About
Epidemiology is the scientific discipline that focuses on the study of how diseases are distributed across populations and the factors that influence their occurrence. This field plays a critical role in public health by identifying patterns, causes, and effects of health conditions, aiming to prevent outbreaks and control the spread of diseases. Researchers in Epidemiology investigate disease patterns, risk factors, and health outcomes to develop evidence-based strategies for disease prevention, surveillance, and health promotion.
The study of Epidemiology integrates methodologies from biostatistics, environmental sciences, and social sciences to assess health risks and implement preventive measures. By leveraging data analysis, field research, and population studies, this field is essential for shaping public health policies, improving healthcare systems, and enhancing global health security. Advancements in epidemiological research are pivotal for responding to emerging health threats, improving community health, and reducing the burden of chronic and infectious diseases.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
- Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Properties of Indium Antimonide Nanocrystals as Nanoelectronic Elements
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Lifestyle and Well-being among Portuguese Firefighters
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