Dr Heather Frances Gidding

Dr Heather Frances Gidding

Fields of research: Infectious Diseases, Epidemiology, Biostatistics
Campus: Kensington
Tags: Public Health (excl. Specific Population Health), Disease Distribution and Transmission (incl. Surveillance and Response)

Dr Heather Gidding is an infectious diseases epidemiologist and biostatistician. Her main areas of interest include the use of routinely collected data for epidemiological research, in particular using data linkage methods, to examine the impact of vaccination programs. She is an Associate Professor and NHMRC Career Development Fellow in the School of Public Health and Community Medicine at the University of NSW.


My Qualifications

BAppSc (BIOMED), GradDipEpidBiostats, MAppEpid, PhD


My...

Dr Heather Gidding is an infectious diseases epidemiologist and biostatistician. Her main areas of interest include the use of routinely collected data for epidemiological research, in particular using data linkage methods, to examine the impact of vaccination programs. She is an Associate Professor and NHMRC Career Development Fellow in the School of Public Health and Community Medicine at the University of NSW.


My Qualifications

BAppSc (BIOMED), GradDipEpidBiostats, MAppEpid, PhD


My Research Supervision


Areas of supervision

Quantitative infectious diseases epidemiology, especially related to vaccine preventable diseases

Location

School of Public Health & Community Medicine
Room 207 l Samuels Building l Gate 11, Botany Street, Randwick
The University of New South Wales, Sydney NSW 2052, Australia

Contact

02 9385 2445
02 9313 6185

Research Activities

Linkage of the Australian Childhood Immunisation Register (ACIR) and State-based registers to evaluate and inform Australia's immunisation program

Project

Linkage of the Australian Childhood Immunisation Register (ACIR) and State-based registers to evaluate and inform Australia's immunisation program

To optimise the health and cost benefits of Australia’s immunisation program, accurate data are required about how well the program is performing.