Haniya Zehra Syed

Haniya Syed is a lecturer in Public Health and Leadership and has a background in dentistry with a research interest in climate change, women’s health, dental, and global public health.

Email: [email protected]

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Background

Haniya Syed is working as a Lecturer in Public Health and Leadership for the School of Allied Health. She is a qualified dentist with work experience and has worked with organisations such as the Indian Red Cross Society. Haniya is currently pursuing her PhD at ARU which focuses on women’s mental health and the impact of climate change. Haniya has previously completed her MSc in Public Health from ARU as well.

Haniya is a published author with publications in various reputable journals and has also published book chapters. She is a peer-reviewer for journals such as PeerJ, BMJ Public Health, etc. In her previous role, she worked at the Cambridge City Council on a project which aimed to help young people from marginalised and disadvantaged groups gain various skills by creating a learning ecosystem in the local area.

Broadly, her focus areas are Climate change, Women’s health, Mental Health, health and well-being of Minority/Marginalised and Disadvantaged communities, and Dental Public Health.

Being a part of ARU, Haniya has represented the university as a student ambassador and continues to do so during open events, etc. So feel free to contact her in case you have any university-related queries, which are not course specific.

Spoken Languages

• English
• Hindi
• Urdu
• French (Basic)

Research interests

• Epidemiology and Biostatistics – Mainly quantitative research methods
• Climate Change
• Women’s Health
• Mental Health
• Health of Marginalised/Minority and Disadvantaged groups.

Areas of research supervision

• Communicable/non-communicable diseases
• Climate Change
• Mental Health

Teaching

• Epidemiology and Biostatistics
• Research methods
• MPH supervision for Major Project

Qualifications

• Bachelor of Dental Surgery (BDS), Indira Gandhi Govt. Dental College and Hospital, India
• MSc Public Health (MPH), Anglia Ruskin University, Cambridge
• PhD (ongoing), Anglia Ruskin University, Cambridge

Memberships, editorial boards

• Indian Dental Association (IDA)

Selected recent publications

Kabir R, Syed H.Z., Vinnakota D, Okello S, et al. (2024) “Suicidal behaviour among the university students in the UK: A systematic review”, Heliyon, e24069, ISSN 2405-8440, (https://doi.org/10.1016/j.heliyon.2024.e24069)

Kabir R, Hayhoe R, Syed H.Z. et al. Predictors of intimate partner violence among women of reproductive age group from Rwanda [version 1; peer review: awaiting peer review]. Routledge Open Res 2023, 2:40 (https://doi.org/10.12688/routledgeopenres.18018.1)

Kabir, R., Hayhoe, R., Bai, A. C. M., Vinnakota, D., Sivasubramanian, M., Afework, S., Chilaka, M., Mohammadnezhad, M., Aremu, O., Sah, R. K., Khan, H. T. A., Messner, S., Syed, H. Z. and Parsa, A. D. (2023) “The systematic literature review process: a simple guide for public health and allied health students”, International Journal of Research in Medical Sciences, 11(9), pp. 3498–3506 (doi:10.18203/2320-6012.ijrms20232496)

 Kabir, R., Bai, A. C. M., Syed, H. Z., Hasan, M. R., Vinnakota, D., Kar, S. K., Singh, R., Sathian, B., & Arafat, S. M. Y. (2023). The effect of COVID-19 on the mental health of the people in the Indian subcontinent: A scoping review.Nepal journal of epidemiology, 13(2), 1268–1284. https://doi.org/10.3126/nje.v13i2.52766

Kabir, R., Syed, H.Z., Vinnakota, D., Sivasubramanian, M., Hitch, G., Okello, S.A., Sharon-Shivuli-Isigi, A.T., Pulikkottil, I., Mahmud, L. and Dehghani, A.D. (2023) Deep learning for clinical decision-making and improved healthcare outcome, Deep Learning in Personalized Healthcare and Decision Support, pp. 187–201. Available at: https://doi.org/10.1016/B978-0-443-19413-9.00004-7.

 Kabir, R., Sivasubramanian, M., Hitch, G., Hakkim, S., Kainesie, J., Vinnakota, D., Mahmud, I., Hoque Apu, E., Syed, H.Z. and Parsa, A.D. (2023) “Deep learning” for healthcare: Opportunities, threats, and challenges, Deep Learning in Personalized Healthcare and Decision Support, pp. 225–244. Available at: https://doi.org/10.1016/B978-0-443-19413-9.00017-5.