WGSHA students win country-wide hotel management competition

Bengaluru, Jun 7: A mobile app and a portal offering technology-driven solutions to manage and mitigate floods in urban areas were launched here on Saturday by Karnataka Revenue Minister R Ashoka.

The mobile app 'Bengaluru Megha Sandesha' was developed to disseminate information on rainfall and flood forecast, location-specific dynamic weather directly to the public. "The in-built features of the app and the information provided for a city is the first of its kind in the country," a press release said. This is a system of providing rainfall, flood forecasts and early warning to the officials of government agencies in the city through SMS to their mobile phones, social media platforms and a dedicated web portal, the release said.

The information provided would help the civic authorities act in advance and manage the floods, it said. The portal 'Varunamitra' is for information on the weather. The information provided is based on real-time data from 100 telemetric rain gauges installed and maintained at various locations across the state, it said. Rainfall forecast is based on the weather research and forecast models developed by the Indian Space Research Organisation (ISRO), Ahmedabad, the release said.

The information on flood forecast is based on the hydrological model, hydraulic routing and automation of the results. The Karnataka State Natural Disaster Monitoring Centre, along with the Indian Institute of Science (IISc), took up this project on the urban flood model for Bengaluru city. The project was funded by the Central government's department of science and technology, the release added. 

Bengaluru, Apr 15: With the reporting of the death of an 80-yr-old female from Hirebagewadi taluk in Belagavi district, the number of persons, who were died due to COVID-19 related disease, increased to 12, in Karnataka on Wednesday.

According to official sources, the deceased was a relative of another COVID-19 infected person, was succumbed to death this morning at a designated Hospital in Belagavi district.

Mysuru, Mar 13: A state-of-the-art viral research laboratory in the city has been identified as one of the testing laboratories for the detection of COVID-19, official sources said here on Friday.

The samples of suspected cases could be sent to the lab for analysis and it would take about three hours to get the results.

The Viral Research and Diagnostic Laboratory (VRDL), which was set up from Central grants and functions at the Microbiology Department of K.R. Hospital, has been authorised to carry out the tests. This lab in Mysuru is among the 52-plus laboratories in the country.

Though the VRDL is equipped to carry out the tests, the sole authority of confirming the virus lies with the Indian Council of Medical Research (ICMR)-National Institute of Virology (NIV) in Pune. VRDL is also the sole agency for collection and transportation of suspected samples of COVID-19 to NIV.

VRDL, which is part of the Mysore Medical College and Research Institute, functions on the advice of NIV.

According to the guidelines issued by ICMR, the results of the tests done here have to be shared with NIV the same day and the labs are not supposed to disclose the results since the NIV is the only authority to declare positive cases. Also, confirmation from the NIV should be awaited in case the samples test negative for COVID-19. The ICMR, in the guidelines made available on its website, has advised clinicians at labs to isolate the patient tested positive for COVID-19 in the identified facility and follow bio-safety precautions.

VRDL is a part of a network of labs established by the Department of Health Research, Government of India. The rise in the number of viral outbreaks and the resultant mortality had been cited as key reasons for the launch of network of such hi-tech labs in the country.

The NIV and the National Centre for Disease Control, Delhi, are the top laboratories for the network, while the National Institute of Epidemiology, Chennai, is the supervising authority for the data generated by the network of labs, sources added.