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Flu? Malaria? Disease forecasters look to the sky
Question of the Day
NEW YORK (AP) — Only a 10 percent chance of showers today, but a 70 percent chance of flu next month.
That’s the kind of forecasting health scientists are trying to move toward, as they increasingly include weather data in their attempts to predict disease outbreaks.
In one recent study, two scientists reported they could predict — more than seven weeks in advance — when flu season was going to peak in New York City. Theirs was just the latest in a growing wave of computer models that factor in rainfall, temperature or other weather conditions to forecast disease.
Health officials are excited by this kind of work and the idea that it could be used to fine-tune vaccination campaigns or other disease prevention efforts.
At the same time, experts note that outbreaks are influenced as much, or more, by human behavior and other factors as by the weather. Some argue weather-based outbreak predictions still have a long way to go. And when government health officials warned in early December that flu season seemed to be off to an early start, they said there was no evidence it was driven by the weather.
This disease-forecasting concept is not new: Scientists have been working on mathematical models to predict outbreaks for decades and have long factored in the weather. They have known, for example, that temperature and rainfall affect the breeding of mosquitoes that carry malaria, West Nile virus and other dangerous diseases.
Recent improvements in weather-tracking have helped, including satellite technology and more sophisticated computer data processing.
As a result, “in the last five years or so, there’s been quite an improvement and acceleration” in weather-focused disease modeling, said Ira Longini, a University of Florida biostatistician who’s worked on outbreak prediction projects.
Some models have been labeled successes.
In the United States, researchers at Johns Hopkins University and the University of New Mexico tried to predict outbreaks of hantavirus in the late 1990s. They used rain and snow data and other information to study patterns of plant growth that attract rodents. People catch the disease from the droppings of infected rodents.
“We predicted what would happen later that year,” said Gregory Glass, a Johns Hopkins researcher who worked on the project.
More recently, in east Africa, satellites have been used to predict rainfall by measuring sea-surface temperatures and cloud density. That’s been used to generate “risk maps” for Rift Valley fever — a virus that spreads from animals to people and in severe cases can cause blindness or death. Researchers have said the system in some cases has given two to six weeks advance warning.
Last year, other researchers using satellite data in east Africa said they found that a small change in average temperature was a warning sign cholera cases would double within four months.
“We are getting very close to developing a viable forecasting system” against cholera that can help health officials in African countries ramp up emergency vaccinations and other efforts, said a statement by one of the authors, Rita Reyburn of the International Vaccine Institute in Seoul, South Korea.
Some diseases are hard to forecast, such as West Nile virus. Last year, the U.S. suffered one of its worst years since the virus arrived in 1999. There were more than 2,600 serious illnesses and nearly 240 deaths.
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