Research in public health aids in understanding the social, genetic, and environmental factors that affect population health. Cross-disciplinary research examines population samples and considers biological elements, biostatistics, epidemiology, and genetics. This makes it possible for researchers to pinpoint traits that increase the likelihood that population health events like obesity, heart disease, and cancer will occur. Although there are many different ways that public health research is carried out, including case-control studies, cross-cutting studies, cause-of-death registries (that is, registries that list whether someone died from cancer, cardiovascular disease, or pneumonia, among other causes), and medical administrative databases, big data on people's prior medical appointments, procedures, diagnostic information, and past prescriptions is an incredibly useful source.
Title : Spillover at the edge: Mapping zoonotic disease risk in the wildland-urban interface
Roman Sharnuud, University of Tennessee, United States
Title : AI for good? Expanding our understanding of opinion leaders in a changing digital landscape
Amelia Burke Garcia, NORC at the University of Chicago, United States
Title : Confidence as care: Empowering under represented voices in public health leadership and community engagement
Sheena Yap Chan, The Tao of Self-Confidence, Canada
Title : Redefining eHealth literacy for the digital age: A scoping review to advance equity, engagement, and behaviour change
Comfort Sanuade, Concordia University, Canada
Title : Innovative approaches in public health leadership: Empowering communities for resilient health systems
Mohammad Kamal Hussain, Umm Al-Qura University, Saudi Arabia
Title : Assessing human exposure to key chemical carcinogens diagnostic approaches and interpretation
Vladan Radosavljevic, Military Medical Academy, Serbia