science Video News


Detecting Disease In Less Than 60 Seconds

Chemists and immunologists devised a new rapid system for detecting and identifying viruses. It uses surface enhanced Raman spectroscopy to measure. ...  > full story

Breaking News

... from NewsDaily.com

In Other News ...

Copyright Reuters 2008. See Restrictions.

Free Subscriptions

... from ScienceDaily

Get the latest science news with our free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Feedback

... we want to hear from you!

Tell us what you think of the new ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Post this page to your favorite social bookmarking site:
close
Include this item in your blog or web site:
close
Cite this article in your essay, paper, or report:
close
Email this page's link to a friend or colleague:
close