Biostatistics is the application of statistical reasoning to the biological sciences, and it provides the key to unlocking research data and evidence published in the scientific literature. Biostatistics can assist in determining the most effective strategy to treat populations. The purpose of epidemic control is to not only determine the best technique to treat an affected person, but also to limit the spread of the disease throughout the population. Every public health researcher requires to grasp biostatistics because it provides a set of precise tools for drawing meaningful inferences from data. To deal with outbreaks of infectious diseases like Ebola and COVID-19, public health officials, health care workers, and the scientific community rely on accurate and timely data.
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