76 B’deshi scientists to get NCDs management training in UK

Bangladesh Sangbad Sangstha . Dhaka | Published: 01:58, Feb 04,2018

 
 

A total of 76 scientists working at different institutions of the country will be sent to the United Kingdom to obtain training in management of non-communicable diseases.
‘We would send 76 scientists to different universities in UK to train them in the management of NCDs by guiding our health strategies,’ director general of the Directorate General of Health Services Professor Abul Kalam Azad told the news agency on Saturday.
An agreement was signed recently to help Bangladesh tackle NCDs with United Kingdom based agencies under Cambridge Programme to Assist Bangladesh in Lifestyle Environment and Risk Reduction, he said.
‘We would call for an open invitation across the country where doctors and scientists could apply for the scholarship,’ professor of University of Cambridge John Danesh and principal investigator of CAPABLE told BSS.
There would be two types of scholarships, 16 scientists would be enrolled in one and half year long courses and 60 others 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.
In February, we would call for applications through newspapers and we plan to start the long course programme from June while short courses would begin 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 Professor Meerjady Sabrina Flora said.
CAPABLE would also recruit 1,00,000 people from rural areas and the slums of the city to collect data which would be analysed by engineers, sociologists, health researchers and a host of other disciplines to understand the risk factors and build a model that can be used to test interventions before they are implemented.

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