76 Bangladeshi scientists to get training in UK on NCDs | daily-sun.com

76 Bangladeshi scientists to get training in UK on NCDs

Sun Online Desk     3rd February, 2018 07:34:59 printer

76 Bangladeshi scientists to get training in UK on NCDs

A total of 76 scientists of the country working in different institutions will be sent to the United Kingdom (UK) to have training in tackling Non-Communicable Diseases (NCDs), reports BSS.

Director General of the Directorate General of Health Services (DGHS) Prof Dr Abul Kalam Azad said to media that an agreement was signed aimed at helping Bangladesh in tackling NCDs with United Kingdom (UK) based agencies under Cambridge Programme to Assist Bangladesh in Lifestyle Environment and Risk Reduction (CAPABLE) in this regard.

"We would call for an open invitation across the country where doctors and scientists could apply for the scholarship," Prof of University of Cambridge John Danesh and Principal Investigator of CAPABLE told BSS.

There would be two types of scholarships, 16 scientists would be provided one and half year courses and other 60 would get six weeks long training at the University of Cambridge, University College London, the University Court of the University of Aberdeen in UK, Danesh said.

On February, we would call for the applications through daily newspapers and we have planned to start the long courses programme from June of this year while short courses would be started later, he added.

"This training would develop and evaluate practicable and effective interventions that expose major environmental and lifestyle risk factors against NCDs and promote health in the country in an acceptable, sustainable and cost-effective manner," Director of Institute of Epidemiology Disease Control and Research (IEDCR) Prof Dr Meerjady Sabrina Flora told.

Besides, CAPABLE would recruit 1,00,000 people from rural areas and the slums of the city to collect data, from those, engineers, sociologists, health researchers and a host of other disciplines will try to understand the risk factors and build a model that can be used to test interventions before they are implemented.

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