Spatial modelling in epidemiology

Date & time

12.30–1.30pm 26 February 2015

Location

Bob Douglas Lecture Theatre, Building 62 NCEPH (entrance on Eggleston Road)

Speakers

Dr Nasser Bagheri Research Fellow, APHCRI
Dr Kinley Wangdi, MBBS, MSc, PhD Candidate Global Health Division, RSPH

Contacts

 Matthew Kelly

Chair

Archie Clements, Director Research School of Population Health

Speakers

Dr Nasser Bagheri Research Fellow, APHCRI, ANU.
Dr Nasser Bagheri received a Discovery Early Career Researchers Award (DECRA) in 2013 to produce risk maps that highlight areas at future high risk of diabetes and heart disease using general practice clinical data. Now a Research Fellow at the Australian Primary Health Care Research Institute, Nasser conducts research into chronic disease risk mapping, spatial epidemiology, primary health care. He is particularly interested in applying GIS and statistical modelling to chronic diseases, public health issues, primary health care and spatial epidemiology. In this talk Nasser will present a geo-spatial approach to examine hotspots of cardiovascular risk in the Australian Communities using general practice clinical data and geographical information systems techniques.

Dr Kinley Wangdi, MBBS, MSc, PhD Candidate Global Health Division, RSPH
Malaria cases had been dwindling in Bhutan in recent years. As a result, Bhutan announced a national strategy to eliminate malaria by 2016.In order to assist in the malaria elimination efforts of vector-borne disease control programme (VDCP), an innovative new surveillance system was developed using Quantum geographic information system (GIS). Spatial decision support systems (SDSS) provide enhanced support for decision making and management using data that has spatial or geographical components. SDSS are used for monitoring and evaluating the delivery of interventions within target populations, and for mapping malaria surveillance data. As a pilot project, two districts which reported malaria were selected for developing SDSS. Geographic reconnaissance (GR) of four sub-districts was carried out in 2013. It was used for distribution of long lasing insecticide bed net (LLIN) and carrying out focal insecticide residual spray (IRS). At the end of the project in December 2014, in-depth interviews regarding the application and use of SDSS were carried out amongst the end users, malaria technicians. Use of QGIS for carrying out various spatial analyses will be outlined and discussed.

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