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Data from dirt improve monsoon predictions
New soil moisture and temperature data can help better predict the impact of severe monsoons, researchers report.
Thunderstorms within Indian monsoon systems can deluge areas with dozens of inches of rain in little time, causing severe flooding and the loss of hundreds of lives each year. Better predictions of when, where, and how much rain will fall are key to saving property and lives.
Researchers developed multi-decade soil moisture and soil temperature fields using variety of surface and satellite data. They have shown that fine-scale data, never before available for India’s monsoon regions, are a critical ingredient to understanding and improving predictions of how violent storms will behave over land.
Just as storms change behavior based on the landscape—such as moving from water to land—or from encountering a cold or warm front, they also react to changes in wet or dry and warm versus colder soils.
“For a long time Indian monsoon research has focused as an oceanic feedback, but in recent years we have seen localized heavy rain embedded within thunderstorm events with flooding and cloud bursts that occur over land,” says Dev Niyogi, professor of agronomy and earth, atmospheric, and planetary sciences at Purdue University, whose findings appear in the journal Scientific Data.
“These thunderstorms often flare up because they’re responding to a boundary—meaning an edge of a different environment. What we have learned is that gradients in soil moisture and soil temperature help create an atmospheric frontal boundary and can unleash violent reactions from a storm. Understanding these locations climatologically is therefore quite important to help these predictions.”
Niyogi and colleagues worked more than three years on an intensive project to compile different datasets and assimilate global satellite soil moisture and soil temperature data from 1981-2017 and beyond. Their product now provides gridded data every three hours for every 4-kilometer (just under 2.5 miles) parcel of land giving soil moisture and temperature in India. Combined with observed weather during that period, the data can improve models used to predict future storms.
“This data is useful for a host of applications, including to help make decisions about where to grow crops or places in which we can adapt to prevent flooding or erosion,” Niyogi says.
Additional researchers contributing to this project came from the Indian Institute of Technology Bhubaneswar, the National Institute of Technology Rourkela, the Chinese Academy of Meteorological Science, the Indian Ministry of Earth Sciences, and the US National Center of Atmospheric Research.
Support for the study came from the Indian Ministry of Earth Sciences, the US National Science Foundation, and the US Department of Agriculture’s National Institute for Food and Agriculture.
Source: Purdue University
The post Data from dirt improve monsoon predictions appeared first on Futurity.
BBM beta adds new invite methods, improved replies and more!
The latest BBM beta has started rolling out through the Google Play Store and according to the changelog, there's plenty new here.
The latest BBM beta has started rolling out through the Google Play Store, and according to the changelog, there's plenty new here to try out including new ways to invite users to BBM, a new mention system, and improved replies.
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Simple change cuts unnecessary UTI tests
Encouraging doctors to first look for signs of a UTI before testing a patient’s urine—a change in protocol—could reduce unnecessary testing and overuse of antibiotics, say researchers.
“Over-testing for UTIs drives up health care costs and leads to unnecessary antibiotic use which spreads antibiotic resistance,” says infectious diseases specialist David K. Warren, a professor of medicine at Washington University in St. Louis and senior author of the paper, which appears in Infection Control and Hospital Epidemiology.
“Ordering tests when the patient needs them is a good thing. But ordering tests when it’s not indicated wastes resources and can subject patients to unnecessary treatment. We were able to reduce the number of tests ordered substantially without diminishing the quality of care at all, and at a substantial cost savings.”
Harmless bacteriaBacteria in a person’s bladder may cause UTIs, which typically involve burning or pain while urinating, frequent urges to urinate, and fever.
“Everyone always worries that…we might miss some UTIs, but we showed that we did not.”
Doctors treat UTIs with antibiotics. But some people, often elderly people or those with diabetes, harbor harmless bacterial communities in their bladders that don’t need antibiotic treatment.
Before ordering a urinalysis to check for bacteria in the urine, infectious disease specialists recommend that physicians look first for signs of bladder infection using a urine dipstick test.
This test detects inflammatory cells in the urine—signs of a problematic UTI that may require treatment with antibiotics. Discovering bacteria growing in the urine without knowing whether the patient has signs and symptoms of infection leaves physicians uncertain of whether the patient will benefit from antibiotic treatment.
“Doctors get stuck with a result they don’t know how to interpret and often prescribe antibiotics because that seems like the safest path to take,” says Warren, medical director for infection prevention at Barnes-Jewish Hospital.
Two changes to the systemThe researchers made two changes to encourage more informative urine testing among their colleagues at Barnes-Jewish Hospital. First, they sent an email to all clinicians explaining the rationale behind ordering a urine dipstick test for signs of infection before ordering a bacterial culture test.
Then, they changed the electronic ordering system and set the default to a urine dipstick test followed by a bacterial culture test, rather than a culture test alone, previously the first option. Clinicians who wished to order a culture test alone could still do so, but they had to open an additional screen on their computers.
The researchers compared all urine culture tests ordered at Barnes-Jewish Hospital in the 15 months before the intervention, staged in April 2016, to the 15 months after. Before the intervention, doctors ordered 15,746 urine cultures, or 38 orders per 1,000 patient-days. After, they ordered 45 percent fewer: 8,823 total, or 21 orders per 1,000 patient-days.
In particular, the number of urine cultures from people with catheters—patients at high risk of UTIs—dropped from 7.8 to 1.9 per 1,000 patient-days while the number of catheter-associated UTIs did not change at all. Doctors diagnosed 125 diagnosed catheter-associated UTIs in each time period.
“Everyone always worries that by ordering fewer urine cultures we might miss some UTIs, but we showed that we did not,” Warren says.
Since it costs about $15 to perform a urine culture, the intervention saved approximately $104,000 in laboratory costs alone over the 15-month period.
The researchers didn’t obtain pharmacy records to determine whether more careful testing decreased antibiotic prescriptions, but previous studies show that minimizing unwarranted testing does reduce antibiotic overuse.
The Centers for Disease Control and Prevention Epicenters Program partially funded the work.
Source: Washington University in St. Louis
The post Simple change cuts unnecessary UTI tests appeared first on Futurity.
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